AI content SEO without the pitfalls
Google's position is to evaluate whether content is helpful and reliable, not whether AI produced it, while mass-producing low-value pages to manipulate rankings is spam. In practice: research site material and selected reports first, list and confirm photos, specifications, cases and contact paths; write only from that material and omit what is missing rather than inventing figures or experience; then review, fixing structure automatically and handing missing-material issues to a person, publishing only after review passes.
the 23SEOGEO team · Updated
Your own site is a source
Public author bios, company pages and product pages can be cited directly as the company's own statements, naming the source page, without hunting for external corroboration. What must be blocked is figures, customer cases and author experience the model adds that appear nowhere in the site, reports or confirmed material.
Report figures describe only the audited site
Percentages from scans or analysis reports should read as "an audit in a given month showed this site…" and never become rules for every website. Sentences generalizing them into musts are removed after generation and flagged in review.
Related questions
- Does Google penalize AI-written content?
- How to do SEO with AI content?
- How to stop AI articles inventing facts?
Common questions
What if review fails?
Each missing item is listed for you to supply or edit, then re-checked; the system will not invent sources to pass.
Is the final draft auto-published?
No. A final draft has only passed review; publishing remains a manual step.
How much quota does one article use?
Single and batch share the monthly article quota at one article each; resuming a paused job does not charge again.
Sources
- Google Search's guidance about AI-generated content
Quality over production method; mass content to manipulate rankings is spam.
- Google: Creating helpful, reliable, people-first content
Self-assessment questions for helpful content.