How to Get ChatGPT to Recommend Your Business: 6 Levers

To get ChatGPT to recommend your business, improve the sources it retrieves: complete your Google Business Profile, make your name/address/phone identical everywhere, get listed and reviewed on the exact domains AI answers cite in your market, add LocalBusiness schema, and publish pages that answer customer questions plainly. Then measure monthly.

No one can guarantee an AI mention — there is no paid placement in organic answers and no submission form. But the inputs AI systems observably rely on are known, and every one of them is workable. Here they are, in the order most businesses should tackle them.

Why these levers work

When ChatGPT answers “who’s the best mortgage broker in Boise,” it isn’t consulting a private database of businesses. With search enabled, it retrieves indexed web pages — directories, review platforms, local press, business sites — reads them, and composes an answer, usually with citations. Perplexity and Google’s AI answers work the same way. Even Google moved Search itself to AI Mode in May 2026.

So the lever is upstream of the model: exist, be consistent, and be well-described on the pages those systems retrieve. In the local-business audits we run, the pattern that predicts visibility best is exactly that — presence on the sources AI answers already cite, plus consistent name/address/phone data and a complete Google Business Profile.

One honest caveat before the steps: about 84% of US consumers still use Google daily for local business searches, and only about 24% prefer AI chat for local queries. The good news is that this isn’t an either/or. The work below improves both channels, because Google’s answers are now AI-composed too.

Lever 1: Complete your Google Business Profile

Your Google Business Profile is the single densest structured description of your business on the web, and it feeds Google’s answer layer directly. Complete means complete: every service listed, hours accurate (including holidays), correct categories — primary and secondary — service area defined, photos current, and the description written in plain language a model can quote.

Half-finished profiles are common enough that finishing yours is a real edge. If your profile says “plumber” but not “tankless water heater installation,” you’ve told every AI system less than your competitor did.

Lever 2: Make your NAP identical everywhere

NAP is name, address, phone. AI systems resolve entities by matching these details across sources. “Smith & Sons Plumbing,” “Smith and Sons,” and “Smith Plumbing LLC” look like three weak businesses instead of one solid one — and conflicting data makes a model less likely to name you confidently.

Pick one canonical format for your name, address, and phone number. Then sweep: your website footer, Google Business Profile, every directory, every review platform, every social profile. Fix or remove stale listings, especially old addresses from before a move. This is tedious, unglamorous work that you fully control, which is exactly why it’s worth doing first.

Lever 3: Get onto the domains AI actually cites in your market

This is the lever most advice skips, and it’s the one with the most leverage.

The set of sources AI answers cite is not generic — it’s specific to your category and city. For one market it’s a couple of review platforms plus a local news site; for another it’s directories and a listing portal. From our weekly tracking lab (90 answers per week in one consumer niche), the most-cited domains were YouTube, Reddit, and major review and news sites — not the businesses’ own websites.

So build a citation-source inventory: ask AI systems your market’s real customer questions, and record every domain the answers cite. That list is your to-do list. For each domain: are you present, complete, and current there? Every one of our audits produces this inventory automatically, but you can start a rough version by hand today. If you work in mortgage or real estate or home services, the cited mix looks different again — check your own market rather than assuming.

Getting onto those domains is ordinary work: claim the directory listing, complete the profile, pitch the local roundup, be somewhere a journalist or blogger can find you.

Lever 4: Build review velocity on retrieved platforms

Reviews matter for a mechanical reason: review platforms are heavily retrieved sources for “best X in Y” questions. When the retrieved page shows a competitor with two hundred recent reviews and you with six from 2021, the source text itself argues against you.

Two things count: where and when. Where — prioritize the review platforms that appear in your citation inventory, not the ones you happen to like. When — a steady trickle of recent reviews reads better than a big stale pile, to humans and to the pages models retrieve. Build the ask into your process: after every completed job or closed deal, request a review, and make it one tap. Never buy or fake reviews; beyond the legal risk, inconsistency between platforms is exactly the signal that undermines you.

Lever 5: Fix your own site — schema, plain answers, llms.txt

Your website’s job in AI visibility is to be the clearest source of truth about you.

First, add LocalBusiness schema: structured data that states your name, address, phone, hours, services, and service area in a format crawlers parse without guessing. It should match your canonical NAP exactly.

Second, publish pages that answer real customer questions in plain language. “How much does a water heater replacement cost in Plano?” answered directly, in short sentences, near the top of the page. Models quote text that answers questions cleanly; they skip marketing copy that circles the point.

Third, llms.txt — an emerging convention: a plain-text file that gives AI crawlers a guide to your site’s key pages. Some AI crawlers read it, many don’t yet. It costs twenty minutes, so add it, but treat it as a cheap incremental, not a magic bullet.

Lever 6: Measure monthly, not once

A single check tells you almost nothing — models vary answers across phrasings and across days. Measurement means asking the same battery of questions on a schedule and tracking the trend.

Our monthly re-audits run the same 20 localized prompts — four intents (discovery, recommendation, comparison, task-specific) — across 6 AI systems, for 100+ timestamped answers, every time. Each response is stored raw and quoted verbatim. That’s what turns “I think it’s working” into a mention rate you can watch move. The full method is on how it works.

If you’d rather do it manually, fine — just be consistent: same questions, same systems, same day each month, answers saved verbatim with dates.

What to do this week

1. Audit your Google Business Profile against the “complete” checklist above. Fill every gap you find, especially services and categories.
2. Write down your canonical NAP. Fix your website footer and your top five listings to match it exactly.
3. Ask ChatGPT (search on) and one other AI system five real customer questions for your category and city. Record every cited domain — that’s your starter citation-source inventory.
4. For each cited domain, mark yourself present, absent, or outdated. Claim or fix the top two gaps.
5. Send review requests to your last ten happy customers, pointed at the platform your inventory cites most.
6. Add LocalBusiness schema to your homepage and draft one page that answers your most-asked customer question in plain language.
7. Put a monthly recurring reminder in your calendar to re-run step 3 with the same questions — or read why ChatGPT might not be recommending you yet to diagnose your specific gap first.

A note on cost, honestly: everything above is doable yourself for the cost of your time. Agencies will do it for you — entry-level AEO/GEO programs run $1,000–$2,500 per month — and for some owners that trade makes sense. Either way, insist on the same standard: no guarantees of AI mentions (nobody can honestly offer them), and monthly measurement you can see, quoted verbatim, with timestamps.

To find out where you stand before you spend anything, start with the free AI visibility scan.