AI Search Readiness Checklist
A practical pre-publication checklist for Content Score readiness, GEO Score citability, and Review Gate risk.
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Resources & Learning Center
Everything you need to win at AI search.
Deep-dive documentation, strategy guides, and editorial research for teams navigating Generative Engine Optimization and traditional ranking signals — from one unified scoring model.
Featured guides
View all guides →GEO Optimization Guide
Generative Engine Optimization explained for teams that want to earn Google AI Overviews, ChatGPT citations, and Perplexity visibility.
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Answer Engine Optimization (AEO)
How content earns citations in ChatGPT, Perplexity, and Google AI Overviews - the signals AI answer engines reward and how to score them before publish.
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Interactive library
Find the exact resource for your next move.
Product documentationDocumentation
Product concepts, scoring surfaces, and implementation notes.
Open resource →Product documentationFAQAnswers on scores, teams, billing, and data handling.
Open resource →Product documentationHelp CenterSupport paths for scoring, billing, and account access.
Open resource →Strategy guidesAI Search Readiness ChecklistPre-publication checks for Article citability, Review Gate risk, and score movement.
Open resource →Strategy guidesGEO OptimizationDeep-dive into entity authority, factual density, and AI citability.
Open resource →Strategy guidesAI Search OptimizationHow to optimize for the AI retrieval layer and Generative Engine results.
Open resource →Strategy guidesLearning CenterAll editorial guides on AI SEO, GEO, and content scoring.
Open resource →Product surfacesFeaturesContent Score, GEO Score, SERP analysis, and editorial guidance.
Open resource →Product surfacesPricingPlans for operators, teams, and larger editorial operations.
Open resource →Product surfacesLive DemoInspect the canonical scoring loop without creating an account.
Open resource →Core concept
What is GEO (Generative Engine Optimization)?
AI search engines prioritize citability, entity authority, and factual density over raw keyword presence. ChatGPT, Perplexity, and Claude construct answers from passages — not from ranked documents. To be cited, your content must be entity-dense, answer-first in structure, and verifiably factual. GEO is the practice of building these properties in at draft time.
Read the full GEO guide →Core concept
The Dual-Axis Scoring Loop
Stop choosing between traditional Google ranking and AI visibility. The canonical scoring model evaluates content on both axes simultaneously: Content Score measures seven traditional SEO signals, and GEO Score measures five AI retrieval signals. The GEO Score is also one of the seven Content Score signals, so raising it lifts both scores, while a Content fix can still move the GEO Score either way. The Review Gate sits between every Article and publishing. Publishing is blocked unless the Content Score reaches 70/100, the GEO Score reaches 70/100, and no signal is critical (below 40); either score below 50/100 is a hard block.
Core concept
Pillar-and-Cluster Architecture
Organize your content by building authoritative pillar pages supported by specific, long-tail cluster topics. Proper internal linking prevents orphan pages, consolidates link equity where it matters most, and establishes topical authority across the Keyword Cluster. The scoring engine counts a draft's internal links as a Content Score signal.
Read: AI Search Optimization →Ready to apply it?
Score your content before it ships.
The scoring engine analyzes your draft against both Content Score and GEO Score signals and returns an ExplainScore breakdown — the exact signals to fix, with the recommended action for each, before publication.