SEO vs AEO vs GEO: Which Should Your Business Prioritise?

What SEO, AEO and GEO Actually Mean

These three disciplines are not interchangeable, and they are not sequential evolutions where each new acronym replaces the last. They target different user behaviours and require different (though overlapping) tactics.

GEO (Generative Engine Optimisation)

GEO is the practice of optimising for visibility within AI-generated responses in tools that perform live web retrieval, including Perplexity, Google AI Overviews and Bing Copilot. It works by combining the indexability requirements of SEO with the extraction-friendly formatting requirements of AEO, because these tools retrieve live web content and then summarise it.

GEO sits at the intersection of the other two disciplines. If your page is not indexable, no AI retrieval tool will find it (an SEO failure). If your content is not structured for extraction, the retrieval tool may find it but not cite it meaningfully (an AEO failure). Both conditions must be met.

Comparison: SEO vs AEO vs GEO

Are SEO, AEO and GEO Really Separate Disciplines?

They share a technical foundation: factually accurate content, structured formatting, and domain authority all benefit all three disciplines. But they diverge in what they optimise for and how you measure success.

SEO is designed to earn a click. The user sees your listing, clicks through, and lands on your site. Every standard analytics tool is built around this model. AEO is designed to earn a citation in a response that may never produce a click at all. The user asks ChatGPT a question, ChatGPT incorporates your content into its answer (with or without naming you), and the conversation ends. GEO falls between the two: the AI tool retrieves live web pages, so a click is sometimes possible, but the user may read the AI summary without ever visiting your site.

This matters for budget decisions because the return on investment looks different for each discipline. SEO return is measurable through traffic and conversions. AEO return is measurable mainly through brand awareness and, eventually, the influence it has on purchase decisions that convert through other channels. Businesses that need direct, attributable leads today should weight their investment accordingly.

The more important point is that strong SEO creates the foundation AEO and GEO depend on. AI models, when selecting content to cite, favour pages from established, authoritative domains. A business with weak domain authority and thin content will find AEO and GEO work less effective, not because the tactics are wrong, but because the underlying credibility signals are missing. The reverse is not true: a perfectly optimised FAQ page will not materially improve your Google keyword rankings.

Which Discipline Should You Prioritise First?

The Four-Question Priority Test

Work through these four questions in order. Your answers determine the correct sequencing for your investment.

1. Question 1: Does your business currently rank on page one of Google for its core service or product keywords?

   If no, SEO is your immediate priority. AI models draw heavily on authoritative, well-ranking content when forming citations. Building AEO or GEO strategies on a weak SEO foundation is like optimising a storefront that customers cannot find. Allocate the bulk of your budget to technical SEO and content authority before adding AEO-specific work.

   If yes, you have a functioning foundation and can begin layering AEO tactics into your existing content production process.

2. Question 2: Do your target customers actively use conversational AI tools to research purchases or services in your category?

   This is not a rhetorical question. B2B technology buyers, professional services clients and higher-education researchers are more likely to use ChatGPT or Gemini in their research process than someone searching for a local plumber or a restaurant booking. If your customers are in the first group, AEO warrants earlier investment. If they are in the second, the volume of AI-driven enquiries reaching you today is likely low enough that SEO remains the higher-return priority.

3. Question 3: Is your existing content already structured with clear definitions, FAQ sections and factual, citable claims?

   If yes, AEO work is largely an audit and restructuring exercise. Much of the effort required is reformatting content you already have, implementing schema markup and filling specific gaps. The incremental cost is manageable alongside an existing SEO retainer.

   If no, your content needs structural work regardless of which discipline you prioritise. That work serves SEO and AEO simultaneously. Do not treat it as an AEO-only expense.

4. Question 4: Can your business produce at least two to four substantive, well-researched articles or content pieces per month on an ongoing basis?

   AEO and GEO depend on content volume and topical authority. A site with twelve well-structured, factually grounded pages covering a topic cluster will outperform a site with one glossy landing page, both in Google results and in AI citation likelihood. If you cannot sustain that production rate, your budget is better concentrated on fewer, higher-quality SEO-focused assets before spreading it across multiple disciplines.

Scenario-Based Recommendations

A local service business with no current SEO presence. A plumbing company, accountancy firm or allied health practice that does not yet rank for its local service terms should invest entirely in foundational SEO: local citations, Google Business Profile optimisation, service page content and technical health. AEO activity can be introduced once core keyword rankings are established, primarily through FAQ sections on existing service pages and structured content addressing common client questions. Splitting the budget at this stage produces weaker results across both disciplines.

A B2B SaaS or professional services firm with established SEO and blog content. This is the scenario where AEO investment has the clearest near-term case. If your content is already ranking and your target audience includes decision-makers who use AI tools for vendor research, restructuring existing content for AI extraction, implementing FAQ and Article schema, and monitoring your citation presence in ChatGPT and Gemini is a natural extension of your content programme. The marginal cost is lower because the foundation already exists.

