Your buyers are asking ChatGPT.
Your brand isn’t in the answer.
Search has moved beyond the ten blue links. Buyers are asking ChatGPT, Perplexity, and Google AI Overviews for recommendations, and getting answers that cite specific businesses. AI Search Optimisation is the discipline of making sure your business is one of them. Nobody trusts what a business says about itself. Only what the sources they already trust confirm, and increasingly those sources are AI systems.
60-Day Measurable Progress Guarantee: if you don’t see measurable improvement in search visibility, AI citation frequency, or technical health within 60 days, I work an extra month at no charge.
Search behaviour has changed. Most businesses have not.
When a potential client asks an AI assistant “who is the best SEO consultant for international businesses?” or “what companies help with Meta Ads in Dubai?” they get a direct answer. The businesses cited in that answer are the ones that built credibility where AI systems look. The ones that did not are invisible.
The Visibility Stack
AI Search Optimisation is the full implementation of the Visibility Stack: the five-layer model that governs how discoverable and citable a business becomes. Each layer depends on the one below it. You cannot build Layer 5 without Layer 1 being solid.
Full implementation, not a checklist
Every deliverable maps to a layer in the Visibility Stack. Nothing is done in isolation. The sequence is fixed because each layer enables the one above it.
Assessment of all five layers. Identifies exactly where your business sits and what is limiting the ceiling above it.
Crawl coverage, indexation, Core Web Vitals, site architecture. The base AI systems need before they can process your content.
Person, Organisation, Service, FAQPage, BreadcrumbList schemas implemented and validated. Tells AI systems who you are and what you do.
Knowledge Graph presence, entity co-occurrence mapping, E-E-A-T signal building. Establishes you as a recognised entity in your field.
Structured file that tells AI systems what your site is, who it serves, and what content is most relevant. Improves citation accuracy.
Content structured specifically for AI engines: question-based architecture, verifiable claims, clear expertise signals, answer-ready formatting.
Topic clusters and content briefs targeting the exact questions AI systems answer in your category. Built around verified facts and specific expertise.
Featured snippet targeting, Google AI Overview positioning, People Also Ask coverage. Traditional search and AI search treated as one unified strategy.
Verified tracking of AI referral traffic, citation monitoring across major AI systems, and baseline reporting to measure compounding results over time.
How an engagement runs
The sequence is non-negotiable. Each phase produces the foundation the next phase builds on. Skipping Phase 1 contaminates everything above it.
Audit all five layers. Technical health, entity presence, content credibility, citation readiness, and tracking accuracy. Every finding is prioritised by impact and sequenced by dependency.
Fix the measurement and technical layers first. Verified tracking, Core Web Vitals, crawl architecture. Nothing above this phase is reliable until this is solid.
Schema implementation, Knowledge Graph signals, E-E-A-T evidence, entity co-occurrence. This is how AI systems learn who you are and what you are an authority on.
llms.txt, question-based content structure, citation-worthy source material, GEO and AEO content briefs. This is the layer AI systems read when deciding what to cite.
Track AI referral traffic, monitor citation frequency across platforms, report on compounding visibility gains. AI Search Optimisation produces results that build over time, not one-off traffic spikes.
What people ask before starting
How do I know if AI systems are already citing my competitors?
Search for your category in ChatGPT, Perplexity, and Google AI Overviews. Ask the kind of questions your clients would ask. See which businesses appear in the answers. If your competitors appear and you do not, that is the gap. The Visibility Stack assessment is the right starting point. It tells you exactly which layers are missing.
How long does it take to see results?
AI systems update their models from web data on varying schedules. Technical and entity changes typically register within 4–8 weeks. Content and citation presence builds over 3–6 months. AI Search Optimisation is a compounding investment, not a paid traffic switch. The businesses that start now will have a significant structural advantage over those who start in 12 months.
Is this different from traditional SEO?
It builds on the same foundation: technical health, quality content, authority, but extends the goal from ranking in search results to being cited in AI-generated answers. The two goals are increasingly aligned. A business that is well-optimised for AI Search is also better optimised for traditional search. They are not separate strategies.
Which AI systems do you optimise for?
ChatGPT (OpenAI), Perplexity, Google Gemini, Google AI Overviews, and Bing Copilot. Each has different content indexing patterns. The Visibility Stack approach builds credibility signals that are readable across all of them: entity structure, schema markup, and authoritative content are universal inputs.
Do I need to already have good SEO to start?
No. The Visibility Stack assessment starts from wherever you are. Most clients have some layers already partially built: a functional website, some existing content, basic tracking. The audit identifies the gaps and sequences the work by dependency. If your technical foundation is weak, we fix that first. If your entity signals are missing, that comes next.
Find out if your brand is being cited,
or if a competitor is.
If your business needs to be more visible in AI Search, reach out directly. Direct access from the first message.