AI Brand Visibility Tracker for
ChatGPT, Perplexity & Gemini
An AI brand visibility tracker is software that repeatedly asks answer engines such as ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot the questions your buyers ask, then records whether your brand is mentioned, which sources are cited, how you are described, and how that compares with named competitors. It runs on a schedule, so you get a trend rather than a screenshot. Asva reports mention rate, citation share, sentiment and share of voice per engine, across a prompt set you control.
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.
Seven Numbers That Describe Your Brand in AI Answers
Each is reported per engine and over time: are you in the answer, which pages got you there, how are you framed, and who is taking the space you are not.
Mention rate
The share of tracked prompts where an engine names your brand, per engine and in aggregate. The first number to move and the easiest to explain: if you are not mentioned, 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 retrieving a page that says so", which is the part you can change.
Sentiment
How each engine describes you when it mentions you: recommended, listed with caveats, or named as the one to avoid. Scored per response, so one sceptical answer to a high-intent prompt is not averaged away.
Share of voice vs named competitors
Your mentions as a proportion of all brand mentions across the same prompt set, against the competitors you name. PR and brand teams already report this for press and social; the tracker gives it the same shape for AI answers.
Per-engine breakdown
Every metric split by engine, because the engines disagree. Being well cited in Perplexity while absent from Google AI Mode is a normal state, and the fix is different for each.
Prompt sets
The questions the tracker runs, grouped by intent: brand research, buying, comparison and use-case. You start from a generated set for your category and edit it, so the score reflects what your buyers ask.
Historical trend
Every run is stored, so you can see the day a mention appeared or disappeared and match it to what shipped that week. That is what turns a score into something you can act on and defend.
How to Track Your Brand's Visibility in AI Search
- 1
Add your brand and competitors
Enter your domain, the brand names and spelling variants engines use for you, and the competitors you want share of voice measured against.
- 2
Build the prompt set
Asva generates prompts for your category grouped by intent, which you edit. The set is versioned, so trend lines stay comparable when you change it later.
- 3
Run across engines on a schedule
The tracker queries ChatGPT, Perplexity, Google AI Overviews and AI Mode, Gemini and Copilot at the cadence you set, storing the full response text and every cited source for each run.
- 4
Score mentions, citations and sentiment
Each response is parsed for brand mentions, cited domains and tone, then rolled up into mention rate, citation share, sentiment and share of voice, 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; citation sources become an outreach list. The next scheduled run shows whether the change landed.
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
ChatGPT Cites Reddit More Than Any Other Social Source
Our analysis of 241,133 AI citations shows that ChatGPT accounts for 99.8% of all Reddit citations. When someone asks "best [product] in India?" — ChatGPT looks at Reddit first. The tracker shows you which Reddit threads ChatGPT and Perplexity actually cite when answering product questions in your category, including dead threads you can replace to capture those citations.
241,133
AI Citations Tracked
2,850
Reddit Citations
45%
Dead Threads
99.8%
From ChatGPT
Top Cited Threads
See exactly which Reddit threads AI models reference when answering product questions in your category. These threads influence what ChatGPT recommends — if your brand isn't mentioned in them, AI won't recommend you.
Dead Thread Opportunities
45% of cited threads are dead. Find which ones AI still tries to cite and create replacement content in the same subreddit to capture those citations.
Prompt Pattern Analysis
Learn what questions trigger Reddit citations — brand research, buying intent, comparisons, and more — so you can optimize for the prompts that matter.
Key Finding
Across six Indian consumer-appliance categories, 45% of the Reddit threads AI cites are dead — deleted or removed posts that ChatGPT still points users to. In coffee machines alone, 151 of 185 Reddit citations point to broken content; the single most-cited dead thread ("South Indian filter coffee machine recommendations" on r/IndiaCoffee) still draws 38 AI citations. Brands that create replacement threads can capture those citations.
