Onboarding

3 articles Camilo Aponte By Camilo Aponte

🚀 How to Get Into LLMs: Step by Step

Large Language Models (LLMs) like ChatGPT, Claude, and Gemini are changing the way buyers discover and choose brands. To stand out in AI-generated answers, your brand needs to align with the right signals. Here's a clear, actionable roadmap: 1️⃣ Define the "decision" queries 🔎 Identify high-intent topics your buyers use when they're ready to purchase. Focus on queries where appearing inside an LLM response can directly influence a decision. 2️⃣ Rewrite titles and metas for clicks 📝 Test and optimize titles and meta descriptions to improve click-through rates (CTRs), especially on Bing, which powers several major LLM experiences. Higher CTRs paired with strong engagement signals reinforce content trust and authority. 3️⃣ Add high-quality, relevant backlinks 🔗 Secure authoritative, topically relevant links that reinforce entity trust and authority. Always prioritize quality over quantity. 4️⃣ Add/clean structured data for entity clarity 📊 Use schema markup to ensure search engines and LLMs map your content cleanly to your brand. Clear, unambiguous entities lead to better recognition and more consistent inclusion in AI-generated answers. 5️⃣ Tighten keyword targeting on landing pages 🎯 Align H1s, H2s, and body copy to your exact target terms. Avoid diluting focus with overly broad semantic variations. Keep your targeting sharp and explicit so LLMs can clearly associate your content with the right queries. 6️⃣ Increase on-page engagement to reinforce click signals ⚡ Front-load answers, minimize pogo-sticking, and strengthen above-the-fold relevance. Engaged visitors send strong positive signals that indicate your content genuinely satisfies user intent. 7️⃣ Monitor LLM and Bing visibility, iterate 📈 Track how your brand surfaces in Bing and LLM results. Refine titles, schema, and internal links based on visibility signals. Treat LLM visibility as an ongoing process, not a one-time setup. 8️⃣ Automate with Search Atlas 🤖 Use Search Atlas to scale: schema cleanup, bulk optimizations with OTTO, and LLM visibility monitoring. Content Genius helps align landing pages with the ranking signals that feed into AI-driven results. 💡 Why it matters Getting into LLM results isn't luck—it's strategy. By following these 8 steps, your brand increases its chances of appearing in AI-driven answers right when buyers are making decisions. In the age of AI-first discovery, getting your brand into LLMs is no longer optional—it's essential. By combining precise keyword targeting, structured data clarity, strong backlinks, and automated optimization with Search Atlas, you can secure your place in the conversations that matter most. These steps aren't just tactics; they're the roadmap to ensuring your brand is visible, trusted, and chosen in the evolving world of AI-driven search. 🚀 If you need further assistance, open the chat widget in the bottom-right corner of the platform and type human teammate to be connected with a member of our team.

🤖 Search Atlas AI: Capabilities, Fixes, and Project Setup

🧠 What Does Search Atlas AI Do? Search Atlas AI is a built-in intelligence layer that analyzes your website and SEO data to surface actionable insights. It works across multiple tools in the platform to help you identify opportunities, detect problems, and prioritize work — so you spend less time digging through data and more time acting on it. The AI capabilities available to you depend on which tools you have access to in your plan. For a full and up-to-date list of what Search Atlas AI does within your specific account, explore each tool section in the platform — AI-powered features are labeled within their respective tools. 🔧 What Does Search Atlas AI Fix Automatically vs. Manually? It is important to understand the distinction between what the AI detects and recommends versus what it applies automatically. Automatic actions (no input required): - Crawling and re-crawling your site to refresh health data on your set schedule. - Generating AI-written suggestions and recommendations inside the platform's tools. Manual actions (your input is required): - Implementing any fixes on your website. The AI flags issues and recommends actions, but you or your developer must make the actual change on your site. - Publishing or approving AI-generated content. The platform may draft copy, but nothing goes live without your confirmation. - Applying any strategy changes surfaced by the AI. Recommendations are presented for your review and are not pushed to your site automatically. Think of Search Atlas AI as your always-on SEO analyst: it identifies what needs attention and tells you exactly what to do, but the final action stays in your hands. 🚀 How to Create a Project in Search Atlas A project is the foundation of your work in Search Atlas. It connects your website to the platform's tools so the AI can begin analyzing your data. Follow these steps to create your first project: 1. Log in to your Search Atlas account. 2. Navigate to the Projects section from the main dashboard or left-hand navigation menu. 3. Select the option to create a new project. You will be prompted to enter your website's URL and give the project a name. 4. Complete the setup fields as prompted — this typically includes your domain, target location, and language settings. 5. Save the project. Once saved, Search Atlas will begin connecting your site's data to the platform's tools. If you are unsure which settings to choose during setup, you can update your project configuration later from the project settings area in the platform. If you need further assistance, open the chat widget in the bottom-right corner of the platform and type human teammate to be connected with a member of our team.

🌍 Wildfire Setup and LLM Multi-Country Visibility Guide

🔍 Overview This guide covers two closely related topics that customers frequently ask about together: how to initiate a Wildfire campaign and how LLM (Large Language Model) project country selection affects your visibility results. If you are targeting audiences across multiple regions, understanding both features is essential for accurate, comprehensive SEO coverage. 🚀 What Is Wildfire and How Do I Initiate It? Wildfire is Search Atlas's automated SEO execution engine, available through the OTTO SEO module. It pushes optimisations across your site at scale, helping you act on recommendations quickly and efficiently. To initiate Wildfire, please contact our support team with the name of the project or site you want to run Wildfire on, along with any relevant details about the optimisations you are looking to execute. A member of our team will assist you in getting Wildfire initiated for your account. 🌐 What Is LLM Regional Visibility? LLM Visibility tracks how your brand, content, and keywords appear in AI-generated responses from large language models. The country setting on your LLM project directly determines which regional results are measured and reported. In practical terms, this means that a project configured for one country will reflect visibility signals for that region only, and will not automatically represent performance in other countries. If your visibility results seem lower than expected, or if you are not seeing data for certain regions, the most common cause is that your project is configured for a single country while your audience spans multiple regions. ⚙️ How to Set Up Multi-Country LLM Coverage To monitor LLM visibility across multiple countries, you will need separate LLM projects configured for each target country. If you need assistance setting up multi-country LLM coverage for your account, please reach out to our team with your project name and the list of countries you want to target, and we will help you get this configured correctly. If you need further assistance, open the chat widget in the bottom-right corner of the platform and type human teammate to be connected with a member of our team.