Short answer: In 2026, customers ask Meta AI for local recommendations right inside WhatsApp and Instagram, and it leans on your Meta business profiles to answer. To get picked, finish your Facebook and Instagram Business profiles: the exact category you work in, your real hours and service area, a specific description, and a few recent reviews.
Most owners have not touched their Facebook page since they set it up. That page is now doing something new. When someone opens WhatsApp, taps the blue circle, and types "who's the best plumber near me," Meta AI answers by reading business profiles inside Meta's own apps. Your website and your Google listing are not the first thing it looks at.
This is the gap almost nobody is working on. And the fix takes about fifteen minutes.
Where does Meta AI actually answer your customers?
Meta AI is not a separate app your customers have to download. It lives inside the apps they already open all day: WhatsApp, Instagram, Facebook, and Messenger, plus Meta's Ray-Ban glasses.
That reach is the reason this matters. Meta reported that Meta AI reached one billion monthly active users across its family of apps, a figure CEO Mark Zuckerberg shared at the company's annual shareholder meeting. WhatsApp alone passed three billion monthly users, a number Zuckerberg cited on Meta's Q1 2025 earnings call. Meta's own newsroom says Meta AI "is on track to become the most used AI assistant."
So when a customer wants a bakery, a plumber, or a salon, a growing share of them will ask the assistant sitting inside the chat app they were already using. No new tab. No Google search. Just a question typed into WhatsApp.
Which profiles does Meta AI read to pick a business?
Here is the honest part: Meta has not published exactly which signals Meta AI uses to choose one local business over another. Anyone who tells you the precise ranking recipe is guessing.
What we can say is what practitioners who track this observe. The Answer Engine, a practitioner blog that studies Meta AI's local recommendations, puts it this way: "When a user asks about a local business, Meta AI does not search Google. It searches Meta's own ecosystem. That means Facebook Business pages, Instagram Business profiles, user reviews on Facebook, and location data tied to those listings are the primary signals Meta AI uses to decide who to recommend." Treat that as a field observation, not a Meta announcement. But it lines up with something Meta has confirmed: the company says one focus area for Meta AI is "new features that provide information and recommendations tailored to individuals." Meta is building this to recommend, not just to answer trivia.
The practical takeaway holds either way. If the assistant is reading your Facebook and Instagram Business profiles, then finishing those profiles is the work. Not your website. Not your Google Business Profile. Those still matter for other assistants, and we will come back to that. For Meta AI, start where Meta AI looks.
Set your Facebook category to what you actually do
An HVAC contractor listed under the category "Home Services" is invisible to a customer asking for heating repair. The label is too broad for the model to match.
Open your Facebook Business page, go to the About section, and check the primary category. If you fix furnaces, the category should say something like "Heating, Ventilating & Air Conditioning Service," not a generic bucket. A hair salon should read "Hair Salon," not "Beauty, Cosmetic & Personal Care." A plumber should read "Plumber," not "Contractor." Pick the most specific category Facebook offers for the thing customers actually ask for, then do the same on Instagram by choosing the closest business category in your professional profile settings.
The principle is simple. Meta AI can only match you to a request as specific as your category. A vague category is a closed door.
Across the owner-run businesses I have helped tidy up, the profile almost always predates the person caring about search at all. Someone set the page up years ago to post hours and a phone number, picked whatever category was closest, and never returned. The category is stale, the description is one line, and the hours are wrong from the last time they changed for a holiday. The work is rarely rebuilding anything. It is finishing what is already there.
Write a description Meta AI can actually pick
A bakery whose Instagram bio says "Bakery" gives the model nothing to grab. A bakery whose bio says "custom celebration cakes, gluten-free options, Highland Park" gives it three real reasons to surface you.
This is information gain, and it is the difference between showing up and getting skipped. Your description should name the specific things you do and the specific place you do them. Not "quality service." Not "your trusted local choice." Write the words a customer would actually type: the services, the specialties, the neighborhood or service area.
Use the same frame everywhere you have room for it. A plumber writes "emergency repairs, water heater installs, and drain cleaning in East Nashville." A salon writes "balayage, curly cuts, and bridal styling in Silver Lake." A cleaning company writes "move-out cleans, recurring home cleaning, and office cleaning across North Phoenix." Each one hands the model a specific it can match. Generic copy hands it nothing, which is the same as handing your customer to a competitor whose bio was specific.
If you want the fuller version of why specificity is what AI assistants reward, we walk through it in how to get AI to recommend your business.
