Sample AI Revenue Readiness Report™
Harbor & Pine Bistro
Restaurant · 60 seats · reservations by phone · harborandpine.example
An AI assistant asked for 'a good seafood place near the harbor that takes reservations' could not confirm Harbor & Pine's cuisine, hours or how to book, so it was likely to recommend competitors with clearer data.
Before
31/100
After Get Found (illustrative)
79/100
AI Visibility
28→82
Business Understanding
45→85
Structured Data
10→90
Agent Discovery
5→80
Transaction Readiness
40→70
Payment Readiness
55→60
Findings & exact fixes
1. No structured business data
criticalWhat AI sees: AI systems cannot reliably confirm cuisine, address, hours, price range or that the restaurant takes reservations.
Exact fix: Add Restaurant JSON-LD to every page with address, geo, openingHours, servesCuisine, priceRange, acceptsReservations and menu URL.
{"@context":"https://schema.org","@type":"Restaurant","name":"Harbor & Pine Bistro","servesCuisine":["Seafood","Italian"],"priceRange":"$$","acceptsReservations":true,"openingHours":"Tu-Su 17:00-22:00","menu":"https://harborandpine.example/menu"}2. AI crawlers are blocked
criticalWhat AI sees: robots.txt disallows all bots except Googlebot, so GPTBot, ClaudeBot and PerplexityBot cannot read the site at all.
Exact fix: Rewrite robots.txt to allow AI search and assistant crawlers and link the sitemap.
User-agent: GPTBot Allow: / User-agent: ClaudeBot Allow: / User-agent: PerplexityBot Allow: / Sitemap: https://harborandpine.example/sitemap.xml
3. Menu is an image-only PDF
highWhat AI sees: Dishes, dietary options and prices are invisible to AI because they exist only as pixels in a PDF.
Exact fix: Publish an HTML menu page with Menu, MenuSection and MenuItem markup including prices and dietary labels.
4. No llms.txt
highWhat AI sees: There is no plain-language summary an AI model can read in one request.
Exact fix: Publish /llms.txt with the restaurant's summary, hours, booking link, menu link and policies.
# Harbor & Pine Bistro > Seafood & Italian bistro on the harbor. Tue–Sun 5–10pm. Reservations online. - [Menu](https://harborandpine.example/menu) - [Book a table](https://harborandpine.example/reserve)
5. Booking only by phone
highWhat AI sees: No machine-readable way to check availability or request a table, so an agent cannot complete the booking.
Exact fix: Connect the existing reservation platform and expose it with a ReserveAction in the schema. Whether an AI agent can complete the booking depends on that platform's integrations.
6. Hours conflict across sources
mediumWhat AI sees: Website says closed Mondays; business listing says open, so AI systems treat the hours as unreliable.
Exact fix: Align hours on the website, schema and business listings, and add holiday hours.
7. Policies are hard to find
mediumWhat AI sees: Deposit, cancellation and allergy policies are buried in a footer image.
Exact fix: Publish a plain-text policies page and reference it in the schema and llms.txt.
What the owner receives with Get Found — $2,997 setup + $297/month
- AI Revenue Readiness Audit
- AEO/GEO audit + remediation
- Machine-readable business identity
- Structured services & product information
- Pricing & policy clarity
- Schema.org implementation
- FAQ optimization & direct-answer content
- Sitemap, robots & crawler remediation
- AgenticReady Manifest
- Before-and-after scoring + QA
- Monthly monitoring & readiness report
- Join Group Calls — 4+ hours a month virtually for consultancy on AI and the moves you should be making
Score improvements are measured, not promised as rankings. See AI visibility vs. AI transactions.