When someone asks ChatGPT “best place to stay in Sedona”, whose name comes up?

How findloc.ai works

Three steps · public data + paid tracking

1. 1

   We probe 4 AI engines weekly

   Every Sunday night, for each (city × industry) market we cover, we send 15 real customer queries through ChatGPT, Claude, Perplexity and Gemini.

   Queries are hand-curated by intent (family · group · budget · location · romantic · unique · business · amenity · road trip). The full prompt list is part of our IP — Agency-tier subscribers get to see and customise it.

2. 2

   We publish who gets cited

   For each market we publish an AI Report showing every business AI engines named, ranked by cross-engine consensus. Free for anyone to read. Each engine’s verbatim answer is on the page — you can verify every claim.

   See one live: /ai-visibility/us/sedona/airbnb — top 3 Sedona Airbnbs by AI consensus + per-engine breakdown + AI’s exact words.
3. 3

   You claim your business → weekly tracking + AI suggestions

   Claim your business (free) and we automatically check every relevant AI Report for your rank. Subscribe to Pro ($49/mo) and every Monday morning you get an email: where you rank, which engines mention you, who’s climbing, and AI-generated improvement suggestions based on what the AI engines said about competitors that beat you.

But wait — what’s GEO, in plain English?

When ChatGPT (or Claude, Perplexity, Gemini) answers a question, it doesn’t just look at one website. It checks multiple signals and picks businesses that show up consistently across them. For a hotel in Boston, the AI is checking:

A business that “wins” in AI answers has 5-6 sources all aligned — same name, address, phone; consistent description; structured data on the website. That’s GEO. The improvement suggestions in Pro tell you specifically which of these you’re missing.

What you get at each tier

See full pricing →

The findloc GEO Engine: 7 dimensions, evidence-anchored

We measure your AI visibility across 7 independent dimensions, weight them deliberately (content + citation + competitor gap dominate; vertical-specific signals stay small), and recommend changes grounded in academic research — not LLM intuition.

Our content-density scoring rule directly encodes these findings. When you see a suggestion that says “Add a guest quote — Princeton measured +41% citation lift”, we’re not making that up.

Full methodology: findloc.ai/method — the 7 dimensions, the formulas, the evidence base, the open questions.

Why we publish the raw AI answers (and most tools don’t)

• No black-box scores. Other “AI visibility” tools give you a 0-100 number with no way to verify it. Ours shows ChatGPT’s exact answer next to the score, so you can read for yourself why your competitor was named and you weren’t.
• Public reports beat private dashboards. If only the buyer can see the data, no one can challenge it. By publishing the AI Reports, the entire market can see what AI thinks. We get critiqued fast when we get something wrong — and that’s the whole point.
• The prompts ARE the IP. We hide the full prompt list (Agency tier sees it) because that’s our defensible differentiation — anyone can call an AI API; few can pick the 15 prompts that actually map to how guests search.

Why agencies charge $5,000+ for $500 of work

Nothing against agencies — we just believe in transparent pricing. A typical $4,000–7,000/year “AI optimisation” package usually breaks down like this:

Real cost of delivery: ~$1,000–1,800. They charge $4,000–7,000 because most clients can’t evaluate what they got. Pro at $588/year does the same job with verifiable data.