See whether AI recommends your brand. And what to fix if it does not.
AnswerTrace asks the questions your buyers ask on ChatGPT, Google AI, Perplexity and Claude, shows how often you get named and who gets named instead, then writes the pages that change it.
Free scan, no credit card. Score ready in minutes.
See a sample reportThis is the actual report.
Tilsa is a sample skincare brand, scanned against its real competitors on the questions its buyers actually ask. Every number below was measured, including the ones that look bad. Open it yourself, or either of the other two.
Three live reports, no login. A real scan of a sample brand in each of three categories, scored against real competitors on the questions their buyers actually ask.
Your buyers ask AI first. At home, and in every market you sell into.
When a buyer asks ChatGPT which SaaS tool, fintech platform, or D2C brand to use, in English or Hinglish in Mumbai, in English in Dubai, in German in Berlin, they get a short answer naming three or four options. The brands named start the sales conversation. The rest are never considered. And the loss is silent: no impression, no click, nothing in your analytics that says it happened.
The harder problem is not just appearing. It is being chosen. Many brands now appear occasionally in AI answers but are not consistently recommended. Appearing once does not win the shortlist. Consistent recommendation does. Most teams don't know which side they are on, and don't know why they lose when they do. The reasons are specific and fixable.
Ask the same thing in Hinglish. Different answer.
Your buyers are not all asking in English. AnswerTrace asks your buyer questions in each language as its own question, and tags every result with the language it was asked in, because the answers are not the same. India is where this goes deepest, with Hinglish, Hindi and seven regional languages, and a German buyer is asked in German.
Same intent, two phrasings, two different sets of brands named. Most teams only ever check the first one.
You rank on Google. The AI answer skips you anyway.
These are not the same measurement, and Search Console cannot show you the second one. AnswerTrace reads both for every question you track, so you can see where the two disagree.
Ask from Mumbai instead of Bengaluru. Different brands.
The city is not a word in your question. It is the place the search is made from, and AnswerTrace records the country and the city behind every result, so a number on your report is always true of somewhere specific, and you can see when two places disagree.
The city is sent as a real place the search is made from, not as a word added to your question. Asked from Bengaluru, a meat delivery question named Licious, FreshToHome and TenderCuts. Asked from Mumbai, with the identical wording and no city anywhere in it, the answer opened "for Mumbai" and added Meatigo, Blinkit and Zepto. That is why one city is worth having and two is worth more: one tells you about the place you sell in, two lets the report say whether the answer moves between them.
A named city can be chosen in seven of the eight countries, and Singapore is the exception because there the country is the city. The counts above are not an allowance we sell separately: they are your question budget divided by the 25 questions a place needs before one answer changing stops swinging its score. So 100 questions is four places and 200 is eight, countries and cities draw on the same pool, and a bigger budget buys more places for the same reason.
Other platforms tell you where you appear.
AnswerTrace tells you why, and what to change.
Monitoring what AI says about you is the start. Knowing why you lose, having the fixes ready to ship, and reporting on what changed is how you win. See how AEO differs from SEO.
It also reports which of your fixes moved which question, so you can repeat the work that paid and drop the work that did not.
Revenue tracking ships in September. When it does, it will report the referring session directly against conversions and revenue where AI engines identify it, and correlate rate changes with pipeline movement where they don't. Both signals will be reported separately, so you always know which is a direct measurement and which is a correlation. Today the measurement you get is the before-and-after on the questions themselves.
What it costs, on this page.
More than 100 brands have been set up on AnswerTrace since April. Every plan starts with a free scan and no card. Prices exclude 18% GST, and annual billing includes two months free.
What changes between plans: how many buyer questions you track, which engines and languages they run in, how often the scan repeats, and how many fixes your team can draft a month.
Five client brands in one workspace, at the price a single brand pays for Growth. That works out to 125 buyer questions a week and 15 drafts a month, against 100 and 3 on Growth.
