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👁️ AI Visibility

Camilo Aponte
By Camilo Aponte
• 27 articles

📊 AI Visibility Topic Limits and Query Quota

📌 Overview AI Visibility helps you track how your brand appears in AI-generated answers. Each account has a limit on how many projects you can track and a monthly AI Visibility credit allowance based on your plan. This article explains how those limits work, how to check yours, and how to get the most out of them. ❓ What Is a Topic? A topic is a subject or theme you want to monitor in AI answers, such as a product category, a service, or a question your customers ask. Each topic groups together the queries (the actual questions or prompts) that are checked on your behalf. - Topic: the theme you track, for example "email marketing software". - Query: an individual question or prompt related to that topic. - AI Visibility credits: the monthly allowance your plan gives you for scans. A scan costs one credit for each active query you added, for each AI platform selected. Auto-generated queries run but do not use credits. 🔢 How Many Topics Can I Add? How many projects you can track, and how many AI Visibility credits you receive each month, depends on your Search Atlas plan. Compare plans on the pricing page, because a higher plan does not always include both more projects and more credits. The most accurate numbers for your account are the AI Visibility Projects and AI Visibility Credits figures shown in the Quotas menu. Your project limit and your monthly AI Visibility credit allowance are separate. You might still have room to track another project but have used most of your credits, or the other way around. 🔍 How to Check Your Current Limits 1. Log in to your Search Atlas account. 2. Open the AI Visibility section from the main navigation. 3. Open the Quotas menu in the header and check the AI Visibility Projects and AI Visibility Credits rows. They show how many tracked projects and how much of your monthly credit allowance you have used. 4. To confirm what your plan includes, open the pricing page and compare the AI Visibility projects and credits listed for each subscription. If you cannot find a usage indicator, the chat team can confirm your exact allowance for you (see the last section). 🚧 What Happens When I Reach the Limit? When you reach your AI Visibility project limit, you cannot track another project until you deactivate AI Visibility for one or move to a plan that allows more projects. Your existing projects and their data stay in place. A project covered by your OTTO subscription for that domain does not count toward this limit. AI Visibility credits are not currently charged for scans, so running out does not pause scheduled scans. When credit charging is on, scheduled scans for projects that include queries you added pause until your monthly allowance refreshes, you buy a top-up, or you upgrade. Projects that only use auto-generated queries keep updating, and your existing results remain available to view. 💡 Tips to Make the Most of Your Limits - Focus on high-value topics. Start with the products, services, or questions that matter most to your business. - Avoid overlapping topics. If two topics cover nearly the same idea, combine them into one. - Remove topics or queries you no longer need. Deleting queries you added lowers how many credits each future scan uses. For auto-generated topics and queries, the delete action turns them off for your account instead of permanently deleting them. - Review results regularly. Keep topics that give useful insights and replace those that do not. - Plan before adding. Write a short list of priority topics first so you do not use up your allowance on low-impact ones. ⬆️ Need More Topics or Queries? If your current plan does not give you enough room, you can upgrade to a plan with a higher allowance. Open the pricing page to compare options. Changes usually apply to your account once the upgrade is complete. 🛠️ Troubleshooting Common Issues - I cannot add a new topic. You have likely reached your topic limit. Remove an unused topic or upgrade your plan. - My queries are not running. Your query quota may be used up. Check your usage and see whether it refreshes soon. - The limit shown looks different from what I expected. Your plan may have changed recently. Check your current subscription in your billing settings. - I removed a topic but still cannot add one. Refresh the page and try again. If it still does not work, contact the team through chat. **💬 Still Need Help? If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat. Let them know your account details and what you are trying to do, and they can confirm your exact topic limit and query quota.

Last updated on Nov 09, 2026

💡 AI Visibility Extra Project Slot Pricing

🔍 What Is an Extra Project Slot? Each AI Visibility plan includes a set number of projects. A project is usually one website or brand you track. If you need to track more than your plan allows, you can add extra project slots as an add-on instead of upgrading your whole plan. Each extra slot lets you track one additional project in AI Visibility. 💰 How Much Does One Extra Slot Cost? A common question is: "Is one slot $29 per month or $29 per year?" The add-on row shows the price with a /mon unit, and the window's Price line shows the amount followed by "per project" (with "per project per month" as the billing description). Extra project slots are billed monthly, not yearly. Read that label in the add-on window before you confirm so there are no surprises on your next invoice. Here is what to look for in the AI Visibility Projects add-on window: - Price: the amount charged for each extra project, shown as "$29 per project", billed monthly. - Billing period: monthly. The price is shown as "per project", and the charge repeats each month. - Project total: a slider or number box where you set how many projects you want in total. The Total is the price per project multiplied by the number of projects you are adding. - Total: the amount charged right now, shown in USD. 🧾 How to Confirm Your Billing Period Before You Pay 1. Log in to your Search Atlas account. 2. Open the Billing page and choose AI Visibility Projects. When you hit your project limit in AI Visibility, select "Buy More Projects" and you are taken to the Billing page, where the add-on window opens. 3. When you reach your project limit, AI Visibility shows "No available quota for AI Visibility Analysis" with both an "Upgrade Plan" button and a "Buy More Projects" button. This includes the Starter plan, which comes with 1 AI Visibility project. Buying more is blocked on the Billing page, which says AI Visibility is not included on Starter and asks you to upgrade your plan. 4. Read the Price line, which shows the amount per project, billed monthly. 5. Check the project total you set and the Total line, shown in USD. 6. Only select the "Upgrade to N AI Visibility Projects" button once the details match what you expect. If the billing period is not clear to you, stop before confirming and ask our team (see the last section). ➕ How to Add an Extra Project Slot 1. Go to AI Visibility in your dashboard. 2. Open a project you cannot track because you are at your limit. You will see "No available quota for AI Visibility Analysis" with an "Upgrade Plan" button and a "Buy More Projects" button. 3. Use the slider or number box to set the total number of AI Visibility projects you want. The add-on covers the projects above your current total. 4. Review the price and billing period. 5. Confirm your purchase. After the purchase is complete, the new slot appears in your account and you can create your additional project. 📅 How Add-On Charges Appear on Your Account - Your add-on is charged separately from your main plan, so you will see it as its own line item. - Your billing section shows your active add-ons and their renewal details. - If you add more than one slot, the charge reflects the total number of slots. Check your billing section after purchase to confirm the amount and the next renewal date match what you saw at checkout. 💡 Tips to Avoid Billing Surprises - Always read the /month or /year label before confirming. - Add only the number of slots you need right now. You can add more later. - Save your confirmation or receipt for your records. - Review your billing section after any change to your plan or add-ons. ❓ Frequently Asked Questions Is the $29 price for one slot charged monthly or yearly? The billing period appears next to the price at checkout. Use that label as the final answer for your account. If it is unclear, ask our team before you buy. Can I add more than one slot? Yes. Choose the quantity you need when you add the slot. The total will update before you confirm. Will the add-on appear separately from my plan? Yes. It is listed as its own item in your billing details. Can I check the price without buying? Yes. The price summary is shown before you confirm, so you can review it and leave the screen without being charged. 🛟 Need Help? If you are unsure whether your extra slot is billed monthly or yearly, or if a charge looks different from what you expected, our team can check your account and confirm the details. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 08, 2026

