AI Brand Visibility Tracker for
ChatGPT, Perplexity, Gemini and Copilot
Brand visibility tracking is the ongoing measurement of how AI answer engines mention, cite and recommend your brand. In 2026, buyers ask ChatGPT, Perplexity, Gemini and Copilot the questions they used to type into Google, and the answer they read names a shortlist of brands before anyone reaches a website. An AI brand visibility tracker tells you whether your brand is on that shortlist, which sources put it there, how you are described, and how the picture changes over time.
Asva runs a prompt set you control across ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, Grok and Meta AI on a schedule you set, stores every raw answer, and scores mention rate, citation share, sentiment and share of voice per engine. That is the mechanism in one sentence: a fixed set of questions, real engines, a repeating cadence, and the stored answers behind every number — so a movement on the chart reflects a change in the world, not a change in the method.
The gap this closes is specific. Across 1,796 non-branded answers in our own category on 16 September 2026, Asva was cited as a source 142 times and recommended as a vendor zero times, at 0% share of voice (source: Asva AEO MCP, 16 September 2026). Being crawled is not the same as being chosen, and a tracker tells the two apart.
Visibility Trends
Visibility Score
Measure how often you appear in AI answers with visibility score and share of voice metrics.
Competitor Ranking
Brand Industry Ranking
Compare your presence against industry leaders and competitors.
Sentiment Analysis
Sentiment & Keyword Insights
Analyze how AI describes your brand. Identify key themes, topics, and recurring narratives.
Citation Authority
Citation Authority
See which websites influence AI-generated answers about your brand and track their authority.
Platform Comparisons
Uncover differences in visibility, accuracy, and representation across all the major AI engines.
See How Often Your Brand Appears
Monitor your brand mentions across all major AI platforms in real-time.
Analyze AI Responses
Understand what AI is saying about your brand and related topics.
Uncover Citations
Find out which websites drive AI answers about you and your industry.
Take Action
Improve your ranking and increase exposure with actionable insights.
What a Brand Visibility Tracker Measures
A brand visibility tracker turns each stored answer into four core numbers, plus position and trend.
Mention rate
The share of tracked prompts where an engine names your brand, per engine and in aggregate. It is the first number to move and the easiest to explain: if you are not in the answer, nothing downstream matters.
Citation share
Of the sources an engine links or quotes in a tracked answer, how many are yours. It separates "the model knows us" from "the model is reading a page that says so", which is the part you can act on.
Sentiment
How an engine frames you when it mentions you: recommended, listed with caveats, or named as the one to avoid. Scored per answer, so one sceptical response to a high-intent prompt is not averaged away.
Share of voice
Your mentions as a proportion of all brand mentions across the same prompts, against the competitors you name. It is the shape PR and brand teams already report, applied to AI answers.
Average position
Where your brand appears when it is named: two brands with the same mention rate are not equal if one is always named first and the other is buried below four rivals.
Per-engine spread and historical trend
Every metric split by engine and stored per run, so you can match the day a mention appeared or disappeared to what shipped that week.
How Brand Visibility Tracking Works
A fixed prompt set runs on each engine on a schedule, and every answer is stored so the score is auditable.
- 1
Add your brand and competitors
Enter your domain, the brand names and spelling variants engines use for you, and the rivals you want share of voice measured against. Variants matter: an engine that names you two different ways in one week will otherwise split your score in two.
- 2
Build the prompt set
Asva generates prompts for your category grouped by intent — brand research, buying, comparison and use-case — which you then edit. The set is versioned, so the trend line stays comparable when you change it later.
- 3
Run across engines on a cadence
The tracker queries each engine at the interval you choose across your target regions, and keeps the full response text and every cited source for each run — the evidence behind the score, not just the score.
- 4
Score mentions, citations, sentiment and position
Each answer is parsed for brand mentions, cited domains, tone and rank, then rolled up per engine and per prompt group.
- 5
Act on the gaps and re-measure
Prompts where competitors appear and you do not become a work queue; cited domains become an outreach list. The next scheduled run shows whether the change landed, and how fast.
Advanced Tracking Capabilities
Competitive Benchmarking
- Compare your presence against industry leaders and competitors
- Track relative market share of voice in AI responses
- Identify gaps and opportunities in competitive landscape
- Monitor competitor citation strategies and sources
Trends & Insights Over Time
- Analyze changes in your presence across time, regions, topics, and languages
- Track seasonal patterns and trending topics
- Identify emerging opportunities and threats
- Receive intelligent alerts for significant changes
What the Tracker Measures on Each Engine
The same question gets a different answer on each engine, so the tracker never blends them into one score.
ChatGPT
Draws on training data plus live retrieval through OAI-SearchBot and ChatGPT-User, and often cites community and review threads. Blocking GPTBot (a training crawler) does not stop retrieval; blocking OAI-SearchBot does.
