Competitive set
Your destination scored beside the competitors your board already names, on the same rubric and the same prompt set.
Your score is one half of the story. The other half is context: who AI names alongside you, who it names instead of you, and how that answer changes by origin market, season, and visitor intent.
Your destination scored beside the competitors your board already names, on the same rubric and the same prompt set.
The same question asked from Dallas and from Chicago gets different answers. We measure the variation by origin market.
Shoulder season, peak, and event windows each pull different recommendations. Track how the answer moves through the year, and what a campaign left behind.
Families, couples, outdoor, culinary, and business travel each surface a different shortlist. See where you win and where you are missing.
Which publications and pages the assistants pull from when they describe your destination, and which of your competitors own the sources you are absent from.
YouTube and TikTok results for the questions visitors ask. Whether you are named in the title, description, hashtags, or transcript, and which creators own the subject.
Backlink authority, referring publications, and top anchors. The earned coverage AI reads before it answers, and where your comp set is out-earning you.
What your category talks about, what your destination is absent from, and whether the pillars you claim actually show up in the answers.
Feeder markets start with the origin data your board already reports. We localize the prompt set to each one, then read the shortlist that comes back: who is named, in what order, and which sources the answer leaned on. Atlanta puts this sample destination first. Denver never names it at all.
Origin markets
Pick a market to read the answer a visitor gets from there. Pinch or scroll to zoom, drag to pan.
Dot size is share of visitation. Orange means absent from the answer entirely.
Direct flights, 2h 10m · 24% of visitation
ChatGPT, verbatim
For a long weekend on the coast from Dallas, Harborlight is an easy nonstop and the quietest of the options — empty beaches, a working harbor, and a walkable downtown. Gulf Shores is closer to the direct-flight crowd if you want more nightlife.
Shortlist order
What pulled the answer
We start with the origin markets your board already reports: visitor data, air service, and the media buy. Usually five to eight.
The same prompts run with origin context, so the assistant reasons about drive time, flights, and season the way a visitor from there would.
For each market we record who is named, in what order, and which sources the answer cites to get there.
Rank and mention rate per market, tracked monthly against the variance band, with the comp set on the same board.
Sample destination and figures for illustration. Real boards carry your origin markets, your comp set, and the citations behind every answer.
Whether AI puts you in the consideration set at all.
Whether the details it offers are current and true.
Whether you're ranked ahead of your competitive set.
Every year we run the same methodology across a national field of United States destinations and publish what we find. It is the reference point the category has been missing, and it is the reason a single score means something outside your own trend line.
The client-facing byproduct of the Index. Your score sits next to the average for destinations like yours, not against a national number that includes markets nothing like your own.
When a board member asks whether 61 is good, the answer is a published benchmark with a stated method, not an opinion.
We'll run your competitive set live in the demo and show you the gap, question by question.
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