SEO & Generative Engine Optimization
Generative Engine Optimization is the practice of making your content citable by AI systems — ChatGPT, Claude, Perplexity, Gemini and Google's AI Overviews — rather than only rankable in a list of blue links. It shares technical foundations with SEO but optimises for a different outcome: being quoted as the answer. We do both, because the traffic that still comes from classic search and the visibility that increasingly comes from AI answers require the same underlying quality and a different surface structure.
The problem
When the answer arrives before your page does
Traffic is flat and the reason is not one you can fix with more posts
The informational queries that used to bring people to your site now get answered above the results, or inside an assistant, without anyone clicking. Rankings look broadly stable. Sessions do not. The usual response is to publish more of what stopped working.
You have no idea whether assistants mention you
Someone asks ChatGPT how to choose a vendor in your category and gets three names. You do not know if yours is among them, because there is no dashboard that would tell you. The channel is not absent from your reporting because it is unimportant; it is absent because nobody has looked.
The site was built to look good, and machines cannot read it
The content is genuinely strong. It renders in the browser, arrives behind a cookie wall, or lives in a layout where the answer sits below several screens of design. Everything a human reader needs is present, and a crawler fetching that URL comes away with almost nothing.
What a real fix takes
The uncomfortable part of this discipline is that you cannot buy a citation. There is no placement to purchase, no submission to make, and no relationship with a model provider that puts you in an answer — which means the only available lever is being genuinely the clearest, most specific, most extractable source on a question, and then being technically legible enough that a crawler can tell. That is why the technical layer is not a preliminary: it gates everything above it. A site that renders its content client-side has a ceiling no amount of writing will lift, and the honest recommendation in that situation is to fix the platform before commissioning a content programme. The second thing worth saying plainly is that answer-first structure is an editing discipline rather than a technical one. Most of the work is rewriting pages so the answer comes first and stands alone — which is unglamorous, hard to sell, and where most of the movement actually comes from.
Outcomes
What changes
Visibility where people now ask questions
A growing share of research-stage queries never reach a results page. If your content is not structured to be extracted, you are absent from that conversation regardless of how you rank.
Traffic that survives AI summaries
Informational content that merely restates what a model already knows loses its click. Content with specific data, original analysis, or an opinion worth attributing keeps it. The strategy shifts accordingly.
Technical foundations that serve both
Server-rendered HTML, fast pages, correct schema, clean information architecture. Classic SEO requirements that happen to be exactly what AI crawlers need, many of which do not execute JavaScript.
Measurement for a channel with no dashboard
There is no Search Console for AI citation. We build a tracking process instead: defined query sets run against the major assistants on a schedule, with citations logged so you can see whether visibility is moving.
What we build
What we build
Technical audit and remediation
Rendering, crawlability, site architecture, Core Web Vitals, indexation, canonicals, redirects. Unglamorous, and still the highest-return work on most sites.
Structured data implementation
Organization, Service, Article, FAQPage, BreadcrumbList, JobPosting — typed and validated. Schema is how you state what an entity is rather than hoping it is inferred.
Answer-first content architecture
Restructuring pages so each opens with a self-contained answer that can be lifted intact. Question-shaped headings. Facts stated with specifics. This is the core structural difference between SEO and GEO.
Entity consistency
Your organisation described identically across your site, your schema, llms.txt, and the third-party profiles and directories that models draw on. Identity is synthesised from many sources, and inconsistency between them dilutes confidence.
llms.txt and machine-readable surfaces
A structured plain-text description of what you do, plus a full-content file so an assistant fetching a single URL gets complete coverage.
Crawler access configuration
Explicit robots directives for the major AI crawlers. Many sites block them by default, inherited from a template or a decision nobody revisited, and lose distribution without ever noticing.
Content programme
Topics selected for citation potential rather than keyword volume alone: cost questions, comparison questions, "how do I choose" questions. These are disproportionately what people bring to assistants.
Citation tracking
Regular runs of your target queries against the major assistants, logged, with movement reported.
What you receive
What you receive
The work lands on your site rather than in a report. What you keep is the site itself in a better technical state: rendering and performance issues fixed, structured data implemented and validated, crawler access configured deliberately, machine-readable files in place, and your highest-value pages restructured so the answer is extractable.
Alongside it, two things that outlast the engagement. The audit and its remediation list, including the items we did not get to and why they matter — written so your own team or another firm could continue from it. And the citation baseline: your defined query set, run against the major assistants, with what came back recorded, so that "are we visible in AI answers" becomes a question with an evidenced answer rather than a matter of impression.
How it works
How it works
- Weeks 1–2
Audit
Technical crawl, content assessment, schema review, entity audit, competitor citation analysis. We establish a baseline for both channels, including which assistants currently cite you and for what.
- Weeks 2–4
Technical remediation
Rendering and performance first, since they gate everything else. Schema implementation. Crawler access. Machine-readable files.
