AI Visibility & Generative Engine Optimization (GEO)
Check whether AI assistants mention your brand, recommend it and link to your site.
Check history
Scroll the table to the right to see all columns.
| Project | Date | Status | Checks | Charged | Action |
|---|
Check whether AI answers mention or recommend your brand and cite your website. Enter the brand, aliases, domains and queries.
Sources include Yandex AI, Google AI Overviews, Google AI Mode, and DeepSeek, GPT, Claude, Gemini and Qwen. Standalone models operate without live web search; citation metrics do not apply to them.
Choose one to five answers per query and source. Cost updates as you type, using site limits. Saved reports include answers, evidence, sources and CSV. Errors and incomplete answers are separate from brand absence.
Frequently asked questions
What is GEO and how does AI visibility tracking differ from traditional rank tracking?
Generative Engine Optimization (GEO) focuses on how AI synthesizes answers to user queries. Instead of measuring SERP positions, this tool evaluates the generated response itself: whether your brand is mentioned, whether it is featured as a recommendation, and whether the AI cites links to your domain.
Which AI search engines and models are analyzed?
The tool analyzes 8 sources: search engines with AI (Yandex AI Search, Google AI Overviews, Google AI Mode) and 5 foundation models (DeepSeek, GPT, Claude, Gemini, Qwen).
How are mentions, recommendations, and citations identified?
Each synthesized answer is automatically evaluated: Mention — brand name or aliases appear in the response; Recommendation — brand is highlighted as a recommended choice or featured in a recommended list; Source citations — the AI includes direct links to your domain among verified sources.
What is the difference between search AI and standalone models?
Search AIs (Yandex AI, Google AI Overviews, Google AI Mode) search the live web in real time and cite source links. Standalone models (DeepSeek, GPT, Claude, Gemini, Qwen) generate answers from pre-trained parameters, measuring intrinsic brand knowledge without web citation links.
How can these findings help improve AI visibility?
The report highlights queries where competitors are recommended over your brand and reveals gaps in citations. You can use these insights to optimize content structure, implement Schema.org structured data, and strengthen brand references on authoritative websites.
AI visibility report
Scroll the table to the right to see all sources.
| Phrase |
|---|
| Loading… |
How the metrics are calculated
Mentions and recommendations: share of answers with completed analysis. Unfinished or ambiguous analysis is not counted as the brand being absent.
Links to the site: share of search AI answers with a confirmed complete source list. Not measured for models without web search.
Answers received: how many AI answers arrived in full, without errors or cut-offs, out of all planned checks. Errors, cut-offs and missing AI blocks are shown separately. A recommendation rank is shown only for an ordered list.