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SEO in the AI Search Era

Original price was: $49.00.Current price is: $19.00.

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Works with Claude · GPT · Gemini Model-agnostic, tested on all three
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Description

Who this is for

  • SEO consultants watching organic traffic decline and trying to explain to clients what’s happening.
  • In-house content leads rebuilding their editorial calendar around AI search visibility, not just Google rankings.
  • Founders running content-led growth and trying to decide where to spend the next $10k of content budget.
  • Agency founders updating their SEO service offering for 2026 — and wondering whether SEO is still a viable service.

The problem

In 2024, Google Overviews started eating 30-50% of click-through on informational queries. In 2025, Perplexity crossed 100M MAU, and SearchGPT rolled out with citation-first results. By 2026, four distinct search surfaces matter, and they reward different signals.

Most SEO content still optimizes for the Google of 2020: long-form, keyword-density, internal linking, E-E-A-T. Those still help on Google. But they don’t get you cited in Perplexity. They don’t get you surfaced in SearchGPT. And they don’t get your content quoted in Google’s AI Overview.

What does? A different content architecture. Different schema. Different link-earning approach. Different measurement model.

This ebook is the practical map — not “AI search is the future”, which is everywhere, but specifically what to do this quarter if you run SEO for a living.

What you’ll get

  • An 80-page ebook (PDF + EPUB) covering the four search surfaces: Google core + AIO, Perplexity, SearchGPT, Gemini.
  • Content architecture shifts — what long-form still works for, and when short dense answers outperform.
  • The new schema stack — which JSON-LD types actually get picked up by AI Overviews, with worked examples.
  • Link-earning for AI citation — the 4 patterns that get you quoted instead of just linked.
  • Measurement framework — what to track when rankings alone don’t tell the story anymore.

Inside the ebook

  • Part 1 — The four search surfaces : how each one works, what it rewards, and how to test your visibility.
  • Part 2 — Content architecture : long-form vs short dense, when each wins, and the “hybrid page” that ranks in both.
  • Part 3 — Schema for AI search : FAQ, HowTo, Article, Product — which ones move the needle and how to generate them at scale.
  • Part 4 — Link earning : why reciprocal linking is dead and which 3 link patterns get you AI citations.
  • Part 5 — Brand visibility in AI models : how to appear in “Claude, who is Growtoria?” queries.
  • Part 6 — Measurement : share-of-voice across surfaces, citation tracking, and the KPIs that actually matter.
  • Part 7 — What’s going to break in 2027 : the trends to watch so you’re not caught flat-footed.

Real outcomes you can expect

  • Visibility in at least 2 of the 4 surfaces within 90 days of executing the content architecture shift.
  • Recovered click-through as you move to intent/funnel pages that survive AI Overview summarization.
  • Fewer shocked clients because you can explain their traffic shape with a framework instead of “it’s Google’s AI.”
  • A content budget allocation that reflects reality — less into “ranks #2” pages, more into AI-citable pillar pieces.
  • A measurement dashboard that shows share of voice across all four surfaces.

FAQ

Is SEO dead?
No. It’s fragmenting. Traditional “rank #1 on Google” SEO is a shrinking slice. Multi-surface visibility is the growing slice.
Will this become outdated in 6 months?
The underlying principles (content architecture, schema, brand building) are stable. Specific tactics will evolve — we update the ebook every 6 months, free to existing readers.
Do I need technical SEO skills?
Basic familiarity helps for Part 3 (schema). No coding required — the schema generators in the appendix handle the syntax.
Is this better than taking an SEO course?
Different thing. Courses teach the fundamentals. This ebook assumes you know the fundamentals and gives you the 2026 overlay.
What if I’m not satisfied?
See our guarantee below.

Our guarantee

Read Parts 1-3 (about 35 pages). If your understanding of the AI search landscape hasn’t materially sharpened, email [email protected] within 14 days of launch. Full refund, no forms.