Does ChatGPT Know About My Business?

How Do You Actually Test Whether ChatGPT Knows Your Business?

You don't need a developer or a paid tool to get a first read — just three tabs and five minutes. Open ChatGPT, Google Gemini, and Perplexity, and ask each one the same three questions, back to back, using your business name and category exactly as a customer would type them. Don't lead the model with extra context — type the question cold, note the answer, and move to the next tab.

This works because each engine pulls from a different mix of training data, live search, and retrieval. ChatGPT's search-grounded answers run against the Bing index — if your site isn't indexed in Bing, it isn't citable by ChatGPT no matter how well you rank on Google. Running all three exposes gaps a single check would miss.

For the fuller, five-engine version of this same test — including Claude and Grok — run the free instant scan, which scores your business automatically instead of asking you to compare three browser tabs by hand.

What Are the 3 Questions to Ask?

Use the same structure regardless of industry — swap in your business name, category, and neighborhood.

• The identity question: "What is [Your Business Name] and what do they do?" Tests whether the model recognizes your business at all, and whether the basics — service, location, specialty — are correct.
• The recommendation question: "What's the best [your category] in [your neighborhood]?" — for example, "best bankruptcy attorney in the Financial District," "best branding studio in DUMBO," "best commercial electrician in Long Island City," or "best corporate law firm in Midtown." Tests whether you get recommended, not just recognized.
• The comparison question: "How does [Your Business Name] compare to other [category] options, and what do reviews say?" Tests depth — whether the model has enough on you to form an opinion, or just enough to confirm you exist.

Ask all three on ChatGPT, then Gemini, then Perplexity. Nine answers total. Read them cold, the way a prospective client would.

What Are the 4 Outcome States?

Every answer you collect falls into one of four buckets.

• Invisible — the model has nothing. It says it doesn't have information on your business, describes a different company entirely, or answers the category question without ever naming you.
• Partial — the model knows you exist but the details are thin or wrong: an old address, a service you no longer offer, a vague one-line description with no specifics.
• Outdated — the model has real, specific information, but it's stale — pricing, staff, service area, or offerings that changed months ago and were never picked up.
• Cited — the model names your business by name, with accurate current details, in response to a category or recommendation question. This is the state that drives calls.

In a market as content-dense as NYC, don't be surprised if even a real, established business lands in invisible or partial on at least one engine — even when the website and Google Business Profile look fine to a human visitor. For a deeper breakdown of each cause, see Why Isn't My Business Showing Up in ChatGPT?

What Causes Each Outcome State?

The four states above are symptoms. The causes are usually one of these:

• No organic search footprint. 71.7% of ChatGPT citations come from pages that already rank in organic search (GrowingAI, 2026) — if Google barely sees you, ChatGPT usually doesn't either.
• Missing from Bing's index. ChatGPT's search-grounded answers run on the Bing index specifically. A site that ranks in Google but was never submitted to Bing is invisible to a large share of ChatGPT's real-time answers.
• No FAQ-structured content. FAQ-schema content gets cited roughly 3x more often in Google AI Overviews (iQDigital, 2026). Most small business sites answer questions in paragraph form, or not at all.
• Stale pages. Pages left untouched for around 90 days see measurably fewer AI citations (iQDigital, 2026) — an AI system reads a page's last-updated signal the way a customer reads a dusty storefront.
• A crowded field. Semrush's 2026 directory lists 55 SEO agencies for NYC alone. In a market this dense, thin or generic content gets outcompeted for the same retrieval slot by competitors publishing more, and more specifically.

None of these require a new website — they require specific, structural fixes. If you're wondering how this differs from ranking on Google, see NYC SEO vs. AI Visibility.

What's the 30-Day Fix Sequence?

Once you know your state, the fix follows a fixed order — foundation before content, content before promotion.

• Days 1–7: Baseline. Run the free AIR Score scan across all five engines, confirm whether your domain is indexed in Bing, and audit your site for existing schema markup (Organization, LocalBusiness, FAQPage).
• Days 8–14: Fix the foundation. Add or correct schema markup, fix inconsistent name/address/phone details across your site and listings, and submit your sitemap to Bing Webmaster Tools if it isn't indexed yet.
• Days 15–21: Build citable content. Publish direct-answer FAQ content for the exact questions prospects — and models — ask: how much does this cost, do you serve this neighborhood, how is this different from the alternative. Update any page that hasn't changed in 90-plus days.
• Days 22–30: Re-test and lock in a cadence. Re-run the same three questions on ChatGPT, Gemini, and Perplexity from Day 1. Compare answers side by side. Set a recurring 60–90 day refresh so pages don't drift back into the outdated bucket.

For the full version of this sequence with page-by-page detail, see How to Get Recommended by ChatGPT in NYC.

Why Is NYC the Hardest Market to Get Cited In?

NYC is the most contested AI-visibility market of any hub in the DAS network, and it's worth saying plainly. The city has more than 183,000 small businesses in operation — the highest count in its history (NYC Department of Small Business Services, Dec 2025) — many of them competing for the same limited set of AI-generated answers in Midtown's dense law, finance, and media core.

It's also home turf for the category leader. Profound — the AI-visibility platform — is headquartered in New York, raised a $96M Series C at a $1B valuation, and counts roughly 700 enterprise customers (Fortune, Feb 2026). NoGood, an NYC growth agency, runs a standalone AEO service with LLM-citation tracking. Mimvi SEO markets itself as "Top-Rated AI SEO NYC" from Manhattan. That's the same crowded field Semrush's 2026 directory captures — 55 SEO agencies for the city, the exact figure cited above.

You're not competing against one local rival for attention — you're competing for retrieval slots against a crowded, well-funded field of named competitors in the same city. See the NYC AI Visibility Index for the current baseline. That makes the fundamentals — schema, Bing indexing, FAQ content, update cadence — matter more here, not less.

How Does Deep AI Solutions Help?

Deep AI Solutions is Texas-headquartered and works with NYC businesses entirely remotely — there's no Manhattan office, and there doesn't need to be. AI-visibility work is measurement and engineering: reading how five AI systems answer questions about a business, then fixing the structural gaps behind invisible, partial, and outdated results. None of that requires a desk in Midtown.

The AIR Score — a trademark of Deep AI Solutions Inc — is a composite 0-100 score of mention, recommendation, and sentiment across ChatGPT, Claude, Gemini, Grok, and Perplexity: the same five-engine version of the three-question self-test above. Plans start at $1,299/month (Signal), scaling to $2,999/month (Authority) and $5,999/month (Dominance), month-to-month with no setup fee — see pricing and services for what's included at each tier. For the broader strategy this test feeds into, see AI SEO in NYC.

Run the free instant scan to see where your business actually stands, or call +1-281-937-3337 to talk through the results.