Hotel OTA Content Audit Checklist

An OTA content audit checks whether public factual information is complete, correctly scoped, and compatible with the hotel's approved record. It is not a rate-parity review, performance forecast, channel-contract review, or promise that identical wording will improve ranking. Keeping those tasks separate prevents the audit from expanding into questions it cannot answer.

Choose the properties, channels, languages, and fields in scope. Record why the audit is being run: a routine review, policy change, renovation, new channel launch, guest complaint, mapping change, or ownership transition. The reason determines urgency and which operational owners must approve corrections.

Use the current guest-facing page as evidence, not a cached internal assumption. Dashboards can show what was submitted; the audit asks what the traveler can actually see. Preserve inaccessible and partially rendered pages as explicit states rather than silently removing them from the result.

Create an approved record before judging any OTA. Each row needs a stable field name, current value, scope, responsible owner, effective date, review date, and supporting operational evidence. A brochure or another OTA is not automatically authoritative; use property operations, signed policies, configured services, and accountable owners.

Write atomic values instead of a single marketing paragraph. For breakfast, record availability, inclusion, price, hours, and relevant rate-plan conditions separately. For parking, separate availability, location, type, fee, reservation, and access. For pets, distinguish permission, species, size or quantity limits, advance approval, and fee. For arrival, separate check-in start, end, late-arrival process, and check-out time.

If the hotel does not yet have an approved answer, mark the source-of-truth row unresolved. Do not choose the value shown by the majority of OTAs. Multiple pages can repeat the same stale feed, while one manually maintained page may contain the current policy.

Many false conflicts come from comparing facts that apply at different levels. Expedia's content documentation distinguishes property-, room-, and rate-level information, while Google's lodging model separates property data, policies, services, and individual guest-unit attributes. These are examples of a broader operational rule: determine what the value applies to before comparing it.

A property may offer breakfast, while only selected rates include it. A room may have an accessible shower while the property has other accessibility features. A parking fee may apply to the garage while valet has a different fee. A pet policy may vary by room category. None of these differences can be evaluated safely after collapsing the scopes into a single yes/no value.

Add a needs-scope-review state whenever the page does not make the level clear. Resolve it by inspecting the room or rate details, current extranet configuration, and the approved internal record. Do not force an ambiguous value into match or conflict merely to finish the checklist.

For each OTA, record the canonical public URL, platform, access date and time, page area, exact wording, language, and whether the page loaded fully. Where a field appears in both a summary label and policy text, capture both. If they disagree on the same page, treat that as a finding rather than selecting the preferred version.

Avoid collecting more guest or hotel data than the audit requires. A field-level record and public URL are usually enough. Do not place credentials, reservation information, private contracts, or personal data in the evidence set. Screenshots can help escalation, but searchable text and a concise field record are easier to review and compare.

When a page is blocked, incomplete, localized unexpectedly, or missing a section, log the state. A failed source should remain visible in coverage and scoring. The absence of evidence is not a positive result, and one successfully read listing cannot establish cross-channel consistency.

A binary pass/fail column hides important differences. Use at least five states: match, conflict, missing, inaccessible, and needs scope review. Add unverified when the value was extracted but confidence is insufficient. Define these states once so different auditors reach compatible conclusions.

A match requires comparable evidence from at least two successfully accessed sources after safe normalization. A conflict requires two comparable values that genuinely disagree. Missing means the source loaded but the field was not found. Inaccessible means the source could not be evaluated. Needs scope review means the values may apply to different products or conditions.

MisMatchMaker currently compares public evidence for breakfast, pet policy, parking, check-in, and check-out across supported listings from Booking.com, Expedia, Hotels.com, Tripadvisor, and Agoda. Within those groups it evaluates specific structured values such as breakfast availability and inclusion, parking availability and price, pet permission and fees, and arrival or departure times when evidence is available.

The checker is a starting point, not the property's authority. Review the source coverage, original values, normalization, and confidence. Confirm every proposed correction against the approved internal record. If fewer than two reliable sources contain comparable evidence, do not describe the field as consistent.

• ✓Breakfast: availability, inclusion, price, hours, and rate-plan conditions.
• ✓Pets: allowed status, approval, species, limits, and fees.
• ✓Parking: availability, location, type, price, reservation, and access.
• ✓Check-in: start, end, late-arrival process, and local-time format.
• ✓Check-out: required time, conditional extensions, and local-time format.
• ✓Evidence: original wording, URL, access state, scope, and confidence.

A complete content audit extends beyond the current checker. Review identity and contact details, map location, property category, room names and identifiers, occupancy, beds, views, room amenities, accessibility, photos, descriptions, cancellation terms, child policies, taxes and fees, accepted payments, transport, sustainability claims, and temporary closures where they are relevant to the property.

Do not imply that an automated result covers these areas. Use a manual matrix with the same evidence states and scope discipline. General amenity lists often mix property facilities, room features, paid services, nearby facilities, and rate inclusions; split them before comparison. Images require their own review for subject, room mapping, date, rights, accuracy, and captions.

Cancellation policies, rates, inventory, and commercial terms belong to related but separate audits. They may change by stay date, booking date, market, currency, occupancy, and rate plan. MisMatchMaker is not a rate-shopping, channel-management, or reservation-testing product.

Not every wording difference deserves the same response. Prioritize facts a guest must act on before arrival, charges or restrictions that could create a surprise, and information affecting accessibility or the ability to use the booked product. A misleading parking fee, wrong pet prohibition, or incorrect check-in end time normally deserves faster investigation than harmless punctuation.

Priority is not proof of financial impact. Do not attach invented revenue values or ranking effects. Use a transparent internal scale based on guest consequence, legal or accessibility risk, breadth of exposure, and difficulty of correction. Record the reason so another reviewer can understand the decision.

• Urgent: a public instruction could prevent arrival, access, or use of the booked stay.
• High: a fee, prohibition, accessibility statement, or core facility is materially wrong.
• Medium: the factual offer is understandable but conditions or scope differ.
• Low: wording or formatting differs while the underlying fact remains compatible.
• Unknown: evidence is missing, blocked, or too ambiguous to assign impact.

Assign each finding to the system and owner that control it. Record the expected value, submitted value, submission time, affected channels, and evidence. If a channel receives content through an integration, confirm that the field is included in that connection before assuming an upstream change will propagate.

Reopen the guest-facing page after submission. Verify the exact field and its explanatory text, not just the general presence of a listing. If the value remains stale or is rejected, preserve the public evidence and any platform status, then escalate with a compact field-level packet.

Close a finding only when the public result is verified, deliberately accepted with a documented reason, or recorded as inaccessible with an owner and next review date. Keep the previous value in the change log. That history helps identify recurring manual overrides, unsupported mappings, and seasonal changes that need a stronger process.

Run an event-driven audit after renovations, policy changes, new services, fee changes, room remapping, rebranding, new-channel onboarding, integration changes, or repeated guest confusion. Add a routine review interval that the property can actually sustain. A smaller monthly review of high-consequence fields can be more reliable than an annual spreadsheet that nobody owns.

Track coverage and closure quality rather than celebrating the number of pages reviewed. Useful measures include the share of in-scope sources successfully accessed, findings with an accountable owner, corrections verified publicly, and repeat discrepancies by field. Traffic, ranking, and booking claims require separate evidence and should not be inferred from the audit.