Our story

SEO tools stopped at reports. We didn't.

AI Auto SEO is the operational layer Koray Tugberk's semantic framework was always missing — built specifically for ecommerce stores that want rankings, not slide decks.

What is AI Auto SEO?

AI Auto SEO is a complete semantic SEO pipeline for Shopify and WooCommerce stores. It runs ten sequential stages — onboarding, competitor analysis, topical map, keyword clusters, site architecture, content briefs, execution, store push, and reporting — all under a single dashboard.

Most SEO tools sell you data. We sell you shipped pages. Real URLs, with real schema, on your real store, scheduled to publish on a curve that mimics natural growth.

What is Koray's framework?

Koray Tugberk is one of the few practitioners who treats SEO as a system, not a checklist. His semantic framework rests on a few non-negotiable ideas:

"Most SEOs are still optimising for the 2018 algorithm. The real game now is making your content cheap to retrieve and easy to verify." — Koray, paraphrased

Why we built this

We spent years applying Koray's framework manually for ecommerce clients. It worked — every single time. But it was painfully slow:

Meanwhile the tools we paid for — Surfer, Frase, MarketMuse — only solved 10% of that work, and the part they solved was the easiest part. So we built the tool we wished existed: one pipeline, one dashboard, one semantic framework, end-to-end.

What makes us different

Framework-native

Every stage maps to a specific Koray principle. Not bolted on, baked in.

Execution-first

Reports are a side effect. Live, schema-rich pages on your store are the product.

Ecommerce-only

We don't try to also serve law firms and SaaS blogs. Shopify and Woo only — that's the whole tool.

The team

A small group of ecommerce SEO operators, ML engineers and Shopify / Woo developers who got tired of explaining semantic SEO and decided to ship it instead.

AK

Alex K.

Founder & SEO Lead

10 years scaling ecommerce stores from zero to 7-figure organic.

MR

Maya R.

Head of Engineering

Ex-Shopify platform engineer. Builds the pipelines and the schema engine.

DT

Daniel T.

ML Lead

NLP & retrieval researcher. Author of the Cost-of-Retrieval scorer.

Where we're going

The roadmap is simple: more semantic depth, more autonomous execution, more platforms. OpenClaw — our autonomous agent that runs the entire pipeline without supervision — is rolling out to Enterprise customers this quarter.

If you've been doing semantic SEO the hard way, we built this for you. Take it for a spin.

Built for the next decade of search.

Semantic, retrieval-aware SEO — on the platforms ecommerce actually runs on.