AI SEO & Generative Engine Optimisation (GEO)
Get cited by ChatGPT, Gemini & Google AI Overviews — not just ranked.
AI SEO — also called Generative Engine Optimisation (GEO) or AI search optimisation — is the practice of making your business visible and citable inside AI answers. We engineer that visibility for Adelaide and Australian businesses, so ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews recommend you by name.
AI engines we work on
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AI SEO Services
/ Visibility inside AI answer engines
AI SEO — also called Generative Engine Optimisation (GEO) — is the practice of structuring a brand's content, entities, and technical signals so generative AI systems (ChatGPT, Google Gemini and AI Overviews, Perplexity, Microsoft Copilot, and Claude) cite it as a source in their answers. Traditional SEO earns a ranked position on a results page; GEO earns the citation inside the synthesised answer many users now read instead of clicking through. The work spans four layers: entity definition so models recognise who you are; validated structured data so machines can parse what you offer; answer-first content written in self-contained, quotable passages; and measurement — tracked prompt sets that log when and where engines actually cite you. GEO doesn't replace SEO (answer engines lean on the same crawlable, authoritative content Google ranks), but it is now the difference between being the answer and watching a competitor get quoted.
Entity & Knowledge Graph Structuring
AI answer engines reason about entities — who you are, what you do, where you operate — not just keywords. We define your brand, people, products, and services as structured entities and connect them to the knowledge graphs these models draw from. What you get: engines that know exactly who your business is, so they can recommend you by name.
- Entity definition & disambiguation
- Knowledge graph & Wikidata alignment
- Authoritative citation footprint
AI-Ready Structured Data & Schema
Machines cite what they can parse. We implement rich, validated schema markup so answer engines understand your content's meaning, context, and trustworthiness at a glance. What you get: pages machines read as cleanly as humans do — the same markup you can inspect in this site's own source.
- Schema.org & JSON-LD implementation
- FAQ, HowTo & Article structuring
- Markup validation & monitoring
Citation-Ready Content Engineering
We write and restructure content the way models like to quote it: clear claims, direct answers, and self-contained passages that an LLM can lift into a response with your brand attached. What you get: pages that answer real customer questions so well that AI engines use them as the answer.
- Answer-first content architecture
- Extractable, quotable passages
- Topical authority & depth
Answer Engine Optimisation (AEO) & Tracking
We optimise and track your presence across the engines people now ask instead of Google (ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews). What you get: logged, plain-English evidence of where each engine mentions you — and a plan for the prompts where it doesn't yet.
- ChatGPT, Gemini & Perplexity coverage
- Copilot & Google AI Overviews
- Prompt & citation monitoring
The shift to AI search is already here
Your customers haven't stopped Googling — but a growing share of them now ask an AI first. Traffic referred by AI search grew 527% year on year, according to Semrush. ChatGPT alone serves around 700 million people a week (OpenAI figures, via Semrush), and Google's AI Overviews reach roughly 2 billion users a month — while cutting clicks to the top organic result by a third or more, according to Ahrefs and Search Engine Land. And the methods on this page are measurable: peer-reviewed research from Princeton and Georgia Tech (KDD 2024) found generative engine optimisation lifts a site's visibility inside AI answers by up to 40%.
AI SEO, GEO, AEO: same fight, different names
The industry hasn't settled on a name yet. AI SEO, AI search optimisation, Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), even "LLM SEO" and "ChatGPT SEO" — they all describe the same discipline: making your brand the source AI engines cite. The useful distinction sits between strategy and tactics: GEO is the broader strategy of entity, authority, and knowledge-graph signals, while AEO is the page-level craft of engineering the extractable, quotable passage an engine lifts into a specific answer. Whichever term you searched to get here, the work is the same, and we do both layers. For the full picture, read our plain-English guide to what GEO is.
A specialist partner, not a name on a listicle
Search "best GEO agencies" and you'll mostly find ranked lists compiled by agencies ranking themselves. Those listicles can't tell you how a GEO agency actually works. Our answer is to show the method instead: the entity structuring, schema, and answer-first passages described on this page are applied to this site itself: inspect the source, the structured data, and the llms.txt we ship as standard. Judge the practice, not the placement.
