AI Visibility Checker
Get mentioned by AI assistants
MentionAgent gets your brand named on the blogs and list articles your buyers read, and that AI assistants cite when they search. Automated outreach, real editorial coverage.
Start Getting Mentioned On AutopilotHow this tool works
AI assistants answer from what their models were trained on and, often, from a web search they run for the question. Model makers do not publish exactly what their models were trained on, so no tool can measure your place in that data directly. This tool checks four public signals instead:
- Wikipedia: whether a Wikipedia page title among the top five search results contains your brand name. Wikipedia is one of the few training sources with a published weight: in OpenAI's GPT-3 paper (2020) it was 3% of the training mix and was repeated 3.4 times, more than any other dataset. Newer models do not publish their mix.
- Domain PageRank: your domain's Open PageRank score, a rough measure of how much of the web links to you.
- Hacker News: how many Hacker News stories match your brand name.
- GitHub: how many GitHub repositories match your brand name.
These are inputs, not results. We have not measured how strongly each one predicts being named by a given assistant, and a common-word brand name can match pages and repositories that have nothing to do with you. To see what an assistant actually says, ask it, as described in how to check if ChatGPT mentions your brand.
For per-engine deep-dives, see the GEO playbooks for ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Meta AI, DeepSeek, ChatGPT Search, and Google AI Overviews.
What scores mean
| Score | Signals | What it means |
|---|---|---|
| 80–100 | High | Present on most of the four signals |
| 60–79 | Good | Present on several of the signals |
| 40–59 | Moderate | Present on some of the signals |
| 20–39 | Low | Present on few of the signals |
| 0–19 | Minimal | Little or no presence on the four signals |
Is this a ChatGPT visibility checker?
No, not in the usual sense. Most tools that call themselves a ChatGPT visibility checker, an LLM visibility checker or a GEO score checker do one of two things. Either they send prompts to a model and report whether your brand came back in the answer, or they look at public signals around your brand. This free tool does the second. It never sends a prompt to ChatGPT, Gemini or Claude, so it cannot tell you what an answer said.
What it can tell you is whether a few public signals are there: a Wikipedia page, Hacker News discussion, GitHub activity and links to your domain. If you want the prompt-level view, the AI visibility scan in the paid MentionAgent dashboard asks a panel of about 15 buyer questions to ChatGPT, Gemini and Claude twice a month and records whether you were named and which sources were cited. We do not run those model calls anonymously because each one costs money.
The score on this page is not a page-level GEO grade. It is a brand-level signal score: the four checks, weighted (Wikipedia 30, PageRank 25, Hacker News 25, GitHub 20) and normalised to 100. Two brands with the same score can be named at very different rates, because these four signals are only part of what an assistant draws on.
How to improve your AI visibility
- Get featured on publications in your niche: articles that name you are pages a search can find and public text a future model may learn from
- Build Wikipedia notability through press coverage, awards, and measurable community impact
- Engage with developer and tech communities: Hacker News, Reddit, Stack Overflow. Track keyword mentions across these communities with the tools in our Reddit monitoring tools roundup so you can join conversations where your product is already being discussed
- Grow domain authority through quality backlinks from relevant sites
- Create detailed comparison and documentation pages that AI can reference when recommending tools
- Combine AI visibility with outbound: pair these efforts with proven B2B lead generation strategies for maximum pipeline impact. Outreach tools like NinjaOutreach and Postaga can help scale your PR and blogger outreach (see our NinjaOutreach vs Postaga comparison)
Frequently asked questions
How do AI assistants decide what products to mention?
Two ways. From their training data, which model makers describe in general terms (OpenAI says publicly available and licensed data) without publishing the mix, and from web searches many assistants run for a question, citing the pages they read. A brand named on more of those pages has more chances to be named.
Can I influence whether AI mentions my product?
Yes, indirectly. You can get your brand named on the pages assistants find when they search, such as list articles, reviews and comparisons in your category, and allow their search crawlers to reach your site. This is sometimes called "generative engine optimization" (GEO).
Why does Wikipedia presence matter for AI visibility?
It is one of the few sources with a published training weight: in OpenAI's GPT-3 paper (2020), Wikipedia was 3% of the training mix and was repeated 3.4 times during training, more than any other dataset. Newer models do not publish their mix. Most small brands do not qualify for their own article, and that is normal.
What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of optimizing your brand's online presence to increase visibility in AI-generated responses. In practice it means getting your brand named on the pages AI assistants find and cite, and on the public web their models learn from. The full 2026 GEO playbook walks through engines, signals, and tactics in depth.
Is this tool actually free?
Yes. No signup and no credit card. It calls public APIs (Wikipedia, Hacker News, GitHub and Open PageRank), so a GitHub rate limit can occasionally stop one check.
How accurate is this check?
It is a check of four public signals, not a measurement of AI answers. Each check is literal: a Wikipedia title match, an Open PageRank score, a count of matching Hacker News stories and of matching GitHub repositories. Common-word brand names can match unrelated pages. We have not measured how well the score predicts being named by an assistant.
Does running this check influence AI assistants?
No. The tool reads four public signals about your brand and domain. It does not contact ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Meta AI or DeepSeek, and using it does not change how any of them see your brand.
Which AI assistants does this cover?
None directly. It checks signals about your brand rather than asking any assistant. For engine-specific guides, see the per-engine playbooks below; to check an assistant's answers, ask it your buyers' questions yourself.
Is this a ChatGPT visibility checker?
No. It does not send prompts to ChatGPT, so it cannot show what ChatGPT says about you. It checks four public signals about your brand. Prompt-level ChatGPT tracking is part of the paid MentionAgent AI visibility scan.
Is the result a GEO score?
No. GEO score checkers grade one URL for structure and answer-shaped content. This tool scores the brand on four public signals: Wikipedia, domain PageRank, Hacker News stories and GitHub repositories, weighted and normalised to 100.
What should I do if my brand has low AI visibility?
Three moves: get named in the list and review articles that assistants cite for your category, take part in the communities where your buyers discuss tools, and earn editorial mentions on niche blogs your buyers read. The full GEO guide covers the tactics engine by engine.