AI Search Sources: Documented Access and Unknown Ranking Signals
Separate provider documentation from speculation about how assistants select sources.
SEO, AEO and GEO consultant · Technical SEO, local SEO and content strategy
Last reviewed October 31, 2026

SEO, AEO & GEO consultant based in Rangpur, Bangladesh. Technical SEO, local search and content strategy. Full bio →
Correction — 31 October 2026: unsupported testing, statistics and outcome claims from the earlier version are withdrawn. This is practical guidance, not a verified original study.
Start with documented behaviour
Read the provider’s current search and crawler documentation. Product features, search modes and access rules differ. Do not describe every assistant as using the same retrieval or ranking system.
Know what a visible source proves
A linked source shows that a URL was presented in that answer. It does not reveal the model’s internal scores, establish accuracy or prove a particular heading or schema caused its selection.
Maintain useful accessible pages
Answer relevant questions clearly, use genuine author information and cite appropriate evidence. Keep business facts consistent. Google’s AI-feature guidance recommends normal SEO fundamentals, not a special citation schema.
Measure your own panel
Record exact prompts, dates, modes and linked URLs. Report observations and limitations rather than universal selection rules. Unsupported five-to-tenfold effects and the claimed 200-prompt retest are withdrawn.
Sources and further reading
Frequently asked
No. It describes practical checks, not a validated outcome formula.
No supporting records are on file. Those claims are withdrawn rather than republished as verified evidence.
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