A user asks: 'Which Melbourne SEO agencies are suitable for a growing service business?' An AI answer may name three agencies, summarise their strengths, cite two industry directories, use one agency's own service page, mention reviews, omit several businesses that rank organically and produce a completely different shortlist when the question is rephrased.
There is no traditional list of ten blue links. No single fixed ranking position. The commercial question is no longer only 'Where did we rank?' It is also 'Were we considered, how were we described and what evidence was used?'
That shift is what generative engine optimisation addresses. It builds on top of the same foundations covered in our Melbourne SEO guide, but extends the work into a new type of search visibility.
SEO earns discoverability. GEO extends that work into the answers people receive before they choose which website to visit.
What Is Generative Engine Optimisation?
Generative engine optimisation is the practice of improving the likelihood that a business, brand, product, expert or piece of information will be accurately discovered, understood, included and attributed within AI generated search responses.
How generative search systems typically work:
Interpret the user's question
Rewrite or expand the query (Google describes a 'query fan out' process)
Retrieve information from several sources
Compare and synthesise the evidence
Generate an answer
Attach citations or supporting links where applicable
What GEO is not:
Adding 'GEO keywords' or repeating the brand name in every paragraph
Publishing content solely for AI systems
Creating a secret schema property or buying automated mentions
Guaranteeing a ChatGPT recommendation
Replacing technical SEO
Adding llms.txt and considering the job finished
GEO Versus SEO: What Changes and What Stays the Same
Area | Traditional SEO | GEO |
Primary outcome | Ranking and organic click | Inclusion, citation, accurate representation, referral |
Result format | Ranked pages | Synthesised answer with possible sources |
Query behaviour | Usually one visible query | May expand into several related queries |
Source selection | Search results page | Mix of owned and third party sources |
Measurement | Position, clicks, conversions | Mentions, citations, accuracy, referrals |
Authority signals | Links, reputation, content quality | Links, mentions, corroboration, entity clarity |
Stability | Rankings fluctuate but are trackable | Answers may vary between runs and wording |
Conversion path | Search result to page | Answer to citation, brand search, map or page |
The overlap is substantial. Both still need:
Crawlable pages and indexable content
Clear site architecture and internal links
Useful, well written text
Accurate structured data
Original expertise and trusted external references
Strong page experience
Google explicitly says ordinary SEO best practices remain applicable to its AI features and that no special AI schema or machine readable AI file is required. For more on how recent Google algorithm changes are pushing in this direction, see our full update breakdown.
GEO changes the visibility target. It does not remove the technical and editorial work required to become discoverable in the first place.
Why GEO Matters to Australian Small Businesses
Customers now ask AI systems questions like 'Who is a reliable plumber in Melbourne's inner north?', 'What does SEO cost in Australia?' and 'Which accountant specialises in ecommerce?'. The answer may influence the shortlist before the user searches the brand, opens Google Maps, visits a service page or reads a review. For the broader impact of this shift, see our article on how AI search is changing business visibility.
Smaller businesses may have an opportunity here. A generative response often needs specific evidence to answer a narrow question. A smaller business may be useful because it publishes original local data, clearer service information, a specialist comparison, first hand experience, a transparent cost guide or a more relevant local case study. However, niche relevance does not automatically overcome weak authority or absent third party proof.
AI Visibility Is Not One Outcome
This is a critical distinction most GEO guides miss. Being 'visible in AI search' can mean five very different things.
Outcome | What it means |
Mention | The brand is named in the answer |
Recommendation | The brand is presented as a suitable option for the query |
Citation | A business controlled or third party page is linked as evidence |
Information use | The answer uses facts from a page without prominently naming the source |
Referral | The user visits the site, searches the brand, opens a map result or contacts the business |
A business may be cited but not recommended, recommended based on a directory rather than its own site, mentioned inaccurately or contribute information without attribution. Understanding these distinctions matters for measurement. Our zero click search strategy covers the broader shift toward measuring value beyond clicks.
A citation is useful, but it is not the only form of AI visibility and it is not automatically a commercial result.
There Is No Single AI Ranking Position
One manual check of a single prompt is not a credible GEO report. Answers can change based on prompt wording, follow up context, user location, search history, date, model, platform, whether web search is triggered, source freshness and how the question is phrased.