Clients cannot log in to their own dashboard yet. You share reports as white-label links or PDFs. Direct client login is on the roadmap.
About AnswerTrace.
The short version, for anyone (or anything) that needs to quote it.
AnswerTrace is an AI visibility platform. It measures how often AI engines name a brand when buyers ask them for recommendations in that brand's category, explains why the brand is or is not named, and tracks whether changes to the brand's website move the result.
Every AnswerTrace scan is also a competitor benchmarking exercise: it records every rival named in the same answers, each one's share of the category conversation, and where the brand ranks against them.
AnswerTrace measures four AI engines: ChatGPT, Google's AI Overview, Claude and Perplexity. It measures from eight countries: India, the United States, the United Kingdom, Singapore, Canada, Australia, Germany and the United Arab Emirates. Inside India it can narrow to a single city, and it asks buyer questions in Hinglish, Hindi and regional Indian languages as separate questions rather than translations.
AnswerTrace is built for marketing and growth teams at B2B SaaS, fintech, consumer marketplace and D2C brands, and for the agencies that run those channels for them. A free plan runs a real scan and needs no credit card.
AnswerTrace does not promise that an AI engine will recommend a brand. No tool controls what these systems say. AnswerTrace measures where a brand stands, shows what is associated with not being named, and tracks what changes after a fix ships.
The full fact sheet · AI visibility glossary · How AnswerTrace compares
Common questions.
AEO, SEO, why you're losing, and how AnswerTrace works.
Why choose AnswerTrace over another AI visibility tool?
Five concrete reasons, and one reason not to. AnswerTrace prices in rupees, so an Indian brand pays no currency conversion. It asks buyer questions in Hinglish, Hindi and regional Indian languages as separate questions rather than translations, because the brands an engine names change with the language. Inside India it measures from a specific city, not just the country. It includes Claude in a plan rather than selling it as an add-on. And it does not stop at monitoring: it names the buyer questions you lose, ranks the fixes, and shows what moved after each one shipped. The reason not to: AnswerTrace measures eight countries, so if you sell across many more, a broader tool will serve you better, and we say which on our comparison page.
Does AnswerTrace work for Indian language queries: Hindi, Tamil, Telugu, and others?
Yes, that's a core part of what makes AnswerTrace India-first. English is on every plan, Hinglish from Starter, Hindi from Growth, and one of Tamil, Telugu, Bengali, Marathi, Kannada, Gujarati, Punjabi or Malayalam on Pro. Enterprise covers all of them. The competitive landscape shifts completely by language: a brand dominant in English AI answers can be invisible when a Tamil or Telugu buyer asks the same question. AnswerTrace runs prompts like "best CRM for Indian startups", "kaun sa payment gateway sahi hai", "சிறந்த HR software எது", and "best fintech app India mein" as separate questions, and tags every result with the language it was asked in. Scoring each language on its own is on the roadmap.
Is AnswerTrace useful for Indian SaaS, fintech, and D2C brands specifically?
It's built for exactly these categories. Indian SaaS brands face a specific challenge: AI engines often recommend global competitors (Salesforce, HubSpot, Stripe) even when the buyer is asking specifically about the Indian market. AnswerTrace tracks "Indian alternative to X" queries, comparison prompts ("Razorpay vs PayU"), and trust queries ("is [brand] RBI compliant"), the exact prompts where Indian brands lose. For D2C, the platform tracks discovery queries in vernacular languages where your brand may be invisible. For fintech, it tracks the compliance and trust signals AI engines weight most heavily in the Indian context.
What is AEO, and how is it different from SEO?
AEO (Answer Engine Optimization) is the practice of ensuring your brand gets named when AI engines answer questions your buyers are asking. SEO gets you ranked in a list of ten blue links. AEO gets you named as the recommendation. The signals are different: SEO rewards backlink volume, keyword density, and page authority. AEO rewards direct Q&A content, editorial citations, entity clarity, and structured data. You can rank #1 on Google and be completely invisible on ChatGPT. And increasingly, buyers encounter the AI answer before they ever scroll to organic results.