🔍 AI Visibility Competitor Changes and Report Download

📌 Overview If you change the competitors in your AI Visibility project and the update does not appear right away, your changes have most likely not been lost. This article explains why a short sync delay can happen, how to update competitors correctly, and how to download your AI Visibility report. ⏳ Why Competitor Changes May Not Appear Right Away AI Visibility compares your brand with competitors across AI-generated answers. When you change your competitor list, the list itself is saved right away, but existing scores, citations, and rank are not rebuilt. Until you save which competitors appear on the chart, and until a new analysis includes the new competitor, the page can keep showing your previous competitors. Common reasons a change looks like it was not saved: - Sync delay: The competitor list updates as soon as the change is saved. Metrics for a new competitor do not appear until the next analysis run, if AI platforms mention that competitor. That can be a manual Re-run Analysis, or the project's scheduled refresh (every 15 days by default). - Unconfirmed changes: Adding or removing a competitor is saved immediately. Choosing which competitors appear on the chart is saved when you click Save changes. Cancel closes the drawer, and if you already changed the list it can still save that chart selection. There is no confirmation message. - Cached page: Your browser is showing an older version of the report. - Invalid entry: Enter the competitor's domain, such as example.com, not a company name. Extra spaces, https://, www, and a trailing path are removed automatically. A value that is still not a valid domain is rejected, and the Add button stays disabled. - Multiple edits at once: Several changes made quickly do not take longer to process. Each add, remove, or visibility change is saved on its own. Wait until the current save finishes before making the next change. 🛠️ How to Change Competitors in AI Visibility 1. Open the brand in Site Explorer, then open its AI Visibility page. 2. On the AI Visibility page, click Manage Competitors. This opens the Manage Competitors drawer. 3. Add a new competitor, or remove one you no longer want to track. Use the competitor's main domain (for example, example.com) so it can be recognized. 4. Click Save changes. This stores which competitors are shown on the chart and closes the drawer. No confirmation message appears. Add and remove are saved by their own buttons before this. 5. Stay on the page for a moment, then refresh it to check whether the new list has loaded. Making all your edits in one session, then saving once, helps avoid conflicts and speeds up processing. ✅ What to Do If Your Changes Still Do Not Appear Work through these steps in order: 1. The competitor list itself is current as soon as it is saved. Refreshing the page does not create scores for a new competitor. Those appear after the next analysis, either from Re-run Analysis or from the scheduled refresh. 2. Do a hard refresh. Press Ctrl + Shift + R on Windows or Cmd + Shift + R on Mac to bypass the cached version of the page. 3. Check your entries. Make sure each competitor is spelled correctly and uses a valid domain with no extra spaces. 4. Confirm the save. Re-open the competitor settings and see whether your changes are listed there. 5. Try another browser or a private window. This rules out extensions or cache problems. 6. Repeat the change once. If the list is still unchanged after a reasonable wait, make the edit again and save it. Please avoid making many repeated edits while waiting, since each new change can restart processing. 📥 How to Download Your AI Visibility Report 1. Open the AI Visibility report you want to save. 2. Choose the date range, filters, or competitor set you want to include so the file matches what you see on screen. 3. Look for a Download or Export option, usually near the top of the report. 4. Select the format offered and confirm the download. 5. Check your browser's downloads folder for the file. The exact button label and location may vary depending on your plan and the report view you are in. If you do not see a download option, try switching to the main report view, then check again. 💡 Tips for a Smoother Experience - Finish your competitor changes before downloading, so the report reflects your latest list. - If you just edited competitors, wait for the sync to finish before exporting. Otherwise, the file may show older data. - If the download does not start, make sure your browser is not blocking pop-ups or downloads from Search Atlas. - Keep your competitor list focused on the brands you most want to compare against, so reports stay clear and easy to read. **💬 Need More Help? If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat. To help us resolve your issue faster, mention the project name, the competitors you tried to add or remove, and whether you saw an error message.

Last updated on Nov 09, 2026

📊 AI Visibility Summary vs Report Builder Metrics

🔍 Overview Some customers notice that the same AI Visibility data looks different in AI Visibility and Report Builder. Visibility Score is shown as a percentage in AI Visibility and as a whole number without a percent sign in Report Builder, although rounding and scope can make the figures differ. Citation totals for the same date range, such as September 1-30, may also not match. This article explains the most common reasons for these differences, how to compare the two views fairly, and what to do if the numbers still look wrong. ❓ Why Visibility Score Looks Different The two views are built for different purposes, so they can present the same metric differently. - AI Visibility Summary tab: A live dashboard for monitoring. It shows Overall Visibility Score as a percentage. The score is the share of broad, unprompted AI responses in which your brand is mentioned, averaged over the selected date range. - Report Builder: Designed for shareable, client-ready reports. Its AI Visibility Score widget shows the same kind of score as a whole number without a percent sign, not as a rank. Because of this, 11.7% and 7 should not be converted into one another. A percentage and a number are different formats, and one cannot be calculated from the other without knowing how the widget works. 🔢 Why Citation Numbers May Not Match Even for the same date range, citation totals can differ for these reasons: - Different counting methods: The Summary citation card counts every source cited in responses to your queries, including competitor sources. A competitor or domain view instead counts citations of one domain. A narrower count is the same as or lower than the all-sources total. - Different filters: AI Visibility can be filtered by date, AI platform, topic, and query. A standard AI Visibility report widget follows the report's date range and selected project, so its scope can still differ from the dashboard. - Different scope: One view may include citations of competitors, while the other counts only your brand or domain. - Different project or brand: If you manage several projects, the report may be linked to a different one than the dashboard. - Data refresh timing: AI Visibility data is collected on a schedule. If one view was last updated before the other, totals can differ slightly. ✅ How to Compare the Two Views Accurately Follow these steps to make sure you are comparing like with like. 1. Open the AI Visibility Summary tab and note the project, date range, and any active filters for AI platform, topic, or query. 2. Open your report in Report Builder and select the AI Visibility widget you want to check. 3. Confirm the widget uses the same project as the dashboard. 4. Set the report's date range to exactly match the dashboard, for example September 1 to September 30. 5. Use the report's project and date range to match the dashboard. The standard AI Visibility widgets do not have separate platform, topic, or query filters to clear. 6. Check the widget's label to confirm which metric it shows, such as Overall Visibility or Citations Found. The label does not by itself state whether a citation count is an all-sources total or a per-domain count. 7. Save the matching date range and project configuration, let the report reload, and compare the numbers again. 💡 Tips to Avoid Confusion - Use the AI Visibility Summary tab for day-to-day monitoring and trend tracking. - Use Report Builder for presenting results to clients or stakeholders, and note which metric format each widget uses. - When you share a report, mention the date range and filters so readers know what the numbers represent. - Compare trends (up or down over time) rather than exact values across the two views. - Avoid comparing a report generated on one day with a dashboard viewed on another day, especially if the date range includes recent days. 🛠️ If the Numbers Still Do Not Add Up If you have matched the project, date range, and filters and the numbers still differ in a way you cannot explain, there may be a display or data issue we should review. Please gather the following before reaching out so we can resolve it faster: - The project or brand name - The exact date range (for example, Sept 1-30) - Screenshots of both the AI Visibility Summary tab and the Report Builder widget - The filters applied in each view - The values you see in each place (for example, 11.7% and 7) **💬 Need More Help? If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 09, 2026

