Every source behind the sheet.
The primary literature, analyst forecasts, platform research, and SERP-intelligence studies that GEO Cheat Sheet claims are built on. Newest additions are folded into the matrix as receipts.
Academic & foundational literature
GEO: Generative Engine Optimization
Live leaderboard and benchmark suite from the original GEO authors (Aggarwal et al.).
The paper that named GEO and measured up to ~40% visibility lift from source-attribution and statistic-dense edits.
Full-text v3 — easiest version to quote and cite directly.
Practitioner walkthrough of the original paper's nine optimization methods.
Peer-reviewed version of the seminal paper plus the GEO-bench benchmark. 37-40% visibility lift from statistics, quotes and citations.
GEO: A multistage formalization and survey
- Original arXiv survey (2607.14035)Peer / preprint
Survey formalizing GEO as a multistage pipeline: retrieval, selection, synthesis, attribution.
- Full text versionPeer / preprint
HTML full text of the multistage survey.
Structure & citation behavior (GEO-SFE)
Six-model study isolating macro architecture, meso chunking and micro formatting. +17.3% citation probability.
Feature-level optimization (FeatGEO)
- Feature-level multi-objective optimization for citation visibility (2604.19113)Peer / preprintLiu et al.
Argues for optimizing page-level features over token rewriting; keeps language quality intact.
AI search sourcing & earned media bias
- Original arXiv paper (2509.08919)Peer / preprint
Comparative empirical analysis of what AI search actually sources — and the earned-media skew in citations.
- Full text versionPeer / preprint
HTML full text of the sourcing / earned media bias analysis.
AI vs. traditional search across verticals; documents the earned-media skew. Canonical DOI still being confirmed.
Generative Search Engine Optimization (GSEO)
- Full text version (2509.05607)Peer / preprint
GSEO framework — an alternate formalization of optimizing for generative search.
Industry analyst & market research
Gartner search volume forecast
The most-cited market forecast behind GEO budgets. Treat as a projection, not a measurement.
Secondary summary of the Gartner forecast for briefing decks.
Forecast vs. reality
Retrospective scoring the 25% forecast against observed 2026 traffic. Useful counterweight.
Enterprise GEO platforms & software research
Profound
Ecosystem map of the AI-visibility tooling category.
Query fan-out mechanics — why one user prompt becomes many retrieval queries.
Definitional split between answer-engine and generative-engine optimization.
Vendor benchmark criteria for enterprise AI visibility platforms.
How crawlers and operator agents actually fetch and reuse pages.
AirOps
Workflow view of building content for fan-out retrieval.
AuthorityTech + AirOps
GEO-16 scoring framework and the durability question: do citations persist across refreshes?
SERP intelligence & citation behavior
Authoritas
Large-scale study of SGE/AI Overview citation composition and volatility by brand type.
Virayo
Three usable numbers: 44.2% of citations from the first 30% of body text, 85% off-site on B2B queries, co-mentions 3:1 over backlinks.
Digital Applied
Post-I/O benchmark guide for structuring content for AI Overviews.
Lumar
How Anthropic, OpenAI and Google score candidate sources on helpfulness, reliability and corroboration before citing.
Topify AI
Extraction-layer view: which passages get lifted into the answer.
Digital Marketing Institute
CTR impact framing for stakeholders new to AI Overviews.
Discovered Labs
How E-E-A-T signals map to what Google and Perplexity choose to cite.