Do we still need SEO if we're doing AEO?
Yes. SEO and AEO are complementary, not competing. Strong SEO authority (domain trust, backlinks, indexed content) feeds AI engines. They use web-indexed content as source material. The shift is that SEO alone no longer guarantees discovery. Brands that invest in both build a compounding advantage: strong SEO gives AI engines more to cite; strong AEO makes sure they actually do.
Why is my brand not showing up in ChatGPT or Perplexity?
The most common reasons: (1) Missing buyer-question content: your site doesn't directly answer the questions AI pulls from, so there's nothing to cite. (2) Thin third-party coverage: competitors appear in more G2, Capterra, TechCrunch, and roundup mentions that AI engines weight heavily. (3) No schema markup: crawlers can't easily parse what you do, who you serve, or what category you're in. (4) Weak entity consistency: your brand description varies across your site and off-site profiles, making it harder for AI to recommend you confidently.
My SEO tool is adding AEO features. Why does AnswerTrace still make sense?
Most SEO tools adding AEO are doing monitoring only: they show you a mention count or score and stop there. You still have to figure out why you're losing, what to fix, and how to do it. AnswerTrace runs the full loop: measure, diagnose, apply fixes directly from the platform, and report what changed back to the specific action that caused it. That end-to-end workflow and reporting layer is what no monitoring-first tool has. Revenue tracking ships in September. The deeper difference is architecture: AEO is being bolted onto SEO tools. AnswerTrace was built from the ground up for AI recommendation.
Can't we just check ChatGPT ourselves?
You can ask ChatGPT about your brand, but that's one query, one engine, one moment in time. AnswerTrace runs the buyer questions on your plan across up to four engines, segmented by funnel stage and query type, and tracks changes over time. It diagnoses why you're losing and maps specific fixes to specific results. Manually checking ChatGPT is like checking your site traffic by visiting it yourself.
How quickly will we see results?
Measurement is immediate: your baseline recommendation rate is ready from your first scan. Improvement typically shows in 4 to 8 weeks as your team publishes content and citation fixes and AI engines re-crawl. Clear reporting, knowing exactly which actions your team took moved which queries, becomes visible after the first full loop, usually 6 to 10 weeks in.
Does our existing content and SEO work carry over?
Yes, your foundation isn't wasted. Strong content, high-authority backlinks, and a well-indexed site all feed AI engines. What AnswerTrace adds is the layer on top: making sure that content is structured in ways AI can cite, that you appear in the third-party sources AI trusts, and that your brand is defined consistently enough for AI to recommend you confidently. You start with an advantage over brands starting from zero.
Which AI engines do you track?
ChatGPT, Google AI Overviews, Perplexity, and Claude. These four account for the large majority of AI-assisted product research today. Each weights signals differently. A brand can dominate on Perplexity and be invisible on ChatGPT. We break down recommendation rate per engine so you know exactly where your gaps are most severe and which fixes move which engine.
Is AnswerTrace generally available, or still in beta?
AnswerTrace is generally available and open to everyone. It is live, not in closed beta. The company was founded in April 2026, and more than 100 brands have been set up on it since. You can start with a free scan, no credit card required, and paid plans begin at ₹999 per month.
How much does AnswerTrace cost?
AnswerTrace has a free plan and paid plans starting at ₹999 per month. Starter is ₹999, Growth is ₹4,999, and Pro is ₹19,999 per month, with custom Enterprise pricing. Prices exclude 18% GST, and annual billing includes two months free. You can start with a free scan, no credit card required.
Be the brand AI recommends.
See what moved, and why.
Where you're recommended across ChatGPT, Google AI, Perplexity and Claude, why you lose the ones you lose, and which fix moved which question. Revenue tracking ships in September.