Perplexity
Retrieval-first: nearly every answer cites live pages fetched by PerplexityBot, so citation share moves fastest here and is the earliest signal that a content or access fix worked.
Google AI Overviews and AI Mode
Built on Google's index, so classic SEO and structured data carry over more than anywhere else. Overviews appear on only some queries; AI Mode is tracked separately because its format differs.
Gemini
Also grounded in Google's index, but its conversational format produces longer answers with fewer visible citations — so sentiment and share of voice usually tell you more than citation share.
Copilot
Grounded in Bing, so Bing indexation matters regardless of your Google position. It cites fewer, more authoritative sources per answer, making each citation slot harder to win and worth more.
Grok and Meta AI
Tracked for mention rate and sentiment where your buyers use them, so the picture is not limited to the five largest engines.
Engine weighting is not a footnote
Across the 12,849 citations Asva tracked in the 30 days to 18 September 2026, the split was Perplexity 27.95%, ChatGPT 26.64%, Gemini 23.31%, Copilot 11.14% and Google AI Mode 10.94% (source: Asva AEO MCP, 30 days to 18 September 2026). Being well cited on one engine while absent from another is normal, and the fix differs for each — which is why a single blended number hides the work.
27.95%
Perplexity
26.64%
ChatGPT
23.31%
Gemini
11.14%
Copilot
10.94%
Google AI Mode
Share of 12,849 citations, 30 days to 18 September 2026. Source: Asva AEO MCP.
Who Uses a Brand Visibility Tracker
Four teams own different rows of the same dashboard, and each reads it differently.
The analyst (SEO / AEO)
Works at the prompt level: which questions name a competitor and not you, which pages earn your citations, and which fix to ship first, with the trend line as proof the lift was real.
The brand team (PR)
Watches sentiment and share of voice per engine in the shape they already report, with alerts when an engine's framing of you changes — catching a bad citation this week instead of at the quarterly review.
The agency
Runs multi-brand workspaces and per-client reporting from one prompt-set method that holds up in a QBR, because every client is scored on the same questions, engines and competitors.
The executive
Needs one defensible number and its direction. Share of AI voice against named rivals is the board-level version of everything below it — reported as a trend, never as a single noisy run.
How the Tracker Connects to the Rest of Asva
The tracker names the gap; the rest of the platform is how you close it.
From the gap to the fix
The tracker tells you where you are absent. Citation intelligence shows which sources an engine cites for each prompt, so you know whether to earn a mention on a third-party page or fix your own — reddit.com was the single most-cited domain in the 30 days to 18 September 2026, at 439 citations (source: Asva AEO MCP, 30 days to 18 September 2026). AI search monitoring is the continuous run behind the trend line; prompt intelligence is where the prompt set comes from; and Answer Engine Optimization is the method for changing what an answer says. When the citation is user-generated content, Reddit AI tracking covers that surface, and the llms.txt generator helps make your own pages retrievable.
The same metrics inside your assistant
Every metric above is also available outside the dashboard through the Asva AI MCP server. Once connected over OAuth, an assistant such as Claude, ChatGPT, Cursor or VS Code can pull your brand visibility, share of voice, citations, sentiment and competitor rankings on demand from the endpoint mcp.asvaai.com/mcp — the number in the tool you already work in, without opening a tab.
How It Differs From a Rank Tracker or Social Listening
A visibility tracker is not an SEO rank tracker and not a social listening tool, and the difference is the answer itself.
Rank tracker
A rank tracker records the position of a URL on a results page. An answer engine returns no ranked list of ten links — it returns one synthesised paragraph that may name three brands and cite six sources, and your URL's "position 4" is irrelevant if the paragraph never mentions you. A visibility tracker scores the paragraph: are you named, are you cited, how are you framed, and against whom.
Social listening
Social listening tools watch what people say about you on public channels. A visibility tracker watches what the engine says when a buyer asks it a question — a smaller, higher-stakes surface, because the answer is often the only thing the buyer reads. The two are complementary: social listening finds the Reddit thread; the visibility tracker tells you the engine is citing it, and whether that citation helps or hurts.
Tracker, Checker or Report: Which One You Need
A checker scans once, a report dates a snapshot, and a tracker measures the same set continuously.
One-off scan
Checker
A one-time read on whether AI engines and their crawlers can find and mention you today — useful before you start, useless for measuring progress. Asva's free AI visibility checker is the fastest way to get that first read.
Run the free checkerDated snapshot
Report
A visibility snapshot at one moment: the right format for a kickoff or a board deck, but stale the week it is produced.
Continuous measurement
Tracker
The same prompt set on a schedule, with history, per-engine trends, alerts and competitor comparison — the only one of the three that tells you whether a number moved after you changed something.
