Programmatic SEO

Generating many targeted pages at scale from a repeatable template + data — in this corpus, AI-generated hyper-local service/neighborhood pages.


Definition

Programmatic SEO produces large sets of pages from a consistent structure and a data source, each targeting a specific query. In Caleb Ulku’s local application, it scales the Core 30 into hyper-local neighborhood/landmark pages (service + location) so a business entity is explicitly connected to many location entities (Entity-Based SEO). AI (8-Pass AI Writing Pipeline) makes it feasible to produce a dozen quality pages in a week instead of months — but he stresses it “only works if you do it right”: each page must genuinely answer a real query and include real local detail, not “thin, spammy” duplication.

Programmatic SEO as a technique is established; the risk (and the reason for the quality caveat) is that low-effort programmatic pages become indexable spam that Google now discounts. His Core30 AI Tool automates the pattern with landmarks pulled from the Google Places API.


Key Properties

  • Template + data → many pages, each targeting a specific service+location query.
  • Quality gate: must be genuinely local and useful, not scaled thin content.
  • Powered by AI generation (8-Pass AI Writing Pipeline) with human review.
  • Targets low-competition, high-intent neighborhood searches (positions 4–6, per Local Rank Map & Top 3% Metric).
  • Landmarks sourced from Google Maps/Places so they’re entities Google recognizes.

Examples from Sources

ExampleSource
Neighborhood pages (H1 = service + neighborhood) scaled to expand geographic reachThis will rank you #1 AND bring you customers (a.k.a. 'I Spent 10+ Years Ranking Businesses #1. This Ranks the FASTEST')
Geo Planner generates landmark pages from the Google Places APIThis AI Tool Will Make You RANK FAST (Full Walkthrough)

In the Sources

SourceContext
This will rank you #1 AND bring you customers (a.k.a. 'I Spent 10+ Years Ranking Businesses #1. This Ranks the FASTEST')Hyper-local pages as the fastest ranking method; “programmatic SEO lets you scale.”
This AI Tool Will Make You RANK FAST (Full Walkthrough)Automated geographic-page generation.
2026 SEO Secrets That Ranked 1,000+ Sites (James Dooley, interviewed by Sterling Sky)Scaled service-area pages — and the contrarian Duplicate Content (for Service-Area Pages) claim (copied > “unique” content).
It Works Until It Doesn't: AI Content Strategies That BackfirePrimary: “programmatic location and language scaling” is one of eight templates on declining sites; “one of the oldest tricks in the SEO book,” with very little unique content per page and often no real location behind it. No causation claimed.
They Lied About AI Content (This Proves It)Programmatic location pages named as one of eight templates on declining sites; city-swap service pages called the fastest way to get a local site in trouble.

Tension

Caleb’s approach demands each scaled page be genuinely unique/locally-specific (“not thin AI slop”). James Dooley argues the opposite — duplicated service-area pages outrank spun ones (cross-confirmed by Joy Hawkins). Unresolved; see Duplicate Content (for Service-Area Pages).

Caleb vs. Caleb (2026-09-08). In They Lied About AI Content (This Proves It) he says spinning service pages across every city in a 50-mile radius fails because each page claims a presence the business does not have, and that his Core 30 URLs all target only the GBP’s own city. His earlier videos on this page promote scaled neighborhood and landmark pages, and he does not mention them here. A possible reading (not stated by him) is that landmark pages inside the real service area are fine and city-swap pages outside it are not. Official backing for the risk: Scaled Content Abuse and the doorway-abuse wording in Spam policies for Google web search. The technique stays established; the safe boundary is contested.


Concepts: Core 30, Scaled Content Abuse, Information Gain, Duplicate Content (for Service-Area Pages), Entity-Based SEO, 8-Pass AI Writing Pipeline, Local Rank Map & Top 3% Metric, Local SEO Entities: Core30 AI Tool, Caleb Ulku, James Dooley, Lily Ray