See whether AI recommends your brand. And what to fix if it does not.
AnswerTrace measures your recommendation rate in every country and city you sell in. Then it diagnoses why you lose, ships the fixes, and tracks the organic traffic they earn.
Free scan, no credit card. Score ready in minutes.
Then the fix, one click from published.
This is the actual report. Nothing here is a mock-up.
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.
Indian buyers use AI to shortlist. Most Indian brands lose before the conversation starts.
When an Indian buyer asks ChatGPT which SaaS tool, fintech platform, or D2C brand to use, in English, Hindi, Hinglish, Tamil, or Telugu, they get a short answer naming three or four options. The brands named start the sales conversation. The rest are never considered. And most Indian teams have no idea which side they're on, or why.
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.
Where the question is asked changes who gets named.
Not just which engine. The same question returns different brands on Google than in the AI answer, different brands in one country than another, and different brands from Bengaluru than from Mumbai. AnswerTrace records the surface, the country and the city behind every result, so a number on your report is always true of somewhere specific.
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. A country splits your question budget and a city divides it again, so ten cities on a 200-question plan is 20 questions each, and the report tells you when a choice has thinned the sample.
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.
Common questions.
AEO, SEO, why you're losing, and how AnswerTrace works.
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.