10 Content Quality Dimensions + E-E-A-T

Does your content answer what users are really looking for? AI does not cite pages that miss the query intent - even if they contain the keyword. Alignment with Central Search Intent (CSI) measures how precisely your article matches the expected answer type: definition, comparison, instruction, or recommendation.

Information density says how many facts, data points and concrete statements a single paragraph contains. Low-density content is filler - AI skips it. The dimension rewards every sentence that adds something new and lowers the score of text that repeats the same idea in different words.

Content builds a network of related concepts: entities, their attributes and values. The denser and more coherent the graph, the easier it is for AI to recognize the content as a credible source in the field. Knowledge Graph checks whether your texts build knowledge or merely mention concepts.

AI models prefer content that delivers the answer at the start of a section. BLUF measures how quickly your content gets to the point - and whether it does so in every section, not only the first.

AI retrieves self-contained fragments - sections that can be understood without the full article context. Chunk Optimization measures how many citation-ready units your page contains and whether they run to the length that suits this content type.

Cost of Retrieval measures how much effort it takes to pull a concrete answer off the page. Heading hierarchy, tables, lists and emphasis lower that cost; a wall of text raises it. With comparable content, the model picks the source that is cheaper to handle.

TF-IDF compares your page terminology with the vocabulary of the Top 10. A missing specialist term usually means a missing angle, so CitationOne shows which concepts you skip and in what context competitors use them.

Semantic Roles check whether the main topic of the page performs the action in your sentences or merely receives it. The active voice gives the model the complete set of information “who - does what - to what”; the passive voice leaves a gap in that structure.

A single user query decomposes into a dozen or so side questions that AI resolves in the background. Fan-Out & AIO Coverage analyses how many of those questions your content answers, because citations are won on the side questions.

Effort Score is an algorithmic checklist of page completeness: length against competitors, visual material, tables, lists, heading hierarchy, table of contents and a visible update date.