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AI Content Quality and Governance

AI content fails on accuracy and voice long before it fails on grammar. These posts cover the checks that catch it: fact-checking, style guides, review workflows, and audit trails.

Looking for the product side of this? See how Lyra handles ai content quality.

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16 posts

Engineering12 min read· Aug 4, 2026

Google E-E-A-T guidelines: proving it with AI content

Google's E-E-A-T guidelines never ban AI drafts, they grade proof of experience, expertise, authority, and trust. Here's how AI-assisted posts show each one.

Research10 min read· Aug 4, 2026

Is AI generated content bad for SEO? What Google says

Is AI generated content bad for SEO in 2026? Google says no, but unreviewed drafts are. Here's what the spam policy, rater guidelines, and a PR gate change.

Research13 min read· Jul 29, 2026

Site reputation abuse: what it means for SaaS guest posts

Google's site reputation abuse policy is tightening, algorithmic or not. What SaaS guest posts and sponsored content need to audit before it costs rankings.

Research11 min read· Jul 25, 2026

AI content compliance for fintech and healthtech SaaS blogs

AI content compliance for fintech and healthtech: what FTC, FINRA, UDAAP, and AB 489 actually require, and how to build review into the pipeline.

Research14 min read· Jul 18, 2026

AI blog writer data training: what to check before you sign

AI writing tool data training policies vary sharply by vendor: the exact contract language to check before your SaaS drafts train someone else's model.

Research11 min read· Jul 18, 2026

AI writing tool security review: the SOC 2 and SSO checklist

AI writing tool security review checklist: what SOC 2 Type II, SSO, data residency, and audit logs an enterprise procurement team asks before they sign.

Research14 min read· Jul 13, 2026

Multilingual SEO for AI content: what actually breaks

Multilingual SEO for AI content breaks in three places: keyword cannibalization, hreflang errors, and raw machine translation. Here's the PR-reviewed fix.

Engineering13 min read· Jul 11, 2026

AI content pipeline security: the prompt injection risk

AI content pipeline security means guarding against prompt injection: hostile source data hijacking an AI writer to leak keys or publish false claims.

Research12 min read· Jul 7, 2026

AI content detector: does your SaaS blog need one?

AI content detectors top out below 80% accuracy, and false positives hit non-native writers hardest. What to check on your blog instead of a detector score.

Engineering11 min read· Jul 6, 2026

Multi-agent content review: how generator and critic agents work

Multi-agent content review pairs a generator with an independent critic and judge so mistakes get caught before a human ever opens the pull request.

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