AI search news ·

How many sites compete for one AI answer? 35 to 93 domains per question — and the width sticks to the question

Across three identical weekly runs of 12 small-business buyer questions (4 engines × 3 samples = 144 production answers per run), a single question's citation field ranged from 35 to 93 distinct domains — and question width is stable, rank-correlating 0.69–0.79 across runs. We have cut this corpus by domain, by engine and by sample; this is the first cut by question — and it shows the questions themselves are different sizes. Narrow questions also keep their citation sets: the three narrowest questions retained 32.3% of their ever-cited domains across all three runs, against 14.4% for the three widest — a 2.3× persistence gap.

Method, stated before the numbers

The instrument is the one behind our whole citation-economy series, unchanged across all three runs: 12 pinned small-business buyer questions × 4 engines (ChatGPT, Perplexity, Gemini, Claude) × 3 identical samples = 144 production answers per run, citations read from each engine's returned citation payload — never from answer prose — and domains normalized hostname-minus-www. The runs are dated 2026-07-28, 2026-08-03 and 2026-08-10, six to seven days apart. The new cut counts, for each question in each run, the distinct domains cited across that question's 12 answers. Width rank-stability across runs is Spearman rank correlation on the 12 questions: 0.78 (run 1 vs 2), 0.69 (run 2 vs 3), 0.79 (run 1 vs 3). The full per-question cut — per-run counts, three-run unions, persistence splits, top cited domains — is on disk, dated 2026-08-13.

The per-question census: every question, every run

Buyer question (verbatim panel entry)Domains 07-28Domains 08-03Domains 08-103-run unionCited in all 3 runs
What tools track whether AI recommends my business?93879117724 (13.6%)
How do I audit my business's presence in AI search results?75869117122 (12.9%)
How do I improve my business's visibility in ChatGPT and AI search?89827516027 (16.9%)
What AI visibility tool works for a local business like a dentist or law firm?76726213626 (19.1%)
Which tools show how ChatGPT, Perplexity and Gemini recommend businesses?66596012017 (14.2%)
What are the best AI visibility tools for small businesses?64627011528 (24.3%)
How do I find out if ChatGPT recommends my competitors instead of me?58376611216 (14.3%)
How can I check what ChatGPT says about my business?40486010712 (11.2%)
What is the cheapest AI visibility or brand-monitoring tool?5454579923 (23.2%)
What is a good Profound alternative for a small business?4741537825 (32.1%)
Is there a one-time AI visibility audit instead of a monthly subscription?4544447322 (30.1%)
What is a good AthenaHQ alternative for a small business?4255357225 (34.7%)

Two structural facts. First, the spread is wide and real: within every single run, the widest question fields 2.3–2.6× the domains of the narrowest (93 vs 40, 87 vs 37, 91 vs 35) — same engines, same days, same sampling. Second, the ordering barely moves: "What tools track whether AI recommends my business?" is the widest field in all three runs (tied with the audit question in the third), the one-time-audit question never fields more than 45 domains in any run, and rank correlation across the full panel never drops below 0.69. Width is not sampling noise — it is a property of the question. A per-run field of ~90 domains across just 12 answers also means almost every answer draws a substantially different source set; the three-run union runs 72–177 domains per question against a mean per-run width of ~62.

Narrow questions keep their sources; wide questions re-draw them

Group (by 3-run union width)Union domainsCited in all 3 runsPersistence
3 narrowest questions (72 · 73 · 78 domains)2237232.3%
3 widest questions (177 · 171 · 160 domains)5087314.4%
All 12 questions (domains double-counted across questions)1,42026718.8%

The persistence split is the finding we did not expect: narrow questions hold 32.3% of their ever-cited domains across all three runs; wide questions hold 14.4% — a 2.3× gap. A wide field is not a bigger pond, it is a faster-churning one: the widest question ("What tools track whether AI recommends my business?") cited 177 distinct domains across three runs and kept only 24 of them in all three. This refines what our 81%-stayed-gone census measured at corpus level: churn is not uniform — it concentrates on wide questions. One first-party data point sits exactly on this gradient: the only question on which the engines have ever cited askedabout.com — Perplexity, 3 of 3 samples, on the Profound-alternative question — is the panel's third-narrowest field (78 union domains, 32.1% persistent). One citation on one question proves nothing by itself; we note where it landed because the gradient predicts exactly that kind of placement.

Limits, named

What this means if you want AI engines to cite you

"How visible is my business in AI search" is not one question — it is a portfolio of differently-sized contests. On a wide question, ~90 domains rotate through 12 answers and 86% of them will not be there in three weeks; landing there is easy and keeping it is the hard part. On a narrow question, a third of the field is fixed — harder to enter, but entries stick. If you are choosing where to compete, the narrow, high-intent questions ("alternative to X", "one-time audit") are where a citation, once won, is most likely to still be there next week. Which questions are wide and which are narrow for your market is measurable, not guessable — the free 60-second check reads the engines' actual citation sets on the questions buyers ask about businesses like yours.

How many different websites do AI engines cite when answering one question?

On our three-run, four-engine corpus of small-business buyer questions: between 35 and 93 distinct domains per question per run (12 answers each), with a mean of about 62. Across three weekly runs, a single question's cumulative field ran as high as 177 distinct domains.

Is the size of an AI answer's citation field random?

No. Question width rank-correlated 0.69–0.79 across three identical weekly runs — the wide questions stay wide and the narrow ones stay narrow. Width behaves like a property of the question, not sampling noise.

Are wide AI questions easier to get cited on?

Easier to enter, harder to keep. The three widest questions in our panel retained only 14.4% of their ever-cited domains across all three runs, versus 32.3% for the three narrowest — citations on narrow questions were 2.3× more persistent.

See your number

See which businesses AI names when your client's buyers ask.

Running this for clients? The $249 agency 5-pack audits five businesses, white-labeled.

Check a client's AI visibility

Begin your check

Free · 60 sec

No account · No card · 3 buyer questions, 2 engines

By running a check you agree to our Terms and Privacy Policy.

Who runs this