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Original study · v1.0

How Claude picks contractors

What 2,376 answers from Claude show about the contractors it names, the pages it cites, and how much the list changes when you ask again.

By Found ClearlyPublished October 29, 20266 min read

Found Clearly sells AI-visibility audits and plans.

Abstract

In October 2026 we asked Claude 9 buyer questions about 6 home service trades in 4 US metros: 2,376 answers in the main study. Most of the numbers here come from 864 of them, 36 for each city and trade. Asked the same question again, Claude named a partly different list: the two lists of companies overlapped by a median of 0.55 (Jaccard: the names in both lists divided by the names in either). Per city and trade it named a median of 43.5 different companies across 36 answers, and a median 29.7% of them came up only once. None of the 6,472 citations in those 864 answers was a Google Maps or Google Business Profile page. Of the citations to list pages, 66.6% went to pages published by directories and lead-generation sites, and 22.8% to pages on contractors' own websites. Across all 2,376 main-study answers, the companies Claude named often, in at least 25% of a city and trade's answers, showed a street address on their homepage more often than sites Claude's searches found but did not name: 88% vs 54%. That is a pattern, not a cause.

Key points

  • Ask twice, get a partly different list. When we asked the same question again, the two lists of companies overlapped by a median of 0.55 (648 pairs). The first 3 names held up better: 79% came back on a repeat, against 61% of the names below them.
  • A short core and a long tail. Per city and trade, the company Claude named most often was in a median 81.9% of the answers, the 10th in 22.2%, and a median 29.7% of all the companies it named came up in one answer only.
  • No Google links. None of Claude's 6,472 citations in 864 answers was a Google Maps or Business Profile page. Directories and platforms such as Yelp, Angi, Houzz and BBB made up at least 36.6%. This is about Claude's links and search results. Buyers on Google Search and Maps still see your Business Profile.
  • Directories are behind most of the list-page links Claude cites. Claude cited a page listing several local companies in 50.1% of the 864 answers. Of those citations, 66.6% went to pages from directories and lead-generation sites and 22.8% to pages on contractors' own websites. Of the 11 contractors that published list pages, 10 put their own company on the list.
  • What the sites of the companies Claude named often share: a street address on the homepage (88% vs 54% of sites Claude saw but did not name) and an Angi or HomeAdvisor profile (60% vs 33%). These are patterns, not causes.
  • “Near me” without a city: in 48 of 48 answers, Claude said it did not know where the buyer was. Put the city in the question.

Our data · Oct 2026 · Claude answers and company websites · Method →

When a homeowner asks Claude for a roofer or a remodeler, which companies come back? Where did Claude read about them? And would the same question, asked again, bring back the same list? We measured each of these on real buyer questions instead of guessing.

We used the unbranded buyer questions from our AI Visibility Benchmark for roofing, windows and doors, siding, bathroom remodeling, kitchen remodeling and foundation repair, in San Antonio, Kansas City, Indianapolis and Richmond. Claude could search the web while it answered. Each finding has its own short article below; the method and the limits are on this page.

Method

How we ran the study

Found Clearly sells AI-visibility audits and plans.

Questions and settings

We ran the study with Claude (Anthropic) in October 2026, outside the Claude app. Claude could search the web while it answered, and every question came with the same instructions. We wrote the protocol down before the first answer.

The questions were the 9 unbranded questions of our AI Visibility Benchmark, with the trade’s service and the city filled in:

  1. Who are the best {service} companies in {city}?
  2. I need {service} in {city}. Which local companies should I look at?
  3. Recommend three reliable {service} providers serving {city}.
  4. I need {service} in {city} this week. Give me three companies and one reason for each.
  5. Which {service} company in {city} would you call first, and why?
  6. Shortlist two {service} providers in {city} for a homeowner who cares about reliability over price.
  7. Which {service} companies in {city} offer same-day appointments?
  8. Who does {service} in {city} and is transparent about pricing?
  9. Which {service} providers near {city} are licensed and well reviewed?

The service was the trade’s own name, except for roofing (“roof replacement”), windows and doors (“window replacement”) and siding (“siding replacement”). The city was San Antonio, TX; Kansas City, MO; Indianapolis, IN; or Richmond, VA, written into the question and set as the buyer’s location for Claude’s searches.

