What is AI search optimisation?
AI search optimisation is the practice of making your business visible, accurate, and citable in AI-generated answers — the responses people now get from Google's AI features, ChatGPT, Perplexity, Microsoft Copilot, and Gemini. It is also called GEO (generative engine optimisation) or AEO (answer engine optimisation). It is not a replacement for SEO: AI systems draw on the same raw material — crawlable pages, clear entity signals, answer-first content, and third-party proof — so strong SEO fundamentals remain the foundation, extended to how AI engines select and cite sources.
Short answer AI search optimisation is the practice of making your business visible, accurate, and citable in AI-generated answers — the responses people now get from Google's AI features, ChatGPT, Perplexity, Microsoft Copilot, and Gemini. It is also called GEO (generative engine optimisation) or AEO (answer engine optimisation). It is not a replacement for SEO: AI systems draw on the same raw material — crawlable pages, clear entity signals, answer-first content, and third-party proof — so strong SEO fundamentals remain the foundation, extended to how AI engines select and cite sources. Search is changing shape. Instead of a page of ten blue links, more and more queries now end in a written answer: Google's AI features summarise sources at the top of results, ChatGPT and Perplexity answer questions directly with citations, and Microsoft Copilot and Gemini do the same inside the tools people already use. When someone asks one of these systems to recommend an accountant in Hamilton or a roofer on the North Shore, the answer names a handful of businesses — and either yours is in it or it is not. AI search optimisation is the discipline of earning a place in those answers. You will see it called GEO (generative engine optimisation) or AEO (answer engine optimisation) — the labels differ, the work is largely the same. This guide explains what the term actually means, how it relates to classic SEO, what genuinely influences whether AI systems cite you, what is snake oil, and where a New Zealand business should start. What does AI search optimisation actually mean?AI search optimisation means shaping your website and your wider online presence so that AI-powered search systems can find you, understand exactly what you do and where you do it, trust that you are legitimate, and then cite or recommend you when someone asks a relevant question. The output you are optimising for is no longer just a ranking position — it is a mention inside a generated answer. The terminology is still settling. GEO, generative engine optimisation, emphasises the generative systems producing the answers. AEO, answer engine optimisation, emphasises the format — direct answers rather than link lists. Some people say LLM optimisation or AI visibility. In practice these all describe the same goal: being the source an AI engine pulls from, quotes, and names. It matters because the click-through model is weakening. When an AI answer resolves the question on the page, fewer people click through to websites at all. The businesses that still win attention are the ones named inside the answer itself. Where does AI search optimisation apply?AI answers now appear across several surfaces, and each draws on slightly different sources. Optimising for AI search means being visible across all of them rather than betting on one. The important nuance for New Zealand businesses is the plumbing underneath. Google's AI features lean on Google's own index and its business data, so your Google Business Profile and organic rankings still matter enormously. ChatGPT's search and Microsoft Copilot lean heavily on Bing's index — which means a business that has ignored Bing for years can be invisible to two of the biggest AI answer engines. Check your business appears correctly in Bing Places and Bing search results — it is the quiet input behind ChatGPT and Copilot recommendations.
Is AI search optimisation different from SEO?It builds on SEO rather than replacing it. AI engines do not conjure answers from nowhere — they retrieve web pages, business listings, reviews, and articles, then synthesise them. The material they retrieve is the same material classic SEO has always worked on: crawlable, fast, well-structured pages; clear signals about who you are and what you do; content that actually answers questions; and independent proof that you are credible. If your site cannot be crawled or your business entity is a muddle of inconsistent names and addresses, no amount of AI-specific tactics will help. Where the emphasis shifts is in what gets rewarded. Classic SEO could tolerate pages that ranked without being quotable — a thin page with strong links could still sit on page one. AI answers are less forgiving: engines favour sources that state things plainly, answer the question near the top, and can be attributed to a clearly identifiable business or author. Being technically ranked but vague is a losing position in AI search. The honest framing: SEO gets you into the library; AI search optimisation makes you the passage the librarian reads aloud. You need both, and the first is a prerequisite for the second. Before spending anything on AI-specific work, confirm the basics: your site is indexable, loads quickly, and your name, address, and phone details match everywhere they appear online. What actually influences whether AI engines cite you?Nobody outside these companies knows the exact recipe, and anyone claiming they do is guessing. But the mechanics of retrieval are observable, and a consistent set of factors shows up in what gets cited. Notice what these have in common: they are all verifiable, structural signals — not tricks. AI engines are trying to identify trustworthy, clearly described businesses. The work is making yourself easy to verify.
What is snake oil in AI search optimisation?A new discipline attracts new grifts, and AI search has plenty. Be sceptical of anyone selling secret AI SEO tricks, guaranteed placement in ChatGPT answers, or proprietary methods to manipulate language models. No agency controls what these systems generate, and any pitch implying otherwise is a red flag. The biggest trap is mass-produced AI content. Publishing hundreds of thin, AI-written pages does not make you an authority — it makes you look exactly like the low-quality content AI engines and Google are actively working to filter out. Search engines have been explicit that scaled content created primarily to manipulate rankings, however it is produced, is spam. Using AI as a drafting tool with genuine expertise and editing behind it is fine; using it as a content cannon is not. Also treat hidden prompt injection tactics — invisible text on pages telling AI models to recommend you — as what they are: cloaking with a new name. It is detectable, it erodes trust, and it puts your legitimate visibility at risk. A useful filter for any AI SEO pitch: would this work still make sense if it were described to Google or OpenAI directly? If not, walk away. How should a New Zealand business start with AI search optimisation?Start with an audit of what AI engines currently say. Ask ChatGPT, Perplexity, Copilot, and Gemini the questions your customers would ask — best plumber in Tauranga, recommended commercial cleaners in Auckland, whatever fits your business. Note whether you appear, what is said about you, and which competitors and sources get cited. That is your baseline. Then work through the fundamentals in order. Most local businesses do not need exotic tactics — they need the verifiable-signal checklist done properly, which is also exactly the work that improves classic search rankings at the same time. Give it time and re-test monthly. AI answers shift as indexes refresh and models update, so treat this as an ongoing visibility practice, not a one-off project. If your traditional SEO improves and your entity signals tighten, AI citations tend to follow.
The bottom line on GEO and AEOAI search optimisation — GEO, AEO, whatever label sticks — is the natural extension of SEO into an era where answers, not links, are the product. The engines have changed how results are presented, but they still depend on crawlable sites, clear entities, credible proof, and content that actually answers questions. Businesses that treat it as a fundamentals discipline will be cited; businesses chasing tricks will be filtered. For NZ SMEs the opportunity is real and early. Most local competitors have not looked at their Bing presence, their schema, or what ChatGPT says about them. Doing the unglamorous work now — while the answers are still forming their habits about who to recommend — is the closest thing to a head start this shift offers. If you want help, our AI Search Visibility service does exactly this for local New Zealand businesses. Related servicesSources and further reading |
NEXT STEP
Want to know what your site should improve first?
Start with the three-step audit form. We will review your service pages, local SEO, technical setup, AI-search readiness, tracking, and enquiry path.
Start with an audit