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.

# KnitKnot

KnitKnot keeps eligible Agent Versions current from an approved Fact Ledger, publishes them under policy, and measures what changed by journey and cycle.

  • - Category: managed agent content, AI evaluation readiness, and AI representation benchmarking
  • - Website: https://knitknot.ai

## What KnitKnot does

KnitKnot manages the agent-facing content layer on eligible customer pages. Each week, KnitKnot reviews approved fact changes, measured AI answers, buyer questions, source patterns, content evidence, and verified activity. It checks those signals against the approved Fact Ledger, finds the managed pages that depend on a changed record, and revises Agent Versions only when the evidence supports a material change. It publishes under the customer's approval policy and measures later movement by journey and cycle.

## The operating loop

  1. 1. Read search demand, the active question library, benchmark results, source and content gaps, and verified activity.
  2. 2. Freeze the benchmark before the first managed revision is published.
  3. 3. Keep publishable facts, receipts, owners, freshness, and page dependencies in the Fact Ledger.
  4. 4. Build an evidence packet from the current page, approved facts, and current structured signals.
  5. 5. Propose a bounded change only when the evidence is material, then check every claim and apply the configured approval policy.
  6. 6. Publish an immutable Agent Version with a recorded diff and rollback.
  7. 7. Serve approved versions through Markdown and rollout-gated customer-domain interfaces.
  8. 8. Show measured movement in the next eligible journey and cycle window.

## Diagnosis depth

  • - Captured answers remain available at the response level.
  • - Material claims are extracted and labelled as supported, inaccurate, or unverifiable without turning unsupported into false.
  • - Persistent issues cover misrepresentation, category gaps, competitive outcomes, source patterns, content gaps, and access conditions.
  • - Citation signals and co-cited pages provide source context. Unknown attribution stays unknown.
  • - The managed content cycle uses approved primary evidence and structured issue signals. Raw third-party page copy does not enter the authoring packet.

## The Fact Ledger

The Fact Ledger provides positioning governance. It holds the publishable record that every managed page and enabled interface may use. Products, capabilities, deployment options, policies, and proof are stored with receipts, freshness, owners, customer approval, and dependent pages. A revoked or refuted fact remains traceable to dependent content so it can take the priority strip path.

Demand signals and customer journey targets remain separate. They can direct the work and define its measurement scope, but they do not become publishable facts. Search demand is a proxy for buyer interest, not private AI-chat volume.

## Publishing contract

  • - A managed version cannot say more than the customer's existing page and approved Fact Ledger support.
  • - The human path remains unchanged. Agent content is an additive representation of the same supported substance.
  • - Keyword stuffing and fake freshness are blocked.
  • - Every change is attributable and reversible.
  • - Revoked or refuted claims take a priority strip path.
  • - Automatic publishing requires a passing evaluation gate for the revision class and workspace. In-place rewrites remain manual.

## Measurement doctrine

  • - Default language: changed -> measured movement.
  • - Reports show movement per journey and per cycle.
  • - Insufficient data is a first-class result; no delta is printed below the reporting floor.
  • - A qualifying holdout experiment is required for causal language on a specific per-page result.
  • - Verified crawler fetches, delivery outcomes, agent tool calls, and AI-referred visits remain separate facts. Traffic is not the promised outcome.

## Agent delivery

  • - Agent-readable Markdown: built and in use on supported KnitKnot surfaces.
  • - Read-only MCP on customer domains: built and capability-gated; customer rollout remains behind launch gates.
  • - WebMCP: built, experimental in supported Chromium environments, and rollout-gated. It becomes a no-op when navigator.modelContext is absent.
  • - Agent feed: built and rollout-gated. The outbound publish-notification sender remains pending, and a notification never promises a fetch or changed answer.
  • - Generative /ask: reserved for later and not part of the current offering.

## Pricing

Paid plans combine recurring benchmarks with hosted Agent Version capacity. Starter includes up to 50 hosted pages, Pro includes up to 200, and Enterprise has no page cap. The Free plan is a one-time benchmark report and includes no recurring hosted pages.