That made 24 city and trade pairs and 2,748 answers in all, 2,376 of them in the main study, which put each question to Claude in more than one setup. Most of the numbers in the four articles come from the 864 answers of one setup: each question asked four times in each pair, 36 answers per pair. Where a number uses more of the main study, the article says so. The answers outside the main study tested other settings, locations and kinds of question; the 48 “near me” answers are among them.

How we counted companies

Claude read each answer and listed the organizations it names, with a type. Directories, manufacturers and media count as sources, not companies. Names were matched after removing case, LLC and Inc, punctuation and a trailing city name, and two spellings were joined only when they shared the company’s own website.

We checked that step by hand on a seeded sample of answers: 14 errors in 524 names (2.7%). An automatic check found 99 of 18,148 extracted names missing from the answer text (0.5%).

Overlap, links and list pages

Overlap is the Jaccard index of the companies two answers name; we report the median and the middle half of all pairs. A citation is one answer citing one page. Link groups come from a dictionary of known domains, and a page counts as a list page when it sits on a known list site or its address marks a list. Publishers of list pages were labeled by Claude and then checked by hand; the list-page figures use 6,471 citations because they also merge addresses that differ only by www, a trailing slash or tracking tags.

The website comparison

The two groups are described in What the websites of contractors Claude names have in common. The figures come from the homepage, read the same way in both groups. The rates are for each group as a whole; the last column compares the two groups inside each city and trade pair, so a pair with more sites of one group cannot tilt it. A profile counts only when its page came back in the search results.

Names: an amendment

The study was planned as counts only. After we collected the answers, we decided to publish the names Claude gave most often, with the checks below.

  • Up to 10 names per city and trade, each named in at least 8 of the 36 answers behind the core-and-tail counts.
  • Local contractors only, including local offices and franchises of national brands. Marketplaces, directories and lead-generation sites are sources, not companies.
  • We checked each company on its own website or, where the site blocked our checker, on its BBB profile and other public listings: the name, city and trade match, and the business is open.
  • We read every sentence that names a company for tone. A company Claude mentioned mainly as a caution is left out.
  • The study’s other answers stay without names.

The lists are on who Claude names most often. They merge a few spellings the checks found to be one company, so their counts of different companies can sit slightly below the ones in the articles.

Corrections and removal

If a figure or a name is wrong, tell us through the contact page. We reply within 3 business days and fix a confirmed error within 7 days, and every change is dated in the log below.

Corrections log

  • : First version published.

What this cannot tell you

  • We asked Claude outside the Claude app. The app can answer differently: it may know where you are, remember earlier chats and use other settings.
  • Claude and the way it searches the web change over time, so read this as a snapshot of October 2026.
  • The study covers 4 metros and 6 home service trades. Other cities, trades and wordings can give other lists.
  • Link groups come from a dictionary of known domains. Pages from domains it does not know are counted as not sorted, so the other shares are lower bounds.
  • The website comparison shows patterns, not causes. Larger companies tend to have more of everything, some sites could not be read, and Google review counts were not measured.
  • We measured which companies Claude names and where it reads about them, not whether those companies do good work or whether the lists are right.
  • The core-and-tail counts and the hand check of list-page publishers were added after the answers were collected. They describe the data and test no hypothesis.

How to cite this

Found Clearly. "How Claude picks contractors", version 1.0. Published 2026-10-29. Data: Claude (Anthropic), October 2026.

The text and the figures on this page are under CC BY 4.0: quote, chart and republish them with credit to Found Clearly and a link to this page. That includes competitors.

Primary sources

FAQ

Related questions

Which companies did Claude name?

The counts in this study carry no names. The companies Claude named most often are on our named lists, one page per city: San Antonio, TX; Kansas City, MO; Indianapolis, IN; Richmond, VA. Each city's page holds a list per trade, with the number of answers that named each company.

How did you run the study?

In October 2026 we asked Claude, outside the Claude app, the 9 unbranded buyer questions of our AI Visibility Benchmark for 6 home service trades in 4 US metros, with the service and the city filled in. Claude could search the web while it answered. Most numbers come from 864 answers, each question asked four times in each city and trade. The method on this page lists the questions, how we counted companies and links, and the checks.

Can I use this data?

Yes. The text and the figures on this page and its four articles are under CC BY 4.0: quote, chart and republish them with credit to Found Clearly and a link to the page you used.

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