🛠️ Fix Competitor Selection in AI Visibility

🔎 What This Article Covers If you have added a competitor domain in AI Visibility and the competitor list will not let you show or hide entries in the charts, your chart may already have reached the 4-competitor limit, or you may need to deselect another competitor first. This guide explains how competitor selection works and walks you through managing your competitors, which usually takes less than two minutes. 🤔 Why Competitor Selection Stops Responding When you add a competitor, Search Atlas saves the competitor to your project and updates the list. In the Manage Competitors drawer, you can show or hide competitors in the charts using the visibility toggle, up to a maximum of 4 competitors shown at a time. If 4 competitors are already selected, selecting another competitor is disabled until you deselect an existing one, and changes are applied to your charts when you save. If a competitor cannot be selected, check whether the chart limit of 4 competitors has already been reached or if an error message appears in the drawer. Your saved competitors remain safely stored on our servers. ⚡ Quick Fixes to Try First Before clearing your cache, try these faster options in order. They resolve the issue for most users: - Hard refresh: Press Ctrl + Shift + R on Windows or Cmd + Shift + R on Mac. This reloads the page without using cached files. - Private or incognito window: Open Search Atlas in a private browsing window. Private windows skip the cache, so if selection works there, a full cache clear will fix your main browser too. - Reload the page: If the competitor list does not update after saving changes, refreshing your browser page re-fetches the latest competitor data directly from the server. - Different browser: Log in with another browser to confirm your account and competitor data are intact. 🧹 How to Clear Your Browser Cache If the quick fixes did not work, clear your cache. This forces your browser to download a fresh copy of the AI Visibility page. Follow the steps for your browser: Google Chrome: 1. Click the three-dot menu in the top-right corner. 2. Go to Settings and select Privacy and security. 3. Click Delete browsing data. 4. Choose Last 7 days, or All time for a full reset. 5. Tick Cached images and files. You can leave cookies and history unticked if you prefer. 6. Click Delete data. Mozilla Firefox: 1. Click the menu button and go to Settings. 2. Select Privacy and Security and scroll to Cookies and Site Data. 3. Click Clear Data and tick Cached Web Content. 4. Click Clear. Safari: 1. In the Safari menu, choose Settings. 2. Open the Privacy tab and click Manage Website Data. 3. Click Remove All, then confirm. Microsoft Edge: 1. Click the three-dot menu and go to Settings. 2. Select Privacy, search, and services. 3. Under Delete browsing data, click Choose what to clear. 4. Tick Cached images and files and click Clear now. 🔄 Re-select Your Competitors After Clearing Once your cache is cleared, follow these steps to confirm the fix: 1. Close all Search Atlas tabs completely. 2. Open a new tab and log back into the platform. 3. Navigate to AI Visibility and open your competitor list. 4. Click each competitor to select or deselect it. The controls should now respond immediately. 5. Refresh the page once and check the list again to confirm your changes were saved. 🛡️ How to Avoid This Issue Going Forward - Perform a hard refresh right after adding a new competitor. - Clear your cache every few weeks if you use AI Visibility daily. - Avoid keeping the competitor list open in multiple tabs at the same time, because older tabs can display stale data. 💬 Still Not Working? If the select and deselect controls still do not respond after a hard refresh and a full cache clear, our team can check your account directly. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 08, 2026

📊 Change AI Visibility Scan Frequency

📊 What AI Visibility scan frequency means AI Visibility scans check how your website appears in AI-powered search experiences. The scan frequency is the number of days between those checks. In Search Atlas this setting is called analysis frequency days. A value of 3 means a scan about every three days. A value of 7 means a scan once per week. The setting applies to one website at a time, so each domain can have its own schedule. ⚙️ Why teams switch to a weekly scan A three-day scan refreshes results more often. A weekly scan is useful when you want a steadier review cycle, fewer repeat scans, and reports that line up with a once-a-week check-in. - Every 3 days: more frequent updates and a shorter gap between scans. - Every 7 days: one scan per week for that website. Changing the frequency does not remove past AI Visibility results. It only changes when the next scans run. 🛠️ How to set scans to once per week Scan frequency is updated by our team for the website you name. Have these details ready before you start a chat: 1. The exact website, including the full domain, such as www.merlinlawgroup.com. 2. The product area: AI Visibility. 3. The schedule you want: once per week, which is 7 days (not 3). If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. Use a short request so the change is applied to the right site, for example: set AI Visibility scan frequency for www.yourdomain.com to 7 days (once per week). 💡 What to expect after the change - The website’s AI Visibility scans move from every 3 days to every 7 days. - Existing scan history stays available. - The next scan follows the new weekly interval rather than the old three-day interval. - Only the domain you named is updated. Other sites keep their current frequency until you request a change for them. If the site still appears to scan every three days after the update is confirmed, share the domain again in the same chat so the team can recheck the analysis frequency days value.

Last updated on Nov 08, 2026

🔍 Analyzing Queries with AI Visibility

🎯 What Query Analysis Does AI Visibility shows how AI search engines answer a specific question and whether your domains appear in those answers. Query analysis in QUEST lets you test a prompt and compare results across the domains you choose, so you can see where you are visible and where competitors are cited instead. 📍 Where to Find It UI path: Left sidebar → AI Visibility → Topics & Queries 🚀 How to Analyze a Query Follow these steps to run your first analysis: 1. Open AI Visibility from the main navigation in your project. 2. Click Analyze query. 3. Enter the prompt you want to test. Write it the way a real customer would ask it, for example best running shoes for flat feet. 4. Select the domains you want to compare, including your own site. 5. Click Submit and wait for the analysis to finish. Larger domain sets may take longer. 📊 Reading Your Results Each result shows which engines responded to your prompt and whether each selected domain was referenced in the answer. Use these results to spot gaps. If a competitor is cited and your domain is not, review the content that answers that question and consider updating it with clearer, more specific information. 🛠️ Why an Engine May Show as Unavailable If an engine such as Perplexity shows as unavailable, the cause is usually one of the following: - Plan access: Not every engine is included in every plan. Check your subscription details to confirm which engines you can use. - Location settings: Engine coverage depends on the location configured for your project. An engine may not return results for a market that is not enabled. - Temporary service issues: An engine may be briefly unreachable. Wait a short time, then run the analysis again. If the engine still shows as unavailable after checking these points, contact our team using the steps at the end of this article. 🌏 Should You Activate AI Visibility for Australia? Activate the Australia location only if your target customers are in Australia. Activating a location adds results for that market, so your analysis reflects what Australian users see rather than results from another country. Before you turn it on, consider the following: - Confirm that your business or campaign targets Australian customers. - Review your plan and usage limits, since additional locations can affect how much analysis you can run. - Decide which domains and prompts you will track for that market so your results stay focused. If you are unsure whether Australia should be active for your project, ask a teammate who manages your SEO strategy before making the change. 💡 Tips for Better Query Analysis - Test prompts that match real search intent, such as questions, comparisons, and how-to requests. - Keep your domain list consistent across runs so you can track changes over time. - Run the same prompt after publishing new content to measure whether your visibility improves. - Group related prompts by topic so patterns are easier to spot. **🤝 Getting Further HelpIf you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 08, 2026