- Weeks 4–8
Content restructuring
Existing high-value pages rewritten to answer-first structure. FAQ sections built from real questions. This is typically where the fastest visible movement comes from, because the content already had authority and only needed to be extractable.
- Ongoing
Content and measurement
New content on the citation-potential model, scheduled citation tracking, technical monitoring, iteration.
Classic search moves slowly and AI citation can move faster, because assistants re-fetch content rather than waiting on ranking cycles. Neither is instant, both depend on what your competitors are doing as well as what you do, and anyone offering you a timeline with a guarantee attached is selling something other than this.
Technology
What we work with
Tools we work with and reach for where they help. Not an exclusive stack, and none of them are the work — they are how you see the site the way a crawler does.
Crawling and audit: Screaming Frog or Sitebulb for technical crawls, with Ahrefs or Semrush where competitive and backlink analysis is useful.
Validation: Google Rich Results Test, the Schema.org validator, Lighthouse and PageSpeed Insights.
Measurement: Google Search Console and Bing Webmaster Tools, alongside our own citation tracking runs — which exist precisely because the platforms do not yet report this.
Implementation: framework-appropriate, typically server-side rendering with typed schema generation. We work in your stack rather than bolting on a plugin.
Where this applies
Where this applies
Strongest for considered purchases where buyers research extensively before contacting anyone — legal and professional services, fintech, healthcare and education. These are the categories where the research now starts in an assistant rather than a search box.
Weakest where demand is local and immediate, or purely brand-driven. Local search and paid channels usually beat a content programme there, and we will say so rather than sell you one.
The technical half of this work depends on what your site can support; where the platform is the ceiling, web development is the actual answer and we will tell you that before taking a retainer.
Why us
One team, not three vendors
The usual way
- A strategy consultant, a development shop and a marketing agency, each scoped separately.
- Months spent getting three vendors to agree, and blame to allocate when something breaks.
- The model ships and adoption becomes somebody else's problem.
With Nexiour
- One team across strategy, engineering and growth. You skip the coordination tax entirely.
- We own the whole outcome — from the first audit to the system that is running.
- Delivery across the UK, UAE, Germany and India, with overlapping hours in four markets.
What it costs
What it costs
Quoted after the technical audit, because the remediation half cannot be priced honestly before someone has looked at the site. Cost is driven by how many templates and pages need structural change, the state of the existing markup and rendering, and how much of the content architecture has to be rewritten rather than adjusted.
Audit and remediation are a fixed-scope project. The content programme and citation tracking run separately, scoped by publishing cadence and the number of target queries tracked. We quote the two apart so you can take the first without committing to the second — the technical work has value on its own, and a retainer you cannot leave is not a service.
FAQ
Frequently asked questions
SEO optimises to rank in a list of results. GEO optimises to be quoted in a generated answer. They share technical foundations — crawlable HTML, speed, structure, authority — but differ in content shape: GEO rewards self-contained, specific, extractable passages, while classic SEO tolerates content that builds toward a point.
No, but the mix has shifted. Purely informational content that a model can already answer loses clicks. Transactional, local and specific-intent searches still go to results pages. The durable strategy serves both, which is why we do not treat them as separate services.
No, and nobody can. There is no placement to buy and no submission that puts you in an answer — the mechanism is being the clearest and most extractable source on a question, and what a model returns also depends on your competitors and on changes we do not control. What we can commit to is the work and the measurement: the technical state of your site, the structure of your content, and an evidenced record of whether visibility is moving.
When your buyers do not research — if the purchase is impulsive, local or entirely relationship-driven, this is a slow answer to a problem paid or field sales solves faster. When your site renders content client-side and there is no appetite to change that, since the ceiling is structural. When there is nobody to produce content with, because the specifics that make a page citable have to come from someone who knows the subject. And when you need pipeline this quarter — this is not that instrument.
Ask them. Run your target queries against the major assistants and record whether you appear. There is no dashboard for this, so it is a manual process, which is exactly why we run it on a schedule rather than assuming.
Almost certainly not, if discovery matters to you. Blocking the major AI crawlers removes you from a growing referral channel. There are legitimate reasons to block — proprietary content, a licensing strategy — but it should be a decision rather than a default someone set years ago and nobody revisited.
Technical fixes can show quickly. Content restructuring on pages that already have authority tends to move sooner than new content does. Competitive classic rankings are the slowest of the three. We report on them separately so progress is visible before the slowest metric moves, and we do not present early movement as proof of an eventual outcome.
No. We prioritise pages that already have traffic or authority, since restructuring those produces the fastest return. New content follows the pattern going forward.
Yes. It is how you state facts about your organisation and content in a form machines do not have to infer. It is cheap to implement correctly and commonly implemented incorrectly.
Yes, though the technical ceiling depends on your platform. Sites that render content client-side face a structural disadvantage that content work does not overcome. We will tell you honestly if a platform change is the real answer.
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