GEO is built on SEO, and we do both
Google's own position is that optimising for AI answers is still SEO: the engines lean on the same crawlable, fast, authoritative foundations that earn rankings. That's why we run AI SEO engagements from Adelaide alongside technical and local SEO, and because we design and build websites too, the fixes land in your code, not in a PDF of recommendations. Most engagements pair the search work with the build, and every one starts with the same AI visibility audit, so you can see your current citation footprint before spending anything. Outside South Australia? The same work runs remotely — see our GEO agency service for Australia-wide clients.
The Process
/ A repeatable path to being cited
- 01Discovery
AI Visibility Audit
We probe the answer engines directly (asking the questions your customers ask) to map where you're cited, where competitors win, and which prompts you're invisible for.
- 02Foundation
Entity Structuring
We define your brand as a machine-readable entity and lay down the schema, knowledge-graph, and citation signals that let models trust and attribute your content.
- 03Growth
Answer-Ready Content
We produce and restructure content into extractable, quotable passages that directly answer high-intent questions: the format answer engines prefer to cite.
- 04Compounding
Monitor & Iterate
A fixed prompt set runs against ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews on a monthly schedule — logged, screenshotted, and reported in plain English. You see where you're cited, who's cited beside you, and what we're doing about the prompts you're missing.
AI SEO Questions
- What is Generative Engine Optimisation (GEO)?
- GEO is the work of making your business show up — and get cited — inside AI-generated answers. Where traditional SEO earns you a ranked link on Google, GEO earns you the mention inside the answer itself on ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Peer-reviewed research from Princeton and Georgia Tech (KDD 2024) found these methods can lift a site's visibility in AI answers by up to 40%.
- What's the difference between GEO and SEO?
- SEO earns rankings on a results page; GEO earns citations inside AI answers. They're built on the same foundations — crawlable pages, fast load times, clear content, credible authority — which is why we treat GEO as a layer on top of SEO rather than a replacement. Google's own guidance says the same thing: optimising for AI answers is still SEO. If your technical foundations are weak, we fix those first.
- GEO vs AEO vs AI SEO — what's the difference?
- They're overlapping names for the same discipline, and the industry hasn't settled on one. GEO (Generative Engine Optimisation) is the broad strategy of entity, authority and structure signals; AEO (Answer Engine Optimisation) is the page-level craft of writing the exact passage an engine lifts into an answer; AI SEO and AI search optimisation are the plain-English umbrella terms. Whichever one you searched, the work is the same — and we do all of it.
- Which AI engines do you optimise for?
- ChatGPT (and Microsoft Copilot, which shares its stack), Google Gemini and AI Overviews, Perplexity, and Claude. Each engine chooses its sources differently, so we tune entity signals and content structure per engine rather than chasing a single algorithm.
- How do you measure results?
- With a tracked prompt set: the questions your customers actually ask, run against each engine on a fixed monthly schedule, logged and screenshotted. Every run records whether you're mentioned, whether you're cited with a link, and which competitors appear beside you. You get the log, not a vibe — plain-English reporting you can check yourself.
- How long does it take?
- Structural fixes — schema, entities, extractable answers — can influence citations within weeks as engines recrawl. Durable citation share builds over the first three to six months, in line with the SEO it sits on. It compounds: every cited answer strengthens the signals that earn the next one.
- Can you guarantee my business gets cited?
- No — and be wary of anyone who says yes. AI engines decide their own sources, and our terms are explicit that we don't guarantee specific rankings, traffic or citations. What we can do is engineer the conditions engines demonstrably respond to, measure your citation share every month, and show you the movement. If a prompt set shows no progress, you'll see that too — honest reporting is the point.
Page last updated: 28 July 2026
See where you stand.
Book a free AI visibility audit. We'll show you where you're cited across ChatGPT, Gemini, Perplexity and Google AI Overviews today — and exactly what it would take to be the answer.
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