Sample method photograph- 01SurfacePublic page and response
- 02ContextBooking and policy friction
- 03DecisionEvidence-backed next step
The booking flow, the calendar, and the actual availability disagree, and the trust signals a nervous traveler needs before prepaying are missing or buried. A visitor who was ready to book hits a stale calendar, an unclear cancellation policy, or a third-party booking widget that fails on mobile, and goes back to comparing options instead.
Public pages only. The $97 report comes after the result.
Sample method photographThese are sector-specific observation prompts from the industry registry. Your result only includes signals the scan actually detects.
Whether the booking or inquiry path is visible and functional on a real mobile device, not just desktop.
Whether the cancellation, refund, and deposit policy is stated in plain language before a visitor is asked to pay.
Whether photos, reviews, and availability actually match what is being booked, not a generic stock gallery.
Whether a third-party booking widget survives a hard reload and returns a real confirmation, not a blank screen.
Whether reviews mention the specific property, trip, or experience being booked, not a chain-wide aggregate score.
Whether AI crawlers and answer engines can read the property or itinerary pages, not just a marketing homepage.
Described. Not claimed.
These are documented sector patterns, not customer findings. A scan must observe the signal on your URL before it becomes part of your result.
A booking widget that shows available dates on desktop but fails to render or freezes on a phone.
No visible cancellation or deposit policy until after payment information has already been entered.
A photo gallery of a property or destination that could be any property in the category, with no specific detail shown.
Reviews aggregated at the brand level with no way to tell whether they describe the specific location or trip being considered.
An inquiry form for a custom trip or event that returns no confirmation and states no expected response time.
This is a sector playbook, not a promised outcome. The detected evidence still determines whether any step belongs in the actual work order.
Fix the mobile booking path first. Most last-minute and comparison-shopping traffic books from a phone.
State the cancellation and deposit policy before the payment step, not after.
Replace generic stock imagery with real, specific photos of what is actually being booked.
Tie reviews to the specific property, room type, or trip, not a brand-wide average.
The scan engine exposes 43 named public checks. Relevant rule definitions appear here only when the sector registry cites their real ids.
CRAWLER_BLOCKED_BY_ROBOTS_TXTrobots.txt fetched from the domain root · per-bot Allow/Disallow evaluation via robots-parser · the matched robots.txt line number for the blocking rule
Detects only what robots.txt declares for the named bots Revvye tracks; it does not verify whether the engine actually honored the rule, nor whether the bot was blocked by a firewall/WAF the scanner cannot see.
structured-data.localbusiness.incompletepresence of a LocalBusiness (or Restaurant/Store) node · required props: name, address, telephone (nested Offer flattened one level)
Checks for the required properties' presence, not their accuracy; it cannot verify the phone number or address is correct or matches your Google Business Profile.
markup.viewport-missing<meta name="viewport"> presence
Checks the tag exists; the actual mobile rendering (overflow, CTA position) is graded by the mobile-experience worker checks.
No. Revvye does not connect to your reservation system or inventory. It evaluates whether the public booking path is visible, functional, and trustworthy to a stranger, independent of what inventory is currently open.
Yes. Revvye evaluates the path a visitor actually follows, including handoffs to third-party widgets. A broken or slow third-party booking embed is exactly the kind of leak this scan is built to catch.
The scan still applies. Repeat guests still check the calendar and the policy page before rebooking, and a broken mobile path costs you their next stay just as easily as a first-time visitor's.
You need indexable pages that state the property, the booking path, and the policies a guest has to accept before paying. Lodging or LocalBusiness markup helps when it matches the visible page. Google's AI features still start from Search. Revvye checks crawl access, schema completeness, and whether the booking URL is a real public path rather than an iframe-only dead end. It does not sell OTA placement.
Observe the path before prescribing the fix.
Run this sector against your URL.
Public pages only. The $97 report comes after the result.