Block 05 · AI Visibility / Citability Scanner · canonical demo

Does ChatGPT recommend your business?

When a customer asks ChatGPT / Claude / Perplexity / Gemini for "best AC repair company in Miami", four AI models look across the web and pick a small set of businesses to name. Most local businesses score 20-40 out of 100. Your competitors score 70+.

Your score
28
of 100 · cited in 0 of 4 LLMs
vs
Cooling Pros (top competitor)
72
of 100 · cited in 3 of 4 LLMs
Try the live scanner Scan your business in 90 seconds → cafecito-ai.com/boostai · email-gated · full report + 14-day follow-up

How it works

We run the same query a customer would ask, against the four AI models that drive 60%+ of new local-business discovery. We measure: citation rate, sentiment, ranking position, source authority. Out comes a score + a specific rewrite plan.

What you fix

Schema.org markup, knowledge-graph entity claims, About-page clarity, NAP consistency, third-party citations, llms.txt. Most fixes take 1 hour. Score moves 15-25 points in the first 30 days.

What it costs

$1,000 setup · $250/mo for monthly delta tracking + automated fixes. ROI: most businesses recover the year-1 fee from a single LLM-recommended sale.

How to sell this block

  1. Scan first. Send the prospect THEIR score before any pitch. They will read it.
  2. Scan their competitor. Side-by-side compare. The number is the entire argument.
  3. Show the 30-day delta forecast. Three weeks of fixes typically move a 28 → a 55. That's measurable. Sales-friendly.
  4. Close on monthly. AI citation drift is real — quarterly recheck or you lose ground. $250/mo is the monitoring + the fixes.

Deploy a scan for your prospect

Sales runs /cafecito-blocks:scan <prospect-slug> and gets back: a pre-run citability report + competitor comparison + 30-day forecast + cold-pitch email that links the report.

Read the playbook GitHub mirror Live BoostAI scanner →