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COMPARISONS · SEARCH STRATEGY

Compare the strategies behind modern search.

Clear comparisons for ecommerce teams deciding where to invest their search strategy.

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Framework
7 dimensions
Position
Balanced
Ratings
None
COMPARISON INTERFACEFramework
Comparison of classic search optimisation and AI-search optimisation
DimensionClassic searchAI search
SurfaceRanked result listGenerated answer
UnitPageStatement or entity
Technical baseCrawl and indexCrawl and index
Content needDepth and relevanceStructured, quotable
AuthorityLinks and brandReferences and mentions
MeasurementPositions and clicksMentions and citations
VolatilityModerateHigh

Context

Search questions rarely have one answer.

Platforms, disciplines and search surfaces solve different problems. The useful question is not which is better, but which constraint is currently limiting your visibility.

Most comparison content online argues for a winner because a winner is easier to sell. In practice a store with an index-control problem and a store with an authority problem should invest in almost opposite work, even in the same industry and on the same platform.

  • Identify the constraint before choosing a strategy
  • Separate what a platform prevents from what it lacks
  • Check whether the outcome can be measured with your data
  • Expect overlap — most options are complements, not rivals

Library

Explore comparisons.

Each comparison publishes once it contains balanced, verifiable detail on both sides.

  • SEO vs AI SEO

    Where classic search optimisation ends and AI-search work begins, and how much of the foundation is shared.

    Helps you answerWhether AI search needs a separate budget or an extension of existing SEO work.

    Comparison in production

  • GEO vs AEO

    Generative representation compared with being the cited source behind a specific answer.

    Helps you answerWhich discipline matches your current visibility gap.

    Comparison in production

  • Shopify SEO vs WooCommerce SEO

    Template control, URL handling and technical ceilings on each platform.

    Helps you answerWhich constraints you inherit, and which strategies stay available.

    Comparison in production

  • Amazon SEO vs Ecommerce SEO

    Optimising inside a marketplace ranking system versus building owned search visibility.

    Helps you answerHow to split effort between marketplace listings and your own catalogue.

    Comparison in production

  • Traditional Search vs AI Search

    How the result surface, click behaviour and measurement change between the two.

    Helps you answerWhat to expect from reporting as answer surfaces take more queries.

    Comparison in production

  • SEO Audit vs AEO Audit

    What each audit inspects, what it can conclude and where the two overlap.

    Helps you answerWhich diagnostic you need before committing to a roadmap.

    Comparison in production

Framework

Compare what actually matters.

Every comparison is assessed against the same dimensions so the conclusions stay consistent.

  • SEARCH INTENT

    Which questions the option can actually answer.

    • Commercial intent
    • Research intent
    • Comparison intent
  • TECHNICAL CONTROL

    How much of the stack you can change.

    • Templates and markup
    • URL and index control
    • Rendering and speed
  • PRODUCT DISCOVERY

    How products get surfaced.

    • Attribute depth
    • Category reachability
    • Structured data
  • AUTHORITY & AI

    Which signals build credibility.

    • Entity consistency
    • Independent references
    • Citation coverage

Measurement is treated as a dimension in its own right: an option you cannot verify in your own data is a hypothesis, not a strategy.

Perspective

Not every strategy solves the same problem.

  • Different problems, different tools

    A crawl and index problem is not solved by more content. A trust problem is not solved by more markup. Comparisons are useful when they clarify which problem you actually have.

  • Constraints matter more than features

    Platforms rarely differ in what they claim to support. They differ in what they prevent — URL patterns, template access, pagination behaviour and how filters are exposed.

  • Measurement changes the answer

    If a strategy cannot be measured with the data you have, its value is unproven for your business regardless of how it performs in general.

FAQ

Common comparison questions.

No. AI answer surfaces are assembled largely from indexed content and third-party references, so classic technical accessibility, content quality and authority still underpin them. What changes is the additional layer of work: entity clarity, structured information and coverage in sources those systems draw on.

Answer engine optimisation focuses on being the source used to answer a specific question, which rewards structured, self-contained and verifiable information. Generative engine optimisation focuses on being represented inside generated responses and recommendations, which leans more on entity understanding and independent coverage. In practice they overlap and are usually worked on together.

They solve different problems. Marketplace optimisation competes inside a platform's own ranking system with limited control and no owned audience. Store SEO builds an asset you control, with better margin and data, but it requires technical and content investment. Most brands need a defined split rather than an either-or decision.

No. We publish balanced explanations of what each option is good at and where it constrains you. We do not publish review ratings or aggregate scores, because those imply a measurement we have not carried out.

Decide with evidence

Make the right search decision.

Bring the decision you are weighing up. We will review it against your platform, catalogue and current search data before recommending a direction.

Book a Strategy Call

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