How to show up when ChatGPT recommends a business like yours

What "showing up in ChatGPT" really means

There's no ranked list of links inside an AI recommendation and no ad slot to buy (yet). When someone asks an engine for the best option in your category and city, it writes a short answer naming a handful of businesses — built on the spot from everything it has read about your market. "Showing up" means being one of the names it writes, often enough that you're a reliable part of the answer rather than a lucky one. That's a different game from ranking on Google, and the businesses winning it are the ones who understood the difference early.

How AI engines actually choose who to recommend

Engines don't recommend the business with the best website. They recommend the business the wider web agrees is a good answer. They assemble a shortlist from the sources they were trained on and can retrieve — and they weigh what other sites say about you far more than what you say about yourself:

• Directories and maps for your category — the same listings that have always mattered, now read by a machine that wants consistent, structured facts (name, category, location, hours).
• Third-party reviews across multiple platforms — not one perfect profile, but consensus: are you reviewed well in more than one place?
• "Best [category] in [city]" roundups, listicles, and editorial mentions — these are recommendation gold, because they already do the engine's job for it.
• Mentions on partner sites, associations, local press, and other businesses' pages — independent corroboration that you exist and are credible.
• Your own site — but only the clear, factual parts: who you are, what you do, who you serve, where, and what makes you different, stated plainly enough for a machine to extract.

When those sources agree about you, the engine names you with confidence. When they're sparse or contradictory, it hedges — or recommends a competitor it's more sure about.

The five things that actually move AI recommendations

This is the work, in priority order. None of it is a trick; it's making the web's consensus about you accurate and complete enough for an engine to repeat.

1. 1Get listed and consistent everywhere it counts. Claim your category's directories, maps, and review platforms, and make your name, category, location, and hours identical across all of them. Conflicting facts are the fastest way to get skipped — the engine can't tell which version is true, so it picks someone clearer.
2. 2Earn third-party mentions, not just self-published pages. A page on your own site saying you're the best does little. Being named in a "best [category] in [city]" roundup, a local news piece, an association directory, or a partner's site does a lot — because engines weigh independent corroboration over self-description.
3. 3Make your reviews legible across more than one platform. Volume and recency matter, but cross-platform consensus matters more. A great Google profile alone often isn't enough; the engines look for agreement across several review sources before they trust a recommendation.
4. 4Write factual, answer-shaped content on your own site. State who you are, what you do, who you serve, and where — in plain language, and add structured data (Organization / LocalBusiness schema) so machines can read it cleanly. Engines extract facts; ambiguity gets you left out of the answer.
5. 5Build one consistent story about your business across the web. Make sure the same facts about you appear the same way everywhere — same name, same specialty, same service area. Contradictions make engines hedge; a single clear, corroborated identity makes you easy to recommend.

Why you can't fix what you haven't measured

Here's the trap that wastes the most effort: you can't improve AI visibility you've never measured, and a single ChatGPT screenshot will mislead you. AI engines are nondeterministic — ask the same question twice and you often get different businesses named. Most brand names that appear in one answer vanish on the next ask (we have the run-to-run data). So one screenshot showing your name is false comfort, and one showing a competitor is false panic. The only honest baseline is a frequency: across many runs, on each engine, how often are you named — and who gets named instead?

That's the measurement AskedAbout exists to give you. Start with a free 60-second check — your business name, category, and city — and you'll see your AI Visibility Score (0–100), how often the engines mention you, and which competitors they recommend in your place. Then, before you spend a month on the steps above, the $79 one-time Full Audit tells you which of them matters most for you: roughly 50–100 buyer-intent questions across ChatGPT, Perplexity, Gemini, and Claude, each sampled multiple times, reporting your mention rate per engine, share-of-voice against the competitors taking your slot, the exact sources the engines cite when they build a shortlist without you, and a prioritized fix plan. One payment, no subscription. (We query the official APIs and say so — no scraped consumer screenshots, no single-snapshot conclusions.)

A realistic timeline (so you don't quit a week in)

GEO is a compounding effort, not a switch. Engines re-read the web and re-synthesize their answers on their own schedule, so changes you make — a new listing, a roundup mention, cleaned-up facts — show up over weeks to months, not days. The businesses that win treat it like SEO in 2010: get an honest baseline now, change the inputs deliberately, and re-measure on a cadence to see what's actually moving the answer. The ones that lose either never measure, or change one thing, screenshot it once, and give up.

The old SEO playbook vs. the AI-recommendation playbook

The skills overlap, but the target moved. Optimizing only for Google rank and assuming AI follows is the most common — and most expensive — mistake we see in audits.

Where AskedAbout fits

AskedAbout doesn't do the GEO work for you — it tells you, specifically and in priority order, what to do and whether it's working. The free check gives you a baseline in 60 seconds. The $79 audit turns "I think we should be more visible in AI" into a concrete, ranked to-do list tied to your real mention frequencies and the actual sources the engines are citing about your market. You hand the fix plan to whoever runs your website and listings, do the work above, and re-check to confirm the answer changed. That's the whole loop: measure, fix, re-measure — with an honest number instead of a screenshot.

See also

• The full category, side by side: AI visibility tools compared — Profound, Otterly.ai, AthenaHQ, Peec AI and Ahrefs Brand Radar vs the $79 one-time audit.
• The data behind the nondeterminism: AI answers change every time you ask and which AI engine recommends your business.
• Your industry: AI visibility for dentists · for law firms · for SaaS.

FAQ