Track your brand
in Meta AI.
Meta AI reaches buyers in several apps. Track a named surface consistently and see how it mentions your brand, compares alternatives and exposes sources.
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Meta AI now names you 3rd
Nike rankings over 7 daysOne chat tells you very little.
Ask Meta AI the same question three times and you can get three different answers. One spot check can’t show where you stand. A daily record can.
Trakkr asks every morning and keeps every answer, so your place comes from weeks of answers, not one chat.
Best running shoes for flat feet?
For flat feet, most runners do best in a stable shoe with firm arch support. The Brooks Adrenaline GTS 24 is the usual pick. The Nike Structure 25 is a close second: a softer ride, and it comes in wide. For longer runs, try the New Balance 860v14.
runrepeat.com, reddit.com, youtube.com and 1 moreEvery answer,
read for you.
Trakkr reads each answer the way you would: where it puts you, what it says about you and which pages it read. Then it keeps that reading, day after day.
See where Meta AI
puts you.
Every assistant ranks you its own way, so Trakkr keeps a separate record for each. Today Meta AI is where you’re strongest.
Know why Meta AI
changed its mind.
When an answer moves, Trakkr sets it beside the day before, finds the page Meta AI started reading, and drafts the fix.
See how fixes workBest stability running shoe?
- 1Adidas
- 2Nike
- 3PUMA
- 4Brooks
The best stability running shoes, tested
- PUMA ForeverRun Nitro
- Adidas Adistar CS 2
- Brooks Adrenaline GTS 24
Doesn’t name Nike
Best stability running shoe?
- 1PUMArunrepeat
- 2Adidas
- 3Nike
- 4Brooks
Get Nike onto runrepeat.com’s guide
Meta AI cites it in 3 of 4 answers. Trakkr drafted the pitch.The assistant people don't choose
Why Meta AI is different.
Nobody downloads Meta AI. It's already there: in the WhatsApp search bar, in Instagram, in Messenger, in front of billions of people who never made a decision to use an AI assistant. When your customer asks it for a product recommendation, they're not "doing AI research." They're mid-conversation.
That placement skews the questions. Meta AI leans consumer: shopping, gifts, local, lifestyle, asked casually and answered instantly, powered by Meta's Llama models. For consumer brands, it's a recommendation surface comparable to the big assistants. For B2B, it's smaller but rarely zero.
Here's the practical gap: almost nobody is watching it. Competitors that obsess over ChatGPT have typically never once checked what Meta AI says about their category. Trakkr runs your prompts against Meta AI daily, so you see your standing (and your competitors' blind spot) in one chart.
Four patterns that show up almost every time we run Meta AI
Observations from running buyer-intent prompts against Meta AI daily. Directional, not benchmarked. The published numbers live in Trakkr Research.
Consumer prompts dominate
Shopping, gifting, and lifestyle questions get Meta AI's most confident, list-style answers. Consumer brands see fuller coverage here than on research-oriented assistants.
Recommendations skew mainstream
Meta AI defaults to widely-known names more than other models. Challenger brands have to earn their way in through the sources it trusts: reviews, communities, publishers.
Answers stay stable, then jump
Day to day, Meta AI is one of the steadier models. Llama releases and product updates then move many answers at once, a step function worth catching the morning it happens.
Familiar SEO signals still matter
Brands with clean structured data, consistent entity naming, and strong third-party coverage get described more accurately. The web inputs are different in weight, not in kind.
What Trakkr records in Meta AI
Every daily run keeps the full Meta AI answer, so each signal can be checked against the words behind it.
Brand mentions
Every time Meta AI names your brand on consumer-intent prompts: recommendations, comparisons, gift guides, and "worth it" questions.
Recommendation position
Where you sit when Meta AI lists options. In a chat interface, the first name carries most of the weight.
Competitor share
Which brands Meta AI suggests instead of you, on which prompts, and how the recommendation split trends over time.
Cited sources
When Meta AI references sources, Trakkr records them: the pages and publishers feeding its view of your category.
Visibility trend
One Meta AI score tracked daily, benchmarked against the assistants everyone else is already watching.
Change alerts
Notifications when Meta AI starts or stops mentioning you, reorders its recommendations, or describes you inaccurately.
A repeatable Meta AI manual check
Two buyer questions and a few fixed controls turn a spot check into evidence you can compare.
Start with two buyer questions
- 1
What are three good [category] products for [buyer need]?
- 2
Which is a better fit for [buyer need], [your brand] or [competitor]?
Record the controls with the answer
Use one named Meta AI surface, such as WhatsApp or Instagram, and keep it fixed. Record the app, account and location context, date, brands, order, and any sources shown.
Limit: Meta AI behavior can differ by app, account, market and model rollout. A check in one app cannot stand for every WhatsApp, Instagram, Messenger or Facebook experience.
Set up a useful daily record
Three steps from your domain to a record you can read every morning.
Add your brand
Enter your domain, review the buyer questions and choose the competitors you want to compare.
Run Meta AI daily
Trakkr queries Meta AI against your prompts every day, recording mentions, recommendation order, descriptions, and any sources it exposes.
Review what changed
Inspect the Meta AI answers, mentions and sources behind a material change before choosing an action.
Keep exploring
- AI brand monitoringThe full picture: every model, one score.
- AI citation trackingThe sources behind every AI answer.
- AI Overview trackingTrack your brand in Google AI Overviews.
- Cross-platform guideHow to monitor mentions on every AI platform.
- Track brand mentions in GrokThe other under-monitored assistant.
Meta provides no brand-facing analytics for Meta AI: no mention reports, no alerts, nothing in Business Suite that covers assistant answers. The only way to know is to ask it your buyers' questions and record the answers over time, which is exactly what Trakkr automates with daily prompt runs.
The Agent answers from our docs, methods and pricing, and links to the source.
Know what Meta AI
tells your buyers.
Add your brand and the questions they ask. Trakkr asks Meta AI first thing tomorrow, and every morning after.
- 14-day free trial
- Cancel anytime
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- 2Adidas
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