Research question: what share of Denver firms have the structured data AI relies on, and does having it decide who gets named?
The reassuring news first: almost every Denver firm already lets AI crawlers in and serves pages AI can read. The technical basics are largely done. But the firm doing everything right on-site is not necessarily the firm AI names, and one firm that blocks AI crawlers entirely is still among the most-recommended in the city. This is what technical readiness does, and does not, decide.
For each firm we read its robots and llms files to see which AI crawlers it allows, detected whether pages are built on the server or in the browser, and inventoried the structured data (schema) present by type: the markup that tells AI “this is a law firm, these are its attorneys, this is its rating.” We recorded each as present or absent, then compared those signals against each firm’s actual AI visibility from the rest of the study.
Why rendering and crawler access matter. If a site is built entirely in the browser, or blocks AI crawlers in its robots file, an AI reading the page directly may see little or nothing. These are the most basic requirements for being readable at all, which is exactly why it is worth knowing how many firms already meet them.
Split the technical signals into two groups and the picture is clear. The readable basics, at the top, are done almost everywhere, so they cannot explain who wins. The specific, trust-bearing markup, below, is missing on almost every site, a real gap, though as Study 03 showed, closing it did not by itself move visibility.
If technical readiness decided visibility, the firms with clean rendering, open crawlers, and full markup would top the list, and the firms missing those things would be invisible. The study found the opposite often enough to matter. Two firms tell the story.
McDivitt tells its robots file to keep AI crawlers out, and AI recommends it anyway, in a quarter of its own queries. That is only possible because AI learned the firm somewhere other than its website: from directories, reviews, and coverage across the web. Meanwhile Kanner & Pintaluga does the on-site work correctly and is named in none of its queries. The same pattern runs through Study 03, where a firm with zero schema markup, Burg Simpson, sat inside the ten most-visible firms.
For most Denver firms the technical basics are already handled, which is genuinely good news and worth confirming. But because nearly everyone clears that floor, it cannot be what separates the named from the ignored. And even the trust markup almost nobody has did not, on its own, predict visibility. The signal AI weighs most is not on the website at all. It is the firm’s presence across the sources AI reads.
One number frames the whole opportunity. No firm in the study, however well built, was named in more than 38% of its own core-practice queries. Four firms were named in zero of theirs. The Denver market is not one where a few firms have locked everything down and everyone else is shut out. It is a market where the leaders are present in a minority of answers and there is open room in the majority. The technical floor is not the barrier. Being the answer AI trusts, across the web, is the work that remains.
Make sure your robots and llms files allow AI crawlers, and that pages render on the server so AI can read them. This is quick, it is correct, and most firms already pass. Do it and move on.
LegalService, Attorney, and Review schema are worth adding because they are correct and cheap, not because they are a growth lever. Expect them to make you eligible and readable, not to lift you up the list on their own.
Almost nobody has the full trust markup, so a vendor can truthfully say you are “behind” on it. That is real, and it is also not what decides visibility. Treat markup as hygiene and spend the strategy budget where the signal actually is.
The firms AI names are the firms AI encounters across directories, reviews, and third-party coverage. Once the site is readable, the next unit of effort belongs there, not in another round of on-page markup.
Our audit confirms the technical basics and shows exactly which trust signals you have, which you are missing, and where AI names someone else instead of you. Run your firm’s audit.
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