Know where you stand in AI search
Understand your true AI search visibility using real crawl and log data. Identify what LLMs see, what they ignore and where to act first.
How AI search visibility is measured today
With AI search, teams don’t just struggle to know if they are visible, they struggle to understand what is really happening and what to do next.
Most AI search tools are based on lab data and prompt tracking. They analyze AI answers for a predefined set of prompts, which can be useful for benchmarking, but does not reflect how AI actually uses a website across its content and at scale.
The AI Search Lens takes a different approach
Using real crawl and log data, AI Search Lens helps teams move from assumptions to decisions by enabling them to:
- Measure AI search visibility at scale, in terms of the volume of citations.
- Understand which parts of their website are used or ignored by LLMs.
- Identify what impacts AI search visibility.
- Pinpoint where to act first to improve their AI visibility.
The AI Search Lens turns AI search from a visibility challenge into a clear framework for analysis and action..
What the AI Search Lens helps you understand and act on
AI visibility
Monitor your AI search visibility performance over time, using real AI usage data. Select the time period and LLM chatbot to track:
- Volume of citations*
- Volume of pages crawled for citations
- Volume of clicks
- Volume of pages clicked
*Citations are bot visits from AI user bots like ChatGPT, Perplexity, Claude, or Mistral AI, and Gemini’s deep research bot, filtered on status code 200 and 304.
Coverage
Identify what parts of your website are visible in AI search.
Three-Step AI Search Funnel:
- Indexation: Identifies the volume of pages from your website crawled for indexation or citation by AI search bots. This helps you pinpoint content completely ignored by AI search.
- Citation: Excludes pages crawled for indexation only, focusing solely on pages crawled for citation.
- Traffic: Shows which pages drive clicks and which don’t, so you can identify underperformers.
Visibility impact
Understand why some content is more visible in AI search than others.
This report focuses on AI user bots and cross-references their activity with your crawl metrics. Compare and identify correlations with metrics like depth, load time, word count, title size, structured data or any custom metrics from your crawl.
Opportunities
Identify where to act first to focus your efforts where they matter most.
Spot quick wins based on real data. For example, citation missed opportunities highlights pages crawled for citation by AI user bots that have no chance of converting due to status code errors (400, 500), missing content, or thin content (less than 150 or 300 words).
