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SEO Meets AI
The cover of SEO Meets AI: a glowing cyan ring holding a circuit brain, a hand of circuit lines reaching toward it, the title in white over a blue grid, and the names Viktor Grant and Bob Heyman.
Viktor Grant and Bob Heyman

SEO Meets AI

Traditional marketing guesses. AI-driven marketing anticipates.

When search became generative, you stopped getting a list of websites. You get an answer, and what you need is to be in the answer. This book is about how that answer gets written, who it names, and what a business owner can do about it.

It is built from twenty questions that clients, boards and teams are already asking, from ten questions about local search, and from a hard look at the SEO advice that thousands of people followed line by line.

What is inside

The chapters so far.

  • Strategy and ROI, part one

    The Day the Uncertainty Dropped

    Why traditional marketing stopped working, what changed when search became generative, and the engine that replaces the old playbook: predict, personalize, profit.

  • Strategy and ROI, part two

    Ninety Days of One Honest Loop

    Personalization at scale, the one number worth watching, how testing changes, the ethical line, and what to do on Monday morning.

  • Local search

    The Silence After the Answer

    Being findable on a specific street, by a specific person, in the next ten minutes, when a machine writes the shortlist.

  • Appendix

    The SEO Report Card

    Every tactic from two earlier SEO books, tested against 2026: still works, works but changed, faded, retired, or harmful.

  • In progress

    SEO Is a Verb

    The thesis behind the whole book: structure, understanding and trust, and why authority comes after the work, not because of it.

Swipe or use the arrows.

Where the book is still thin

The places a contributor would add the most.

We print what we can prove. These are the gaps the book names in its own pages.

  • Pause-test data

    Controlled results from businesses that paused paid search while organic traffic was measured.

  • Bookstore and library search

    How online bookstores and library catalogs decide which book a reader sees next.

  • Ads on the first screen

    A 2026 measurement of how much of the first screen is ads for small-business searches.

  • Law and personalization

    A legal voice on where AI targeting meets data protection and consumer protection rules.

  • Who reads the email

    Sourced evidence of how much broadcast email a human actually reads.

  • Your own case story

    A before and after from your own work, with numbers you are free to publish.

Something here you could fill?

Answer three of the book's questions. We read every answer before we pick up the phone.

Talk to a humanThree questions