# KnitKnot Changelog: July 2026

This release is about the other half of the loop: not just measuring how AI represents you, but seeing your own content the way AI does — and turning every finding into a dollar-valued, source-cited action.

- Content Intelligence: see your site the way AI does: We crawl your site and score every page for how ready it is to be found, extracted, and cited by AI — one unified GEO score with a readability gate, page-type classification, and the exact structural fixes each page needs. A Coverage view maps your depth against buyer demand by feature, persona, and product, a Pages-to-Beat map shows the competitor pages currently winning the queries you care about, a topic-cluster map shows where you have real topical authority versus thin coverage, and an invisible-content estimator puts a dollar value on the pages AI can't see today.

- The report, rebuilt around what it's worth: The priority brief now leads with value: an itemized 'what it's worth' breakdown that ties each gap to the revenue it's putting at risk, not just a list of problems. Reports can be locked to a measurement period so a number you share on Monday still means the same thing on Friday — ideal for a sales cycle. Every tracked issue gets its own evidence page, and a canonical-ownership repair means your owned, competitor, and third-party sources are attributed consistently across every surface.

- Reliable citation signals connect claims to sources: When AI makes a claim about you, we no longer guess which source it came from — we read the response's own citation signals (Gemini character offsets, ChatGPT footnote markers, inline links, or a sole cited source) to attribute each claim deterministically, and record the method we used. No source signal, no attribution: we'd rather show nothing than a confident guess.

- Company facts, harvested once and never restated: A new company-facts bank harvests the things AI already gets right about you — from your own site and the sources it cites — and feeds them into the planner so playbooks stop telling you to restate what's already landing. Recommendations now focus on the gaps that actually move the score, with provenance kept on every fact.

- Notion, in sync with your playbooks: Two-way Notion sync pushes your playbook tactics into a Notion database and reads status back, with a lifecycle that respects how teams actually work: Active, Done, and Ignored, where an ignored tactic won't get regenerated and a completed one stays completed. Assign owners in Notion and the assignment flows back to KnitKnot.

Raw mirror of this content: /llms.txt. Site-wide summary: /llms.txt · full content: /llms-full.txt

← All updates

July 10, 2026

July 2026

Content Intelligence: see your site the way AI does

We crawl your site and score every page for how ready it is to be found, extracted, and cited by AI — one unified GEO score with a readability gate, page-type classification, and the exact structural fixes each page needs. A Coverage view maps your depth against buyer demand by feature, persona, and product, a Pages-to-Beat map shows the competitor pages currently winning the queries you care about, a topic-cluster map shows where you have real topical authority versus thin coverage, and an invisible-content estimator puts a dollar value on the pages AI can't see today.

The report, rebuilt around what it's worth

The priority brief now leads with value: an itemized 'what it's worth' breakdown that ties each gap to the revenue it's putting at risk, not just a list of problems. Reports can be locked to a measurement period so a number you share on Monday still means the same thing on Friday — ideal for a sales cycle. Every tracked issue gets its own evidence page, and a canonical-ownership repair means your owned, competitor, and third-party sources are attributed consistently across every surface.

Reliable citation signals connect claims to sources

When AI makes a claim about you, we no longer guess which source it came from — we read the response's own citation signals (Gemini character offsets, ChatGPT footnote markers, inline links, or a sole cited source) to attribute each claim deterministically, and record the method we used. No source signal, no attribution: we'd rather show nothing than a confident guess.

Company facts, harvested once and never restated

A new company-facts bank harvests the things AI already gets right about you — from your own site and the sources it cites — and feeds them into the planner so playbooks stop telling you to restate what's already landing. Recommendations now focus on the gaps that actually move the score, with provenance kept on every fact.

Notion, in sync with your playbooks

Two-way Notion sync pushes your playbook tactics into a Notion database and reads status back, with a lifecycle that respects how teams actually work: Active, Done, and Ignored, where an ignored tactic won't get regenerated and a completed one stays completed. Assign owners in Notion and the assignment flows back to KnitKnot.