
AI Visibility Sample Size: How Many Prompts and Runs
How many prompts and daily runs AI visibility tracking needs before a trend is real, measured with paired same-model runs minutes apart.
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cloro's own data studies: measurements we ran, with the method and the sample stated.

How many prompts and daily runs AI visibility tracking needs before a trend is real, measured with paired same-model runs minutes apart.

LinkedIn is widely described as the second most cited domain in AI search. On a fixed set of 116 prompts run monthly across four AI engines, its share of answers fell from 13.8% in February 2026 to 4.8% in July. Articles carry almost all of what remains, and company pages almost none of it.

Ask an AI assistant the same local question from California and from New York and you can get two completely different sets of recommended businesses. We measured how much AI answers change by US state across ChatGPT, Copilot, Gemini, Perplexity, and Google AI Mode.

Ads in ChatGPT are served in `result.ads[]`, but the interface shows at most one. We worked out which served ad renders across 3M+ responses: the exposure rate, re-emitted ads, and the later-slot selection rule.

AI engines cite a source on 91% of 'best X' answers but only 81% of definitions. That 10-point swing is driven by query intent, not subject. Across eight verticals citation presence stays in a tight 82–88% band. If you want to be cited, the shape of the question you answer matters more than the industry you're in.

Across six AI engines and six verticals, citation depth varies ~20×: Google AI Mode averages 15–22 sources per answer, ChatGPT/Gemini/Copilot land around 4–8, and Perplexity ranges from ~4 down to literally zero depending on the topic. Reddit sits top-2 in every vertical. AI Overview decides whether to answer at all: it triggers on 98% of shopping queries and 3% of dining.

Grounding is when an AI engine answers from live web results instead of training memory. We measured it across six engines on ~2,500 prompts each. Five ground 91–98% of the time, and one, Gemini, grounds just 41%.
The same keyword ranks differently in every city. Here is how much local rankings vary by geography, why the map pack changes week to week, and how to check Google Maps rankings programmatically across a city grid.

cloro read 60 live SERPs: AI Overviews hit 100% of B2B/SaaS queries vs 10% of B2C. How to do B2B keyword research with SERP signals, not unreliable volume.