A tiny website edit should not mean hunting through CMS screens.
A modern CMS built for agents
Build a website that updates itself.
Your website, running in concord. Coordinate agents, cloud workflows, and human approvals to keep every page current.
Private fixture prototype. The production website remains unchanged.
Update the FAQs on the AI search post.
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✓
Target resolved/blog/ai-search · faq.answer[3]
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✓
Change validated1 field changed · unrelated bytes preserved
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Waiting for NickExact preview ready for approvalReview
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ReleaseFast HTML + agent Markdown
Routine campaign updates should not wait in a developer queue.
The work you repeat every week should not start from scratch.
Precise website edits
Change one field without rewriting the page.
Ask for a heading, FAQ, field, page, or fixed set of pages. Concord finds the target, preserves everything outside it, and shows the rendered result before release. If a request could match more than one target, the run stops for clarification.
Import declared content from Hugo or Next.js.
Select one heading, FAQ, field, page, or fixed set of pages.
Checkpoints and retries keep the job moving after you close your laptop.
Review the exact diff and rendered preview tied to one revision.
Publish with recorded evidence and exact rollback.
PRECISE EDITS
Update one field. Preserve the page.
Stable content identities let an agent change the selected field while leaving every unrelated byte alone.
ONE COMMAND SYSTEM
Let every agent move faster inside clear limits.
MCP, API, workflows, and the console share one command catalog, permission model, and audit trail.
HUMAN REVIEW
Review the change. Skip the admin.
See the target, diff, preview, validation result, and expiry before you approve it.
Cloud workflows
Build workflows that keep your website current.
Start with five tested templates for the updates, checks, and research you already repeat. Schedules begin paused and can require review before release.
Keep performance data current
Refresh trusted site data, validate the rendered result, publish under policy, and record the outcome.
Replace stale claims before readers find them
Find aging claims, prepare exact edits, generate a preview, and wait for editorial approval.
Find the next page worth writing
Compare frozen citation and competitor evidence, rank the gaps, and create recommendations without changing the website.
Update a heading or FAQ without rewriting the page
Change selected headings, FAQs, claims, or structured fields while preserving everything else.
Roll out messaging across every approved page
Freeze the target set, update several pages, validate every route, and require bulk approval.
Fast for people and crawlers
Serve fast HTML and clean Markdown from the same URL.
Hugo pages ship as complete prebuilt HTML. Declared Next.js content can render complete HTML at the edge. When an agent requests text/markdown from the page URL, it receives the Markdown version. The setting starts on and can be turned off.
- Prebuilt Hugo pages
- Edge-rendered Next.js content
- Markdown when an agent requests it
- Private previews stay uncached
How to build an AI search strategy
A fast, complete page rendered for a person.
---
title: How to build an AI search strategy
canonical: https://example.com/guide
---
# How to build an AI search strategy
A clean, structured page for an agent.
## What to measure
- Citation presence
- Answer visibility
- Conversion quality
Tested on a full website copy
Prove the workflow before production changes.
The private fixture imports a complete duplicate of nicklafferty.com, including its Hugo content and theme. The same controls also run against declared Next.js content.
Private canaries completed API and MCP releases, durable human approvals, visitor-byte changes, and exact rollback. Production remains untouched during evaluation.
Private fixture prototype
Prove the workflow before touching production.
Test exact edits, cloud workflows, approvals, and Agent Markdown against an isolated website copy.