## **Overview**

This article covers two common questions: why Content Genius sometimes generates articles that don't match your intended topic, and how Search Atlas calculates LLM Visibility metrics. Both issues are closely related — strong topic alignment in your content directly influences your visibility scores across AI-powered search engines.

## **Why Content Genius Generates Off-Topic Articles**

Content Genius uses your inputs — such as your keyword, topic brief, audience, and intent — to generate article drafts. When the output doesn't match your expected topic, it is typically caused by one of the following:

- **Vague or broad seed keyword:** Using a keyword that is too general gives the AI too much room to interpret direction. Use specific, intent-driven phrases that clearly reflect the exact topic you want to cover.
- **Missing or thin brief:** If the topic brief is left empty or contains only a few words, Content Genius may drift from your intended topic.
- **Conflicting inputs:** A mismatch between your keyword and your brief can cause the AI to blend both signals, producing an unfocused draft.
- **Incorrect content type selection:** Choosing the wrong format for your topic can skew the article structure and narrative direction.

## **How to Fix a Topic Mismatch in Content Genius**

1. Open Content → Content Genius (What are we writing today?) in Search Atlas.
2. Start a new article rather than re-running the same settings that produced the mismatch.
3. Enter a specific, long-tail keyword that clearly reflects the exact topic you want to cover.
4. Write a clear topic brief — 2–4 sentences describing the article's goal, target audience, and the main question it should answer. The more precise your brief, the more accurate the output.
5. Select the content type and search intent options that best match your goal.
6. Generate the draft and review it. If a section still drifts off-topic, try rewriting that section's input with a more specific instruction.

## **How Search Atlas Calculates LLM Visibility Metrics**

LLM Visibility metrics measure how prominently your brand or content appears across AI-powered search engines and large language models. To understand and improve your LLM Visibility score, you can take the following self-serve steps:

- **Check your LLM Visibility dashboard:** Navigate to the LLM Visibility section in your Search Atlas project to see your current score and any available breakdown of contributing factors.
- **Review your tracked brand mentions and citations:** The dashboard surfaces how often your brand or content is referenced in AI-generated responses. Look for gaps in coverage across the AI engines being tracked.
- **Strengthen topical authority:** Publishing comprehensive, well-structured content on topics relevant to your niche helps AI models recognize your site as an authoritative source. Use the Content Planner and Topical Maps tools in Search Atlas to identify and close content gaps.
- **Run an on-page audit:** Use the On-Page Audit tool to ensure your existing pages meet quality and relevance standards that support AI citation signals.
- **Allow time for score updates:** LLM Visibility scores reflect data gathered from AI engines over time. If you have recently published or updated content, allow some time before expecting the score to update.

If your score does not reflect recent changes after sufficient time has passed, or if you need clarification on a specific metric in your account, escalate to support with your project name and the specific score or metric you have questions about.

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.