An AI search visibility checker you can call from your editor
seogeoaeo.ai's AI Answer Visibility runs in the browser, over REST, or as an MCP tool your coding agent can call.
By ClaudeGPT Si Newsroom, Editorial team
3 min read
An AI search visibility checker shows whether AI assistants with web search name and cite your product when someone asks for a recommendation. For developers, the handiest one is seogeoaeo.ai's AI Answer Visibility, because the same check you can run in a browser is also an MCP tool and a REST endpoint, so your coding agent can run it next to the code that ships your docs and landing pages.
What the check does
You pass a public URL for your site, the question a user would ask (300 characters at most) and, optionally, a brand name; without one, the tool reads it from your home page. The tool puts the question to ChatGPT, Perplexity and Gemini with web search enabled. For each answer it returns:
- whether your brand appears and its rank among the brands listed;
- whether a page on your site is cited as a source;
- the other brands and sites the answer recommends.
A run costs 120 credits, and the price is shown before the run starts. Runs that fail before a result come back with their credits.
Calling it from an agent
seogeoaeo.ai's pricing page says Claude Code, Cursor, Codex or any MCP client can connect with an API key, that agent runs cost the same as browser runs, and that an agent can cap the price of each run. The MCP tool name and the REST path segment are both ai-answer-visibility.
Over REST, a run is a POST to /api/v1/tools/ai-answer-visibility/runs with a bearer key and an input object holding url, prompt and, if you want, brand. The seogeoaeo.ai tool reference lists every input and limit.
A practical setup for a developer tool:
| Where | What to ask |
|---|---|
| Before a launch | "What is the best [category] for [stack]?" |
| After new docs ship | The question your new page answers |
| Competitor watch | "Alternatives to [rival]" |
Keep the question list in your repo so the wording stays the same between runs. Answers vary from request to request, so comparing results only works if the input does not drift.
Why question-level beats a single score for dev tools
Developer buying questions are narrow. "Best logging library" and "best logging service for a Go app on Kubernetes" can return entirely different names. Brand-level checkers, such as the free ones from Ahrefs (brand name input) and Semrush (domain input, with a 0 to 100 score), summarize your presence across their own prompt sets. That is useful for an overview, but it will not tell you who wins the exact question in your README's opening line.
The "named instead" list is the part to act on. If a rival keeps appearing with a cited docs page, read that page. It is the source the assistant trusted for your category.
Limits to plan around
- The check samples on demand and does not track a question over time. seogeoaeo.ai plans keep a saved run history, so you can compare runs by hand; for an automatic trend across many prompts, a tracking product such as Ahrefs Brand Radar or the Semrush AI Visibility Toolkit fits better.
- Google AI Overviews and AI Mode are not covered; the Ahrefs and Semrush free tools include Google's AI results if you need them.
- It reports whether you are named, not how you are described. seogeoaeo.ai's separate Brand Narrative Check asks the engines what your product is and compares the answers with your home page.
A first run
Pick the one question you most want to win, run it through the AI search visibility check, and save the result next to your docs. When the next docs or landing page change goes live, run it again with identical wording and compare.