SEO & Generative Engine Optimization
Found in search.
Cited in the answer.
Technical SEO, content and structured data for e-commerce brands — built so Google can rank you and so ChatGPT, Perplexity and AI Overviews can quote you.
The short version
Two audiences now. One foundation.
Search hasn’t been replaced — it’s been joined. A buyer might find you through a ranking, or through an answer that never shows a list of links. The work that satisfies both is largely the same work, done properly: a site machines can crawl, facts they can extract, and a reason to trust the source.
Technical SEO
The foundation everything else depends on. Crawlability, indexation, rendering, site architecture and Core Web Vitals — with INP treated as the metric that actually bites on app-heavy stores.
- Crawl and index diagnostics, log-level where it matters
- Core Web Vitals: INP, LCP, CLS
- JavaScript rendering and server-side output
- Canonical, pagination and faceted-URL control
- Migration planning that protects existing rankings
Structured data
The single highest-leverage asset for both traditional rich results and AI retrieval. Machine-readable facts beat prose a parser has to guess at.
- Product, Offer, availability and price accuracy
- Organization, Article and Breadcrumb coverage
- Theme-level implementation, not a plugin that half-works
- Validation and monitoring as the catalogue changes
Content & on-page
Mapped to what people actually search and what they need to decide — not to a keyword density target.
- Search intent mapping across the funnel
- Category and product page optimization
- Topical coverage and internal linking
- Refreshing content that has decayed
- Editorial that demonstrates real expertise
E-commerce SEO
The problems that only exist on a storefront: thin variants, filter explosions, out-of-stock handling, feeds.
- Collection and filter URL strategy
- Variant and duplicate consolidation
- Product feed optimization for Merchant Center and AI shopping
- Seasonal and out-of-stock lifecycle handling
Authority & citations
Being mentioned in the places both Google and AI systems already trust. Earned, not bought.
- Digital PR and genuine link earning
- Unlinked brand mentions and entity corroboration
- Profile and directory consistency
- Comparison and review-surface presence
Measurement
The tracking has to be right before any of the reporting means anything — and we say plainly what is measurable and what is not.
- Search Console and GA4 configured properly
- Rank and share-of-voice tracking
- AI referral traffic segmented where engines pass it
- Reporting tied to revenue, not impressions
Generative Engine Optimization
What we know, and what nobody knows yet.
GEO is where most of the noise in this industry currently is. Here is the honest split — because a plan built on speculation is how budgets get wasted.
This works, and it works for both
None of it is speculative. It is the same discipline that has always underpinned technical SEO, and it happens to be exactly what a retrieval system needs.
- Important content in server-rendered HTML, not assembled client-side
- Clean, valid structured data describing products, articles and the organization
- A clear, consistent entity: one name, one address, one description, corroborated across profiles
- Facts stated plainly and close to the claim, so they can be extracted without inference
- Being cited on third-party sources that AI systems already draw from
- Fast, stable pages — a crawler that times out retrieves nothing
This is emerging — treat it as such
We will implement these where they are cheap and harmless. We will not build a strategy on them or invoice you as though they were proven.
- No AI engine publishes its retrieval or citation criteria; anyone claiming to know them is guessing
- llms.txt has no confirmed consumer among major providers — worth maintaining, not worth betting on
- Attribution is genuinely hard: several engines pass no referrer, so AI-sourced traffic often lands as direct
- Rankings and citations are separate outcomes — position one does not guarantee being quoted
- Whether to allow model-training crawlers is an intellectual-property decision, not an SEO one
The brands getting cited are the ones that were already easy to understand. GEO mostly rewards doing the fundamentals properly.
How we work
Fix the foundation, then build on it.
Content published onto a site that cannot be crawled properly is wasted effort. The order matters.
Technical & Content Audit
Crawl, index coverage, Core Web Vitals, structured data, architecture and existing rankings. You get a prioritized list ranked by likely revenue impact — not a 90-page PDF of everything a tool flagged.
Week 1–2Foundation Fixes
Crawl and indexation problems, canonicals, schema, performance. The issues that cap everything above them, cleared first.
