Last updated: 5 September 2026
Public research on restaurants inside AI answers is almost entirely national and almost entirely American metro averages. Nothing covers the Colorado Front Range at the level an operator could act on. This index fills that gap. On 5 September 2026 we put 55 real diner questions to ChatGPT, Gemini and Google AI Overview across Denver, Boulder and Vail, and recorded 598 answers. Forty-five restaurants came up at least once, and every one was scored against that same 598-answer denominator. The finding worth remembering: unlike almost every dining market we track, this one has a default answer, and it is named in two of every five replies.
The numbers in brief
- Frasca Food and Wine is named in 39.63 percent of the 598 answers, roughly two in five.
- Tavernetta follows on 24.08 percent and Corrida on 16.89 percent.
- The median across the 45 restaurants that appeared at least once is 5.02 percent, far higher than most dining categories.
- No restaurant outside the published table clears 7.02 percent.
- OpenTable is opened in 21.40 percent of answers, and the Boulder destination site in 12.37 percent, ahead of Eater.
What we measured, and how
We track 55 questions phrased the way a diner types them. They cover Denver neighbourhoods, Boulder dining, Colorado and mountain dining, Italian food and wine, and occasions such as anniversaries, business dinners and group bookings. Every question carries a place anchor, a city, a neighbourhood, a street or a landmark. This matters more than it looks. Ask a model where to eat without naming a place and it will cheerfully answer for a different state, and the measurement then measures nothing.
The figures here are drawn from 598 answers recorded on 5 September 2026 across ChatGPT, Gemini and Google AI Overview. We record what the engine returns, not what it was asked to return.
Three measures, in plain words:
- How often AI names them: the share of the 598 answers in which the restaurant is named.
- Share of the answers: the restaurant's portion of all 3,017 mentions across every answer.
- Average position: where it tends to land in a list when named. Lower is better.
One methodological choice is worth stating plainly, because it changes the table. Restaurant groups are counted at venue level, never as a single combined row. A group running five rooms is measured as five restaurants. Rolling those rooms into one entry would let a group outscore an independent restaurant simply by having more addresses, which would tell you nothing useful about either. Every restaurant was measured against the same 598-answer denominator. No restaurant paid to be included, and the names here identify research subjects, not customers and not endorsements.
Who the engines actually name
| Rank | Restaurant | How often AI names them |
|---|---|---|
| 1 | Frasca Food and Wine | 39.63% |
| 2 | Tavernetta | 24.08% |
| 3 | Corrida | 16.89% |
| 4 | Barolo Grill | 14.38% |
| 5 | Flagstaff House | 13.88% |
| 6 | Oak at Fourteenth | 13.55% |
| 7 | Matsuhisa | 11.20% |
| 8 | Beckon | 9.53% |
| 9 | Bramble and Hare | 9.03% |
| 10 | Cozobi Fonda Fina | 8.53% |
| 11 | Sweet Basil | 8.36% |
| 12 | Blackbelly | 8.03% |
| 13 | Guard and Grace | 8.03% |
| 14 | Mercantile Dining and Provision | 7.36% |
| 15 | Restaurant Olivia | 7.02% |
Below the published table the field compresses hard. Across all 45 restaurants that appeared at least once the median is 5.02 percent. No restaurant outside the table clears 7.02 percent, and two sit exactly level with the last published place: The Wolfs Tailor and Basta both on 7.02 percent, with Rioja just behind on 6.86 percent. From there the scores fall away steadily into the low single digits.
The finding that matters more than the ranking
The stronger conclusion is not that Frasca Food and Wine leads. It is that a leader of this size exists at all.
In most dining categories we track, the most-named restaurant sits in the low single digits and the field is effectively undecided. Here the top name appears in nearly two of every five answers, and the top three between them shape most of the shortlists a Colorado diner will see. That is a concentrated category, and concentration cuts both ways. If you are the default, an engine has learned to reach for you and will keep doing so until the evidence underneath it changes. If you are not, you are not fighting a flat field, you are fighting an established habit.
The honest counterweight sits in the same number. Even the default answer is absent from 60 percent of the answers we recorded. Two in five is dominance by the standards of this category and still leaves the majority of questions going to somebody else. Concentration at the top does not mean the rest of the table is settled.
Named often, or named first
Frequency and prominence are different jobs, and the table hides that.
Sweet Basil in Vail is named in 8.36 percent of answers, eleventh on the list, yet it holds the best average position of any restaurant near the top at 1.8, and it is mentioned 2.44 times in every answer it appears in. Oak at Fourteenth is named more often, in 13.55 percent, but lands at an average position of 4.0 and is mentioned only 1.31 times per appearance. One makes more shortlists. The other, when it appears at all, is the name at the top of the list and gets repeated.
The mention counts also expose the multi-room mechanic. Frasca Food and Wine is mentioned 2.03 times per answer it appears in and Matsuhisa 2.12, because a restaurant that features in both a neighbourhood answer and a city-wide answer can be named twice inside one reply. If your restaurant appears often but only once per answer, you are on the list without being the recommendation.
That difference should change what you do next. If you appear often but low, more coverage will not help you much, because the engines already know you exist. What is missing is a reason to rank you first, which usually means fresher evidence and clearer, more specific pages about what you actually serve. If you appear rarely but high, the opposite holds. The engines rate you when they find you and simply do not find you often enough, so the work is coverage: getting into more of the pages in the retrieval table below. Diagnosing which of those two problems you have takes ten minutes and saves a season of wasted effort.
