Cited Is Not Recommended: An AI Visibility Measurement Protocol
A preregistered method for measuring whether an entity is cited as evidence, explicitly recommended, merely mentioned, or absent in AI answers.
From this desk
Start with the most useful page
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
Compare page representations without changing the task
Use a preregistered protocol to compare accessibility trees, HTML, rendered pages, and screenshots while keeping tasks and scoring consistent.
Protocols
Plan the test before seeing the result
Declare the question, sample, environment, measures, exclusions, and stopping rule before interpretation begins.
Experiments
Change one material variable
Preserve the baseline, observation window, confounders, and decision rule so a result remains inspectable.
Evidence
Keep every claim close to support
Classify facts, observations, interpretations, recommendations, and opinions before drafting conclusions.
Latest research
Methods, tests, and evidence reviews
Each article states the method, retained evidence, unresolved limits, and the boundary on what the result can establish.
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August 2026 Google Ranking Volatility: Diagnose the Drop Without Inventing an Update
Google has not confirmed an August 2026 ranking update. Use this evidence-led incident card to test technical changes, demand, indexing, and Search Console patterns before changing the site.
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chat-latest Is a Moving Target: Freeze Model IDs for Reproducible Tests
OpenAI says chat-latest is regularly updated. Use a fixed model for regression tests and a complete run manifest when comparing current ChatGPT-aligned behavior.
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2026 Retrieval-Augmented Search Patents: A Claims-First Research Protocol
A claims-first protocol for searching USPTO, Espacenet, the European Patent Register, and WIPO PATENTSCOPE without confusing applications, families, grants, ownership, or legal status.
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Do AI Assistants Prefer Business Profiles, Websites or Directories for Local Recommendations?
A preregistered protocol for comparing local recommendation sources across ChatGPT Search, Google AI Mode and Maps, Bing or Copilot, and Perplexity.
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Cloudflare Content Format Insights: What AI Crawlers Request vs What Origins Serve
Cloudflare AI Crawl Control can compare requested content types with origin response formats. This protocol preserves requests, responses, bots, and time windows before interpretation.
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Mistral Search Toolkit: Evaluate Retrieval Before Blaming the LLM
Mistral Search Toolkit supports lexical, vector, and hybrid retrieval with reranking. Evaluate ingestion and retrieval before scoring the generated answer.
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Cloudflare Crawl-to-Referral Ratios: What the Metric Can and Cannot Prove
Cloudflare now exposes crawl-to-referral ratios by operator. The ratio measures request imbalance, not citation, training use, revenue, or causal value.
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Bing’s AI-Guided Image Search: A Publisher Testing Protocol
Bing announced an opt-in AI-guided image experience on US desktop. Use this protocol to test grouping, labels, sources, and publisher representation.
A useful standard
How to read SearchEngineAnswer research
A useful study makes its conditions visible. Treat each result as evidence within a declared sample and environment, not as a universal platform rule.
Method before conclusion
The question, inputs, environment, measures, and stopping rule should be understandable before the result is interpreted.
Failures stay in the record
Timeouts, absent results, rejected cases, and contradictory observations are data, not material to hide.
Limits remain visible
A measured association or one platform observation does not automatically establish causation or a permanent ranking rule.
References and next steps