Rank in Google. Get named by ChatGPT. One programme that wins both, because your customers use both — often in the same afternoon.
AI SEO services optimise a website for traditional search engines and AI answer engines at the same time. The work combines classic SEO foundations — technical health, content and authority — with the signals AI systems rely on: structured data, entity consistency, independent citations and answer-shaped content a model can quote. The goal is to rank in Google and be named by ChatGPT, Gemini and Perplexity.
Search has split in two. A buyer might type a query into Google, then ask an assistant to compare their shortlist, then check reviews and maps before calling anyone. Rank well but go unmentioned by AI and you lose the comparison. Get cited by AI but rank poorly and you never enter the shortlist.
AI search engine optimisation: a single programme covering technical SEO, structured data, entity clarity, answer-first content, citations and reviews — measured against both Google rankings and what AI assistants actually say when asked about your category.
They share foundations and diverge on what wins. The clearest way to see the difference is side by side.
| Factor | Traditional SEO | AI SEO |
|---|---|---|
| Goal | Rank in a list of ten results | Be one of two or three businesses named in a generated answer |
| Primary surface | Google results page | AI Overviews, ChatGPT, Gemini, Perplexity, Copilot |
| Decisive signal | Relevance and backlinks | Entity clarity, structured data and independent corroboration |
| Content shape | Comprehensive pages that hold attention | Self-contained, quotable answers a model can lift whole |
| Role of reviews | Indirect, mostly local pack | Direct — models weigh review sentiment when recommending |
| Measurement | Rankings, impressions, clicks | Citation frequency and how accurately AI describes you |
| Advantage of size | Large brands usually win | Specificity often beats size |
| Speed of change | Index updates in days | Model understanding shifts over weeks to months |
We test what Google, ChatGPT, Gemini, Perplexity and Copilot currently say about you, and score the gap against competitors.
Crawlability, indexation, Core Web Vitals and rendering — the floor everything else stands on.
Organization, LocalBusiness, Service, FAQ and Article schema so machines read meaning, not just words.
One consistent, machine-readable record of who you are, where you operate and what you do.
Pages restructured so the answer comes first and can be quoted whole by a model.
The independent corroboration both Google and AI systems weigh before recommending anyone.
Depth across a subject area, so you read as a specialist rather than a generalist with one page.
Ongoing measurement of rankings, citations and how accurately AI describes your business.
We measure where you appear across Google and every major AI assistant today.
We identify why competitors are being named instead of you, signal by signal.
We fix the technical, structural and content gaps in priority order.
We build the citations, reviews and mentions that make the claims credible.
We track your Visibility Score monthly and compound what works.
Optimising specifically for large language models across every major assistant.
Getting recommended inside the assistant most of your customers already use.
Becoming the answer, not just a result in a list.
The hands-on execution layer beneath everything above.
Most agencies bolted "AI" onto an existing SEO retainer. We built the measurement first: we test what ChatGPT, Gemini, Perplexity and AI Overviews actually say about your business before recommending anything, then work the gap. You get a Visibility Score you can track, not a report you file.
Gold Coast, Brisbane, Sydney, Melbourne, Perth and every Australian capital.
Driven by site size, current technical health, how many locations and services need coverage, and whether content is optimised or newly written. We scope after an assessment rather than quoting blind.
Start with what answer engine optimisation is, or how AEO, SEO and GEO differ.
AI SEO services optimise a website for both traditional search engines and AI answer engines at the same time. The work covers classic SEO foundations — technical health, content and links — plus the newer signals AI systems rely on: structured data, entity consistency, third-party citations and answer-shaped content that a model can quote directly.
Traditional SEO competes for a ranked list of ten blue links. AI SEO competes to be one of two or three businesses named inside a generated answer. Rankings reward relevance and links; AI citations reward clarity, structure, entity consistency and independent corroboration. The foundations overlap, but the winning conditions differ.
Yes. Google still drives the majority of discovery for most Australian businesses, and AI systems draw heavily on the same web index Google crawls. A page that cannot be found by a search engine will not be quoted by an AI assistant either. AI SEO extends traditional SEO rather than replacing it.
Technical and structured-data changes are typically read by crawlers within days to a few weeks. Movement in AI assistant answers usually follows entity and citation work over one to three months, because models refresh their view of a brand more slowly than a search index does. Competitive rankings take longer again.
Often more easily than in traditional search. AI answers reward specificity over size, so a clearly-defined specialist with consistent citations and reviews frequently gets named ahead of a larger generalist competitor for a specific question. The narrower the query, the greater the advantage.
A typical engagement covers a visibility audit across Google and the major AI assistants, technical SEO and Core Web Vitals, schema and structured data, entity and knowledge-graph work, answer-first content, citation and review development, and ongoing tracking of how AI systems describe the business.
Google AI Overviews and AI Mode, ChatGPT, Google Gemini, Anthropic's Claude, Perplexity and Microsoft Copilot. The underlying work is shared across all of them, because they draw on overlapping signals — but each platform weights sources differently and is tested separately.
Cost depends on site size, current technical health, how many locations or services need coverage, and whether content is being optimised or newly written. We scope a recommended plan after an initial visibility assessment rather than quoting a fixed package before understanding the starting position.