AEO Content Evaluator | Analyze Content for AI Search

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AI assistants prefer content that is structured, specific, and verifiable.

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.

What is the AEO content evaluator?

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.

How the AEO content evaluator works

Paste your content

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.

We grade using CITABLE

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.

Get actionable insights

Receive an overall AI search readiness score, top strengths, critical improvements, and detailed feedback for each dimension.

Apply fixes and improve

Use the prioritized recommendations to optimize your content. Re-run the evaluator to track your progress toward citation-ready content.

Example AEO content evaluation results

See what your evaluation report will look like. This example shows how we grade content across seven dimensions that matter for AI citation.

Overall Score

59%

AI Search Readiness

Top strengths

• Clear positioning with actionable rollout guidance.
• Structured tables and checklists simplify ingestion into RAG pipelines.
• Recognizable validation signals build baseline trust.

Critical improvements

• Update pricing references and add contributor guidance to improve completeness.
• Break out AI-assisted summaries into explicit fact bullets for easier extraction.

Detailed analysis

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 definition3/5

Semantic relationships3/5

Topic clustering3/5

Q&A format2/5

Semantic density3/5

Factual specificity3/5

Chunk independence3/5

Semantic headers3/5

Concept hierarchy3/5

Entity definition

"Acme AI Search Optimizer is a workflow that scores enterprise content for retrieval readiness and semantic depth."

Related entities

retrieval pipelines
vector embeddings
sales playbooks

Topic clusters

Implementation steps
Evaluation metrics
Change management

Specific facts found

Evaluation suite analyzes 28 semantic signals across 5 categories.
Average audit runs in under four minutes per 3,000-word document.

Semantic headers

Optimize Retrieval Paths
Benchmarks & Success Metrics

Q&A examples

Q: What does the optimizer evaluate? A: Entity clarity, intent coverage, freshness, and validation signals.

Areas to improve

High-level positioning paragraph in the introduction.

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Frequently asked questions

What is the AEO content evaluator?

The 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.

What is AEO content optimization?

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.

What dimensions does the evaluator score?

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).

What is a good AI search readiness score?

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.

How do I improve my content score?

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.

Is this for blog posts, landing pages, or documentation?

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.

Does this help with ChatGPT, Claude, and Perplexity citations?

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.

How is this different from traditional SEO tools?

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.

What does "citation-ready" content mean?

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.

How long does the evaluation take?

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.

Is the AEO content evaluator free?

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.

What is RAG optimization and why does it matter?

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.

What is the CITABLE framework?

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.