💡 LLM Visibility 380 Credit Charge Explained

🔍 What the 380-credit charge covers The 380-credit LLM Visibility charge is the cost of one weekly refresh. Only custom queries use credits. Auto-generated queries are free and are not included in the charge. In this breakdown, the project had 110 total queries. Of those, 15 were auto-generated and free, leaving 95 billable custom queries. Those custom queries were checked on 4 active platforms. Credits are calculated as billable custom queries multiplied by active platforms: 95 × 4 = 380 credits for that weekly refresh. 📊 How credits are calculated - Total queries: 110 - Auto-generated queries (free): 15 - Billable custom queries: 95 - Active platforms: 4 - Weekly refresh cost: 95 × 4 = 380 credits Adding custom queries or turning on more platforms increases the credit total for each refresh. Removing custom queries or using fewer platforms lowers it. ⚙️ How to reduce LLM Visibility credits You can lower usage from AI Visibility settings in three ways: 1. Adjust refresh frequency so refreshes run less often. 2. Select fewer platforms so each custom query is checked on fewer platforms. 3. Remove unneeded custom queries so only the queries you still need stay billable. Auto-generated queries stay free. After you change frequency, platforms, or custom queries, the next refresh uses the updated totals. **💬 Need more helpIf you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 08, 2026

🤖 AI Visibility and PR Network Pricing

🤖 What to prioritize for non-branded AI answers AI answers cite pages that clearly and specifically answer a question, not pages that only mention your brand. For non-branded queries, put effort into the topic itself before you spend on distribution. - Answer the question first. Give a direct, factual response in the opening section, then add supporting detail. - Use one clear topic per page. Match the page to how people ask the question, including the product, location, or use case. - Publish original facts. Include numbers, definitions, steps, comparisons, and limits that are not copied from competitors. - Name the source of each claim. Show who wrote it, when it was updated, and which evidence supports it. - Keep brand facts consistent. Use the same company name, offerings, and descriptions on your site and in outside mentions. - Link related answers. Connect supporting pages so a system can see the full topic, not one isolated post. - Earn relevant third-party mentions. A press release helps only when it points to a page that already answers the query well. Do not expect a single release, score, or module to place you in AI answers. Visibility follows clear, current, citable content plus trustworthy mentions. 📰 Press networks that fit about 84 HDC HDC is the authority score shown on each network in your press distribution list. A fit near 84 HDC means the network’s listed score is about 84, usually in a tight band such as the low-to-mid 80s, not a guarantee of placement or AI citation. 1. Open Press Release distribution inside your account. 2. Sort or filter by HDC and review networks near 84. 3. Prefer networks whose audience and topic categories match the non-branded query. 4. Read the network description, reach, and restrictions before you add it. 5. Link the release to the exact page that answers the query. Choose relevance over the highest score. A network well above 84 that does not cover your topic is a weaker fit than a relevant network near 84. The list in your account is the source of truth. Another customer’s shortlist does not apply to you. 🧩 How the Q&A module places text The Knowledge Based Trust and Factual Enhancement (Q&A) module adds question-and-answer content as visible text on the page. Readers can see the questions and answers. The module does not deploy hidden, cloaked, or off-screen text. - Questions should match real non-branded searches. - Answers should be short, factual, and consistent with the rest of the page. - Visible Q&A supports trust signals. Hidden text does not, and you should not add it yourself. - Review the deployed block on the live page after publishing and correct any fact that is outdated. 💲 Network IDs and prices on your account Network IDs and prices are account-specific. They are not one shared rate card. The ID and price that apply to you are the ones shown beside each network in your distribution list at the time you place the order. - Each row shows the network ID, name, HDC, and current price. - Price can change by plan, credits, add-ons, and promotions on that account. - Confirm the ID and price in the order summary before you submit. - A screenshot or quote from another account, a past campaign, or a sales example is not your current price. - If a network near 84 HDC is missing, it is not enabled for this account. Do not reuse an ID from outside the list. To reduce billing questions, export or note the network ID, HDC, and price from the confirmation screen for that order only. ✅ A practical order of work 1. Pick one non-branded query and the page that should be cited. 2. Make the answer visible, specific, and up to date, including the Q&A block. 3. Select press networks near 84 HDC that match the topic. 4. Check that network’s ID and price on your account, then distribute. 5. Recheck the live page and the release link after publishing. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 08, 2026

🤖 Improve AI Visibility and PR Fit

🤖 What to prioritize for non-branded AI answers AI answers cite pages that clearly match the question, not just pages that rank for a brand name. For non-branded queries, put effort into pages a stranger would trust when comparing options. - Answer the exact question first. Open each page with a short, direct answer, then add detail, examples, and limits. - Build topical clusters. Create one strong page per intent, such as eligibility, rates, process, costs, and comparisons, and link them together with plain anchor text. - Show real expertise. Name the business, authors, and sources. Add dates, locations served, and facts that can be checked. - Earn mentions off your site. Consistent citations on relevant news, directories, and partner pages help AI systems connect your brand to the topic. - Keep pages readable. Use clear headings, short paragraphs, and the same terms customers use. Avoid stuffing keywords. Do not chase brand queries first. A branded mention rarely helps you appear for queries that never include your name. 📰 Press networks that fit about 84 HDC Authority Tier (Domain Authority) near 84 means the site is already well established. Choose distribution that matches that level instead of blasting every network. Remember that HDC are the credits you spend on each distribution, so targeted choices also save credits. ** - Best fit: Editorial or niche networks in your industry, regional outlets, and partner sites whose audience already cares about your topic. - Acceptable fit: Mainstream wires used sparingly for a real announcement, such as a new service, study, or location, with a link back to a useful page. - Poor fit: Low-quality mass networks, paid link schemes, and duplicate releases posted everywhere with the same anchor text. One relevant placement on a trusted site is more useful than many weak pickups. Match the story to a non-branded page you want cited, and keep the release factual and unique. ❓ Knowledge Based Trust Q&A: visible or hidden Publish the Q&A as visible text on the page. Visitors and AI systems should read the same questions and answers. Do not hide, cloak, or inject answer text that people cannot see. Hidden text can be treated as spam and will not build trust. Place the module in the main content, use real customer questions, and make each answer specific to that page. Visible Q&A also gives people a reason to stay and cite the page. 🛠️ Setup changes to make on your site Use this checklist on the live site, including loan or finance sites that want non-branded visibility: 1. Clarify the entity. Use one business name, logo, and description in the header, footer, About page, and profiles. 2. Map priority queries. Pick the non-branded questions you want to win and assign each to one indexable URL. 3. Rewrite thin pages. Lead with the answer, then cover requirements, steps, costs, and who the offer is for. 4. Make sure your Knowledge Based Trust questions and answers are approved and deployed in OTTO (Semantic Analysis and Knowledge Based Trust), and that the page has been re-scanned. Currently OTTO adds the Q&A as FAQ schema plus an on-page FAQ block that may be hidden from visitors by default, and there is no user setting to switch it to visible. If you need the Q&A visible to readers, add the questions and answers to the page content yourself, or ask Search Atlas support. I only checked these two paragraphs, and only against the code. I didn't check the other paragraphs of the article. 5. Fix internal links. Link from high-traffic pages to those answer pages with descriptive anchors. 6. Align off-site mentions. Point press links to the matching answer page, not only the homepage. 7. Review after publishing. Check that the copy is readable without JavaScript tricks and that important claims are accurate. Avoid doorway pages, copied releases, and separate text for bots. Consistency across the site and citations matters more than extra plugins. 💬 If you still need help If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 04, 2026

