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Documentation Index

Fetch the complete documentation index at: https://docs.cognerd.in/llms.txt

Use this file to discover all available pages before exploring further.

Your AI Visibility Score is a single number between 0 and 100 that measures how prominently your brand appears across AI search platforms. It combines mention frequency, citation rate, sentiment, platform coverage, and source quality into one benchmark you can track over time. A rising score means AI models are recommending your brand more often, citing your content more reliably, and representing you more positively — across more platforms.

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How the score is calculated

Your overall score is a weighted composite of five components. Each component contributes differently to the final number:

Mention frequency

How often your brand appears in AI-generated responses across all queried platforms. Higher frequency means AI models are more likely to surface your brand unprompted.

Citation rate

The proportion of AI responses that link back to or attribute content from your website. Citations signal that AI models treat your site as a credible source.

Sentiment

The overall tone of responses that mention your brand. Positive sentiment raises your score; negative sentiment lowers it, even if mention volume is high.

Platform coverage

The number of distinct AI platforms where your brand appears. Appearing on ChatGPT alone is weaker than appearing consistently across ChatGPT, Gemini, Claude, and Perplexity.

Source quality

The authority and relevance of the sources AI models cite when mentioning your brand. Citations from high-authority domains carry more weight than citations from low-authority pages.
CogNerd does not publish the exact weighting formula for each component, because the weights are tuned as AI platform behavior evolves. What matters most in practice is improving all five components together rather than optimizing one in isolation.

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Reading the score

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Overall score

Your overall score appears at the top of the Brand Monitor dashboard and updates each time you run an analysis. Use the following ranges as a general benchmark:
Score rangeWhat it typically means
0–20Your brand rarely appears in AI-generated answers. Little to no citation activity.
21–40Occasional mentions, mostly on one or two platforms. Inconsistent sentiment.
41–60Moderate presence across several platforms. Some citation activity. Sentiment mixed.
61–80Regular mentions on most major platforms. Strong citation rate. Mostly positive sentiment.
81–100Consistent, positive, multi-platform presence with high citation authority.
Focus on moving up one bracket at a time rather than chasing a perfect score. Moving from 20 to 40 typically requires publishing GEO files and structured content; moving from 60 to 80 requires building citation authority across multiple platforms.

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Platform breakdown

Below the overall score, the platform breakdown shows a sub-score for each AI platform CogNerd queries. These sub-scores let you see where you are strong and where you have gaps. A platform sub-score of 0 means your brand did not appear in any AI-generated responses on that platform during the last analysis. These zero-score platforms are your highest-priority targets for improvement.

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Daily trend chart

The trend chart plots your overall score day by day. Use it to:
  • Confirm that a GEO file deployment or new content pushed your score upward
  • Detect drops that coincide with negative press or competitor activity
  • Measure the lag between publishing optimizations and seeing results (typically 7–21 days)
The daily trend chart populates only after you have run at least two analyses. Run your first analysis to establish a baseline, then run subsequent analyses to start building the trend line.

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Improving your score

Each score component maps to a specific set of actions in CogNerd:
Publish content that answers the questions AI models are most commonly asked in your category. Use Content Studio to generate AI-optimized blog posts. The more your content matches the queries AI platforms receive, the more often AI models surface your brand.
Deploy GEO Assets — particularly llms.txt, site.jsonld, and organization.jsonld. These files give AI crawlers a structured, authoritative description of your brand, making it easier for AI models to cite your site as a primary source.
Review the negative mentions identified in Brand Monitor and trace them to their source. Common causes are outdated content, third-party reviews, or inaccurate AI training data. Publish clear, positive, authoritative content that gives AI models better signal to draw from.
If your score is high on ChatGPT but low on Gemini or Perplexity, your content may be optimized for one platform’s training data but not others. Use the AEO Report diagnostics to identify platform-specific gaps.
Earn citations from high-authority domains by publishing original research, getting press coverage, and ensuring your structured data (organization.jsonld, website.jsonld) is valid and complete. Run an AEO Report to check your schema validation status.

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Score history and exports

Every analysis result is stored in your account history. Access it via Dashboard → Brand Monitor → History. You can view the score recorded at each analysis date and compare component-level breakdowns between runs.
Track your score before and after deploying GEO Assets or publishing new Content Studio articles to measure the direct impact of those actions. Allow at least one to two weeks between the action and the follow-up analysis for AI platforms to reflect the changes.