Service

Programmatic SEO

Systematic page architecture designed to capture AI and Google discoverability across hundreds of related queries.

Programmatic SEO is the systematic architecture of keyword-targeted pages at scale. This service designs and deploys URL clusters, page templates, and content infrastructure that captures AI and Google discoverability across hundreds of relevant queries simultaneously.

A Worked Example

One documented example of this approach is the QInsights deployment. QInsights AI is a qualitative research software platform competing against NVivo, ATLAS.ti, and MAXQDA. The deployment used a 100-page programmatic SEO architecture with defined URL clusters, entity schema, llms.txt, and an academic citation network published across Zenodo, OSF, SSRN, and Academia.edu. Within weeks, QInsights began appearing in Bing AI search results alongside category incumbents with decades of market history.

For the full case study, read How a Qualitative Research Platform Appeared in Bing AI in Under 30 Days.

The Six Architecture Components

A programmatic SEO deployment typically has six components. First, keyword cluster mapping: every target query categorized into clusters (brand pages, comparison pages, use case pages, geo pages, pain-point pages, topic clusters) with defined URL slugs. Second, page template design: each cluster uses a consistent template with defined content blocks, schema types, and internal linking patterns. Third, entity schema: every page carries a defined JSON-LD schema type with sameAs links to the brand's authority profiles. Fourth, llms.txt: a plain-text file written specifically for AI crawlers. Fifth, internal link taxonomy: a defined cluster structure with hub pages receiving uplinks from cluster members. Sixth, content deployment: a minimum word count per page with defined information gain standards.

For the GEO component of programmatic SEO, see GEO Optimization Service. For the AI visibility measurement layer, see AI Visibility Service.

What You Get

  • Complete keyword cluster map with URL slug architecture
  • Page template design for each cluster type (6 cluster types)
  • JSON-LD schema deployment on every page
  • llms.txt file optimized for AI crawlers (GPTBot, ClaudeBot, PerplexityBot)
  • Internal link taxonomy with hub/cluster structure
  • Content deployment at minimum 1000 words per page
  • Sitemap and robots.txt configuration for full AI crawler access
  • Post-deployment monitoring via Prezlo

Questions

How many pages does a programmatic SEO deployment typically include?

The QInsights deployment used 100 pages across 6 cluster types. For most professional service businesses, 40 to 80 pages is often sufficient to establish category presence in AI search. E-commerce and SaaS projects more commonly fall in the 100 to 300 page range. The right size depends on a competitive landscape audit done during initial scoping.

Does programmatic SEO require a CMS?

No. The QInsights deployment, for example, uses a React SPA with content stored in plain JavaScript files and a static prerender system that generates complete HTML at build time for every URL, making all pages visible to AI crawlers without a CMS.

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