Know where your brand
stands in AI search
Mention tracks how ChatGPT, Claude, and AI Overviews respond to queries in your industry and whether your brand is part of the answer.
ChatGPT
Claude
AI Overviews
Features
Everything you need to monitor your AI visibility
Real-time AI monitoring
See exactly how the major AI models mention your brand today, not last month. Mention queries ChatGPT, Claude, and AI Overviews continuously so you always have current data.
Competitor benchmarking
Track your share of voice against competitors across all AI platforms. Find out who AI models recommend in your category and what it takes to get there.
Visibility trends over time
Spot patterns in how AI models cover your brand. See whether your visibility is growing, dropping, or holding steady. Connect changes to your content and PR activity.
Query-level insights
Go beyond brand mentions. Understand which specific questions and topics trigger AI responses where your competitors appear but you don't.
Automated reporting
Get regular snapshots of your AI visibility sent directly to your inbox. No manual checks, no guesswork.
Multi-model coverage
One dashboard for all major AI platforms. ChatGPT, Claude and AI Overviews, all in one place.
How it works
Up and running in minutes
1
Add your brand
Enter your brand name, key competitors, and the topics you want to track.
2
We query the AI models
Mention automatically sends relevant prompts to ChatGPT, Claude, and AI Overviews and logs every response.
3
See your results
Your dashboard shows who gets mentioned, how often, and in what context. Updated continuously.
FAQ
Common questions
What is AI visibility?
AI visibility is how often and how prominently your brand appears in responses from AI models like ChatGPT, Claude, and AI Overviews. When someone asks an AI assistant for product recommendations, tool comparisons, or category advice, the brands that get mentioned have AI visibility. The ones that don't, don't.
This is a relatively new concept, but it's gaining ground fast. As AI assistants become a default starting point for research and buying decisions, visibility in their responses is becoming as commercially relevant as a first-page Google ranking was a decade ago. Brands that start measuring it now have a meaningful head start.
This is a relatively new concept, but it's gaining ground fast. As AI assistants become a default starting point for research and buying decisions, visibility in their responses is becoming as commercially relevant as a first-page Google ranking was a decade ago. Brands that start measuring it now have a meaningful head start.
Why should I track my AI brand visibility?
Because AI search is already influencing purchase decisions. Users ask ChatGPT which tools to use, ask Claude for recommendations, and ask AI Overviews for answers, without ever opening Google. If your brand isn't part of those answers, you're invisible to a growing share of your potential customers.
Tracking also tells you what you can actually act on. Knowing that a competitor appears in 60% of AI responses for your core category, while you appear in 10%, gives you a concrete problem to solve. Without measurement, you have no baseline and no way to know whether your content and PR efforts are moving the needle.
Tracking also tells you what you can actually act on. Knowing that a competitor appears in 60% of AI responses for your core category, while you appear in 10%, gives you a concrete problem to solve. Without measurement, you have no baseline and no way to know whether your content and PR efforts are moving the needle.
How do I track AI visibility?
Mention does it automatically. You add your brand and competitors, and we query the major AI models with relevant prompts on an ongoing basis. Your dashboard shows who gets mentioned, in what context, and how that changes over time.
Manual tracking, where someone runs prompts by hand and logs results in a spreadsheet, works at very small scale but quickly becomes unmanageable. AI models update their responses frequently, new prompts emerge, and competitive positions shift week to week. An automated tool captures that continuously, so you always have a current and comparable picture rather than a snapshot that's already stale by the time you look at it.
Manual tracking, where someone runs prompts by hand and logs results in a spreadsheet, works at very small scale but quickly becomes unmanageable. AI models update their responses frequently, new prompts emerge, and competitive positions shift week to week. An automated tool captures that continuously, so you always have a current and comparable picture rather than a snapshot that's already stale by the time you look at it.
Which AI models does Mention track?