Where the answers come from
| Source | Type | Share of answers retrieved |
|---|---|---|
| opentable.com | Booking | 21.40% |
| tripadvisor.com | Booking | 15.72% |
| bouldercoloradousa.com | Destination marketing | 12.37% |
| eater.com | Editorial | 11.87% |
| yourboulder.com | Editorial | 9.53% |
| theinfatuation.com | Editorial | 9.20% |
| reddit.com | Community | 8.19% |
| restaurantsforkings.com | Editorial | 7.86% |
| boulderdowntown.com | Institutional | 7.02% |
| aboutboulder.com | Guide | 6.69% |
| michelin.com | Guide | 5.69% |
| 5280.com | Editorial | 5.35% |
| vail.com | Corporate | 3.01% |
| jamesbeard.org | Institutional | 0.84% |
Three things stand out.
First, this is a booking-led market, not an editorial-led one. OpenTable and Tripadvisor together are opened far more often than any publication. That is the reverse of what we see in larger metros, where national food editorial usually leads, and it means a thin or stale booking profile costs more here than it would elsewhere.
Second, local beats national. The Boulder destination marketing site is opened more often than Eater, and Your Boulder, Boulder Downtown and About Boulder together outweigh The Infatuation. National coverage is not what is deciding these answers. Colorado-specific pages are.
Third, James Beard is opened in under 1 percent of answers but is cited heavily whenever it is. That is the signature of a source the engines treat as authoritative rather than routine. Do not chase it as a traffic source; treat it as a credential that settles an argument, and make sure any award or nomination you actually hold is stated plainly on your own site where a model can read it.
What this report can and cannot tell you
These results are directional, not definitive. They describe one question set, three engines, one day.
Read that way, the data answers a bounded set of questions:
- Which Colorado restaurants the engines name without being prompted with a restaurant name.
- How concentrated this category is compared with other dining markets.
- Which source types the engines open when building a Colorado dining shortlist.
- How Boulder, Denver and Vail differ in how settled their answers are.
It cannot do several other things. It cannot show that being named more often produces more covers or more revenue. It cannot establish that any particular change caused any particular position. It cannot tell an individual operator they should appear in all 55 questions, because most restaurants have no business appearing in most of them. A Vail mountain restaurant has no claim on a question about a business lunch near Union Station.
So do not chase the table as a single blended score. Split it by the questions you could genuinely win, read the actual answers the engines give for those, and repair the weakest layer of evidence underneath them.
What this means if you run a restaurant in Colorado
If you are outside the top three, the concentration is the whole story. You are not competing in an open field, you are trying to interrupt a habit the engines have already formed. That is a harder job than it looks from a ranking table, and it is not won by publishing more pages on your own site. It is won by changing what the sources in the retrieval table say about you. Start with the two that lead: your OpenTable and Tripadvisor profiles, checked for accurate hours, current menus, correct cuisine tags and photographs that match the room you actually have. Our guide on how to get a restaurant recommended by ChatGPT sets out the order to work through.
If you are in Boulder specifically, the local-beats-national pattern is an unusual gift. Boulder Colorado USA, Your Boulder, Boulder Downtown and About Boulder are all opened more often than most national titles, and all four are far easier to get into than Eater. A correct, complete, current listing on your own city's destination site is free and takes an afternoon. That is not a marketing campaign, it is basic hygiene, and in this market it is worth more than it would be almost anywhere else.
If you run several rooms, treat each one as its own entity. Engines recommend places, not companies. Every room needs its own page, its own structured data and its own claimed listings, and in our experience it is the newest or least documented room that quietly falls out of the answers. We covered that pattern in how multi-site restaurant groups appear in AI search. It is also worth reading this table against a much flatter market: in our Texas dining index the leader manages under 6 percent, and in our UK restaurant index no brand appears in even one answer in seven. Colorado is the outlier, not the rule.
Sources
- Schmitdy category tracking, Colorado Front Range dining question set, 5 September 2026. The 598 answers, 55 questions and 45 named restaurants behind every figure in this report.
- Frasca Food and Wine, frascafoodandwine.com. Official site of the most-named restaurant in the index.
- Tavernetta, tavernettadenver.com. Official site, second in the published table.
- Corrida, corridaboulder.com. Official site, third in the published table.
- Barolo Grill, barologrilldenver.com. Official site, fourth in the published table.
- Flagstaff House, flagstaffhouse.com. Official site, fifth in the published table.
- Oak at Fourteenth, oakatfourteenth.com. Official site, sixth in the published table.
- Matsuhisa, matsuhisarestaurants.com. Official site, seventh in the published table.
- Beckon, beckondenver.com. Official site, eighth in the published table.
- Bramble and Hare, brambleandhare.com. Official site, ninth in the published table.
- Cozobi Fonda Fina, cozobi.com. Official site, tenth in the published table.
- Sweet Basil, sweetbasilvail.com. Official site, eleventh in the published table.
- Blackbelly, blackbelly.com. Official site, twelfth in the published table.
- Guard and Grace, guardandgrace.com. Official site, thirteenth in the published table.
- Mercantile Dining and Provision, mercantiledenver.com. Official site, fourteenth in the published table.
- Restaurant Olivia, oliviadenver.com. Official site, fifteenth in the published table.
- OpenTable, opentable.com. The most-retrieved source across the tracked answers.
- Tripadvisor, tripadvisor.com. Second most-retrieved source.
- Boulder Colorado USA, bouldercoloradousa.com. Most-retrieved destination marketing source.
- Eater, eater.com. Most-retrieved editorial source.
Every restaurant named in this report is a research subject. Inclusion is not an endorsement, and no restaurant paid to appear.
If you want to know which of these questions your own restaurant already shows up in, we can run the same measurement for your market.



