Tag: AI content review
21 articles
Detecting AI Slop During Review: Check What the Draft Can Prove
Detect AI slop by checking proof, source fit, filler, example provenance, CTA support, and the review finding that should survive.
Content Quality Metrics Should Measure the Review System
Content quality metrics are useful when they show what review checked, what decision changed, and what the next draft can inherit.
Cross-model AI content review is critique, not a review record
Cross-model review can pressure-test AI writing, but accountable review starts when critique becomes a finding, evidence, decision, owner, status, and reusab...
Content governance maturity model: what survives review?
Use a practical content governance maturity model to see whether review feedback survives as findings, decisions, rules, and rulepacks.
Content QA-as-Code Starts When Review Decisions Become Loadable
Content QA-as-Code turns review findings, decisions, rules, and exports into loadable memory for the next draft, reviewer, agent, or check.
A Content Governance Framework for AI Starts With Review Memory
Turn AI content review into findings, decisions, rules, and rulepacks so the next draft can inherit what reviewers already decided.
Healthcare E-E-A-T Checklist: 6 Gates for AI Search
Six pre-publish gates for healthcare content: sourcing, substantiation, privacy, review, disclosure, and enforcement before AI search.
How to Measure GEO Success Without Fooling Yourself
Measure GEO success with fixed prompts, citation logs, analytics guardrails, and a repeated baseline so the report shows movement, not dashboard theater.
Google AI Overviews Citations: What We Know (and Don't)
A sourced map of Google AI Overview citations: what Google documents, what research suggests, what is still unknown, and what to do next.
Review debt is the new tech debt
Review debt isn't unreviewed content. It's the judgment that evaporates every time someone clicks 'resolve' in Google Docs.
Structured Feedback vs. Vibes: Why 'Looks Good to Me' Is Not a Review
Most content review produces zero usable data. Here's why structured feedback compounds and LGTM doesn't.
ChatGPT Search Optimization: Engineer the Passage, Not the Page
ChatGPT Search optimization in 5 steps: test prompts, inspect cited passages, rewrite extractable answers, and retest without citation promises.
Structured Answer Blocks: How to Write Passages AI Assistants Can Cite
Structured answer blocks turn sections into source-backed passages AI assistants can extract or cite. Learn the four parts and where FAQ schema fits.
How to review AI email copy (before the 52nd campaign feels like the first)
Your AI email review never gets easier because your feedback disappears after every send. Here's how to review AI-generated email copy for conversion, compli...
Typescape API: Review as an API Call for AI Pipelines
See how Typescape exposes review, findings, decisions, rules, and rulepacks through REST, CLI, MCP, web, and schema=v2 exports.
Your Brand Voice Guide Isn't Enforceable (Here's What Is)
85% of organizations have brand voice guidelines. Only 30% enforce them. The problem isn't discipline. It's that documents can't govern behavior.
Your AI docs passed the linter. Then a user filed a bug.
AI-generated documentation fails on precision, not prose. Here's the technical accuracy checklist your linter can't replace.
AI visibility benchmark for healthcare: how ChatGPT and Google AI Overviews cite different sources
Our AI visibility benchmark for healthcare reveals ChatGPT and Google AI Overviews trust completely different source types. Original data from 14 weeks of tr...
Agency Operating System: Build the Knowledge Layer Your AI Tools Can't Replace
An agency operating system isn't about which AI you pick. It's the artifact infrastructure that turns a 60% approval rate into 85% with the same model.
What Is Content Governance? A Practical Definition for AI-First Teams
Content governance isn't a better style guide. It's enforceable review infrastructure. Here's what that means and why 85% of teams get it wrong.
Your AI drafts are fast, your reviews aren't, and that's the actual problem
Content QA turns review feedback into permanent rules. Learn why content QA is a compounding loop, not a final check before publishing.