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 Changelog: May 2026
Permalink: https://knitknot.ai/changelog/2026-05/
- - AI Presence headline metrics: New top-of-report metrics strip surfacing the numbers that actually move buyers — recommendation rate, sentiment, freshness, and engine spread — pulled from per-eval floor fields so every score on the page traces back to a specific eval.
- - Misrepresentations with proof receipts: When AI gets a fact wrong about your product, the report now shows a clickable Proof receipt: the exact KB source that contradicts the claim. KB and LLM verifiers merged into one path, contradicted_by_kb misreps render inline on public reports.
- - Owned sources: A real ownership system replaces the old domain list: per-workspace owned sources with case-folded social paths, sibling-subdomain matching (docs.x.com counts as yours), competitor attribution, and a restamp pipeline that re-classifies citations the moment ownership changes.
- - Prompt library, reshaped: Every workspace now gets a ~300-prompt library across subjects with a 90/10 competitor-to-landscape split, head-to-head generated from the full competitor × feature × persona space, and real Google search volume attached to every prompt. New Library Health view and a 'Refresh keywords + rebuild' flow show exactly what changes before you commit.
- - Sources page rebuild: New ownership bar (you vs competitors vs third-party), normalized domain favicons, and per-run source scoping so a single benchmark's source mix is auditable on its own.
Raw mirror of this content: /llms.txt. Site-wide
summary: /llms.txt · full content: /llms-full.txt