Example: These three prompts may produce very different answers:
'Best SEO agencies in Melbourne'
'Melbourne SEO agencies for a small plumbing business with a $3,000 monthly budget'
'Which Melbourne agencies publish transparent SEO pricing and work with local service businesses?'
Do not promise clients 'We will rank you number one in ChatGPT.' A defensible goal is: improve the frequency, accuracy and quality of brand inclusion across a defined set of commercially relevant prompts.
How Generative Systems Find Business Information
Your website is one source of truth. It is not the only source an AI system may consult.
Owned sources: Website, service pages, product pages, reports, case studies, author profiles, FAQs, datasets, help documentation.
Search and map sources: Google Search, Google Business Profile, Bing, Apple Maps, local business records.
Third party sources: News articles, directories, industry associations, review platforms, comparison websites, marketplaces, professional registers, supplier pages, event listings, academic and government sources.
Platform specific sources: Product feeds, booking partners, restaurant reservation providers, ecommerce platforms, public business databases.
ChatGPT Search can return cited web sources and may use third party search providers. It also uses location information to improve local recommendations. For local businesses, Google Maps ranking factors and Australian local citations both feed into this ecosystem.
Start With Entity Clarity
An AI system must understand what the business is before it can recommend it confidently. Create a canonical entity record containing the legal or trading name, preferred public name, business type, services, locations, phone, website, founders, leadership, credentials, industries served, service area, social profiles and registrations.
Entity problems to audit:
Several businesses with the same or similar name
Inconsistent spelling or abbreviations across the web
Old domain or former office address still appearing in search
Mixed business categories across directories
Founder described differently across sites
Legacy brand not connected to the current brand
Local branch confused with the national entity
Strengthen your About page, Contact page, team profiles, location pages, service pages and author profiles. Use structured data through schema markup to clarify organisation and local business details, but remember the markup must reflect visible, truthful page information.
Entity optimisation begins with consistency, not schema.
Structured Data Helps Understanding, but There Is No 'GEO Schema'
Use appropriate structured data types: Organization, LocalBusiness, Person, Article, Product, Dataset, Event and others where supported. Schema can clarify entities, connect people and organisations, expose structured facts, define authorship and describe dates and locations.
What schema cannot do:
Force an AI citation
Prove a claim is true
Replace visible content
Guarantee a recommendation
Manufacture authority that does not exist in the real world
Google explicitly says its AI features do not require any special schema.org markup beyond normal supported structured data practices. Use our Local SEO Readiness Checker to assess whether your local business data is complete and consistent.
Write Content That Can Be Extracted Without Becoming Robotic
AI friendly content should still be written for people. The goal is not to write in fragments for machines. It is to make the reasoning easy to identify, verify and quote accurately.
Make the Answer Visible
For important questions, include a direct opening explanation. For example: 'SEO for a Melbourne small business commonly costs between X and Y, depending on competition, location, content requirements and technical scope.' Then explain assumptions, exceptions, evidence, methodology and the appropriate next step.
Use Clear Content Units
Helpful formats include definitions, numbered steps, comparison tables, criteria lists, pros and cons, sourced statistics, timelines, worked examples and clear limitations. Keep nuance close to the claim. Do not place a strong number at the top and hide its limitations 1,500 words later.
Use Descriptive Headings
Weak: 'Things to know.' Stronger: 'What changes the cost of SEO for a local service business?' Use our Meta Title and Description Checker to check how your headings and meta elements read in search results.
Google recommends keeping important content available in text, even where images and video support it.
Build a Claim Inventory, Not Just a Content Calendar
This is a gap most GEO guides miss. Create an inventory of claims the business wants search systems to understand: services provided, areas served, years operating, certifications, pricing ranges, delivery coverage, product specifications, methodology, client outcomes, industry specialisation and team experience.