ChatGPT (OpenAI), Claude (Anthropic), and AI Overviews (Google). We expand coverage as new models gain meaningful user bases.
Coverage across multiple models matters because each one behaves differently. A brand that appears consistently in ChatGPT responses may be largely absent from Claude or AI Overviews, and understanding that split is often where the most actionable insight sits.
Coverage across multiple models matters because each one behaves differently. A brand that appears consistently in ChatGPT responses may be largely absent from Claude or AI Overviews, and understanding that split is often where the most actionable insight sits.
How do I improve my visibility in AI search results?
Be a well-documented, credible entity on the web. AI models draw on training data and live sources, so strong coverage in authoritative publications, clear entity signals (structured data, Wikipedia, consistent brand mentions), and content that directly answers questions in your category all contribute. Mention shows you the specific queries where competitors get mentioned and you don't, which is usually the most useful place to start.
The work runs across a few parallel tracks: entity authority (making sure your brand is clearly represented across structured data and trusted third-party sources), content that matches what people actually ask AI assistants, and earned media in publications that AI models treat as credible. None of it works overnight, but it compounds in much the same way traditional SEO does.
The work runs across a few parallel tracks: entity authority (making sure your brand is clearly represented across structured data and trusted third-party sources), content that matches what people actually ask AI assistants, and earned media in publications that AI models treat as credible. None of it works overnight, but it compounds in much the same way traditional SEO does.
What is an AI visibility score?
A single number that summarizes how frequently and consistently your brand appears across AI model responses for a defined set of queries. Mention calculates it based on mention frequency, sentiment, and positioning across all tracked models.
It's most useful in context. Against competitors it tells you where you stand. Tracked over time it tells you whether your work is having any effect. Broken down by model it shows you where you're strong and where you have a gap. The score is the summary; the value is in the detail behind it.
It's most useful in context. Against competitors it tells you where you stand. Tracked over time it tells you whether your work is having any effect. Broken down by model it shows you where you're strong and where you have a gap. The score is the summary; the value is in the detail behind it.
How is AI visibility different from SEO?
SEO measures your rankings in Google. AI visibility measures whether AI models include your brand in their responses when users ask questions in your category. They overlap but they're not the same thing, and a brand can rank well in Google while being nearly absent from AI-generated answers.
The mechanics are different too. Google rankings respond to backlinks, page speed, and on-page signals. AI model responses are shaped by training data, source credibility, and how clearly a brand is established as an entity across the web. Some of the underlying work overlaps, particularly around content quality and authority, but they need to be tracked and optimized separately.
The mechanics are different too. Google rankings respond to backlinks, page speed, and on-page signals. AI model responses are shaped by training data, source credibility, and how clearly a brand is established as an entity across the web. Some of the underlying work overlaps, particularly around content quality and authority, but they need to be tracked and optimized separately.
What is AI visibility optimization (AEO/GEO)?
It goes by a few names, AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization), but the goal is the same: making your brand more likely to appear in AI-generated responses. It involves entity-building, content strategy, and earned mentions in sources AI models treat as authoritative.
Like any optimization discipline, it requires a feedback loop. You make changes, measure the effect, and adjust. Without reliable tracking data, you're working blind. Mention closes that loop.
Like any optimization discipline, it requires a feedback loop. You make changes, measure the effect, and adjust. Without reliable tracking data, you're working blind. Mention closes that loop.
How do I get access to Mention?
Mention is currently invite-only. Apply using the link below and we'll review your request within a few business days.
We keep onboarding selective to make sure every new user gets proper setup support and sees value quickly. If you're actively working on AI visibility for your brand or clients, that's exactly who Mention is built for.
We keep onboarding selective to make sure every new user gets proper setup support and sees value quickly. If you're actively working on AI visibility for your brand or clients, that's exactly who Mention is built for.
Get started
Find out where AI ranks your brand
Most brands have no idea whether AI models recommend them, ignore them, or recommend a competitor instead. Mention gives you that answer.