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Welcome to the AEO Content blog

This blog publishes original-data articles about AI engine optimization. The first piece you are reading is itself published through the same pipeline we sell to clients.

This is the first post on the AEO Content blog. It exists to validate that the publishing pipeline works end to end - studio produces an article, the GitHub App commits it, CI runs, the site builds, the post goes live. Real articles will follow once the pipeline is verified in production.

What you can expect

Three categories of writing live here:

  1. Internal benchmarks. When we audit a few hundred sites in a category, the patterns are usually surprising. We will publish those patterns - which structural fixes correlate with citation lift, which ones do not, where AI engines diverge from each other.
  2. Methodology. The scoring engine, AEORank, is open-core. The criteria, the weights, and the reasoning behind them are documented here as we evolve them.
  3. Case studies. Anonymized walk-throughs of real client work - what the audit said, what we changed, what happened to the AEO Rank afterward.

Why no generic SEO content

Generic industry stats from public sources have zero AEO value. AI engines already have those numbers, and any competitor can write the same article. The only content that gets cited is the content that contains a fact nobody else can produce. Every article on this blog has to pass the test: remove the brand name, can it appear on a competitor’s site? If yes, we did not write it well enough.

What is next

We will publish original-data pieces as soon as the audit corpus is large enough to draw representative conclusions from. Subscribe via the RSS feed to be notified.

Run a free audit on your own domain in the meantime. The audit is itself the source data for several of the articles already in the queue.

Frequently asked questions

What kind of content will appear here?

Original-data articles on AEO. Internal benchmarks from the audits we run, comparisons across AI engines, case studies on which structural changes lift citations, and the methodology behind our scoring engine. No generic SEO content - if a paragraph could appear on any competitor's site without changing meaning, it does not belong here.

How is this article published?

Through the same pipeline we sell to clients. Studio at studio.aeocontent.ai produces the article, scores it against the 17 citation-readiness criteria, opens a pull request via the aeo-content-publisher GitHub App, and Cloudflare Pages deploys it on auto-merge. We dogfood the entire stack.

Sources

  1. AEO Content