Claim | Owned source | External support | Checked | Reviewer | Risk |
Serves Melbourne SMEs | Service/About page | Directory profiles | Current | Marketing | Low |
20 years' experience | Team page | Professional profile | Current | Director | Medium |
Average customer saving | Research report | Independent coverage | Review needed | Analyst | High |
Certified partner | Partner page | Provider directory | Expiry date | Operations | Medium |
AI visibility can fail because the claim exists only in marketing copy, different pages use different figures, an old third party page contradicts it, no date or methodology is provided or the claim is too vague to verify.
Original Research Is One of the Strongest GEO Assets
AI systems need evidence to answer questions. Useful original assets include industry cost reports, benchmark datasets, local surveys, pricing audits, calculators with methodology, annual trend reports, original experiments, aggregated customer questions, market comparison tables and expert interviews.
Every research asset should include:
Methodology and sample size
Publication date, author and reviewer
Limitations and source list
Downloadable tables and citation instructions
Update schedule
AI systems cannot cite expertise that was never documented.
Link Building Is Not Being Replaced by Mention Building
Some GEO guides suggest that links are becoming less important and that brand mentions are the new authority signal. That is an oversimplification.
Links still matter for: Discovery, crawling, traditional authority, referral traffic, source relationships and local prominence.
Mentions add another layer: A useful mention in a news article, industry roundup, professional directory, association profile, podcast transcript, conference page or supplier case study can support how AI systems understand and describe a business.
The strongest outcome is both: A relevant third party source that names the business, describes it accurately, provides context, links to it and has its own authority and audience.
GEO does not turn backlinks into yesterday's tactic. It broadens authority building from 'Who links to us?' to 'Where is our expertise independently described and verified?'
Third Party Evidence May Matter More Than Self Description
A business can publish 'We are Melbourne's leading digital marketing agency.' That is a claim, not independent proof. Stronger supporting evidence includes verified reviews, professional register entries, industry listings, partner directories, editorial comparisons, client case studies, journalist quotations and awards with clear criteria. For how to build genuine trust signals, see our guide on demonstrating real experience and trust through E-E-A-T.
The website should contain the clearest facts. The wider web should contain independent evidence supporting them.
Local GEO Is Partly a Business Data Problem
For a local Australian business, an AI recommendation may depend on location, category, opening hours, service area, reviews, booking availability, map data, website relevance, directory profiles, local articles and professional registers.
Audit:
Google Business Profile
Apple Maps and Bing Places
Yellow Pages, True Local and relevant industry directories
Booking and review platforms
Industry registers and professional bodies
Chamber of commerce or local council profiles
Website location pages
Local GEO cannot remove proximity. It can improve the accuracy and strength of the evidence available when a business is geographically eligible to be considered.
Crawler Access and AI Controls Need to Be Understood Separately
Google AI Features
Google says a page must be indexed and eligible for a normal search snippet to appear as a supporting link in AI Overviews or AI Mode. No separate AI text file or special markup is required. The Google Search Central documentation covers this in detail.
ChatGPT Search
OpenAI says inclusion in ChatGPT Search requires allowing OAI SearchBot and ensuring hosting or CDN systems permit traffic from OpenAI's published crawler details. Top placement is not guaranteed. Businesses should distinguish between crawler access for search visibility and controls related to model training.
Technical checks:
Is robots.txt blocking any important bots?
Are CDN or firewall rules blocking AI crawlers?
Are noindex, nosnippet or max snippet tags restricting content?
Is JavaScript rendering preventing content from being accessed?
Are canonical tags correct?
You cannot be cited from a page the search system cannot reliably access.
Where llms.txt Fits and Where It Does Not
llms.txt is an emerging proposal intended to offer machine readable guidance to language model systems. However, it is not a universal web standard, it does not guarantee crawling or citation, it does not replace robots.txt or XML sitemaps and Google says no special AI text file is needed for its AI features. OpenAI's published guidance focuses on OAI SearchBot access rather than requiring llms.txt. Adding it may be a reasonable low risk experiment for a well maintained site, but it should sit behind crawlability, content quality, entity clarity and evidence in the priority list.
Content Freshness and Brand Ambiguity
Outdated Content Shapes AI Answers
AI answers may reuse outdated information from old service pages, archived PDFs, former employee profiles, stale directory listings, outdated price guides, superseded legal articles, previous office addresses or old product descriptions. Create a content lifecycle (current, under review, superseded, archived, removed) and prioritise freshness for prices, service availability, locations, opening hours, legal requirements, statistics, staff, qualifications and annual data.