💡 AI Visibility Credits Cannot Convert to OTTO

💡 Why credit conversion is not available AI Visibility credits cannot be turned into OTTO credits. Support cannot convert a requested amount, including a request to move 100 AI Visibility credits to OTTO credits. Plan how you will use the AI Visibility credits you already have instead of waiting for a conversion. 📊 How to use your remaining AI Visibility credits Put unused AI Visibility credits toward these activities: - Use Upload topics and queries to add many topics and queries at once from a CSV file with topic and query columns. How many you can track is set by your plan's query allowance, not a 100–200 upload limit. - Open the Share of Voice chart to see each brand's share of all brand mentions in the AI responses for your tracked queries, including how competitors compare with you. - In AI Visibility settings, open Update Schedule and choose Daily, Every 3 days, Every 7 days, Every 14 days, Every 30 days, or Never. The project then refreshes on that schedule without a manual rerun, and the choice changes how many credits you use. 🔍 Find decision-stage prompts Keyword Researcher and GSC Insights are separate research tools. To track high-intent topics in AI Visibility, add the queries yourself in the project's topics and queries. 🛠️ Review the Topical Backlink Gap Run a Backlink Gap Analysis to compare your backlink profile with competitors. It is a separate research tool and does not decide how your AI Visibility credits are used. 💬 If you still need help If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 04, 2026

📄 AI Visibility PDF Download Was Fixed

📄 What this article covers Some customers could not download the AI Visibility section of a Report Builder report as a PDF. Selecting download returned an error instead of the file. Support confirmed this was a product issue, tracked it, and released a fix. If you see the same error, try the download again. 🛠️ What support found The failure was not limited to one browser session. Support asked the customer to try again in a private or incognito window and to record the steps. The error still happened, and support reproduced it. The case was logged as ticket RB-2218, and the fix is in the current Report Builder code: a signed-in PDF capture no longer waits forever on the sign-in check. After the fix, the customer should try the download again. ✅ What you should do now 1. Open the same report in Report Builder and go to the AI Visibility section you want to download. 2. Open Share & Export, choose Download report, then Download as PDF. In the Export as PDF window, select Export This Section. That downloads only the AI Visibility section. Export Full Report downloads every section instead. 3. Wait while the page says it is preparing your PDF. When the browser print window opens, choose Save as PDF. The file is saved without the "PDF export failed" message. You do not need a special workaround. The earlier failure was fixed in the product, so a normal download should work. 🔍 If the download still fails Try the download once more in a private or incognito window, the same check support used before escalating. If it still fails, contact support and include the report name, that you are downloading the AI Visibility section as a PDF, and the message "PDF export failed" if it is shown. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 04, 2026

🛠️ Resolving Prompt Simulator Bulk Export Failures

🔍 Understanding Prompt Simulator Export Issues Prompt Simulator stores completed responses and associated analysis data. If an Atlas Agent request to create a CSV or Excel file fails, this does not establish that the simulator failed or that the dataset was too large. Report the failed request to Support for investigation. Source: llm-visibility/app/ps/api/v1/viewsets/prompt.py:850–913. A failed file-generation request does not itself delete saved Prompt Simulator results. Reopen saved prompts through the prompt-history dropdown to review available responses. If you need a downloadable dataset, contact Support for assistance. Sources: llm-visibility/app/ps/models.py:34–107; customer-frontend/src/modules/site-explorer/v1/components/site-explorer-page/llm-visibility/tabs/prompt-simulator/PromptInput.tsx:277–295. ⚙️ How to Successfully Export Your Data If your export fails when attempting to download a large batch of results, follow these steps to retrieve your data: 1. Select a saved prompt from the prompt-history dropdown to review its results. Selecting a prompt is not an export action; contact Support if you need help retrieving multiple completed responses in a file. Source: customer-frontend/src/modules/site-explorer/v1/components/site-explorer-page/llm-visibility/tabs/prompt-simulator/PromptInput.tsx:277–295. 2. There is no documented export batch size that guarantees successful file generation. If an Atlas Agent file request fails, share the conversation, affected analysis IDs, and error message with Support so the failure can be investigated. Source: llm-visibility/app/ps/api/v1/viewsets/prompt.py:850–913 implements response retrieval, not a batch file-export operation. 3. Save each export segment: Download each smaller batch file individually to your computer, then combine the files in your spreadsheet editor if you need a consolidated report. 💡 Best Practices for Large Exports To avoid processing delays and ensure smooth downloads when working with extensive prompt simulations, keep the following in mind: - Keep batches manageable: Processing smaller, focused groups of queries ensures more reliable downloads. - Check your browser environment: If an export seems unresponsive, you can test the export in an incognito or private browsing window to rule out browser cache or extension conflicts. 💬 Getting Help If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 04, 2026

📊 Prompt Simulator Platform Availability Status

📌 What this article covers Prompt Simulator runs your prompts on the AI platforms Search Atlas currently supports for your account. A platform that is no longer supported is left out of the platform list. If a run is sent only to platforms that cannot run, the finished run says “No supported platforms available.” This article explains that message, the separate “Platforms no longer available” rejection, and how to tell whether Claude is available. ⚠️ What the status messages mean These messages are platform-availability notices. They are not a sign that your account, project, or prompt is broken. - “No supported platforms available” appears after a run fails because none of the selected platforms could be run. Prompt Simulator does not send the prompt to those platforms. A platform that is simply not supported is omitted from the selector instead. - “Platforms no longer available,” followed by the platform name, means that platform was retired in Search Atlas and the run was rejected. It is not a loading error. A platform that is only temporarily disabled stays in the list with an Offline badge and the tooltip “Currently unavailable.” Search Atlas does not publish a return date inside these messages. A removed platform should be treated as unavailable until it appears again in the supported platform list. 🛠️ Copilot Copilot is no longer available in Prompt Simulator. The external provider we used for Copilot disabled access, so Copilot is not offered as a platform. If a saved run still selects Copilot, it will not run. Choose another platform from the list. There is no confirmed date for Copilot to return. 🚀 Perplexity availability “Platforms no longer available: perplexity” is the rejection shown if a retired Perplexity selection is submitted. It is not a one-time loading glitch. Perplexity is still a Prompt Simulator platform unless it has been retired for your account. Perplexity remains available while it appears in your platform list and is not marked Offline. If it is retired, it disappears from the list and a saved Perplexity run is rejected. Prompt Simulator does not promise that a retired platform will return, so use another listed platform. 💡 Is Claude available? Claude is available in Prompt Simulator only when Claude is shown in the supported platform list for your account. If Claude is missing from that list, it is not currently available, even if you have used Claude elsewhere. There is no separate Claude switch to turn on. Availability is controlled by the platform list, not by the wording of your prompt. 📊 How to check which platforms you can use 1. Open Prompt Simulator in Search Atlas. 2. Review the platform selector before you run a prompt. 3. Use only platforms that are listed and can be selected. 4. If a platform button is marked Offline, leave it unselected. If a run shows “No supported platforms available” or “Platforms no longer available,” do not retry that same platform selection. 5. Run the prompt on a listed platform and confirm that a normal response returns. The platform list in the product is the current source of truth. Older screenshots, saved prompts, or past results do not mean a platform is still supported. ✅ What to do next - Switch the simulation to a platform that is still listed. - Update any saved workflows that depend on Copilot, Perplexity, or another removed platform. - Recheck the platform list later if you need a specific model. A return is not guaranteed and has no published date. - If every platform is unavailable, or a listed platform fails with a different error, contact support with the exact message, the platform name, and the date and time you saw it. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 10, 2026