See the trackerHow to Read the Metrics
Read mention rate first, then citation share, because a change in one usually explains the other.
| Metric | Read it as | A drop usually means |
|---|---|---|
| Mention rate | Are we in the answer at all? | A falling mention rate with stable citation share means the framing changed — an engine now answers with a competitor. |
| Citation share | Which pages are doing the work? | A stable mention rate with falling citation share means a source you relied on is gone: removed, blocked to a retrieval crawler, or outranked by a newer one. |
| Sentiment | How are we framed when we appear? | Falling sentiment points to a negative review or comparison becoming a cited source. |
| Share of voice | Are we gaining or losing against named rivals? | Falling share of voice means a competitor shipped content or earned coverage on the same prompts. |
Report the trend, not the run
In every case, report the trend rather than a single run — engines vary their answers between runs, so the direction is the signal and the point value is noise.
Common Mistakes in AI Visibility Tracking
Most tracking errors come from blocking retrieval crawlers and from measuring only branded prompts.
Blocking retrieval crawlers along with training crawlers
GPTBot, CCBot and Google-Extended are training crawlers; OAI-SearchBot, ChatGPT-User, PerplexityBot and ClaudeBot fetch pages at answer time. Block the second group and you drop out of live answers, so audit robots.txt before you read any score.
Tracking only branded prompts
Tracking only "what is [your brand]" flatters you, because visibility is won on category, comparison and use-case prompts.
Treating one run as the truth
Treating one run as the truth mistakes noise for movement; compare rolling periods instead.
Rewriting the prompt set without versioning it
Rewriting the prompt set every month without versioning it makes the trend line meaningless, so keep a stable core.
Metrics Glossary
Plain definitions for the terms this page and the dashboard use.
- Answer engine
- An AI assistant that returns a synthesised answer instead of a list of links: ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, Grok, Meta AI.
- Mention rate
- The share of tracked prompts in which an engine names your brand.
- Citation share
- The proportion of sources cited in a tracked answer that belong to your domain.
- Sentiment
- The framing an engine applies to you, scored per answer as recommended, caveated or negative.
- Share of voice
- Your mentions as a percentage of all brand mentions across the same prompts, against named competitors.
- Average position
- The order in which your brand appears when it is named in an answer.
- Prompt set
- The versioned list of category questions the tracker runs, grouped by intent.
- Retrieval vs training crawler
- A retrieval crawler (OAI-SearchBot, PerplexityBot, ClaudeBot) fetches pages at answer time; a training crawler (GPTBot, CCBot, Google-Extended) collects data for model training. Only the first affects live answers.
Frequently Asked Questions
What is an AI brand visibility tracker?+
An AI brand visibility tracker is software that repeatedly asks answer engines — ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, Grok and Meta AI — the questions your buyers ask, then records whether your brand is mentioned, which sources are cited, how you are described and how you compare with named competitors. It runs on a schedule, so it produces a trend rather than a snapshot.
How do you track brand mentions in AI search?+
You define a prompt set for your category, run it against each engine on a schedule, store the full responses, and parse each one for brand names, spelling variants, cited domains, tone and position. The results roll up into mention rate, citation share, sentiment and share of voice, split by engine and prompt group.
What is the difference between an AI visibility checker and a tracker?+
A checker is a one-off scan that tells you whether AI engines and their crawlers can find and mention you right now. A tracker runs the same prompt set continuously, keeps history, compares you with competitors and alerts you to changes. Use a checker before you start, and a tracker once you need to know whether your work moved the number.
Which AI engines does the tracker cover?+
The tracker runs prompts against ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, Grok and Meta AI, and reports every metric per engine and in aggregate. The engines retrieve and cite differently, so the per-engine view holds most of the actionable detail — a fix that lifts Perplexity within days can take longer to appear in Google AI Mode.
Can I track my competitors' AI visibility?+
Yes. You name competitors at setup and the tracker runs the same prompt set for them, so share of voice, sentiment and per-engine mention rate are measured on identical questions. The competitor view shows which prompts trigger their mentions and not yours — the shortest route to a prioritised content and citation plan.
How often should you measure AI brand visibility?+
Measure on a fixed schedule rather than on demand, because engines vary their answers between runs and a single check is noisy. Most teams review a rolling period weekly and report a longer trend monthly. Cadence matters less than consistency — keep the same prompt set, engines and competitors, so a change in the chart reflects a change in the world.
Can I get the metrics without opening the dashboard?+
Yes. The Asva AI MCP server exposes brand visibility, share of voice, citations, sentiment and competitor rankings to any MCP-compatible assistant, so you can ask for the number from inside Claude, ChatGPT, Cursor or VS Code. Setup is at /docs/mcp.
See your brand across
AI answer engines
Start tracking mention rate, citation share, sentiment and share of voice across the engines your buyers use.
See the trackerOr run the free checker first.