100 guides · Page 3 of 6
AI Search
AI answer engines do not behave like search engines, and the differences are measurable. Across 90 AEOeye audits the same brand was named by Claude in 31% of buyer questions but by Google AI Overviews in only 2% — checking one engine tells you very little.
How to read this section
- 1How each engine sources its answer: live retrieval, training memory, or a blend.
- 2Why the same question returns different brands on different engines.
- 3What causes an answer to change run-to-run, and how to tell drift from a real improvement.
AI Search
AI Citation URL Normalization Rules: Deduplicate Sources Without Losing Evidence
A deterministic, evidence-preserving method for comparing AI citations, redirects, canonical links, mirrors, syndication, and archive snapshots.
Sep 7, 2026 · 9 min read
AI Search
AI Citation Freshness Metrics: Age, Lag, and Update Responsiveness
A practical glossary of AI citation freshness metrics, including source age, evidence lag, stale-citation rate, and update responsiveness.
Sep 7, 2026 · 8 min read
AI Search
AI Citation Data Schema: A Field Dictionary for Auditable Studies
A vendor-neutral field dictionary and copyable CSV and JSON schema for recording AI search citation evidence, claims, reviews, and uncertainty.
Sep 7, 2026 · 9 min read
AI Search
AI Brand Recommendation Annotation Codebook: Labels and Examples
A practical, reproducible codebook for labeling brand recommendations, mentions, evidence, rank, and ambiguity in AI search answers.
Sep 7, 2026 · 8 min read
AI Search
AI Answer Volatility Metrics: How to Measure Repeatability
A practical metrics glossary for measuring repeatability in AI search answers, with formulas, a hypothetical worked example, and reporting limits.
Sep 7, 2026 · 8 min read
AI Search
AI Answer Citation Failure Taxonomy: 16 Errors to Label
A practical annotation reference for diagnosing retrieval, entailment, attribution, source-quality, freshness, and presentation failures in AI answer citations.
Sep 7, 2026 · 9 min read
AI Search
LLM Freshness Benchmarks: A Research Directory for Time-Sensitive Answers
A citation-ready directory of LLM freshness benchmarks, from knowledge cutoffs and temporal validity to live web search and continuously refreshed evaluation.
Sep 4, 2026 · 8 min read
AI Search
Generative Search Source Taxonomy: 12 Evidence Types Explained
A practical 12-type taxonomy for labeling the evidence behind AI search answers, with examples, selection rules, and audit caveats.
Sep 4, 2026 · 8 min read
AI Search
AI Web Search Benchmarks: A Researcher's Comparison Guide
A citation-ready guide to AI web-search benchmarks, compared by task type, freshness, tool access, citation scoring, human validation, and contamination risk.
Sep 4, 2026 · 8 min read
AI Search
AI Visibility Metrics Dictionary: 18 Terms With Formulas
A practical, citation-ready dictionary of 18 AI visibility metrics, with formulas, a worked example, reporting minimums, and clear measurement limits.
Sep 4, 2026 · 8 min read
AI Search
AI Search Datasets Directory: Retrieval, Citations, Freshness, and Browsing
A citation-ready directory of public AI search datasets and benchmarks, organized by retrieval, citations, freshness, browsing, and factuality tasks.
Sep 4, 2026 · 8 min read
AI Search
AI Search Citation Evaluation Metrics: A Practical Reference
A practical, reproducible reference for measuring citation correctness, completeness, source quality, attribution, and human agreement in AI search answers.
Sep 4, 2026 · 8 min read
AI Search
AI Search Audit Methodology Template: A Reproducible Protocol
A copyable, citation-ready protocol for researching AI search visibility with transparent prompts, labels, denominators, uncertainty, and disclosure.
Sep 4, 2026 · 8 min read
AI Search
AI Referral Traffic Measurement Glossary: GA4 Terms and Formulas
A practical GA4 glossary for measuring visits, engagement, key events, conversions, and revenue from ChatGPT, Gemini, Copilot, Perplexity, and other AI referrers.
Sep 4, 2026 · 8 min read
AI Search
AI Crawler User-Agent Directory: Search, Training, and User Fetchers
A practical directory of AI crawler user-agent tokens, what each one does, and how publishers can verify requests without confusing search, training, and user-triggered fetchers.
Sep 4, 2026 · 8 min read
AI Search
AI Answer Factuality Evaluation: Metrics, Rubric, and Test Protocol
A citation-ready method for evaluating factual precision, atomic-fact support, retrieval faithfulness, contradictions, abstention, calibration, and citation accuracy in AI answers.
Sep 4, 2026 · 8 min read
AI Search
Perplexity Citation Statistics 2026: Accuracy, Sources, and Search Overlap
A source-first review of Perplexity citation accuracy, source attribution, Google overlap, and free-versus-Pro evidence, with methods and denominators included.
Aug 30, 2026 · 8 min read
AI Search
Generative Engine Optimization Statistics 2026: The Evidence Behind GEO
The most useful generative engine optimization statistics, from the original GEO experiment to citation overlap and traffic studies—with samples, dates, and limits clearly labeled.
Aug 30, 2026 · 8 min read
Other sections
See where you actually stand
Run a free audit and find out whether AI names you — or a competitor — when buyers ask.