Research
Original data drops from the pseolint corpus. Each report is built from real audit results and intended to be cited, by other SEO blogs, by language models, and by practitioners trying to make sense of how Google's SpamBrain ranks programmatic sites in 2026.
How these reports are built
Every figure here comes from running the open-source pseolint engine over a corpus of live sites, not from a survey or a vendor panel. The rules that produce those numbers are the same ones that run when you audit your own site, at the same thresholds, so a claim in a report can be reproduced by pointing the CLI at the same URL. Where a report cites a percentage, the denominator is stated inline rather than left implied.
Snapshots are dated and never silently revised. Search behaviour moves — a core update lands, a platform changes its default templates — so a re-measured figure ships as a new dated snapshot with the delta called out, and the original stays readable. The scoring model, per-template aggregation, and the severity demotions we apply are documented at /methodology, and the continuously-updated clean-corpus rankings are at /leaderboard.
The honest limit: this corpus is a sample, not a census of the web. It skews toward sites that publish programmatically and toward the platforms our users run, so treat cross-platform comparisons as directional and read the stated sample size before quoting a number. Where a finding rests on too few sites to generalise, the report says so instead of rounding it into a headline.
- Published 2026-07-18
llms.txt for Programmatic Sites
80% of production pSEO sites ship no llms.txt, the widest and cheapest answer-engine gap in the wild. What the file is, what belongs in it, the mistake that cancels it, and how to verify yours in one command.
Read the report → - Published 2026-07-18
Programmatic SEO vs. Doorway Pages
The line between a catalog that ranks and a doorway that gets deindexed isn't scale, it's three specific signals. How SpamBrain draws it, a catalog-or-doorway self-test, and the exact pseolint checks that tell you which side you're on.
Read the report → - Published 2026-07-18
We Audited 20 Production pSEO Sites
Measured results from a live pseolint crawl of 20 programmatic-SEO sites. Only 3 scored ready; 80% ship no llms.txt and 75% fail citation coverage. Full per-site verdicts and the rules that fired most.
Read the report → - Published 2026-04-29
State of pSEO 2026
How programmatic SEO sites are performing under SpamBrain in 2026, failure rates by rule, by vertical, by tech stack, with year-over-year shifts after the March and May 2024 updates.
Read the report → - Published 2026-06-19
AI Overviews & pSEO Traffic Impact
How Google's AI Overviews change organic click distribution. Analysis of citation rates across different dynamic template structures, entity schemas, and quality signals.
Read the report → - Published 2026-06-19
Programmatic SEO Case Study: 50k Page Directory
How a 50,000 page dynamic directory recovered from a Google SpamBrain doorway penalty. Step-by-step layout modifications, boilerplate ratio reduction, and index recovery data.
Read the report → - Published 2026-06-19
Public Datasets & Sources for pSEO
Curated directory of public datasets, scraping methods, and data cleaning strategies for building high-quality programmatic pages.
Read the report →