Skip to content

AEO Content Scorer

Check if your content is optimized for AI engine citations

AEO Content Scorer — How It Works

AEO — AI Engine Optimization — is the practice of structuring your content so AI models cite it when answering user queries. Unlike traditional SEO, which optimizes for search engine rankings, AEO optimizes for being the source an AI engine quotes, links, or paraphrases in its response.

Why AEO matters now

In 2025-2026, AI-powered answer engines have fundamentally changed how people find information. ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot don't just list links — they synthesize answers from multiple sources and cite the ones they trust most.

This means being on page one of Google is no longer enough. If an AI engine answers the user's question directly and doesn't cite your content, the user never sees your site. AEO ensures your content is the one being cited.

What makes content AI-citable

AI engines prefer content that is structured, factual, and direct. They favor definition-lead paragraphs that answer a question in the first sentence, then elaborate. They quote content with specific numbers, dates, and research citations over vague claims.

Structure matters enormously. Headers that match common queries, numbered lists, comparison tables, and FAQ sections are all formats AI engines can easily extract and quote. Walls of text with no clear structure get skipped even when the information is good.

The five scoring criteria

This tool evaluates your content on five dimensions that research from Princeton and CMU has identified as key factors in AI citation: direct answer format, entity clarity, citation-friendly structure, factual density, and authority signals.

Each dimension is scored 0-20, giving you a total out of 100. The breakdown shows exactly where your content is strong and where it loses citation potential, with specific fixes you can implement immediately.

How to use your AEO score

A score below 40 means your content is unlikely to be cited by any AI engine in its current form. Between 40-70, you have a foundation but need structural or factual improvements. Above 70, your content is well-positioned for AI citation — focus on the specific weaknesses flagged.

The most impactful fix is usually structural: adding a direct-answer lead paragraph that answers the target query in 1-2 sentences. AI engines overwhelmingly prefer content that front-loads the answer rather than burying it after an introduction.

$ faq

What is AEO (AI Engine Optimization)? ▸
AEO is the practice of optimizing your content to be cited by AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Claude, and Bing Copilot. While SEO gets you ranked in search results, AEO gets your content quoted in AI-generated answers.
How is AEO different from traditional SEO? ▸
SEO optimizes for ranking position in search engine results pages. AEO optimizes for being the source an AI engine cites when generating an answer. The tactics overlap (structured content, authority, relevance) but AEO puts extra emphasis on direct-answer formatting, factual density, and entity clarity that AI models can extract and quote.
What score should I aim for? ▸
Above 70 is strong. Most published web content scores 30-50 because it was written for human readers, not AI extraction. The gap is your opportunity — even small structural changes (adding a definition-lead paragraph, including specific statistics) can move a score from 45 to 70+.
Does AEO replace SEO? ▸
No. AEO complements SEO. You still need traditional SEO to get indexed and ranked. But as AI answer engines capture more search traffic, content that scores well on both SEO and AEO will outperform content optimized for only one.
Which AI engines does this tool optimize for? ▸
The scoring criteria are based on research into how ChatGPT, Perplexity, Google AI Overviews (SGE), Bing Copilot, and Claude select and cite sources. The same structural and factual qualities that make content citable are consistent across all major AI answer engines.
Can I check content before publishing? ▸
Yes — that is the ideal use case. Paste your draft, get the score, implement the priority fixes, and re-check. Optimizing before publishing is far more effective than retrofitting published content because AI engines may have already processed and categorized the original version.