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Research from saved AI answers

Research

Our public benchmarks now count saved answers directly. Each business gets a percentage: answers that name it divided by countable answers. Missing evidence is left out, never treated as a negative answer.

The current public snapshot was compiled on 29 September 2026. It covers 271 businesses in Australia, 134 in the United States and 105 in the United Kingdom. Different businesses have different questions, dates and answer counts, so these are observed results, not a controlled comparison.

What the data can tell you

The saved answers show which businesses appeared for the questions and engines checked. They do not establish the chance of being named for every possible buyer question, or prove that one website change caused a result.

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Earlier scoring research

Earlier articles compared weighted visibility and site-check scores. Those values were not percentages of answers and are not carried into the current benchmarks. The original records remain preserved; current pages use counted answers or state that no comparable count is available.

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Method: we count saved answers that name a business. Read the questions, engines, dates and answer counts alongside each percentage. Public benchmarks are dated research snapshots. Scan your own site free. Method open at github.com/techhorizonlabs/thl-open.

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