ContentGrapher
ContentGrapher

Research

Empirical studies on content structure and AI retrieval.

The findability studyPublished
June 202630 pages · 166 questions · 3 AI reading systems

When an idea gets its own page, does AI find the answer?

We took 30 real pages where ContentGrapher said an idea deserves its own page, built that page, and asked 166 real search questions against a matched look-alike control.

Key findingWith the recommended page in place, AI found the answer to 84% of the questions. Without it, 4%. The recommended page won 164 of 164 head-to-head comparisons.
Controlled trial3 embedding modelsBootstrapped CIs
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The decoy studyPublished
June 2026n = 40 pages

Does it matter which gap you fill?

A controlled test of structural completeness and AI retrieval across 40 third-party pages, with a decoy control arm.

Key findingOn pages with 5 or more flagged gaps, specific picks outperformed random structural addition by +11.2pp. On pages with 2 or fewer, no measurable difference.
Controlled trialChromaDB + OpenAIGPT-4o judge
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The agreement studyPublished
June 20268 models · 49 pages · 2 passes

Do AI models agree on what belongs on a page?

Eight models judged concept scope on the same 49 real pages, twice each, with a five-maker review panel checking the calls.

Key findingThe “belongs elsewhere” rate splits into three stable clusters, from 15.9% down to 1.9%, and the split does not follow the open-source versus closed divide.
8 models, 6 makersTest-retestFive-maker review panel
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