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When ChatGPT or Claude answers a question, they favor content with clear entity definitions, factual specificity, and third-party validation. Our AEO content evaluator scores your content against these criteria — so you can optimize before you publish.
The AEO Content Evaluator is a free tool that grades your content for AI search readiness. Unlike traditional SEO checkers that focus on keywords and backlinks, our evaluator analyzes the factors that determine whether AI assistants will cite your content when answering questions.
Answer engine optimization (AEO) is about making your content the preferred source for AI-generated answers. When someone asks ChatGPT about your category, does your content get cited? Our AI search content checker evaluates the specific signals that LLMs look for: semantic clarity, factual specificity, structured formatting, and third-party validation.
We score your content across seven dimensions that matter for AI citation optimization: semantic clarity, citation worthiness, RAG optimization, third-party validation, intent architecture, freshness, and AI detection. Each dimension includes actionable feedback so you know exactly what to improve.
Whether you're writing blog posts, landing pages, or documentation, the AEO content evaluator helps you create LLM-friendly content that gets recommended when buyers ask AI about your category.
The evaluator is built on our CITABLE framework — the same methodology we use to get B2B brands cited by AI assistants. Each dimension maps to a specific signal that LLMs prioritize when selecting sources to reference.
Drop in a draft, landing page, or any content you want to optimize for AI search. We accept up to 15,000 characters per evaluation.
Our evaluator uses the CITABLE framework — the same methodology we use to get B2B brands cited by AI. Seven dimensions cover everything LLMs look for.
Receive an overall AI search readiness score, top strengths, critical improvements, and detailed feedback for each dimension.
Use the prioritized recommendations to optimize your content. Re-run the evaluator to track your progress toward citation-ready content.
See what your evaluation report will look like. This example shows how we grade content across seven dimensions that matter for AI citation.
AI Search Readiness
The content introduces the product clearly and maintains useful structure, but needs more high-confidence facts and Q&A formatting.
Recommendation
Expand the implementation walkthrough with explicit role-based steps to strengthen semantic coverage.
Sub-scores
Entity definition
"Acme AI Search Optimizer is a workflow that scores enterprise content for retrieval readiness and semantic depth."
Related entities
Topic clusters
Specific facts found
Semantic headers
Q&A examples
Areas to improve
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Try itThe AEO Content Evaluator is a free tool that grades your content for AI search readiness. It analyzes how well your content can be understood, trusted, and cited by answer engines like ChatGPT, Claude, and Perplexity. You get an overall score plus detailed feedback across seven dimensions.
AEO (Answer Engine Optimization) content optimization is the practice of structuring your content so AI assistants prefer to cite it when answering questions. Unlike traditional SEO, AEO focuses on semantic clarity, factual specificity, structured formatting, and third-party validation — the signals that LLMs use to determine source quality.
The AEO content evaluator scores seven dimensions: Semantic Clarity (entity definitions, topic clustering), Citation & Answer Analysis (completeness, accuracy, expertise), RAG Optimization (structured elements, extractable facts), Third-party Validation (comparisons, industry recognition), Intent Architecture (query pathways, intent coverage), Freshness & Consistency (temporal markers, cross-source alignment), and AI Detection (human vs AI-generated content).
Scores above 70 indicate strong AI search readiness — your content is well-structured for citation. Scores between 50-70 are moderate and benefit from targeted improvements. Scores below 50 suggest significant optimization opportunities. Focus on the priority improvements highlighted in your report.
Start with the "Critical Improvements" section in your report — these have the biggest impact on AI search readiness. Common improvements include adding specific facts and statistics, structuring content with clear headings, including third-party validation (citations, credentials), and formatting key information in tables or lists for easier extraction.
The AEO content evaluator works for any content type: blog posts, landing pages, product documentation, help articles, or long-form guides. Any content you want AI assistants to cite when answering questions about your category benefits from evaluation.
Yes. The scoring dimensions are based on what major AI assistants — including ChatGPT, Claude, Perplexity, and Gemini — look for when selecting sources to cite. Optimizing for these signals improves your visibility across all answer engines.
Traditional SEO tools focus on keywords, backlinks, and search rankings. The AEO content evaluator focuses on the factors that determine AI citations: semantic structure, factual density, validation signals, and extraction readiness. These are complementary — strong SEO gets you found, strong AEO gets you cited.
Citation-ready content is structured so AI assistants can easily extract, verify, and cite it when answering questions. This includes clear entity definitions, specific facts and statistics, logical organization, third-party validation, and formatting that supports RAG (Retrieval-Augmented Generation) systems.
Most evaluations complete in 60-90 seconds. We run your content through multiple analysis modules and compile the results in real-time. You'll see progress as each section completes.
Yes. The AEO content evaluator is free to use. Enter your work email and paste your content to receive a full AI search readiness report with scores, insights, and improvement recommendations.
RAG (Retrieval-Augmented Generation) is how AI assistants pull information from external sources to answer questions. RAG-optimized content has clear structure, extractable facts, and summary sections that make it easy for AI systems to identify and cite relevant information. Higher RAG scores mean better AI visibility.
CITABLE is our content framework for getting B2B brands cited by AI assistants. It stands for: Clear entity & structure, Intent architecture, Third-party validation, Anchored facts, Block formatting, Linked authority, and Editorial freshness. This evaluator grades your content against all seven CITABLE dimensions.