Generative Engine Optimisation Services.
Build the content, evidence, technical structure and measurement needed to compete for discovery across Google’s AI features, ChatGPT, Gemini, Perplexity and the next generation of search.
Be understandable before you try to be recommendable.
Generative Engine Optimisation is the disciplined work of making a brand’s expertise, products, services and evidence easier to discover and interpret across AI-assisted search experiences.
That does not mean writing for robots or publishing hundreds of generic answers. It means building genuinely useful pages, clarifying entities and relationships, fixing technical access, making commercial facts consistent, adding first-party proof and measuring where the brand appears.
Google explicitly says its existing SEO best practices remain relevant for AI Overviews and AI Mode. Our GEO work starts with that foundation and extends it across the wider AI discovery environment.
SEO, AI SEO and GEO work together. They are not interchangeable labels.
| Discipline | Primary job | Typical work | Commercial measure |
|---|---|---|---|
| SEO | Earn qualified organic visibility in search. | Technical SEO, intent-led pages, internal links, authority, local and ecommerce optimisation. | Qualified clicks, leads, sales, rankings and organic revenue. |
| AI SEO Australia | Modernise a national SEO programme for Google search and AI-assisted discovery. | SEO foundations plus AI feature monitoring, evidence-rich content and Australian market architecture. | Organic growth plus measurable AI-feature and referral visibility. |
| GEO | Improve discoverability and representation across multiple generative and answer environments. | Entity and evidence mapping, answer architecture, source eligibility, corroboration, product or service clarity and prompt-set monitoring. | Citations, brand inclusion, sentiment, AI referrals, assisted conversions and revenue where trackable. |
Eight connected layers. No single GEO trick.
One evidence-led discovery system.
We prioritise the gaps that prevent users, search systems and AI-assisted experiences from understanding why the brand belongs in the answer.
AI visibility and source audit
Find where the brand appears, how it is described, which competitors win and which sources shape the answer.
Entity and evidence map
Connect claims to proof and identify missing pages, datasets, experts, product facts and corroborating sources.
Decision-grade page architecture
Build useful commercial pages, comparisons, explainers, FAQs and case studies around real customer decisions.
SEO and structured-data implementation
Repair access, duplication, rendering, canonicals, internal linking and eligible schema without inventing special AI markup.
Proof and corroboration programme
Turn expertise and outcomes into credible owned evidence, then earn relevant third-party validation.
AI discovery measurement
Track a controlled prompt set, citations, source domains, referrals, assisted conversions and changes over time.
AI visibility should lead somewhere commercial.
From AI citations to traffic and tracked revenue.
AIIMS connected technical SEO, entity clarity, answer-led content, product information and commerce readiness. The supplied platform data shows visibility progressing into visits and transactions.
Audit the answer. Strengthen the evidence. Measure the change.
Baseline visibility
Define commercial topics and prompts, document current inclusion, competitors, sources, sentiment and referral traffic.
Map entity and evidence gaps
Identify unclear facts, unsupported claims, weak source eligibility, missing content and technical barriers.
Build the roadmap
Score opportunities by commercial value, feasibility, authority required and connection to the customer journey.
Publish and repair
Deploy content, technical SEO, structured data, proof assets, product information and internal pathways.
Earn credible validation
Develop useful studies, expert commentary and legitimate coverage around claims the brand can substantiate.
Report and iterate
Compare the controlled prompt set, source mix, AI referrals and commercial actions over repeatable reporting periods.
Rankings remain useful. The scorecard is now wider.
AIIMS reports what can be observed responsibly: prompt-set inclusion, citation share, source domains, accuracy, sentiment, AI referral traffic, conversions and revenue where attribution is available. We keep platform volatility visible instead of presenting an unstable answer as a permanent rank.
What we do not sell: guaranteed recommendations, special schema that forces inclusion, fabricated mentions, mass-produced answer pages or an llms.txt file presented as a shortcut to Google’s AI features.
GEO, without the mythology.
What is Generative Engine Optimisation?
Generative Engine Optimisation, or GEO, improves how clearly AI-assisted discovery systems can find, interpret and evaluate a brand’s useful information. It combines strong SEO foundations with entity clarity, evidence-led content, accurate structured information, legitimate authority and AI visibility measurement.
Is GEO replacing SEO?
No. GEO depends on many of the same foundations as SEO: accessible pages, helpful content, clear site architecture, authority and accurate information. Google states that its existing SEO best practices remain relevant for its AI features. GEO widens the work and measurement across other answer and generative environments.
Can AIIMS guarantee a ChatGPT citation or Google AI Overview?
No. AI platforms independently select, assemble and change their answers. AIIMS can improve the quality, clarity, evidence and discoverability of your digital footprint, then measure changes. No responsible agency can guarantee inclusion.
Do I need special AI schema or an llms.txt file?
There is no special schema that guarantees an AI citation. Structured data should accurately represent visible page content and use supported types. Google also states that an llms.txt file is not required for its generative AI search features.
How do you measure GEO?
Measurement may include controlled prompt-set inclusion, citations, source domains, brand accuracy and sentiment, AI referral sessions, assisted conversions and attributable revenue. The exact scorecard depends on the business model and data available.
How long does GEO take?
Technical and content corrections can be deployed quickly, but durable visibility is a compounding outcome. Timing depends on existing authority, competition, platform discovery, content gaps and the amount of credible evidence a brand can publish or earn.
What is the difference between GEO and AI SEO Australia?
The GEO service is a cross-market pillar focused on discovery across generative and answer environments. AI SEO Australia is a national SEO service that integrates traditional organic search, Australian market architecture and AI-assisted discovery, with GEO as one connected layer.
Generative Engine Optimisation (GEO) is the process of improving your brand’s visibility across AI-powered search platforms such as ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews.
Traditional SEO focuses on search engine rankings. GEO focuses on improving how AI systems discover, reference, cite and recommend your brand within generated answers.
While no agency can guarantee inclusion, GEO strategies improve the likelihood of AI systems recognising, referencing and citing your business as a trusted source.
No. GEO works alongside SEO. Strong websites, structured content, authority signals and technical optimisation remain critical foundations for AI visibility.
Our GEO strategies are designed to improve visibility across ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity and future AI-powered search experiences.