KnitKnot

# KnitKnot Changelog: June 2026

June was about trustworthy numbers: one metrics spine behind every score, run-over-run changes you can inspect, and better paths from evidence to the next move.

Permalink: https://knitknot.ai/changelog/2026-06/

  • - Every number traces to its evidence: All aggregate metrics now read from one canonical metrics layer. Every headline number on a report drills down to the exact AI responses behind it, with one win, loss, and tie definition everywhere.
  • - Run Measurement: The new Measurement view shows what changed since the last run: mentions, entities, citations, and competitive outcomes. When a score moves, you can inspect the answers and sources behind the movement.
  • - MCP: your AI presence, available inside an assistant: KnitKnot’s MCP server gives supported assistants workspace-scoped access to competitive position, score trends, issues, playbooks, source intelligence, demand topics, prompts, and coverage.
  • - Playbooks that are ready to discuss: Playbook detail was rebuilt around a tighter reader journey, stronger evidence, and clearer proof for important misrepresentations. Teams can generate or rebuild a playbook directly when they need to turn a finding into a next move.
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Released

Release ledger

June 2026

June was about trustworthy numbers: one metrics spine behind every score, run-over-run changes you can inspect, and better paths from evidence to the next move.

Three black measurement strips aligned by a vertical teal thread and an orange stitch.

01

Every number traces to its evidence

All aggregate metrics now read from one canonical metrics layer. Every headline number on a report drills down to the exact AI responses behind it, with one win, loss, and tie definition everywhere.

02

Run Measurement

The new Measurement view shows what changed since the last run: mentions, entities, citations, and competitive outcomes. When a score moves, you can inspect the answers and sources behind the movement.

Measurement period

Compared with prior run

Previous

64

→

Current

72

03

MCP: your AI presence, available inside an assistant

KnitKnot’s MCP server gives supported assistants workspace-scoped access to competitive position, score trends, issues, playbooks, source intelligence, demand topics, prompts, and coverage.

04

Playbooks that are ready to discuss

Playbook detail was rebuilt around a tighter reader journey, stronger evidence, and clearer proof for important misrepresentations. Teams can generate or rebuild a playbook directly when they need to turn a finding into a next move.