📊 Why AI Visibility and Reports Differ

📊 What this article covers Some accounts show one AI visibility result on a client report and a different result in the platform for the same site. This is usually a comparison issue, not missing data. Use the checks below before treating the two views as out of sync. 🔍 Why the two views can disagree The client report and AI Visibility both show live data, but each uses its own date range, domain, and filters. They can differ even when the site name looks the same. AI Insights is a written summary, separate from Overall Visibility and Visibility Rank, so a strong insight does not always match those headline numbers. 🛠️ Common causes - Report date versus live data. A report does not freeze its numbers at creation. It loads the current AI Visibility results for the report’s date range each time it is opened. If that range or the filters differ from AI Visibility, the numbers can differ too. - Domain format. www and non-www, or a trailing path, can be treated as different properties. Confirm the exact domain on both screens. - Filters. Location, search engine, date range, or brand filters on one view may not be applied on the other. - Score versus insights. The rank or score summarizes visibility. Individual AI insights describe specific findings and will not copy that number. - Processing time. Recently added sites or refreshed data can show in one place before the report updates. - Client view limits. A shared client report hides owner controls such as Configure Report, the date-range control, and AI Insights refresh. It still shows the same report sections and metric breakdowns. ✅ How to compare them correctly 1. Open the client report and note the domain, date range, and the exact AI visibility label you are comparing. 2. In the platform, open AI visibility for that same domain. Match www, protocol, and any selected location or engine. 3. Set the platform date range to the report period, not “today” or a rolling range, unless the report uses that same range. 4. Compare the same metric only. Do not match an insight card, prompt result, or chart point to the overall rank unless the labels are identical. 5. If the report is older than the latest platform refresh, create or refresh the client report and compare again. 6. Check a second property the same way. If only one site differs, review that domain’s filters and last refresh before assuming a platform error. 💡 What a real mismatch looks like After the domain, dates, filters, and metric names match, the AI visibility rank or score should align with the report. Small timing gaps can remain until the report is regenerated. A mismatch that stays after those checks should be reviewed by support. 💬 What to send support Include both domains, the report name, the date range, screenshots of the report metric and the platform AI visibility view, and the numbers you expected to match. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 06, 2026

🔍 Understanding Perplexity and AI Visibility Updates

🔍 Overview of AI Visibility Changes AI Visibility tracks your brand across several AI engines, including Perplexity. Which engines appear can change: an engine an admin has hidden is removed from the live tracking screens, filters, charts, and reports. That is not the same as Perplexity tracking being turned off for everyone, and the product does not tell you that past Perplexity queries were removed. ⚙️ Why Perplexity Was Removed AI Visibility measures brand visibility and citations from live answers on the AI engines your project tracks. Perplexity is one of those engines. Search Atlas has not published a notice that Perplexity tracking was paused because of Perplexity’s own technical restrictions. 📊 What Happened to Historical Data If an admin hides an engine, AI Visibility stops showing it in the live tracking screens, filters, charts, and reports. Older results for that engine stay stored, but they are not shown in the dashboard, and there is no separate historical-reporting screen for deprecated engines. An engine that is only disabled, not hidden, still appears and is labeled temporarily unavailable, and its past results stay visible. 🤖 Available Models and Claude Integration We receive frequent questions regarding the rollout of different models such as Anthropic's Claude. Here is the current status of model support across our platform: - ChatGPT (OpenAI): Fully supported for brand tracking, citations, sentiment analysis, and generative prompt testing. - Google Gemini: Fully supported for conversational tracking and citation extraction. - Google AI Overviews are tracked as a Site Explorer and Rank Tracker metric for keywords where Google shows an AI summary. They are not one of the engines inside AI Visibility. AI Visibility tracks Google AI Mode instead. - Claude is a supported AI Visibility engine. You can track brand visibility and sentiment on it, and you can run it in Prompt Simulator, subject to your plan and whether an admin has enabled it. It is not a coming-soon or in-development engine. 🛠️ What Search Atlas Is Doing Next Search Atlas does not publish this as a restoration roadmap inside the product. Perplexity is already one of the AI Visibility engines, alongside ChatGPT, Gemini, Google AI Mode, Claude, DeepSeek, and Muse. 1. There is no in-product roadmap item to rebuild Perplexity tracking. Perplexity is already available as an AI Visibility engine unless an admin has hidden or disabled it. 2. AI Visibility does not offer a legacy viewer or a download for past data points after an engine is hidden. While an engine is hidden, it is left out of the dashboard and reports. 3. Claude is already part of AI Visibility. You can track it with your other engines and test prompts on it in Prompt Simulator. It is not listed as a future rank-tracking feature. 💬 How to Get Support We recognize that unexpected changes in your tracking dashboard can disrupt reporting workflows. If you need historical reports pulled manually by an engineer or if you have questions about upcoming feature releases, our support team is available to assist you. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 10, 2026

📤 How to Share AI Visibility Reports

📊 What this article covers This guide explains how to share AI Visibility results with a client. On the AI Visibility project page, use Export CSV on an individual table, such as Topics & Queries, Competitor Comparison, Visibility Score Rank, Sentiment, or Citations. To share the AI Visibility section as a report, open the report in Report Builder, then use Share & Download. You can copy a share link or download the report without giving the client access to your Search Atlas account. 🚀 Before you export Confirm the scan you want to share is finished. An in-progress scan may not include the full summary. - Open the correct project or site. - Go to the AI Visibility area. - Select the completed scan or report you want to share. - Review the summary so the metrics, date, and site match what the client expects. 📤 Export the AI summary On the open Report Builder report, select Share & Download. The AI Visibility project page itself does not have a report-level Export, Download, or Share button. 1. Open the finished AI visibility report. 2. There is no separate summary or detailed export view. In Report Builder, open the AI Visibility section, then choose whether the PDF should include only that section or the full report. 3. Select Export or Download. 4. In Share & Download, choose Download as PDF, Download as Excel, or Download as CSV. If you choose PDF while viewing the AI Visibility section, choose Export This Section or Export Full Report. 5. Save the file to your computer and open it once to confirm it downloaded correctly. If you only need a short overview, export the summary rather than the full detailed report. The summary is usually easier for clients to read. 🤝 Share the report with a client Search Atlas keeps the report in your account. You can send the client a Copy Share Link so they can open the public report without an account, or send a downloaded PDF, Excel, or CSV file through your usual channel. - Attach the exported file to your client email or message. - Add a short note that names the site, scan date, and what the summary shows. - Point out the main findings first, then offer the full file for detail. - Do not share your login. Clients should receive the exported report, not access to your account. A simple client note can say which property was scanned, when the scan ran, and that the attached file is the AI visibility summary. 💡 What to include for the client Keep the handoff short and specific so the client knows how to read the file. - Site or brand covered by the scan - Scan date so the results have context - Summary highlights in a few plain sentences - The exported file as the source of the full summary 🛠️ If the export option is missing Check these items before contacting support: - The scan status is complete, not queued or still running. - You are viewing the report itself, not only the scan list. - Your user role allows exports for that project. - A popup or download blocker is not stopping the file. - You tried the export again after refreshing the report page. If the button is still unavailable, tell support the project name, scan date, and whether you need the summary or the full report. 💬 Need more help If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 08, 2026

