// ORIGINAL_RESEARCH · AUGUST_2026

The AI Citation Study, August 2026

For one full month we recorded every source that ChatGPT, Google AI Overview and Perplexity used to answer real business questions. Not a sample of the web. Every answer, every day, for 31 days.

89

questions tracked

6,601

AI answers recorded

61,536

sources quoted

9,702

pages crawled and stored

31

consecutive days

Why these 89 questions

Most research into AI search starts by inventing questions, then reports what AI says about them. The questions get chosen because they are easy to gather, not because anyone needed the answer.

We started from the opposite end. Every question here was agreed with a chief executive or business owner as one their company genuinely needs to monitor, because the answer decides whether a buyer shortlists them or never hears of them. They come from business software categories and run the length of the buying journey.

That makes this a smaller set than a scrape of thousands of keywords, and a far more serious one.

How the data was collected

Each question was put to all three engines every day for the whole of August 2026. We stored the complete answer along with every source the engine quoted, producing 6,601 answers and 61,536 citations.

We then visited all 9,702 unique pages that had been quoted and kept a copy of each one exactly as the server delivered it, so we could examine what was on the page rather than guess from the link.

Because every question repeated daily for a month, we can see something a single snapshot cannot: which sources an engine returns to again and again, and which appear once and vanish.

The ten findings

Grouped by the part of the business they affect. Each is written for a decision maker, not a specialist.

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How to read these findings

These findings describe what AI genuinely quotes, at scale, every day, for a month. That is not the same as proving what causes any single citation. What it gives you is a clear picture of what quoted pages have in common and what ignored pages do not, which is the practical foundation for understanding why a page gets chosen and what to change about your own.

Every brand in these articles is anonymised. Numbers, methods and sample sizes are published in full so the work can be checked.

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