How to Improve Hotel Listings Across OTAs

The phrase usually gets read as a marketing exercise — better photos, better copy, more persuasive wording. The larger and more tractable problem is accuracy: the details a guest reads before booking, and the gap between those details and how the property actually operates. That gap is what produces arrival disputes, negative reviews about things nobody promised, and staff time spent resolving expectations a listing created.

Accuracy is also the part you can verify. Whether a photograph performs is difficult to attribute; whether your listing says breakfast costs eighteen when the restaurant charges twenty-two is a fact you can check today. This guide covers the verifiable part, and treats presentation as a separate exercise with separate evidence.

The objective is a property whose public facts agree with each other and with the operation, and a process that keeps them agreeing as the property changes. Nothing here promises a ranking movement: platforms weigh many signals and do not publish a universal causal uplift for content accuracy.

Treat this as a loop rather than a project. A one-off clean-up degrades within a season, because the property keeps changing and each change reaches some channels and not others. The loop is what converts a clean-up into a standard.

Each step below has a deeper guide behind it. Use this page to decide what to do and in what order; use the child guides for the detail of each step.

Every later step depends on having an authority that is not an OTA. Without it, an audit can only tell you that two channels disagree, not which one is wrong — and teams resolve that by copying whichever listing they trust, which propagates errors rather than removing them.

The record needs more than a value. It needs an owner, because parking price, breakfast hours, and pet rules belong to different departments; a scope, because the same fact can apply at property, room, or rate-plan level; and an effective date, because a change made last Tuesday and a listing captured last Monday are not in conflict.

MisMatchMaker currently compares breakfast, pet policy, parking, check-in, check-out, cancellation, Wi-Fi, children and extra beds, fees and taxes, and core amenities. Those 24 fields are a reasonable minimum for the record; free-text descriptions, rates, and photo libraries sit outside the comparison and need their own review.

• Record the approved value, the owner, the scope, and the date it took effect.
• Keep fee, currency, restriction, and time-zone context with the value, not in a separate note.
• Distinguish property-level, room-level, and rate-plan-level facts explicitly.
• Store it somewhere the whole team can reach and edit, not in one person's spreadsheet.

Platforms hold operational facts in structured lodging fields covering services, policies, food and drink, parking, pets, and arrival details. Expedia's property content documentation likewise separates property-, room-, and rate-level content. Those fields are what filters, comparison modules, and summary panels read — which is why correcting a description while leaving the underlying field wrong changes what a guest reads in one place and not in the places that matter most.

Work in that order deliberately: set the structured value, then make the narrative copy compatible with it. A description must never contradict a structured policy field, because a guest who reads one and is charged according to the other has a legitimate complaint and the listing itself is the evidence against you.

Where a platform has no structured field for a fact, put it in the permitted policy text and use identical wording across channels. Identical wording is what makes the next audit mechanical rather than interpretive.

• Never use a description to contradict a structured policy field.
• Check whether a field is inherited from a connectivity provider before editing the extranet.
• Use identical wording across channels where only free text is available.
• Treat a missing public value as incomplete evidence, not as 'no'.

Scope errors are the most common source of findings that waste a team's time. Parking, breakfast, accessibility features, and most amenities can apply at property, room, or rate-plan level, and comparing a value captured at one scope against a value captured at another manufactures a conflict that does not exist.

Expedia's content reference lists and Google's lodging model both distinguish scopes explicitly, which is a useful confirmation that this is a property of the data model rather than an inconsistency in how you keep records. Record the scope in your source of truth and record it again when you capture evidence.

The practical test: before logging a conflict, ask whether the two values are describing the same thing. A breakfast-included rate plan and a room-only rate plan disagree about breakfast, and both are correct.

A successful save is not evidence that a public page changed. The edit may be queued, it may be overwritten on the next synchronisation from a channel manager or property management system, or the public page may be rendering a different value at a different scope. Each of those looks identical from inside the extranet.

Verify on the guest-facing page, and record the date each channel actually changed. That record is more valuable than it first appears: it becomes your own evidence of how long each platform normally takes, which is the only defensible basis for deciding that a change is genuinely stuck. There is no universal publication time to rely on instead.

Keep failures visible. A page that could not be read, or a source that returned nothing, is not a match — and an audit that quietly converts unavailable evidence into agreement is worse than no audit, because it produces false confidence.

• ✓Compare at least two reliably readable public sources before calling a field consistent.
• ✓Keep original public wording beside any normalised comparison value.
• ✓Record access failures and partial extraction rather than converting them into matches.
• ✓Log the date each channel's public page actually changed.
• ✓Re-check after the next channel-manager sync if a field has reverted before.

The loop should be triggered by operational change, not by a content calendar. The changes that matter are the ones a guest would notice: a policy revision, a fee introduced or withdrawn, a seasonal service change, a renovation that takes a facility offline, a new room type, or a rate plan being republished.

Attach the listing update to whatever process already handles those changes, so it happens as part of the decision rather than afterwards. A property that adds a listing check to its seasonal changeover will catch most drift automatically; one that schedules a quarterly content review will find the same problems three months late.

A periodic sweep is still worth running, because some drift has no trigger — a platform changes a field, a connectivity provider alters a mapping, or a value was simply never correct. Use the sweep to catch what the triggers miss, not as the primary mechanism.

• Trigger a check on policy changes, fee changes, seasonal changes, and new room types.
• Attach the check to the existing operational process rather than a separate calendar.
• Run a periodic sweep to catch untriggered drift.
• Re-run after any channel-manager or PMS configuration change.