Reddit Citations by Category
| Category | Citations | Dead | Top Subreddit |
|---|---|---|---|
| Mixer Grinders | 195 | 35 | r/DesiKitchenGear |
| Coffee Machines | 185 | 151 | r/IndiaCoffee |
| Vacuum Cleaners | 166 | 30 | r/VacuumCleaners |
| Air Purifiers | 146 | 99 | r/AirPurifiers |
| Fans & Cooling | 73 | 7 | r/Chennai |
| Geysers & Water Heaters | 66 | 22 | r/HonestBuyerReviews |
Six categories pre-analyzed. More categories are being added regularly.
What People Ask AI
Reddit citations cluster into four intent types. Brand-research and buying-intent prompts trigger the most citations in every category we analyzed.
Brand Research
"Is Sujata mixer grinder good?", "Is Dyson V15 worth it?", "Atomberg fan review"
Buying Intent
"best air purifier India", "mixer grinder under 5000", "robot vacuum under 20000"
Head-to-Head Comparison
"Sujata vs Preethi", "Dyson vs MI vacuum", "Racold vs AO Smith"
Use-case & Technical
"mixer for idli batter", "what CADR do I need?", "geyser for hard water"
How to Use Citation Data
Focus on three actions: get your brand mentioned in the top-cited threads, create replacement content for dead threads in your category, and optimize for the prompt patterns that trigger Reddit citations. Pair the tracker with our free Reddit tools to find the gaps:
What Differs Between ChatGPT, Perplexity, Google, Gemini and Copilot
The engines retrieve, cite and phrase answers differently, so the tracker never collapses them into one score.
ChatGPT
Draws on training data plus live retrieval through OAI-SearchBot and ChatGPT-User. Mentions often arrive with citations to community and review sources. Blocking GPTBot (training) does not stop retrieval; blocking OAI-SearchBot does.
Perplexity
Retrieval-first: almost every answer cites live pages fetched by PerplexityBot, so citation share moves fastest here and reflects what is crawlable now. The earliest signal that a content or access fix worked.
Google AI Overviews and AI Mode
Built on Google's index and ranking signals, so classic SEO and structured data carry over more than anywhere else. Overviews only appear on some queries, so the tracker records whether one was shown at all. AI Mode is tracked separately because the answer and citation format differ.
Gemini
Also grounded in Google's index, but the conversational format produces longer, more comparative 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. Copilot cites fewer, more authoritative sources per answer, which makes each citation slot harder to win and worth more.
AI Visibility Tracker, Checker or Report: Which One Do You Need?
These three words get used interchangeably, and they are not the same product.
One-off scan
Checker
A one-time read on whether AI engines and their crawlers can find, read and mention you today. Useful before you start, useless for measuring progress: there is no second data point.
Run the free readiness scanDated snapshot
Report
A document of your visibility across engines at one point in time. The right format for a kickoff, a pitch or a board deck. It goes stale the week it is produced.
Continuous monitoring
Tracker
The same prompt set on a schedule, with history, per-engine trends, alerts and competitor comparison. The only one that can tell you whether a number moved after you changed something.
See the trackerBuilt for the Teams That Own the Number
PR and brand teams
Share of voice and sentiment per engine in the shape you already report, with alerts when an engine's framing changes.
See the workflowSEO and AEO teams
Prompt-level mention and citation data to pick which pages to fix first, and a trend line to prove the lift.
See the workflowSaaS
Category and "alternatives to" prompts, where evaluation happens before anyone reaches your site.
See the workflowEcommerce and retail
Product and buying-intent prompts, including where engines cite community threads over your product pages.
See the workflowAgencies
Multi-brand workspaces and per-client reporting from one prompt-set method you can defend in a QBR.
