Using Generative AI for SEO

Who should consider it?

Using Generative AI for SEO is a candidate for practitioners deciding where AI belongs in an existing SEO program. Eric Enge and Adrián Ridner’s preface frames the book around understanding the technology and choosing how to use it in ongoing work. Read the preface excerpt.

O’Reilly lists the July 2025 book at 264 pages and an intermediate-to-advanced level. Its contents suggest a useful fit for readers who want to move from individual prompts toward repeatable team workflows.

Which tasks does it address?

The listed topics include content outlines, titles and descriptions; keyword grouping; schema and redirect assistance; custom GPTs; and retrieval-augmented generation. Later material extends into automation, outreach, local listings and other marketing channels. A dedicated risk chapter addresses content quality, copyright, bias and overreliance on automation. Publisher chapter list.

That combination makes the book worth considering when your question is how to introduce AI into research, production and technical work. Its subject mix is broader than prompt writing alone.

How does AI search fit?

The final chapter includes Google AI Overviews, AI Mode, generative engine optimization and ChatGPT Search. AI discovery is therefore part of the listed scope, alongside the stronger workflow emphasis. See the search topics.

If your immediate problem is brand visibility inside generated answers, compare that scope with the dedicated titles in our AI-search reading guide. If you are choosing an approach to AI-assisted SEO production, consider how much technical implementation and organizational change your team is ready to handle. Check current tool documentation when applying instructions from the 2025 edition.