Omni Impact

Omni Impact for travel & hospitality

Be the stay the model recommends.

Trip planning moved into the chat window. When a traveler asks for the best boutique hotel in your city, Omni Impact tells you whether the answer is you — and what to publish when it is not.

1 in 3

travelers now use an AI assistant to plan a trip.

The itinerary, the shortlist and the booking advice increasingly come from one generated answer instead of ten blue links. Properties that answer engines can retrieve, parse and trust get named in that answer; the rest are invisible at the exact moment a traveler decides. The gap is measurable — and closable.

Industry research on AI trip planning. Not an Omni Impact benchmark.

What teams achieve

What travel brands achieve with Omni Impact.

From city-break prompts to comparison questions, the whole journey is monitored, measured and improved.

01

Own the discovery question

Travelers ask by neighborhood, season and style — never by your brand name. Your question set mirrors how they actually ask, so you see the answers that decide bookings before your competitors do.

02

Control the description

Every answer is read for sentiment and framing: boutique or budget, romantic or business, recommended or merely mentioned. When the models get your property wrong, you see it on the next scheduled run.

03

Fix the source, not the symptom

Answers lean on guides, review sites and your own pages. Omni Impact shows which sources the models actually cite for your market and generates the schema and content fixes that earn the citation.

On the platform

The loop, tuned for hospitality.

The same instrument — monitoring, measurement, ranked fixes — pointed at the questions travelers ask.

Monitor

Every trip-planning question, on a schedule.

Your buyers’ real questions — best-of lists, comparisons, seasonal picks — run through ChatGPT, Google AI Overviews, AI Mode and more with your brand name left out of every organic prompt. What comes back is the answer each engine gives when your brand is not in the question.

  • Up to 11 AI engines, including ChatGPT, Google AI Overviews and AI Mode
  • Organic share of voice — prompts that name you are excluded
  • Mention tiers from top pick down to not mentioned
See how monitoring works

Improve

Fixes that land on your booking pages.

Findings can become generated fixes — FAQ schema for your property pages, answer-shaped content for your neighborhood guides — publishable to WordPress, Wix, Duda and more.

  • 29-signal website audit against the AEO playbook
  • Generated JSON-LD and content, matched to your stack
  • Two-step confirmation on every publish; updates can be reverted on self-hosted WordPress and GitHub
See how fixes ship

Questions

Travel & hospitality, answered.

The models are the surface we execute against — and their answers routinely lean on guides, OTAs and review sites as sources. Source influence shows which domains the models retrieved and cited for your market, so you can see exactly which third-party pages are speaking for you.

Each self-serve plan tracks one brand end-to-end. Teams managing multiple properties get isolated client workspaces and a portfolio view on Enterprise — talk to us.

The crawl and the 29-signal audit finish in the first session, so ranked fixes exist on day one. Share of voice and mention tiers fill in as the first execution cycle completes across the models on your plan.

Be the answer.

Add your property’s domain — the first analysis runs today.

Get started