See the workflowThe Metrics You Report, and What a Change Usually Means
Read them in this order. A falling mention rate with stable citation share means the framing changed; a stable mention rate with falling citation share means a source you relied on is gone. Report the trend, not the point value: single runs are noisy.
| Metric | Read it as | A drop usually means |
|---|---|---|
| Mention rate | Are we in the answer at all? | A prompt-set change, a model update, or a competitor now answering the question better. |
| Citation share | Which pages are doing the work? | A cited page was removed, blocked to a retrieval crawler, or outranked by a newer source. |
| Sentiment | How are we framed when we appear? | A negative review, thread or comparison page has become a cited source. |
| Share of voice | Are we gaining or losing against named rivals? | A competitor shipped content or earned coverage on the same prompts. |
| Per-engine spread | Which engine needs attention this week? | One engine's retrieval or index changed; check crawler access first. |
Five Ways AI Visibility Tracking Goes Wrong
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. Blocking the second group removes you from live answers. Audit robots.txt before reading any score.
Tracking branded prompts only
"What is [your brand]" will always mention you. Visibility is won or lost on category, comparison and use-case prompts, so weight the set towards those.
Treating one run as the truth
Engines vary their answers between runs, even for the same prompt on the same day. Compare rolling periods and per-engine trends, and report the direction, not a point value.
Ignoring where the citations point
A mention that cites a competitor's comparison page is not the same as one that cites you. Track citation share alongside mention rate, and look at the domains, not just the count.
Changing the prompt set without versioning it
If you rewrite prompts every month, the trend line means nothing. Version the set, annotate changes on the chart, and keep a stable core that never changes.
Trusted by Leading Growth Teams
See how enterprises are using Asva AI to dominate AI search visibility and Answer Engine Optimization.
"Asva AI helped us increase our ChatGPT mention rate by 340% in just 60 days. The visibility tracking is incredibly detailed."
"We finally understand how AI platforms perceive our brand. The competitor tracking alone is worth the investment."
"Real-time alerts saved us from a PR crisis. We caught negative AI mentions early and fixed the source content."
Why Choose Asva AI Brand Tracker?
| Capability | Asva AI | Basic Tools | Manual |
|---|---|---|---|
| Multi-Platform Coverage (6+ AI platforms) | ✓ | Partial | ✗ |
| Real-Time Visibility Alerts | ✓ | ✗ | ✗ |
| Competitor Share of Voice | ✓ | Limited | ✗ |
| Sentiment Analysis | ✓ | ✗ | ✗ |
| Citation Source Tracking | ✓ | ✗ | ✗ |
| Prompt Intelligence | ✓ | ✗ | ✗ |
Frequently Asked Questions
What is an AI brand visibility tracker?+
An AI brand visibility tracker is software that repeatedly asks answer engines such as ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot the questions your buyers ask, then records whether your brand is mentioned, which sources are cited, how you are described and how that compares 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 and tone. 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, such as Asva's free Agentic Readiness scan, 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, Google AI Overviews and AI Mode, Gemini and Copilot, 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 citations within days may take longer to appear in Google AI Overviews.
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 also 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: the same prompt set, engines and competitors, so a change in the chart reflects a change in the world, not in the method.
How does AI citation tracking work?+
We tracked 241,133 AI citations across ChatGPT and Perplexity, identified 2,850 that reference Reddit threads, and mapped them to specific subreddits, topics, and prompt patterns. The tracker's citation authority view shows you which sources drive AI answers for your product category.
What is a 'dead thread' opportunity?+
A dead thread is a Reddit post that has been deleted or removed, but AI models still try to cite it when answering questions. 45% of all Reddit threads that AI cites are dead. Brands can create replacement content in the same subreddit to capture those citations.
Why does ChatGPT cite Reddit so much?+
Reddit threads contain authentic user opinions, detailed product comparisons, and real-world usage experiences. AI models treat Reddit as a high-trust source for product recommendations, especially for Indian product categories.
How can I use citation data to improve my brand's AI visibility?+
Focus on three actions: (1) Get your brand mentioned in the top-cited threads, (2) Create replacement content for dead threads in your category, and (3) Optimize for the prompt patterns that trigger Reddit citations. Asva AI's monitoring tools help automate all three.
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Share of AI Voice?
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