AEO Scorer, Benchmark and Methodology

Large language models pull from pages they can parse confidently, attribute clearly, and present to a user without embarrassment. Each dimension maps directly to one of those three requirements.

Authority and E-E-A-T (30 pts) is the highest-weighted dimension because AI engines have to justify their citations. A visible byline, external links to authoritative sources, original data, and JSON-LD structured markup all serve as machine-readable proof of credibility. Pages that omit even one of these signals drop significantly in retrieval ranking.

Entity Specificity (20 pts) separates pages that mention "AI tools" from pages that name specific products, include version numbers, and cite named studies. Vague nouns are hard for a model to anchor. Concrete named entities are easy to extract and quote.

Structural Extractability (20 pts) is what makes a page citable rather than merely findable. A TL;DR at the top gives a model a ready-made answer. Scannable bullets and real tables let it lift structured data without paraphrasing. Schema markup confirms the page type, author, and publication date in a format every major AI crawler reads.

Q-Subheadings (10 pts) align page structure with the queries users actually type. When a heading matches a natural-language question, the content beneath it becomes a candidate answer for that specific query. Pages with zero question-form headings lose this signal entirely, which is why so many otherwise solid posts score in the 30-to-50 range.

Semantic Clarity (10 pts) penalizes hedging language, unexplained jargon, and paragraph-first openers. AI engines prefer pages that lead with the answer and explain the reasoning after, not before. Every "it depends" and every buried conclusion is a point lost.

Freshness (10 pts) rewards recency signals: updated timestamps, current-year statistics, and in-text references to recent events. A page that was excellent in 2023 but has no freshness indicators scores lower than a comparable 2026 post because AI engines actively filter for up-to-date information on fast-moving topics.

The 70-point threshold we publish as the citation target comes from calibrating this rubric against the 50-entry corpus below. Posts scoring 70 or above appeared in AI-sourced answer panels at a meaningfully higher rate than posts below that line. It is not an absolute guarantee, but it is the best single-number proxy we have found for "this page is AI-citation-ready."