See how often ChatGPT, Perplexity, and Gemini cite your brand
A growing share of buyers research inside AI chat interfaces before they ever visit your site. Find out whether you're the brand these systems recommend — or invisible entirely.
| Cited | Position | |
|---|---|---|
| "best AI marketing platform" | ✓ | 2nd mentioned |
| "how to build a marketing strategy" | ✓ | 1st mentioned |
| "AI growth blueprint tool" | — | — |
You're cited consistently for strategy-related queries but absent for tool-comparison queries — competitors with dedicated comparison pages are winning that category.
Why this tool exists
Traditional rank trackers show where you stand in Google — they say nothing about whether ChatGPT, Perplexity, or Gemini mention your brand when someone asks a question in your category. That's now a real, separate visibility gap most businesses can't see.
Google Search Console and rank trackers weren't built to observe generative AI answers, and none of the major AI platforms expose citation analytics of their own — so most teams are optimizing for AI search visibility completely blind, without any way to measure it.
This tool runs your category's actual buyer questions through major AI engines on a recurring basis and logs whether, how, and in what position your brand is mentioned — turning an invisible gap into a trackable, competitive metric.
- A clear view of your current AI citation rate by engine
- Visibility into which specific queries you're missing on
- A benchmark against named competitors in the same category
- A prioritized list of fixes based on why you're being missed
Who it's for
Built for anyone whose buyers now research inside AI chat before visiting a website.
Need to prove AI search is a real channel worth budget.
Need to extend rank tracking into generative engines.
Need a competitive read on AI share of voice for board reporting.
Need a way to show clients measurable AEO/GEO progress.
Need visibility for comparison and category-defining queries.
Need to know which content gaps are costing AI citations.
Need to catch inaccurate or absent brand representation early.
Need an emerging channel metric before competitors track it too.
How it works
From your category's key questions to a scored, trackable citation report.
Tell it your brand, category, and key competitors
A benchmark set of real buyer questions is generated
Each query runs across major AI search engines
Mentions, position, and sentiment are recorded
A scored visibility report with fixes is produced
Tell it your brand, category, and key competitors
A benchmark set of real buyer questions is generated
Each query runs across major AI search engines
Mentions, position, and sentiment are recorded
A scored visibility report with fixes is produced
Features
Purpose-built for a metric no standard analytics tool tracks.
Multi-engine tracking
Checks ChatGPT, Perplexity, Gemini, and Copilot in one pass.
Competitor benchmarking
See your share of voice against named competitors.
Citation position tracking
Know whether you're mentioned first or buried in the answer.
Recurring checks
Re-run automatically since AI answers shift as models update.
Visual reporting
A clear dashboard instead of raw query transcripts.
Gap diagnosis
Understand why you're missing, not just that you are.
Exportable reports
Share results with clients or leadership as a clean report.
Alerts on change
Get notified when citation status shifts meaningfully.
What you'll get
A complete picture of your AI search presence, not a single vague score.
The share of tracked queries where you're mentioned at all.
Citation rate split by ChatGPT, Perplexity, Gemini, and Copilot.
Your share of voice against named competitors in the same queries.
Exactly which questions you're cited for and which you're missing.
Likely reasons for absence: crawlability, factual density, or coverage.
Whether your visibility is improving or declining since the last check.
See it in action
PreviewA preview of the kind of visibility report the tool generates — your results will reflect your actual brand and category.
| Cited | Position | |
|---|---|---|
| "best AI marketing platform" | ✓ | 2nd mentioned |
| "how to build a marketing strategy" | ✓ | 1st mentioned |
| "AI growth blueprint tool" | — | — |
You're cited consistently for strategy-related queries but absent for tool-comparison queries — competitors with dedicated comparison pages are winning that category.
Key benefits
Measure a channel most competitors aren't tracking yet.
Find out if AI systems are describing your brand inaccurately.
Know exactly which gap is costing you citations.
See exactly where you stand in your category's AI answers.
Prove whether your GEO work is actually working.
Bring real data to a leadership conversation about AI search.
Use cases
The same visibility check, applied across different needs.
No idea whether AI search even matters yet for their category.
Runs a first benchmark check to establish a baseline citation rate.
A data-backed decision on whether to invest in AEO/GEO work now.
Ranks well in Google but suspects it's invisible in AI comparison answers.
Tracks comparison-intent queries specifically across major engines.
Confirms the gap and identifies the specific content fix needed.
Needs to prove GEO work is delivering results to a client.
Provides a recurring, exportable report showing citation trend over time.
Clear, defensible evidence of progress in client reporting.
Needs to monitor brand representation across AI systems at scale.
Tracks a large query set across multiple brand and product lines.
Early warning on both visibility gaps and misrepresentation.
Wants to know if products are recommended in AI shopping-related answers.
Tracks product and category-comparison queries specifically.
A clear read on AI-driven discovery, a fast-growing category.
The AI behind the tool
The checker runs a curated set of real buyer questions through major AI engines and analyzes each response for brand mentions, citation position, and sentiment — the same way you'd manually test queries in ChatGPT, but systematized and repeatable.
Recommendations are generated by pattern-matching absence against known GEO factors — crawlability, factual density, third-party representation — rather than guessing, so the diagnosis points at a specific, fixable cause.
Because AI answers shift as models and retrieval indexes update, checks are designed to re-run on a recurring cadence rather than being treated as a one-time snapshot.
AI engine responses to real buyer queries in your category.
By matching absence patterns to known, fixable GEO factors.
Your query set and competitor benchmark are specific to your category.
Frequently asked questions
Related resources
Go deeper on the frameworks behind AI search visibility.
Ready to see your AI search visibility?
Be first to know when the AI Visibility Checker launches — and start closing the gap today with the SEO & AI Search guide.