Module 7: Programmatic SEO & Multi-Platform

What Is Programmatic SEO?

Programmatic SEO is the practice of generating large numbers of targeted landing pages from a database or template — where each page targets a unique keyword variation. Done correctly, it can produce thousands of ranking pages. Done incorrectly, it generates thin content that triggers Google's spam filters.

• Template + data model: One well-optimised template applied across hundreds of data entries
• Unique value per page: Each page must offer something distinct — not just variable substitution
• Internal linking at scale: Automated cross-linking between related programmatic pages
• Examples: Location pages (service + city), comparison pages (X vs Y), integration pages (tool + use case)

Building Programmatic Page Templates

The template is the unit of quality in programmatic SEO. A template that provides genuine value at scale earns rankings. A template that changes only the location name or product name, with identical body copy, is classified as duplicate content.

• Unique H1: Template should generate a unique headline for each keyword variation
• Unique introduction: At least the first paragraph should include unique data for each page
• Structured data: Schema markup applied automatically at template level
• Internal links: Automated linking to related pages within the same cluster

Multi-Platform SEO Beyond Google

Google handles roughly 90% of desktop search, but your audience uses other platforms. YouTube is the second-largest search engine. Reddit increasingly appears in Google's own results. Amazon SEO drives product discovery. Optimising across these platforms multiplies your organic reach.

• YouTube SEO: Title keywords, description text, chapters, and transcript optimisation
• Reddit: Authentic participation in relevant subreddits builds brand mentions that influence AI search
• Amazon: A9 algorithm prioritises keyword-matched titles, bullet points, and conversion rate
• Pinterest: Visual search — keyword-rich pin descriptions drive long-term traffic

AI Search Platform Optimisation

ChatGPT, Perplexity, and Gemini are increasingly used as search alternatives. These tools cite web content — meaning SEO-optimised pages can appear in AI-generated answers. Optimising for AI citation is the emerging frontier covered in depth in Module 9.

• Structured content: AI tools prefer clearly structured pages with direct answers
• Citability: Short, quotable factual statements are more likely to be cited than long prose
• Authority signals: AI tools disproportionately cite sources with high domain authority
• Freshness: AI systems prioritise recently published or updated content for current-events queries

AI Prompts for This Module

Use these prompts directly in ChatGPT, Claude, or Gemini to apply the concepts from this module to your own site.

I have a [describe your site/business]. Identify 5 programmatic SEO opportunities — keyword patterns I could target at scale using a template approach. For each opportunity, describe: the keyword template (e.g., '[service] in [city]'), the data I'd need, the unique value each page would provide, and the estimated number of pages I could generate.

Review this programmatic page template: [paste template]. Identify any elements that are identical across all generated pages and suggest specific ways to add unique value per page — without requiring manual writing for each. Focus on making each page genuinely different for the 3 most important on-page elements.