About SEOAIExpert
Search is changing. We're building for what comes next.
SEOAIExpert helps ecommerce brands become easier to find, understand, recommend and cite across Google and the emerging generation of AI-powered search.
- Focus
- Ecommerce only
- Disciplines
- SEO + AI search
- Coverage
- Global
- 01
Traditional Search
Keywords and links
- 02
Search Engines
Ranked result pages
- 03
AI Search
Synthesised answers
- 04
Recommendations
Shortlisted brands
- 05
Citations
Named sources
The shift
The way people discover brands is changing.
Discovery is moving from ranked lists of links toward questions, evaluation and answers that name specific brands.
Then
Ranked links
- 01Keywords
- 02Rankings
- 03Clicks
Visibility was measured by position on a page of ten blue links.
Now
Answers and recommendations
- 01Questions
- 02Understanding
- 03Evaluation
- 04Recommendations
- 05Answers
Visibility increasingly means being understood well enough to be recommended and cited.
Why we exist
SEO was built for links. The next generation of search is built around answers.
Traditional SEO still matters — crawling, indexing and ranking have not gone away. But being visible in answers requires more than pages that rank.
- Entity understanding
- Product information
- Technical accessibility
- Topical authority
- Structured data
- Brand authority
- Citations
- AI visibility
Technical SEO
Crawl and render
Content
Coverage and depth
Entities
Who you are
Entity
Search visibility
Products
Structured detail
Authority
Corroboration
Citations
Named sources
AI Search
Answer surfaces
Illustrative relationship model, not measured data.
Specialisms
Built around how modern search actually works.
- 01
Ecommerce SEO
Category, product and facet architecture built so the whole catalogue can earn demand.
- 02
AI Search Optimisation
Making the brand legible to answer engines so it appears in synthesised responses.
- 03
GEO
Generative engine optimisation: quotable content, corroboration and source clarity.
- 04
AEO
Answer engine optimisation: direct, structured responses to real buying questions.
- 05
Entity Optimisation
Consistent brand, product and attribute signals so machines resolve you correctly.
- 06
Technical SEO
Crawl budget, rendering, indexation control and internal link equity at catalogue scale.
Indicators are illustrative interface data used to show what we measure.
Our approach
We don't optimise pages in isolation.
We build connected search systems where technical foundations, content, structured data and authority reinforce each other.
- Brand
- Products
- Categories
- Content
- Technical infrastructure
- Structured data
- Authority
AI visibility
86/100
Composite of technical, product, category and AI-search signals.
Principles
How we think about search.
Search visibility is becoming recommendation visibility.
Being present is no longer enough; brands need to be the one named in the answer.
Brands need to be understood, not just indexed.
Machines have to resolve who you are, what you sell and why you are credible.
Products need structured, connected information.
Attributes, availability and relationships make a catalogue usable by engines.
SEO systems should compound over time.
Architecture and authority built once should keep paying back across new surfaces.
Scope
From technical foundations
to AI visibility.
AI Search
Who we work with
Built for ecommerce brands serious about growth.
01
Growing Ecommerce Brands
Challenge: demand concentrated in a handful of pages.
Category and content coverage is thin, so growth depends on paid traffic instead of a search system that compounds.
02
Established DTC Companies
Challenge: plateaued organic growth.
Rankings are stable but discovery is shifting to answers and comparisons, where the brand is rarely the one named.
03
Multi-Category Retailers
Challenge: architecture and duplication at scale.
Facets, variants and near-duplicate templates dilute crawl budget and make the catalogue hard for engines to interpret.
04
Enterprise Ecommerce Teams
Challenge: technical debt and slow release cycles.
Fixes need prioritising by impact, documenting for engineering and sequencing so improvements ship without regressions.
Behind the company
Who's building this, and what we can show you.
Search is a trust business. Here's the thinking behind SEOAIExpert and the evidence we can point to today.
SEOAIExpert was founded by Abhay Singh, who spent a decade in performance and growth marketing before building this company — work grounded in intent, customer journeys, conversion and measurable revenue.
That discipline now sits behind a different surface. Buyers ask AI systems what to buy and which brands to consider, so the company was built around one question: what makes a catalogue easy enough to understand that it gets recommended and cited?
- FounderThe founder's viewWhy ecommerce SEO and AI search have to be built as one system.
- ClientsClients and proofWho we work with and the measures each engagement is judged on.
- MethodologyHow engagements runDiagnosis, architecture, content, structured data and measurement.
- FAQCommon questionsStraight answers on ecommerce SEO, AI search, timelines and measurement.
Next step
Build search visibility for where discovery is going.
Tell us about your catalogue and current search performance. We'll show you where the biggest visibility gaps are.
No obligation. A senior strategist reviews your store before the call.