KnitKnot
You are reading the agent-optimized layer of this page: the literal markdown we serve to AI crawlers and assistants, shipped in the page source of every visit. Making sure AI reads the right facts about a company is literally what KnitKnot does.

# 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.

## 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

Raw mirror of this content: https://knitknot.ai/product/content-source-intelligence.md. Site-wide summary: /llms.txt · full content: /llms-full.txt

Content and source intelligence

See the corpus behind every AI answer.

Map the pages AI cites, compare them with your owned content, and find the coverage, vocabulary, page-health, and access gaps that can keep your strongest evidence out of the answer.

Sources

See which domains and pages shape the answers in the current benchmark.

Citation share
21% up 4pt
Pages cited
30
Median GEO health
74
$ trapped / mo
$8.2K
Sources Your pages Coverage Crawl & access
Source Owner Type Pages Cited Last cited Engines Sentiment
telemetrix.com Competitor Product page 12 18 Today 4 Positive
gartner.com Third party Market guide 8 13 Yesterday 3 Neutral
basalt.io Owned Product page 6 6 Jul 10 2 Positive
g2.com Third party Review site 4 5 Jul 8 2 Mixed
Citation intelligence

Know whose evidence is shaping the answer.

A source count cannot tell you whether AI is learning from your site, a competitor, or an independent authority. KnitKnot preserves the page and the answer context behind every captured citation.

Owned sources

See which of your registered domains and pages enter the citation set, by topic and captured answer.

Competitor sources

Find the rival pages that repeatedly support competitive recommendations or crowd out your evidence.

Third-party sources

Separate independent coverage from company-controlled content and inspect the surrounding co-citation pattern.

Your pages

Audit your site with the same ruler.

Registered company domains become a canonical page inventory. Each readable page is fetched, text-extracted, classified, analyzed, and compared with the cited corpus.

One GEO score, with an honest gate

The 0-100 diagnostic combines answer position, chunkability, extractable facts, evidence, formats, freshness, entity clarity, relevant schema, and accessibility. A PDF, JavaScript-only shell, or search-crawler block is shown as a readability problem instead of being averaged into a misleading score.

Page type and depth matter

A homepage, comparison page, product page, and deep guide should not be judged as interchangeable content. Page-fit logic keeps the diagnosis and recommended action aligned with the job of the page.

Owned pageGEOCitations
Platform overview 82 11
Enterprise deployment 54 3
Security architecture.pdf Blocked 0
Competitor comparison Missing -
Coverage and retrieval

Find the page, depth, and vocabulary gaps behind the loss.

KnitKnot connects topic demand, owned-page coverage, and the pages already earning citations so a content gap becomes a specific decision.

Coverage composition

Compare owned page count and depth with the demand share behind products, features, personas, topics, and strategic content types.

Retrieval vocabulary

See the terms that recur on cited winners but remain absent from your owned pages, with the cited documents that support the gap.

Pages to Beat

Prioritize priced topics where a competitor page holds the citation slot, then revise an existing page or create the missing coverage.

Vocabulary from cited pages is retrieval evidence, not access to an engine's private search queries. Topic assignment and demand evidence are inputs to diagnosis, not a promise of citation.

Crawl and access

Separate content quality from content invisibility.

A strong page cannot compete through a retrieval path that cannot read it. KnitKnot checks the access conditions without turning them into ranking guarantees.

Crawler roles

Training, search-index, and user-triggered bots are reported separately.

Sitemaps

Presence, parseability, URL coverage, and available freshness signals.

Snippet rules

noindex, nosnippet, and restrictive max-snippet directives on captured pages.

Organization schema

Whether the homepage exposes the relevant machine-readable entity markup.

llms.txt

Presence and parseability, reported as informational rather than a ranking factor.

Robots.txt states a site's rules; it does not prove that every crawler obeys them. Unblocking access can make a page eligible for retrieval, but it cannot guarantee selection or citation.

From diagnosis to action

Carry the evidence into the work.

Source and content findings do not end in an audit export. They become persistent Issues and grounded Playbooks with the page, evidence, and measurable hypothesis attached.

Next: Issues

Build the ranked backlog

Group recurring citation, coverage, decay, page-health, and access findings into durable work.

Then: Playbooks

Choose what to create, revise, or fix

Turn the evidence into a ready-to-edit brief or deterministic remediation plan.
Questions

Content and source intelligence FAQ

Start with a benchmark

See what is shaping your AI presence.

Benchmark the answers, inspect the cited corpus, and find the content gaps worth fixing first.