When important information changes, update the canonical page, correct third party profiles, add a visible update note where appropriate and update structured data. GEO is not only about getting into an answer. It is about reducing the chance that an old answer survives after the business has changed.
Brand Ambiguity Can Derail AI Recommendations
An AI system may confuse two businesses with similar names, an Australian company and an overseas one, a parent and subsidiary, a founder and the brand or a former and current trading name. Strengthen disambiguation through consistent full business name, clear Australian location, About page, organisation schema, same as links to official social profiles, founder and leadership pages, domain consistency and professional registrations.
AI Reputation Management Is Part of GEO
A business can be visible in AI search for the wrong reasons. Monitor whether generated answers describe your quality, complaints, pricing, services, location, reputation, ownership, qualifications and customer support accurately.
Separate three problems:
Factual error (wrong address, wrong service, wrong founding date). Fix at the source.
Outdated information (discontinued service, old pricing, former staff). Update owned and third party sources.
Negative but legitimate opinion (critical customer review). Do not try to bury it. Respond appropriately and build credible positive evidence.
For the compliance side of claims and online presence, see our Australian website compliance checklist.
Measure GEO With a Repeatable Prompt Set
One search is not measurement. Create a tracked prompt library covering brand prompts ('What does [brand] do?'), category prompts ('Best [service] in Melbourne'), problem prompts ('Who can help with [issue]?'), comparison prompts ('[Brand] versus [competitor]'), local prompts ('[Service] near [suburb]') and evidence prompts ('What does [service] cost in Australia?').
For each prompt, record:
Platform, model, date and location
Whether the brand was mentioned, cited or recommended
Which source was cited
Factual accuracy and sentiment
Competitors included
Whether the answer generated referral traffic
Run important prompts several times and test sensible paraphrases. Answers vary between runs.
GEO metrics to track:
Mention rate, recommendation rate and citation rate
Owned site citation rate versus third party citation rate
Factual accuracy across prompts
Competitor share of answer
AI referral sessions and conversions
Branded search movement
GEO measurement should look more like a visibility study than a traditional rank tracker.
Common GEO Myths
Myth | Reality |
GEO replaces SEO | GEO depends heavily on the same discoverability and quality foundations |
Schema guarantees AI citations | Schema clarifies facts but cannot force inclusion |
llms.txt makes a site rank in ChatGPT | It is not a guaranteed inclusion or ranking mechanism |
AI engines only use top ranking Google pages | Source selection varies by platform, query and retrieval process |
More brand mentions always improve visibility | Relevance, source quality and context matter more than volume |
Backlinks no longer matter | Links still support discovery, authority and referral traffic |
One prompt test proves visibility | Answers vary and need repeatable measurement across platforms |
Publishing more AI written content improves GEO | Scaled low value content can weaken trust and differentiation |
Local businesses only need their website | Maps, directories, reviews and third party platforms also supply data |
You can guarantee a ChatGPT recommendation | No platform offers guaranteed organic recommendation placement |
A 90 Day GEO Plan for Australian Businesses
Phase | Focus | Actions |
Days 1 to 30 | Establish the foundation | Define priority commercial prompts. Audit crawlability and indexing. Check OAI SearchBot access. Review robots and CDN settings. Create the canonical entity record. Audit Google Business Profile and directories. Review organisation and local business schema. Identify conflicting names, addresses and services. Benchmark current AI answers. Record factual errors. |
Days 31 to 60 | Strengthen content and evidence | Improve priority service pages. Add direct answers and comparison tables. Add named authors and reviewers. Cite authoritative sources. Publish one original data or methodology led asset. Update old statistics. Improve About, team and location pages. Connect articles to commercial pages. Add missing structured data. Correct major third party listings. |
Days 61 to 90 | Build corroboration and measurement | Earn relevant industry mentions. Contribute expert commentary. Publish a partner or supplier case study. Promote original research. Build local and professional citations. Rerun the prompt benchmark. Compare platforms and prompt variations. Track AI referrals and branded searches. Create a quarterly monitoring process. Document content review ownership. |
For a broader technical audit to run alongside this plan, use our 30 minute SEO audit checklist to check the fundamentals.
