How do I get my business cited by ChatGPT?

How ChatGPT decides who to recommend

When a user asks "who's the best med spa near me," an AI assistant does not rank ten links. It searches and synthesizes, drawing on the open web, business profiles, review platforms, and its own trained understanding of entities, then names the one to three businesses it can describe with confidence. Confidence is the operative word: AI systems are penalized (by their own training) for naming entities they might be wrong about. The recommendation goes to the business that is easiest to verify.

That produces a different competition than classic SEO. You are not fighting for position. You are fighting to be legible.

The four layers that get you named

Layer 1: Answer-formatted content

AI engines quote content that answers questions directly and completely in one place. Publish tight, self-contained answers to the questions your customers actually ask: what the service costs, how long it takes, how to choose a provider, what makes yours different. Since June 2026, Google's AI Overviews place inline citations beside the exact supporting text, which rewards quotable, capsule-style answers over rambling blog posts.

Layer 2: Schema markup

Structured data (JSON-LD) declares your business type, services, area, and credentials in a language machines parse natively. Pages with FAQPage schema are roughly 3.2x more likely to appear in Google AI Overviews (Source: industry AI citation studies, 2026). Note that Google retired FAQ rich results in May 2026, the SERP stars are gone, but confirmed it continues parsing the markup to understand pages. The schema's job moved from decoration to citation eligibility.

Layer 3: Entity consistency

AI systems cross-reference. Your name, services, location, and story must match across your website, Google Business Profile, directories, and social profiles. Every contradiction lowers the machine's confidence, and confidence is what gets you named. This is unglamorous hygiene work, and it is frequently the difference-maker.

Layer 4: A corroborating footprint

The machine's last question is "does the wider web agree?" Reviews with substance (services named, outcomes described), mentions in local and industry context, and behavioral association between your brand and your market all feed the answer. A dozen detailed reviews outperform fifty generic ratings, because AI parses review content, not just star counts (Source: review-signal research, 2026).

The mistakes that keep businesses invisible to AI

• Deleting FAQ schema because rich results died. The markup still feeds AI understanding; publishers who stripped it lost citations.
• Writing for keywords instead of questions. AI engines quote answers, not keyword densities.
• Letting old listings contradict you. A stale address on a forgotten directory is an active vote against your legibility.
• Ignoring review substance. Asking happy customers to mention the specific service in their review is free AEO.
• Treating AI search as future tense. A billion people use Google's AI Mode monthly, and agentic booking now lets them act without visiting your site (Source: Google I/O, 2026). The shift is behind us, not ahead.

How to check where you stand

Ask ChatGPT and Perplexity who the best [your service] in [your city] is, and see if you are named. Then run our free 13-point audit, which checks the machine-readability layers (schema, entity consistency, answer content) alongside your Map Pack factors, and shows your score on screen in about 60 seconds.