Programmatic SEO with Claude Code: will Google penalize hundreds of AI pages?

Not for being written by AI. Google's spam policies target scaled content abuse: many pages generated mainly to manipulate rankings without adding value for users, however they are made. Hundreds of Claude Code pages are fine when each one answers a different real question with real data. Hundreds of near-copies that swap a keyword are the pattern Google names.

Facts

Does Google punish pages because Claude Code wrote them?

No. Google's policies judge why a page exists and what it gives the reader, not the tool that wrote it. The same policy applies to pages written by people, templates or AI.

Is there a percentage of unique content that keeps pages safe?

No. Google's spam policies publish no uniqueness percentage. A skill or tool that promises safety above a fixed “% unique” score is using its own invented number, not a Google rule. Google's test is whether each page adds value for users.

What separates a useful page set from scaled content abuse?

The difference is whether each page answers its own question with its own facts.

Useful programmatic pagesScaled content abuse
Each page answers a different question a buyer asksOne page per keyword variation with the same answer
Real data per page: prices, specs, places, rulesA template with only the city or product name swapped
Facts checked before publishingUnchecked text published in bulk
Published in batches, indexing checkedThousands of URLs pushed at once

What rule should Claude Code follow for each page?

Put a short rule in the instructions Claude Code reads before it writes each page:

Before writing page N of the batch:
- Name the one question this page answers. If another page already answers it, stop.
- List the real data only this page has (prices, specs, places, your own rules).
  No data, no page.
- Fact-check every claim, the <title>, the meta description and the JSON-LD.
- Link the page from an indexed page and add it to the sitemap.

Step by step

  1. List the questions first. Write the real questions buyers ask, one per page, before generating anything.
  2. Attach real data. Give Claude Code the data each page needs; drop questions you have no data for.
  3. Generate a small batch. Have Claude Code write a batch, then review and fact-check every page.
  4. Publish and link. Deploy, link the pages from indexed pages and add them to the sitemap.
  5. Check indexing before the next batch. Look at Search Console's page indexing report before adding more pages.

Common mistakes

  • Generating one page per keyword variation with the same answer on each.
  • Trusting a “% unique” score as if Google used it.
  • Publishing hundreds of pages before checking whether the first ones were indexed.
  • Letting Claude Code invent prices, numbers or reviews to fill a template.

How easyIndex solves it

easyIndex turns this into a method for your coding agent: pages come from the real questions your buyers ask, each page is audited when submitted and checked on the live site after publishing, and a batch only completes on evidence easyIndex checks. Your agent makes every change; easyIndex never touches your repository. US$ 30 per website a month after a 7-day free trial.

Frequently asked questions

How many pages can I publish at once?

Google sets no number. Publish a batch you can review, then check indexing before the next one.

Do I have to label pages as AI-written?

Google suggests considering a note on how content was created when it is automatically generated; it is advice, not a requirement.

Are location pages for every city scaled content abuse?

They are when only the city name changes. They are fine when each page has real local information.

Can Claude Code check facts by itself?

Not reliably. Google says generative models predict likely words, so a person or a check against sources must review each fact.

Continue reading

Last verified on .

Programmatic SEO with Claude Code: is it penalized?