Jacob Whitmore · Research on search and AII test how AI is changing the way we find things online.

Ask Google or ChatGPT a question today and you’ll often get a ready-made answer instead of a list of websites. So which sources does that answer trust? Does it tell you where its facts came from, or how old they are? I run small experiments to find out, publish all the data, and make predictions you can check me against.

Why it matters

Ten links are turning into one answer.

How search used to work

You got a list. You chose.

You typed a question, Google showed you ten websites, and you decided which one to believe.

How it works more and more

You get an answer. It chose.

An AI reads the web for you and writes one reply. It picks the sources, and you often never see them.

That affects everyone who looks things up. It decides which businesses get recommended, which writers and publishers get credit for their work, and whether the figures you’re given are out of date.

Most of what’s written about this is sales pitch or guesswork. I’d rather measure it, show the working, and let you check it.

What I’ve found

Four things I’ve found so far.

All research
  • Recommendations

    ChatGPT’s “best” depends on who it thinks you are.

    I asked ChatGPT and Gemini for the best accounting software in the UK. With no other detail, every answer named Xero and QuickBooks. When I said I was the finance director of a manufacturer with 250 staff, three of the four answers named none of the products from the first list.

    Why it mattersThere’s no single “top three” any more. Each person can get their own shortlist.

    Read the studyTested 9 Oct 2026

  • Out-of-date facts

    AI answers quote old figures as if they’re current.

    Asked what the “purple pound” (the spending power of disabled people) is worth, both AI tools that answered said £274bn. Neither mentioned it was an estimate from 2020. In a wider test, 7 of 40 answers to “right now” questions about UK figures didn’t say when the figure was from.

    Why it mattersIf an answer doesn’t say when a fact was true, you can’t tell whether it still is.

    Read the studyTested 9 Oct 2026

  • News and AI

    9 of the UK’s 10 biggest news sites block at least one AI robot.

    AI companies send automated programs, called crawlers, to read websites. Some collect pages to train AI. Others fetch a page when someone asks a question. Most big UK news sites block the training kind far more often than the kind that fetches pages for answers.

    Why it mattersPublishers are deciding who can use their journalism, and for what. I recheck all ten sites on the 2nd of every month.

    Read the studyMonthly since 2 Oct 2026

  • Statistics

    The AI search statistics everyone repeats don’t hold up.

    I traced the 32 statistics about AI search that appear most often in online roundups back to where they came from. None passed five basic checks: when it was measured, how many were measured, where, how, and whether the data is published. None was about the UK.

    Why it mattersCheck a figure before you repeat it. Here are the five questions to ask.

    Read the studyChecked 29 Oct 2026

Every study comes with the full data as a spreadsheet you can download. See all the research

How I work

Show the working.

The full method
  1. Test it

    I run each experiment myself, on a stated date, and say exactly what I did so anyone can repeat it.

  2. Publish it

    The answer goes in the first line. The full data goes up as a download, limits included.

  3. Predict

    I say what I think happens next, by when, and what would prove me wrong. All before the result is in.

  4. Get marked

    On the date, I check. Right or wrong, it goes on the scoreboard. Wrong calls stay up, in red.

Predictions

Called early, scored in public.

32 on the record · as of 30 Oct 2026 · Full list · Data ↓

Anyone can say where things are heading. I write each prediction down with a date and a test for right or wrong, before the result is in.

  • Open 32

None has been checked yet. The first, P37, is checked on 6 Nov 2026. Wrong calls stay up, marked in red. How scoring works

Latest writing

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Jacob Whitmore

Who’s behind this

I’m Jacob Whitmore. I’ve worked in SEO for around 12 years, in-house, at agencies and freelance. This site is where I test my own ideas about where search is going, in public.

More about me

Follow along.

New results go up on the 2nd of every month, and predictions get marked on their due dates. I post both on LinkedIn first.