AI Mention Checker
Get mentioned by AI assistants
MentionAgent builds the authority signals that make AI models recommend your product. Automated outreach, real editorial coverage.
Start Getting Mentioned On AutopilotHow this tool works
ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Meta AI, and DeepSeek all learn about products from public data: training corpora plus live retrieval. This tool checks four real signals that correlate with both:
- Wikipedia presence: one of the largest sources in every major LLM's training data
- Domain authority: high-authority sites appear more frequently in training data and rank higher in retrieval
- Hacker News discussions: heavily weighted in Claude and DeepSeek training corpora
- GitHub presence: over-indexed in DeepSeek, important for technical mentions across all engines
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 | Visibility | What it means |
|---|---|---|
| 80–100 | High | AI models very likely know your product and can recommend it accurately |
| 60–79 | Good | AI models probably mention you for relevant queries |
| 40–59 | Moderate | AI models may know about you but rarely recommend you |
| 20–39 | Low | AI models unlikely to mention your product |
| 0–19 | Minimal | Almost no AI training data signals detected |
Is this a ChatGPT visibility checker?
Partly. 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 a handful of prompts to a model and report whether your brand came back in the answer, or they read the public signals the models are trained and grounded on. This free AI visibility checker does the second. It never sends a prompt to ChatGPT, Gemini or Claude, so it cannot tell you what a specific answer said this morning, and it does not pretend to.
What it can tell you is whether the inputs are there. A brand with no Wikipedia article, no Hacker News threads, no GitHub footprint and a low-authority domain is absent from the corpora every assistant learns from, and no amount of prompt-testing changes that. Use this page to find the gap, and use the per-engine playbooks below to close it. If you want the prompt-level view, with your brand tested against a fixed prompt set every week across ChatGPT, Claude, Gemini and Perplexity, that is the AI visibility scan inside the paid MentionAgent dashboard, because each scan costs real model calls and we do not run those anonymously.
The score on this page is not a GEO score in the sense of a page-level content grade. It is a brand-level training-data score: four public signals, weighted, normalised to 100. Two brands with the same score can still be mentioned at very different rates, because the models also weigh recency, category and how often other sites describe you.
How to improve your AI visibility
- Get featured on authoritative publications in your niche, editorial mentions are high-signal training data
- 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?
AI models learn about products from their training data, which includes Wikipedia, authoritative publications, community forums, documentation, and the broader web. Products with more presence in these sources are more likely to be recommended.
Can I influence whether AI mentions my product?
Yes. Building presence on the authoritative platforms AI models are trained on (Wikipedia, major publications, Hacker News, Stack Overflow, and high-authority blogs) increases the likelihood of AI mentions. This is sometimes called "generative engine optimization" (GEO).
Why does Wikipedia presence matter for AI visibility?
Wikipedia is one of the largest and most commonly used sources in AI training datasets. A well-maintained Wikipedia article significantly increases the chance that AI models know about your product and can accurately describe it.
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. It involves building authority signals across platforms AI models use as training data. The full 2026 GEO playbook walks through engines, signals, and tactics in depth.
Is this tool actually free?
Yes. No signup, no credit card, no usage limits. The AI Mention Checker is a free utility we built so operators can audit their AI visibility before deciding whether they need a paid stack.
How accurate is this check?
It analyzes signals AI assistants pull from (Wikipedia presence, Reddit and Stack Overflow mentions, established blog citations, domain authority). It's a directional snapshot, not a guarantee. Real AI answers vary by query, model version, and whether the model is browsing live.
Does running this check influence AI assistants?
No. The tool reads public signals about your domain. It doesn't talk to ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Meta AI, or DeepSeek directly, and using it doesn't change how those models see your brand. AI visibility is influenced by the underlying sources (Wikipedia, Reddit, blog citations, GitHub, X conversations), not by audit tools.
Which AI assistants does this cover?
The signals this tool checks correlate with visibility across every major LLM: ChatGPT (and ChatGPT Search), Claude, Gemini, Perplexity, Microsoft Copilot, Grok, Meta AI, DeepSeek, and Google AI Overviews. Each engine weighs sources differently, the per-engine playbooks linked above walk through which specific signals matter most for each one.
Is this a ChatGPT visibility checker?
It is a free AI visibility checker that covers ChatGPT among eight assistants. It reads the public signals ChatGPT is trained and grounded on rather than sending prompts to ChatGPT, so it shows whether your brand has the inputs to be mentioned, not the wording of a specific answer. Prompt-level ChatGPT visibility tracking is part of the paid MentionAgent scan.
Is the result a GEO score?
It is a brand-level AI visibility score, not a page-level GEO score. GEO score checkers grade one URL for structure, citations and answer-shaped content. This tool grades the brand: Wikipedia presence, domain authority, Hacker News discussion and GitHub footprint, weighted and normalised to 100.
What should I do if my brand has low AI visibility?
Three moves: get cited in the top-ranking listicles for your category, earn organic Reddit mentions in relevant subreddits, and build editorial citations on niche blogs your buyers read. The full 2026 GEO playbook walks through the engines and tactics in depth.