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Common public-path risk · Reservation and menu friction

Restaurants and Cafes

The menu, the hours, and the reservation or ordering link disagree, or take too long to load, so a visitor who was ready to reserve a table or place an order picks a competitor whose page loaded faster and matched what they searched for.

Public pages only. The $97 report comes after the result.

Public pages onlyInspect the method →
Sector surface map Public evidence
Generated sample photograph of a Revvye sector surface map. Live observation counts bind from the industry registry, not from this image.Sample method photograph
6documented observations
  1. 01
    SurfacePublic page and response
  2. 02
    ContextReservation and menu friction
  3. 03
    DecisionEvidence-backed next step
43 published rulesNo private analytics
Observation register · source-bound

What Revvye can inspect on this public path.

These are sector-specific observation prompts from the industry registry. Your result only includes signals the scan actually detects.

  1. 01

    Whether hours, location, and phone number match across the website, the local profile, and any delivery or reservation platforms.

  2. 02

    Whether the menu is readable on mobile without a slow PDF download or a broken embedded viewer.

  3. 03

    Whether the reservation or ordering link works on a real mobile device and survives a hard reload.

  4. 04

    Whether reviews mention specific dishes or the experience, not just a generic star count with no detail.

  5. 05

    Whether a visitor can tell, in one glance, whether the business is currently open and taking orders or reservations.

  6. 06

    Whether AI crawlers can read the menu and hours instead of hitting a PDF or an image that carries no text.

Public failure patterns

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.

  1. 01

    A menu that only exists as a scanned PDF, so a hungry visitor on a slow connection gives up waiting for it to load.

  2. 02

    Hours listed on the website that contradict the hours shown on the local map profile, with no way to tell which is current.

  3. 03

    A reservation widget that opens a blank screen on mobile Safari after working fine on desktop.

  4. 04

    Reviews that mention 'good food' with no dish named, making them indistinguishable from a competitor's reviews.

  5. 05

    An online ordering link buried at the bottom of the homepage instead of in the main navigation where a hungry visitor looks first.

Fix posture · after observation

A sequence for deciding what to change first.

This is a sector playbook, not a promised outcome. The detected evidence still determines whether any step belongs in the actual work order.

  1. 01

    Replace PDF menus with a real, readable web page version, and keep hours in sync everywhere they appear.

  2. 02

    Fix the mobile reservation or ordering path first. That is where a hungry, time-pressed visitor either converts or leaves.

  3. 03

    Encourage reviews that name specific dishes, since that is what differentiates you in a crowded local search result.

  4. 04

    Make the current open-or-closed status obvious at a glance, not something the visitor has to calculate from posted hours.

Published rule boundary

Sector context cannot invent a rule match.

The scan engine exposes 43 named public checks. Relevant rule definitions appear here only when the sector registry cites their real ids.

01CRAWLER_BLOCKED_BY_ROBOTS_TXT

AI crawler disallowed by robots.txt

Observes

robots.txt fetched from the domain root · per-bot Allow/Disallow evaluation via robots-parser · the matched robots.txt line number for the blocking rule

Does not measure

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.

02structured-data.localbusiness.incomplete

LocalBusiness schema missing required properties

Observes

presence of a LocalBusiness (or Restaurant/Store) node · required props: name, address, telephone (nested Offer flattened one level)

Does not measure

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.

03markup.viewport-missing

Missing viewport meta tag

Observes

<meta name="viewport"> presence

Does not measure

Checks the tag exists; the actual mobile rendering (overflow, CTA position) is graded by the mobile-experience worker checks.

Sector boundary questions

What the public scan can—and cannot—answer.

01Does Revvye check my third-party delivery app listings?

Revvye focuses on your owned public surfaces: your website and your primary local business profile. Third-party delivery marketplace listings are outside the current scan scope, though hours and menu mismatches often repeat there too.

02We don't take reservations, just walk-ins. Does the scan still help?

Yes. Revvye checks whether hours, location, and current open status are clear and consistent, which matters just as much for walk-in traffic as it does for reservations.

03What if my menu changes seasonally or daily?

The scan does not penalize a changing menu. It flags whether the menu format itself, PDF versus a real web page, is readable and current, regardless of how often the dishes change.

04Will a PDF menu ever show up in AI answers about what we serve?

Usually not in a useful way. A scanned PDF is slow for a hungry visitor and empty for a crawler. HTML menu pages with hours, location, and a working reservation or order link are what both people and machines can quote. Revvye flags the public format and crawl access. It does not scrape delivery apps.

Observe the path before prescribing the fix.

The sector pattern is context. Your URL supplies the evidence.Return to the scanner

Run this sector against your URL.

Public pages only. The $97 report comes after the result.