What our data shows
- AI-first drafts rank when grounded in first-party data and reviewed by SMEs.
- Thin AI content underperforms and risks higher pogo-sticking.
- Human context (stories, data, POV) drives engagement and backlinks.
Signals that matter in 2025
E-E-A-T: Author entities, credentials, and outbound/inbound trust.
Depth & sources: Citations, data, and POV—not generic summaries.
UX metrics: Scroll depth, CTR, dwell time; avoid banner clutter.
Freshness: Regular updates; changelog in schema helps.
How we blend AI + human
- AI for research, outlines, and first drafts using approved sources.
- Human SMEs add stories, data interpretation, and sign-off.
- QA layer: fact checks, plagiarism checks, style guide, and compliance.
- Structured data: Article/FAQ schema, author markup, and update cadence.
Results we see
- CTR lifts of 20–35% after adding depth and clean UX.
- Faster publishing without manual bloat; no manual actions.
- Higher backlink win rate from original data and POV sections.
Use AI for speed, humans for credibility—rank with both.
FAQ
Is AI content detectable?
Detectors are unreliable; quality and compliance matter more than “AI vs human.”
Will AI content be penalized?
Low-quality content is; high-quality, experience-backed content isn’t—regardless of tooling.
Do you add author schema?
Yes—author + org + FAQ schema, with update cadence and sources.
How fast can we publish?
2–3x faster with our AI + human workflow and approvals.