How to monitor agent-generated docs for AI citation drift
Learn how teams using Claude Code, OpenClaw skills, and agent libraries can track AI citation drift, compare tools, and keep published documentation useful for answer engines.
AI visibility playbooks, without the fluff.
Practical workflows for getting cited and measured across major AI answer engines.
- Runbook-first: fast experiments you can ship this week
- API-ready: citation + share-of-voice reporting workflows
- Decision support: tool and implementation scorecards
Who this is for + what we cover
If you lead growth, SEO, or product marketing and need a clear AI visibility system, start here. We focus on signal quality, reproducible tests, and compounding distribution loops.
Every post includes a short scan-first summary at the top, followed by long-form implementation depth underneath so teams can move quickly without losing the full SEO and AEO context.
Latest insights
Scan the summary first, then open each guide for the full long-form playbook.
Turn Claude Code agent runs into AI-citable operating docs
Convert messy Claude Code and OpenClaw agent runs into static documentation that humans can trust and AI answer engines can cite.
How to build an agent evaluation loop for Claude Code and OpenClaw skills
Build a repeatable evaluation loop for Claude Code agents and OpenClaw skills using static outputs, review gates, and AI visibility data.
How to make Claude Code skill libraries citable by AI assistants
Skill libraries help agent teams move faster, but they can also become invisible to AI answer engines. This guide shows how to make Claude Code and OpenClaw skills easier for assistants to find, parse, and cite.
Agent-readable docs for Claude Code and OpenClaw skills
Learn how to structure agent-readable docs for Claude Code and OpenClaw skills so humans, agents, and AI search systems can all understand the same source of truth.
How to build an agent documentation sitemap for AI discoverability
A practical guide to structuring Claude Code and OpenClaw skill documentation so agents, AI answer engines, and human reviewers can find the right page fast.