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The 2026 vocabulary of Generative Engine Optimization, with live per-term citation status across ChatGPT, Perplexity, Claude, and Copilot.
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C-SEO Bench
C-SEO Bench is the Puerto et al. 2025 NeurIPS Datasets & Benchmarks paper that evaluates 9 Conversational Search Engine Optimization methods across 6 domains, two tasks (question answering + product recommendation), and continuous multi-actor adoption rates. Its headline finding is that most current C-SEO methods are largely ineffective once tested outside the single-actor synthetic conditions of prior GEO benchmarks; a traditional retrieval-ranking SEO baseline (moving the source to context position 1) is roughly 7.6× more effective in their retail-domain measurement than the best C-SEO method tested.
GPT0×Plx·Cld0×Cop0×Gem·intermediate
Citation Footprint
Citation footprint is a glossary-coined metric for the cumulative breadth of a site's AI-cited content: the distinct pages that AI search engines have cited at least once, tracked over time and across engines. It isolates citation coverage (how much of your library has ever been cited) from intensity at a point in time (citation share).
GPT·Plx·Cld0×Cop·Gem·intermediate
Citation match rate
Citation match rate is the percentage of AI-engine references to a source that include a clickable link back to that source. Computed as (linked citations) ÷ (all attributed references) × 100, it isolates the link-bearing subset of attribution from unlinked mentions in the same response stream.
GPT·Plx·Cld·Cop·Gem·advanced
Citation precision and recall
Citation precision is the fraction of citations in an AI engine's response that actually support the sentence they are attached to. Citation recall is the fraction of generated sentences that are fully supported by their citations. Both are model-behavior metrics, not publisher-visibility metrics: they measure how faithfully an AI engine uses the sources it cites, not how often a publisher's content appears as a source.
GPT·Plx·Cld0×Cop0×Gem·intermediate
Citation probe protocol
A citation probe protocol is the standardized operating procedure for measuring whether AI engines cite a publisher's content. It locks down query design, cadence, engine coverage, recording schema, disambiguation rules, and signal-vs-noise thresholds, turning ad-hoc 'ask ChatGPT and see' into a repeatable, comparable, vendor-neutral measurement program. Practitioner-coined methodology entry; the cluster's foundational SOP for the six citation-metrics anchors.
GPT·Plx·Cld·Cop0×Gem·intermediate
Citation share
Citation share is the relative percentage of citations a source receives versus competitors across AI-engine responses on a given topic. It is the AI-search analog (not direct equivalent) of traditional share of voice, measuring relative presence rather than absolute volume.
GPT0×Plx0×Cld·Cop0×Gem·intermediate
Cite-ability
Cite-ability is a practitioner-coined content property describing how suitable a passage is for AI extraction, quotation, and attribution. It is informed by factors like structural clarity, self-contained phrasing, and attribution clarity, but it is not a formal industry metric and is not defined in any major academic paper.
GPT·Plx·Cld·Cop0×Gem·
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intermediate
Generative search index
Generative search index is a glossary-coined practitioner shorthand for the retrieval-corpus backend that AI search engines query when fetching passages for generation. Standard industry terms for the underlying systems include vector database, RAG backend, hybrid search system, and (at the component layer) search index.
GPT0×Plx0×Cld0×Cop0×Gem·Cluster pillar
GEO content methods
GEO content methods are the content rewrites tested in Aggarwal 2023; most are weak or null levers, not the 30-40% the headlines claim.
GPT0×Plx·Cld0×Cop0×Gem·