⚙️ Adjust Recurring LLM Project Top-Ups

💡 What recurring LLM top-ups are Recurring AI Visibility project top-ups add extra project slots on a repeating billing cycle. They are billed separately from your main Search Atlas plan. You can lower how many extra slots renew and keep the rest of your subscription active. You cannot reduce the total below the number of projects included in your plan. Changing the top-up quantity does not cancel your account, your plan, or your LLM projects. It only changes how many extra top-ups renew on the next cycle. 🛠️ Decrease the number of top-ups Use an account that can manage billing. Then follow these steps: 1. Sign in to Search Atlas. 2. Open Billing, then the Plans & Top-ups tab. 3. Under AI Visibility, find AI Visibility Projects and select Top Up. That opens a window titled "Top up: AI Visibility Projects." 4. In the Top up: AI Visibility Projects window, move the slider to the lower project total you want. Do not use Cancel on the Services tab for your plan or for this top-up if you only want a smaller quantity. 5. Lower the quantity to the number of top-ups you want to keep. 6. Review the updated amount and the date the change takes effect. 7. Save or confirm the change. To keep some extra capacity, choose a total above the number of projects included in your plan. The slider will not go below that plan amount, and it will not go to zero. Lowering the total does not delete projects immediately. If the new limit is lower than the number of AI Visibility projects you are tracking, you must choose which projects turn off on the next billing date before the change can be saved. 📊 What to check after you save - New quantity: Confirm the lower number is shown on the billing page. - Next renewal: the lower amount applies on your next billing date. Until then you keep the current project total and the current charge. - Current access: Projects and credits already paid for usually stay available until the end of the current period. - Main plan: Your core subscription should still show as active. Keep a screenshot of the confirmation if you need to review the change later. ⚙️ If the lower quantity is not available You cannot reduce AI Visibility projects below the number included in your current plan. If the slider will not go lower, that included amount is the floor. Do not cancel the whole subscription to force a lower number. If a reduction is already scheduled, undo it before changing the top-up again. Starter does not include AI Visibility, and Agency plans show projects as unlimited rather than as a reducible top-up. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 09, 2026

🔄 Restart stalled LLM Visibility scans

📌 What this article covers If an AI Visibility project stops creating new snapshots even though analysis is set to run on a schedule, and credits still show none used, the scheduled run may have stalled. This article explains what that credit reading means, what can and cannot be recovered, and how to get the schedule running again. Credits stay at 0 when no charged run has completed. A project that runs only auto-generated queries can keep creating snapshots without using credits. 🔍 What zero credits used means A reading such as 0 of 3,500 means none of the current AI Visibility credit allowance has been used. Plan credits reset on the account's billing-cycle date, while purchased top-up credits roll over until they are used. In the case this article is based on, the allowance refilled on October 19 and snapshots stopped after October 22. Those facts can match: if the scheduled analysis did not complete a credit-using run after the refill, usage stayed at zero. Successful runs made up only of auto-generated queries also leave usage at zero. Zero used does not mean the project is out of credits. It means the expected runs did not finish. ⚙️ What support does to fix a stalled schedule Customers can start a new current analysis with Re-run Analysis, but they cannot recreate the missed scheduled dates themselves. A support agent checks why the scheduled analysis did not resume and restarts it. Operations can separately backfill eligible missing dates. - Missed dates can be recreated by operations as historical backfill snapshots. Each filled day is marked as backfilled, does not use credits, and does not change the live schedule. Gaps that are outside the configured range, or an isolated one-day gap on a daily schedule, stay empty. A backfill fills the trend with a new analysis. It does not reproduce the exact result the missed run would have produced. - The next completed run brings the project current. - After that successful run, analysis continues on the existing schedule, such as every 3 days. 💬 How to ask for a restart If your LLM Visibility project has stopped producing snapshots and credits still show none used since the allowance refilled, contact support so the schedule can be checked and restarted. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat. Include the project name, the date of the last snapshot, your analysis interval, and the credit reading you see. That helps the agent confirm the stall and restart the next run.

Last updated on Nov 11, 2026

📊 Why AI Report Insights Differ From Charts

📊 Why the numbers can disagree A client report can show AI insights that do not match the visibility charts on the same report. Two separate explanations cover the cases support has confirmed: the meaning of Visibility Rank, and a delay between chart data and the written insight. 🔢 Visibility Rank is not competitive rank The column titled Visibility Rank in the report is not your ranking against other businesses. It reflects mention order. The number that actually reflects how often you appear is the Visibility Score. - Use Visibility Score when you want how often the business appears. - Do not read Visibility Rank as a position versus competitors. ⏱️ Insights can lag behind the charts Report insights can be delayed compared with the chart data. That is why an insight can show a provider, such as Anthropic, at 0 while the matching chart shows a value such as 4.3. The chart is the more current figure until the insight catches up. 🛠️ Workaround while the insight is out of date As a workaround for now, remove the AI Insights widget (Key Insights) in edit mode, or turn off the report's AI summary, instead of relying on the outdated figure. Keep using the chart and the Visibility Score for the current picture of how often the business appears. 💬 If the numbers still look wrong If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 11, 2026

🔍 AI Visibility competitor not saving

📌 What this article covers Some customers could not see a competitor they saved in AI Visibility. The domain was entered and saved, but it did not appear in the competitor list when that competitor was already auto-detected. The list now shows a saved competitor even when it is also auto-detected. You can add the competitor again yourself. 🛠️ What was going wrong AI Visibility can already list a site as an auto-detected competitor. If you then tried to add that same site manually, the save did not show the competitor afterward. The platform was not rejecting a valid domain on purpose. A product bug stopped the saved competitor from appearing. A reported example was a college domain that could not be added even though it was entered correctly. The same behavior could affect other domains that were already auto-detected. A subdomain is saved as its root domain, so lccc.wy.edu is tracked as wy.edu. ✅ What to do now 1. Open AI Visibility in your account. 2. Add the competitor domain again when it was auto-detected but is not already shown in your list. If it is already listed, the form says it is already there. You can save up to 20 competitors in one project. 3. Save the competitor. 4. Check that the competitor now appears under Competitors in Manage AI Competitors. Up to four competitors can be shown in the chart at a time. You do not need a special workaround. The fix is already released, so a normal add keeps the competitor visible in the Competitors list. Use Save changes if you also want the chart selection updated. 💬 If the competitor still does not appear Try the save one more time and confirm you are looking at the same project where you added the domain. If the competitor still does not show after save, contact support with the domain you entered and a short screen recording of the attempt. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 11, 2026

