When AI recommends businesses in your market, is yours one of them?

Flaregraph measures where your business appears across ChatGPT, Gemini, Perplexity, and Claude, identifies the gaps, and strengthens the signals behind your AI visibility.

AI recommendations are formed long before the answer appears.

Across thousands of sources, signals, and relationships, AI systems build a picture of who to trust. If your business isn’t clearly understood in this field, you won’t be recommended.

The gap is structural.

Here’s what we do about it.

Scan

You see the answer your market is already getting: which businesses come back when someone asks ChatGPT, Gemini, Perplexity, and Claude for what you do, and which sources each platform leans on.

Build

Your business becomes legible to those platforms, through the structured data and entity signals they read and content aligned to how people actually ask.

Track

Every month you know what the four platforms say when your market asks, and what moved. You see the same answer your next customer sees.

Steward

Your signals stay current as your market and the models move: we keep the entity and authority work live across all four platforms, and a new gap gets caught early.

For businesses built on reputation.

Law firmspersonal injury·family·criminal defense
Dental & medical practicesdentists·orthodontists·specialty clinics
Senior livingassisted living·memory care·continuing care
Home servicesHVAC·roofing·remodeling
Real estate & financial advisorsagents·brokerages·advisory firms

What the platforms read.

JSON-LD
Structured data

Organization, LocalBusiness, Person, Service, Review, and FAQ schema, configured so the platforms can parse what your business is and tell it apart from others with similar names.

disambiguation
Entity authority

The signals that tie your business to your location, your work, and the people behind it, so the platforms associate you with the right thing in the right place.

robots.txt · llms.txt
AI crawler access

robots.txt configured for the AI crawlers by name, GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and the rest, so the platforms are allowed to read you, plus an llms.txt profile for the platforms that adopt it.

language fit
Query-aligned content

Your content shaped to the language people actually use when they ask AI for a recommendation.

Built for the platforms people use now, and the ones coming: ChatGPT, Gemini, Perplexity, Claude, and beyond.

Your market is already asking.

Illustrative sample data, not Flaregraph clients. An answer surface cycling through how ChatGPT, Gemini, Perplexity, and Claude each render a recommendation, across five fields: ChatGPT on a Miami cosmetic dentist, Vireo Aesthetics; Gemini’s category taxonomy for Portland memory care, naming Harborlight Senior Living and Cedar Commons; Perplexity’s source-cited prose for Sacramento commercial HVAC, naming Sutter Ridge Mechanical and others; Claude’s cited-firms list for an Austin fee-only advisor, Ashford Wealth Partners and Marfa Creek Advisors; and Gemini again for Dallas estate planning, naming Calder and Wynn and Marrow and Vance.

Still not sureAI visibility mattersto your customers?

See what your favorite AI is showing them today. Start with what your customers ask:

recommend the top [your field] in [your city]?

Be the name AI recommends.

Already seen your gap? Schedule a consultation