Get a handful of recent Facebook reviews
Meta AI is reading social proof inside Meta's apps, which means Facebook reviews and recommendations, not just your Google stars. If your Facebook page has three reviews from 2022, that is a weak signal next to a competitor with fifteen recent ones.
You do not need hundreds. You need enough recent, real recommendations that the model reads you as an active, trusted business. Ask your last handful of happy customers to leave a recommendation on your Facebook page, the same way you would ask for a Google review. Send the direct link. Make it a two-tap job for them.
Recency counts as much as volume here. A page that collected reviews last month reads as a going concern. A page frozen three years ago reads as maybe-closed. The signal you want to send is "open, busy, and worth recommending right now."
Keep your name, category, and location the same on Facebook and Instagram
If your Facebook page calls you "Highland Park Bakehouse" and your Instagram calls you "HP Bakes," you have handed the model two businesses to reconcile. Mismatched details make you harder to trust and easier to skip.
Line them up. Same business name, same category, same address or service area, same phone number, on both Facebook and Instagram. This is the same consistency work that helps every AI assistant and every map understand who you are, which we cover in how AI knows your business information. Meta AI is just the newest reader of the same signals.
Do this in the next fifteen minutes
Here is the whole job, in order, for a plumber, a bakery, or a salon:
- Open your Facebook Business page and set the primary category to the exact thing you do, not a broad bucket.
- Do the same on your Instagram professional profile.
- Rewrite both descriptions with your real services, specialties, and neighborhood or service area.
- Check that your hours, phone number, and address or service area are current and identical on both.
- Ask your last five happy customers to leave a recommendation on your Facebook page, with the direct link.
- Make sure your business name reads the same on Facebook and Instagram.
That is it. No website changes, no SEO tools, no code. Two profiles you already own, finished properly.
How does this fit with your Google and other-AI visibility?
Meta AI is one reader, not the only one. ChatGPT, Google's Gemini, and Perplexity lean more on your website and your Google Business Profile than on your Facebook page. So finishing your Meta profiles adds a channel, it does not replace the rest of your work.
Think of it as three surfaces, each with its own reader. Your Google Business Profile feeds Google and Maps, which is worth its own pass in Google Business Profile optimization. Your website and structured info feed the web-reading assistants, which is the job in optimizing for Google Gemini. Your Facebook and Instagram profiles feed Meta AI. Same business, three front doors. Finish all three and you show up wherever the customer happens to ask.
Frequently asked questions
Do I need a website to get recommended by Meta AI?
Not for Meta AI specifically. Practitioners who track it report that it reads your Facebook and Instagram Business profiles rather than your website, so a finished pair of Meta profiles can put you in front of customers even with no site. You still want a website for Google and the web-reading assistants, but it is not the thing Meta AI checks first.
Is optimizing for Meta AI different from optimizing for ChatGPT?
Yes, and that is the whole point. ChatGPT and most other assistants lean on your website and Google Business Profile, so the winning actions are different. For a fuller picture of how the web-reading assistants choose, see how ChatGPT recommends businesses. For Meta AI, the action is finishing your Facebook and Instagram profiles.
How long until Meta AI starts recommending my business?
There is no published timeline from Meta, so anyone promising an exact number is guessing. In practice, once your profiles are complete, specific, and consistent, you are giving the model something clear to match. The faster win is usually the category and description fix, since a vague category is what most often keeps an owner from being surfaced at all.
Does my Facebook review count really matter for Meta AI?
Practitioners who study Meta AI's local picks rank Facebook review count and rating among the signals it appears to weigh. Meta has not confirmed the exact weighting, so treat it as a strong hint rather than a rule. Either way, a few recent, real recommendations make you look like an active business worth recommending.
That plumber who never touched their Facebook page since 2019 is one category edit and five review requests away from being the answer inside WhatsApp. The profiles are already yours. Finishing them is the work, and it is the kind of quiet, repeatable maintenance Fonzy keeps on autopilot across Google, the web-reading assistants, and Meta's apps, so you show up wherever your next customer thinks to ask.
Sources
- CNBC: Meta AI reached one billion monthly active users, announced by Mark Zuckerberg at the annual shareholder meeting
- TechCrunch: WhatsApp passed three billion monthly users, cited by Zuckerberg on Meta's Q1 2025 earnings call
- Meta Newsroom: Meta AI runs inside WhatsApp, Messenger, Facebook and Instagram, and is being built to give tailored recommendations
- The Answer Engine: practitioner observations on how Meta AI picks local businesses from Meta profiles


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