Week 2–4Entity & Structured Data
Organization, product and article markup, consistent business facts, profile corroboration. This is the work that serves search results and AI answers at the same time.
Week 3–5Content & Authority
Intent-mapped content against real gaps, category and product optimization, internal linking, and earned coverage. The compounding part.
OngoingMeasure & Iterate
Search Console, GA4, rank tracking and AI referral segmentation where engines expose it. Monthly reporting on what moved, what didn’t, and what we’re doing about it.
OngoingWho it’s for
Worth doing — and worth not doing.
SEO is a poor fit for some businesses, and we would rather say so on a call than take the retainer.
A good fit
- Shopify and Shopify Plus brands with a catalogue worth ranking
- Businesses whose customers actively search before buying
- Anyone who has just migrated, replatformed or redesigned
- Brands invisible in AI answers where competitors are being cited
- Teams already spending on paid and wanting cheaper traffic later
A poor fit
- Anyone who needs revenue this month — use paid for that
- Products with genuinely no search demand
- Sites that will not be allowed to change technically
- Anyone who wants guaranteed rankings by a date
Our thinking, published
The approach, in more depth.
Written from client work rather than summarised from other agencies’ blogs. If you want to judge the expertise before the call, start here.
Why Atlas
The recommendations get implemented.
Most SEO engagements stall at handover: the agency writes the ticket, the dev team never picks it up. We build the stores, so the fix and the finding come from the same team.
We can change the code
Schema, rendering, INP, theme templates — the technical work lands because our engineers ship it, rather than being handed to someone who deprioritises it.
Shopify is home ground
Collection URLs, variant duplication, app scripts, checkout constraints. The platform’s specific SEO problems, from building on it every day.
Paid and organic in one team
Keyword and creative learning moves between channels instead of being rediscovered twice at your expense.
Honest about the unproven
We separate established practice from emerging GEO tactics and tell you which is which, rather than selling speculation as strategy.
Measurement first
Search Console and GA4 configured correctly before the reporting starts, so the numbers mean something.
No guarantees, no lock-in
Nobody controls the ranking systems. Month-to-month, judged on what actually moved.
SEO is scoped per engagement — the work differs enormously between a 200-SKU store and a 40,000-SKU catalogue mid-migration. See pricing for how we structure everything else.
FAQ
SEO questions.
Technical fixes can move things within weeks — a store with a crawl or indexing problem often sees recovery as soon as the fix is picked up. Content and authority work is slower: three to six months before a competitive term moves, longer in crowded categories. Anyone promising rankings in 30 days is either working on terms nobody searches or is about to do something you will have to undo later.
Generative engine optimization is about being found and cited by AI answer engines — ChatGPT, Perplexity, Google AI Overviews — rather than only ranking in a list of blue links. In practice the two overlap heavily: crawlable HTML, clean structured data, a clear entity and genuinely useful content serve both. The parts that are genuinely GEO-specific are newer and less settled, and we will tell you which is which rather than selling speculation as fact.
No, and you should be wary of anyone who does. Nobody controls Google’s ranking systems or an AI model’s retrieval. What we commit to is the work: the technical foundation, the content, the structured data and the measurement — and honest reporting on what moved and what did not.
Shopify is where most of our SEO work happens. We handle the platform’s specific constraints — collection and filter URL handling, thin variant pages, app scripts hurting INP, theme-level schema — and we build stores ourselves, so a recommendation that needs a code change does not have to be handed to someone else.
Usually, yes — they compound. Paid tells you which terms and messages convert before you invest months of SEO effort in them, and organic reduces what you have to pay for the same traffic later. We run both, which means the keyword and creative learning moves between them instead of being rediscovered twice.
Read access to Google Search Console, Google Analytics and the store admin or CMS. If those do not exist yet we will set them up — the tracking has to be right before any of the measurement means anything.
Start with the audit.
We’ll crawl the site, check index coverage, structured data and Core Web Vitals, and come back with a prioritized list ranked by likely revenue impact — whether or not you go on to work with us.