# GEO Content and Source Intelligence

> See which pages AI cites, how your owned content covers buyer topics, and which retrieval or access gaps deserve attention.

- Canonical: https://knitknot.ai/product/content-source-intelligence/
- Product: KnitKnot AI Presence Management

## See the corpus behind the answer

KnitKnot records cited pages from captured benchmark responses and classifies each source as owned, competitor-owned, or third-party. Source-level views preserve citation context so teams can inspect the pages shaping an answer instead of stopping at a domain count.

## Audit owned content with the same evidence model

KnitKnot crawls registered company domains into a canonical page inventory. Pages are fetched, text-extracted, classified by page type and depth, read for topics and terms, and scored for GEO structure. Content versions are stored when the extracted page content changes.

The unified 0-100 GEO score is a diagnostic built from page structure, extractable facts, evidence, formats, freshness, entity clarity, schema, and accessibility. A readability gate separates readable pages from PDF, JavaScript-only, and search-crawler-blocked states. The score does not guarantee ranking or citation.

## Find coverage and retrieval gaps

Coverage views compare the depth and mix of owned pages with topic demand and cited competitor content. Vocabulary analysis identifies terms used by winning cited pages that owned pages do not cover. Pages to Beat ranks topics where a competitor page is cited more often and recommends either revising an existing page or creating missing coverage.

Vocabulary is inferred from cited-page evidence. It is not a claim that KnitKnot can see an AI engine's private retrieval queries.

## Check crawl and access conditions

Domain checks inspect robots.txt rules by crawler role, sitemap health, Organization schema, snippet directives, and the presence and parseability of llms.txt. Robots rules express eligibility or intent; they do not prove crawler compliance. llms.txt is informational and does not receive a pass/fail ranking claim.

## Turn diagnosis into work

Content, source, and access findings feed persistent Issues and Playbooks. The same evidence follows the workflow from a cited page or owned-page gap to work that creates, revises, fixes, earns, or defends.

## Frequently asked questions

### What is GEO content intelligence?

GEO content intelligence analyzes the pages AI systems cite and the owned pages they could retrieve, then compares their topics, vocabulary, structure, evidence, freshness, and access conditions.

### Does crawler access guarantee that AI will cite a page?

No. Access is a prerequisite for some discovery and retrieval paths, not a citation guarantee. KnitKnot reports the observed access condition separately from citation outcomes.

### What does the GEO score measure?

It is a page diagnostic derived from observable structural and accessibility signals, with deeper audit inputs where available. It is not an engine ranking score.

### How are Pages to Beat selected?

KnitKnot looks for priced topics where a competitor page is cited and the strongest owned page is absent or cited less often. It then routes the opportunity toward a revision when relevant owned content exists, or a new page when it does not.

### Can KnitKnot see the exact query an AI engine used to retrieve a source?

Not in general. KnitKnot analyzes vocabulary and patterns in the pages cited by benchmark answers. That is retrieval evidence, not private query telemetry.

## Related pages

- [Issues](https://knitknot.ai/product/issues/)
- [Playbooks](https://knitknot.ai/product/playbooks/)
- [Measurement Loop](https://knitknot.ai/product/measurement/)
- [Issues and playbooks documentation](https://knitknot.ai/docs/issues-and-playbooks/)