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SEOAIExpert GROWTH · INSIGHTS

Ideas for the next generation of search.

Practical strategies, research and perspectives on ecommerce SEO, AI search and product discovery.

FEATURED · AI SEARCH

What actually determines whether a product gets recommended in AI answers

AI answer surfaces assemble responses from indexed pages, structured product information and third-party references. This piece breaks down which of those signals a store can influence directly, and which have to be earned.

In editorial review12 min read · SEOAIExpert editorial team

Editorial

Latest thinking.

Long-form pieces on ecommerce search architecture, product discovery and AI visibility. Articles publish as they clear editorial review.

  • ECOMMERCE SEO

    Category architecture: deciding which segments deserve an indexable page

    A framework for turning demand mapping into a category tree that captures commercial intent without generating thousands of near-duplicate URLs.

    Publishing soon · 14 min read
  • TECHNICAL SEO

    Faceted navigation without losing control of the index

    How to expose useful filter combinations to search engines while keeping crawl budget on the pages that can actually rank.

    Publishing soon · 11 min read
  • PRODUCT SEO

    Product attributes as search infrastructure

    Attribute completeness now affects classic rankings, on-site search and whether AI systems can describe a product accurately.

    Publishing soon · 9 min read
  • GEO

    Generative engine optimisation for catalogues, not blogs

    Most GEO advice assumes a content site. This piece looks at what changes when the thing you need surfaced is a product.

    Publishing soon · 10 min read
  • AEO

    Answer engine optimisation: structuring information to be quotable

    Why answerable, self-contained information blocks outperform long narrative pages when answer engines assemble a response.

    Publishing soon · 8 min read
  • CHATGPT SEO

    How brands get referenced inside conversational search

    A practical look at entity clarity, third-party coverage and consistency across the sources conversational assistants draw on.

    Publishing soon · 10 min read
  • PLATFORM SEO

    Platform constraints that quietly cap ecommerce SEO

    URL handling, template control and pagination behaviour differ per platform — and they decide which strategies are even available.

    Publishing soon · 13 min read

Point of view

Search strategy, explained.

  • Demand before pages

    Publishing decisions should follow a demand map, not a content calendar. We write about how that mapping is built and where it changes by market.

  • Structure over volume

    Most catalogue visibility problems are architectural. Our editorial focus is on templates, internal links and index control rather than page counts.

  • Evidence over prediction

    AI search changes quickly. We document what we can observe and measure, and we say plainly where the evidence stops.

Research

Research & original thinking.

Our research programme documents how AI search surfaces reference brands and products, including method, dataset and limitations.

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Comparisons

Need a specific comparison?

Balanced comparisons for teams deciding between platforms, strategies and search surfaces — without a predetermined winner.

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PUBLISHING PIPELINEStructure
  1. 01

    Research

    Question, data and method defined.

  2. 02

    Draft

    Written by a practitioner, not generated.

  3. 03

    Review

    Claims checked against evidence.

  4. 04

    Publish

    Article route, schema and author data.

  5. 05

    Update

    Revised as search behaviour changes.

  6. 06

    Archive

    Superseded pieces marked clearly.

Updates

Get new research and articles when they publish.

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Work with us

Turn search thinking into a working system.

If a topic here matches a problem in your catalogue, we can review it directly against your store and search data.

No obligation. A senior strategist reviews your store before the call.