FAQs
What does GEO stand for?
GEO stands for Generative Engine Optimisation. It describes work intended to improve how content or brands appear within AI generated answers.
Is GEO replacing SEO?
No. Google says normal SEO best practices remain relevant for AI Overviews and AI Mode, with no separate technical requirements for inclusion. GEO builds on top of SEO, it does not replace it.
How do I get my business mentioned by ChatGPT?
There is no guaranteed placement method. Ensure the site is accessible to OAI SearchBot, publish reliable and relevant information, strengthen entity clarity and build credible third party evidence.
Does ChatGPT use Google rankings?
ChatGPT Search can use web search and third party search providers, but businesses should not assume its source selection mirrors a Google results page. OpenAI states that prompts may be rewritten into one or more targeted searches.
Do I need llms.txt?
It is optional and experimental. Google says no special AI text file is required for its AI features, while OpenAI's search guidance focuses on allowing OAI SearchBot.
Does schema help with GEO?
Schema can help systems understand entities and facts, but it does not guarantee that a page or business will be cited.
Are backlinks still important for AI search?
Yes. Links still contribute to discovery, authority and referral traffic. GEO also expands attention toward contextual brand mentions and independent corroboration, but this supplements links rather than replacing them.
Can a small business compete with a large brand in generative search?
It may compete for specific questions where it provides stronger local, specialist or first hand evidence. That does not eliminate the need for credibility and third party support, but specificity can be a genuine advantage.
How do you measure GEO?
Track a defined prompt set across several platforms and repeated runs. Measure mentions, recommendations, citations, factual accuracy, competitor inclusion, referral traffic and conversions. One prompt tested once is not measurement.
Can GEO guarantee more website traffic?
No. An AI answer may increase brand visibility without producing a click. Measurement should include brand searches, enquiries, referrals and recommendation frequency, not traffic alone.
What We Recommend at Elev8d
We approach GEO as an extension of what we already do: making the business easier for search systems to find, understand and trust. That starts with the same technical SEO, content quality and local visibility foundations covered in our approach to local search for Melbourne businesses. GEO adds entity clarity, claim inventory, third party evidence building, crawler access audits and repeatable prompt monitoring on top of that work.
For most Melbourne businesses, the practical GEO starting point is three things: making sure the business entity is described consistently across the web, publishing content that contains verifiable facts rather than just opinions and building genuine third party evidence through directories, reviews, industry mentions and original research.
We can help you audit your current AI visibility, fix entity inconsistencies, strengthen the evidence behind your claims and build a monitoring process. The goal is not to game a chatbot. It is to make your business easier to verify, recommend and trust.
Next Steps: Pick Your Path
Path 1: Benchmark your current AI visibility
Run the prompt set described in this article across Google AI Overviews and ChatGPT. Record whether your business appears, how it is described and what sources are cited. That gives you a starting point.
Path 2: Fix foundations first
If your website has crawlability issues, weak service pages, inconsistent business data or missing structured data, fix those before investing in GEO specific work. Use the SEO audit checklist and the 90 day plan in this article as your roadmap.
Path 3: Get expert help
If you want a structured approach to AI visibility, get in touch. We will audit your entity clarity, crawler access, content evidence, third party signals and current AI answers, then build a plan that extends your SEO work into generative search.
GEO is not a replacement for SEO. It is the discipline of making a business and its evidence easier for generative search systems to find, understand, verify and use when constructing an answer.
Sources and Further Reading
Google: AI Overviews and Your Website - How Google's AI features work and what site owners should know.
Google: Creating Helpful Content - People first content quality guidance.
OpenAI: ChatGPT Search Publisher FAQ - OAI SearchBot access requirements and publisher guidance.
Google: Structured Data Documentation - Supported schema types and implementation guidance.
Google: Search Quality Rater Guidelines - E-E-A-T framework and YMYL classification.
ACCC: Advertising and Promotions - Truthful claims and business representation guidance.
General information only. Rules vary by situation, particularly around advertising claims, privacy, reviews and consumer law. If you are unsure about compliance, get professional advice.