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SEO Strategy 2 min read ยท March 2026 Maya Kapoor Maya Kapoor

Programmatic SEO that doesn’t feel like spam

How we generated 400 location-based landing pages that provided value to users and avoided Google's mass-generation penalties.

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Programmatic SEO that doesn’t feel like spam

The Danger of Mass Generation in the AI Era

Programmatic SEO (the practice of generating thousands of landing pages based on databases and templates) used to be a highly effective growth hack. Companies like Zapier and Canva built empires on “Integrate X with Y” pages.

However, with the rise of LLMs (Large Language Models), the barrier to entry dropped to zero. Anyone can now generate 10,000 location-based or feature-based pages in an afternoon. Google recognized this flood of low-quality content and responded with the Helpful Content Update (HCU), specifically targeting these low-effort, templated directories.

The Spam Filter

If your programmatic page simply swaps out the keyword (“Payroll software for [Industry]”) but keeps the exact same surrounding narrative text, Google’s algorithms will flag it as doorway spam and de-index your entire directory.

Building Programmatic SEO with “Information Gain”

To succeed with programmatic SEO today, you cannot just spin text. You must build pages around unique, proprietary data that provides actual value to the searcher. We call this “Information Gain”: providing data that cannot be found on Wikipedia or a competitor’s site.

1. Sourcing Dynamic, Proprietary APIs

For a recent B2B compliance client, we needed to rank for “compliance regulations in [State]”. Instead of writing generic filler text, we connected their internal database to the CMS via an API. The generated pages automatically pulled in real-time, state-specific legal codes, recent local court rulings, and dynamic pricing tiers based on the state’s tax brackets.

Because the core data on the page was highly specific, mathematically unique, and constantly updating, Google viewed it as a high-value resource, not a spun template.

2. Human-in-the-Loop Narrative Formatting

While the data was programmatic, the narrative flow was human-directed. We used AI to ingest the raw database rows and format them into readable, structured H2s and bullet points. However, human editors reviewed the templates for the top 50 highest-value pages to ensure the tone matched the brand’s editorial guidelines.

3. Strategic Internal Linking (The Hub and Spoke)

Generating 400 pages is useless if Googlebot can’t find them or assign authority to them. We built a strict “Hub and Spoke” internal linking architecture. A massive, highly-researched pillar page on “National Compliance Standards” (The Hub) linked out contextually to the state-specific programmatic pages (The Spokes). This allowed the authority earned by the high-quality pillar page to flow down into the programmatic directory.

The Result: Scale Without the Penalty

By focusing on data density rather than word count, we successfully deployed 400 programmatic pages that were indexed by Google within 14 days. These pages drove a 34% increase in non-brand organic traffic and began generating highly-qualified, localized leads, all without triggering a single algorithmic spam penalty.

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Maya Kapoor
Head of Search
Maya Kapoor

Maya leads the search practice at Gyrodile: technical SEO, content strategy and AI search visibility. She writes about what changes when the answer engine replaces the results page.

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