  • - Free first benchmark: one time, up to 75 questions, up to 4 named competitors, 1 product, and 3 AI engines: ChatGPT, Perplexity, and Gemini (no Claude).
  • - Starter: $149/month for one product, a 100-question benchmark library, 4 named competitors, the same 3 AI engines (no Claude), and 5 prioritized playbooks per week.
  • - Pro: $449/month for one product, a 250-question benchmark library, 8 named competitors, 4 AI engines including Claude, and 15 prioritized playbooks per week.
  • - Enterprise: custom pricing for portfolio-wide coverage, with a 400+ question library that scales with the scope, unlimited competitors, unlimited products, unlimited prioritized playbooks, custom cadence, and SAML SSO available.
  • - Each included competitor starts with a named rival × product relationship. Direct comparisons are freeform rather than capped at a fixed number per competitor, spanning evidence-backed topics, capabilities, use cases, hard requirements, decision criteria, and buyer roles.
  • - The free benchmark is a shareable one-time report. Every paid plan includes unlimited team seats, unlimited competitor analysis, claim and source intelligence, owned-page GEO health, content coverage maps, weekly playbooks, later-run measurement, and customer MCP access.
  • - Every plan analyzes every competitor AI mentions. The competitor allowance controls which rivals KnitKnot deliberately forces into repeated direct comparison, not which competitors it records and scores.

## Product pages

## Machine-readable access

## Resources

## Company

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

Privacy Policy

Last updated: July 11, 2026

1. What we collect

  • Account information: name, email address, and company name when you sign up or join the waitlist.
  • Usage data: pages you visit on knitknot.ai, features you use in the app, and benchmark results associated with your account.
  • Analytics data: we use Google Analytics to understand traffic patterns. This includes anonymized IP addresses, browser type, and referring pages.

2. How we use it

  • To provide and improve the KnitKnot service.
  • To run benchmarks on your behalf and deliver results.
  • To communicate product updates, changelogs, and support responses.
  • To analyze aggregate usage trends and improve the product.

3. What we don't do

  • We do not sell your personal data.
  • We do not share your benchmark results with other companies.
  • We do not use your data to train AI models.

4. Third-party services

We use the following services that may collect information:

  • Google Analytics: website traffic analytics.
  • Cloudflare: CDN, security, and performance.
  • AI model providers (OpenAI, Anthropic, Google, Perplexity): to run the benchmarks you request. Prompts include your company and competitor names; responses are stored in your account.

5. Cookies

Our website uses analytics cookies (via Google Analytics) to understand how visitors use the site. We use Google Consent Mode: analytics cookies are stored only if you accept them in the cookie banner shown on your first visit. If you decline, no analytics cookies are stored on your device. We may still receive anonymous, aggregated measurement data that does not identify you. You can change your choice at any time by clearing this site's cookies/local storage in your browser, which brings the banner back. We do not use advertising or cross-site tracking cookies.

6. Connecting your Google Analytics account

If you choose to connect your Google Analytics 4 property, KnitKnot uses Google OAuth to obtain read-only access (the analytics.readonly scope). We access only:

  • Your GA4 account and property names, so you can choose which property to track.
  • A daily, aggregated report of sessions referred to your site from AI assistants (e.g. ChatGPT, Perplexity, Gemini, Copilot, Claude), broken down by source and landing page. Google returns aggregate counts only, with no individual visitor identities or personal data.

We use this data solely to display your AI-referred traffic inside your own KnitKnot dashboard, alongside your AI Presence Score. Your Google access token is stored encrypted at rest and used only to run the daily sync; the resulting daily aggregates are stored in our database. You can disconnect at any time in Settings → Integrations, which revokes our access and deletes the stored token. Email [email protected] to request deletion of collected traffic history.

KnitKnot's use of information received from Google APIs adheres to the Google API Services User Data Policy, including the Limited Use requirements. We do not use Google Analytics data to serve advertisements, do not sell it, do not transfer it to third parties except as necessary to provide the KnitKnot service (and never for advertising), do not use it to train generalized or AI models, and limit human access except with your consent, for security or compliance, or as required by law.

7. Data retention

We keep your account data for as long as your account is active. Benchmark results are retained for the life of your account. You can request deletion at any time.

8. Your rights

You can:

  • Access the personal data we hold about you.
  • Request correction or deletion of your data.
  • Opt out of marketing communications.
  • Export your benchmark data.

9. Contact

For any privacy-related questions or requests, email [email protected].