Map the evidence
Start with questions your audience needs answered and evidence you can publish responsibly. Distinguish original observations, external studies and your interpretation. Avoid claiming that a competitor is invisible without a dated comparison.
Explain the claim
Write a clear answer with enough context to preserve its meaning. Use readable headings, accurate identity facts and source links. Google does not require special AI markup, a fixed passage length or exact keyword variants.
Seek corroboration
Independent sources can help a reader check a claim. Earn relevant references through useful research and accurate contributions. No count of independent pages is established here as a citation-probability threshold.
Maintain useful sources
Keep canonical URLs, author information and substantive facts accurate. Update evidence when it changes. A quarterly review may suit your workflow, but it is not a training-inclusion requirement or universal freshness rule.
Observe the result
Measure mentions and citations separately for a dated prompt panel. Record the platform and setup, repeat observations and keep business outcomes distinct. A model’s output does not disclose its internal trust assessment or training history.
Sources and scope
Practitioner analysis by Fernando Angulo. Proposed examples are not measured outcomes.
Mike King / iPullRank: AI Search Manual
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