Kagi’s AI-Off Switch: A Controlled Search Comparison Protocol
Kagi lets users disable AI features in Search. This protocol holds account settings, queries, lenses, domain rules, and environment constant without inventing a result.
Research desk
Tests, protocols, observations, and evidence reviews for questions that cannot be answered responsibly with opinion alone.
From this desk
The featured page offers a strong introduction. The remaining cards help readers move through this editorial section without turning the archive into a service menu.
Read the featured method
Use a preregistered protocol to compare accessibility trees, HTML, rendered pages, and screenshots while keeping tasks and scoring consistent.
Latest research
Each article states the method, retained evidence, unresolved limits, and the boundary on what the result can establish.
Kagi lets users disable AI features in Search. This protocol holds account settings, queries, lenses, domain rules, and environment constant without inventing a result.
Official May–July data shows Product and Offer entering the 10M+ domain bucket in June and Article entering it in July, with important coverage limits.
OpenAI allows eligible users to publish ChatGPT Sites publicly, but public access is not proof of indexability. Use this controlled technical audit before reporting results.
Audit Brave’s 1,500-query AI answer comparison by examining query sampling, interface parity, LLM judges, pairwise order, ownership, and replication.
A dated audit of IndexNow’s public participant registry, linked metadata, and the difference between being listed and receiving real-time URL notifications.
A reproducible client matrix shows Node rejecting oversized response headers before HTML while curl still succeeds, even though the server returns HTTP 200.
Trace a search patent’s identity, family, legal status, claims, specification, and external implementation evidence before making a product or ranking claim.
Use a five-layer crosswalk to separate crawler access, eligibility, AI appearances, referrals, and on-site outcomes across Google, Bing, and ChatGPT.
Treat most small-site tests as structured observations: define one falsifiable question, save the baseline, change one material variable, log confounders, and prewrite the decision.
A useful standard
A useful study makes its conditions visible. Treat each result as evidence within a declared sample and environment, not as a universal platform rule.
The question, inputs, environment, measures, and stopping rule should be understandable before the result is interpreted.
Timeouts, absent results, rejected cases, and contradictory observations are data, not material to hide.
A measured association or one platform observation does not automatically establish causation or a permanent ranking rule.
References and next steps
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