🔍 Missing Project Reference on AI Visibility

🔍 What this error means When you open AI Visibility settings, you may see Missing project reference only if you try to deactivate AI Visibility or promote the project while the drawer has no project id. The action stops before it is sent. It does not mean the project is already active, and it does not explain a blank Site Metrics page. ✅ How to tell if activation still worked Treat the message as a display problem first, not proof that activation failed. Support verified all of the following for the affected project: - AI Visibility is not marked active by this error. Support has no separate status created by it. Active means the project is already being monitored. - The project does not start or continue tracking because of the Missing project reference message. The action is blocked until a project id is available. - Site Metrics is a separate Site Explorer page. It is not part of the Missing project reference message, and a blank Site Metrics page does not show whether AI Visibility is tracking. If you see Missing project reference, deactivate or promote did not run. A blank Site Metrics page does not mean AI Visibility turned on. Use Retry in the settings drawer if the project is not ready yet. 🛠️ What you should do 1. Finish the AI Visibility activation for the site, even if the error appears. 2. Do not assume the project is inactive only because of Missing Project Reference or because Site Metrics are not showing. 3. Do not leave the project to keep tracking. Close settings and try again, or use Retry when the drawer says the project is not ready. Your unsaved edits are kept. Close AI Visibility settings and try again, or select Retry when the drawer says the project is not ready. Support does not clear this message by confirming that the project is active. 💬 When to contact support If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat. Include the site you activated and mention the Missing Project Reference error plus any missing Site Metrics. Support can confirm whether the project is active and tracking on their side.

Last updated on Nov 11, 2026

📊 Why AI Visibility Has No June Data

📊 What this article covers AI Visibility (LLM) tracking can be turned on before any results appear. This article explains why a project can show no data for June even when tracking was set up earlier, and how the activation date differs from the first successful analysis. 📅 Activation is not the same as the first result Support checks internal tracking records for the official activation date and status. In a confirmed case, tracking was officially activated on January 26, 2026 at 3:00 PM EST and the status was Monitoring active. Scans run according to the project's scheduled scan cadence. Being active does not mean every week produced a completed result. For that same project, records showed the first successful analysis on July 2, 2026. There were no completed analyses before that date. 🔍 Why June can be empty A website launch date does not create AI Visibility history. If the site launched in June but the first completed analysis was on July 2, June has no snapshot to display. Data starts with the first successful analysis, not with the day tracking was turned on and not with the launch date. - Tracking can be set up months before the first completed analysis. - Only completed snapshots appear as data. - Intervals with no completed analysis stay blank. - Results are not automatically generated for dates prior to the first analysis or backfilled to the website launch date, though missed scheduled runs within a configured window can be backfilled. ✅ What you can check yourself Review the AI Visibility results for your project and note the earliest date that actually shows a completed analysis. Compare that date with the month you expected to see. If the first completed snapshot is in July, June will correctly show no data. You cannot look up the official activation timestamp inside the project view. That date comes from internal tracking records. 💬 If you need your project’s dates If you need the official activation date, status, or the date of the first successful analysis for a specific project, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat. Include the project name and the month that looks empty so support can check the tracking records.

Last updated on Nov 11, 2026

🛠️ Fix Invisible Rank in AI Visibility

🔍 What This Issue Looks Like On the AI Visibility section's Topics & Queries tab, the Visibility Rank number on a topic row could sit on a light grey button face while the number itself stayed white, making it very hard to read. This was a known display bug, not a problem with your data or your account. Your rankings were still being tracked correctly. The issue only affected how that rank number was shown on screen. ✅ The Issue Has Been Fixed Our team tracked this display bug as ticket LLMV-1972 and merged a contrast fix into the Topics & Queries code on 10 November 2026. After that fix reaches your dashboard, the Visibility Rank numbers on topic rows should show as white text on a transparent background. If a rank still looks unreadable, refresh the page and contact support with a screenshot. 🔄 Steps to Take if You Still See the Problem 1. Refresh the page. A hard refresh (Ctrl+F5 on Windows, or Cmd+Shift+R on Mac) clears the cached version of the page so you see the latest release. 2. Clear your browser cache. If a normal refresh does not help, cached styles may still be loading. Clear your browser's cache and revisit the AI Visibility section. 3. Try a different browser or incognito window. This confirms whether the issue is browser-specific caching or something on our side. 4. Log out and log back in. This reloads your session with the most up-to-date version of the platform. 📊 Confirming Your Data Is Unaffected This bug only affected the color of the Visibility Rank number on a topic row. It did not affect how AI Visibility tracks or stores your rankings. While troubleshooting the display, expand the topic to see its query rows, where the same rank appears in normal white text, or click the rank to open the Visibility Rank leaderboard. 💬 Still Not Displaying Correctly? If the rank number is still invisible after refreshing and clearing your cache, this may be a new or separate display issue. If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat. Include the browser you are using and a screenshot of the affected tab so we can investigate quickly.

Last updated on Nov 12, 2026

🔍 AI Visibility Analysis Daily Limit

🔍 Why did my analysis fail? ** An AI Visibility analysis may show “We couldn't finish this analysis” with a message suggesting that you try again. The analysis may have failed, or there may have been a problem displaying its status or results. An accepted manual run may already count toward the daily limit, even if it does not finish successfully. (customer-frontend/src/modules/site-explorer/v1/components/site-explorer-page/detail-page/sections/llm-visibility-states.tsx:507–509; llm-visibility/app/llmv/api/v1/viewsets/project.py:1885–1926) 📊 Why can’t I run it again? ** Manual AI Visibility analysis runs are subject to a configurable daily limit shared across your account’s projects. A run that starts but later fails may count toward that limit even if no results appear. If the limit has been reached, you may be unable to start another manual analysis until the next day. (llm-visibility/app/llmv/api/v1/viewsets/project.py:1802–1809, 1842–1852, 1923–1926) 🛠️ What should I do? 1. Check whether the analysis results or status have updated in the platform. 2. ** Avoid repeatedly starting new analyses. A new manual run that is accepted may count toward the daily limit; a request rejected because a run is already in progress or the limit has been reached does not count as a new run. (llm-visibility/app/llmv/api/v1/viewsets/project.py:1842–1852, 1895–1926) 3. Wait until the daily limit resets, then try the analysis again. 4. If the issue continues after the reset, confirm that you are using the correct project and account. 💡 How can I prevent repeated failures? - ** You can leave the platform while the analysis processes in the background, then return to check its status or results. (llm-visibility/app/llmv/api/v1/viewsets/project.py:1885–1893) - ** Once the analysis has started, you can refresh or close the page and return later to check its status. If you are unsure whether it started, check its status before starting another run. (llm-visibility/app/llmv/api/v1/viewsets/project.py:1885–1893, 1910–1917) - Review your project settings before launching a new analysis. - Record the error message and the approximate time it appeared if the problem repeats. 💬 Need help? If you need further assistance, open the chat widget in the bottom-right corner of the platform and send your message. A member of our support team will reply in the chat.

Last updated on Nov 14, 2026