AI Mention Checker
Get mentioned by ChatGPT, Claude, Gemini, and the rest
MentionAgent builds the editorial citations and authority signals every major LLM trains on and retrieves. Automated outreach, real coverage. $99/mo flat.
Start FreeHow 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 |
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.
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.