An e-commerce business competing on product terms. GEO is the most relevant emerging discipline here, specifically optimising product and category pages for Google AI Overview visibility. However, traditional SEO for product terms remains the primary driver of attributable revenue. AEO is less immediately applicable because users asking ChatGPT about a product category are not yet converting at measurable rates through that channel for most retail categories. Prioritise GEO as a supplement to core SEO, not a replacement.

What AEO and GEO Work Involves in Practice

Before evaluating an agency’s proposal or deciding whether to bring this work in-house, you need to understand what is actually being delivered.

Content auditing for AI-extractable structure. This involves reviewing existing pages to identify whether content answers specific questions directly, whether definitions are present and well-formed, and whether the page structure allows an AI model to locate and extract a discrete answer. It is similar to a standard content audit but evaluated against AI citation criteria rather than purely against keyword rankings.

FAQ and definition block creation. Writing clear, self-contained answers to common user questions in a format that matches how AI models extract content. Each answer needs to be factually precise, under approximately 80 words, and written so it makes sense without surrounding context.

Schema markup implementation. Adding structured data in FAQPage, HowTo, and Article schema formats so that Google and AI retrieval tools can parse the content type and extract it accurately. This is technical work that requires developer access or a capable CMS plugin.

Authority and citation building. AI models favour content from sources that are already cited and referenced across the web. Building mentions in credible industry publications, directories and third-party sources increases the probability that your content is treated as an authoritative reference. This overlaps substantially with link-building activity in traditional SEO.

Monitoring AI platform responses. Regularly querying ChatGPT, Claude, Gemini and Perplexity with target questions and recording whether your brand or content is cited. This is currently a manual process for most businesses, though specialist monitoring platforms are emerging.

How Much Does AEO and GEO Optimisation Cost in Australia?

Publicly available pricing benchmarks specifically for AEO and GEO work in the Australian market are limited, because these services are relatively new and agencies package them differently. The following ranges are indicative of the Australian agency market based on comparable content and technical SEO service pricing.

A content-focused SEO retainer covering technical health, content production and link building typically ranges from $1,500 to $5,000 per month for small-to-mid-size Australian businesses, depending on content volume and competition level.

AEO-specific work, when scoped as an add-on to an existing SEO retainer, typically adds $500 to $1,500 per month. This covers content restructuring, schema implementation and monthly citation monitoring. Priced as a standalone service without an accompanying SEO retainer, the range rises to approximately $1,000 to $3,000 per month because the agency must maintain broader oversight of technical and content health.

A one-off AEO content audit and restructure project, covering an existing site of ten to thirty key pages, typically ranges from $2,000 to $6,000 depending on site size and the volume of content that requires restructuring. Schema implementation adds to this cost if it is not already in place.

The variables that most affect cost are site size (more pages means more audit and implementation work), existing SEO health (poor technical foundations increase scope), content volume (more existing content to restructure), and reporting requirements (custom AI citation monitoring dashboards cost more than manual monthly reporting).

One important note: because AEO and GEO work overlaps heavily with good content SEO practice, businesses with a mature SEO programme are not starting from zero. The true incremental cost is lower than quoted prices suggest when you account for work that would be done anyway as part of content quality improvement.

How to Measure Whether AI Search Optimisation Is Working

Measuring AEO Performance

The most accessible method is manual prompt testing. Query ChatGPT, Claude and Gemini with the specific questions your target customers are likely to ask, and record whether your brand, website or content is cited in the response. Do this monthly, document results in a simple spreadsheet, and track changes after content restructuring or new content publication.

Perplexity is a partial exception to the attribution problem: it sends trackable referral traffic in some configurations, meaning you can observe Perplexity-sourced sessions in Google Analytics. Monitor this traffic segment and correlate spikes with content updates.

Emerging platforms such as Profound, Brandwatch and a growing number of AI monitoring tools are building products specifically for tracking brand mentions across AI platforms. These tools are relatively new and capabilities are changing; verify current feature sets and pricing before committing to a subscription.

Tracking which specific content pieces appear in AI citations, and comparing citation rates before and after structural changes, gives you the most actionable signal for what is working.

Measuring GEO Performance

Google Search Console provides some visibility into AI Overview performance. Where available, impression and click data for AI Overview placements can be filtered in the performance report. Monitor this data for pages you have specifically optimised for extraction.

Branded search volume in Google Trends or via Search Console is a useful proxy metric. If AI platforms are recommending your business to users who then search for you by name, branded search volume should reflect that over time. It is an indirect signal, but it is measurable through tools you already have.

The Measurement Gap (and What to Do About It)

Be clear-eyed about what is not yet measurable. ChatGPT and Claude do not pass referral data to your analytics platform. If a user asks ChatGPT to recommend an accountant in Brisbane and your firm is named, you have no direct way to know that the subsequent phone call or contact form submission came from that recommendation. Standard last-click attribution will credit whatever the user’s final touchpoint was, which might be a Google search for your firm name.

The practical response is to use a combination of three signals: monthly manual prompt testing, branded search volume monitoring, and direct customer enquiry at point of contact asking how they heard about you. None of these is a perfect measurement, but together they build a reasonable picture of AI-driven awareness and its conversion into leads.

Set realistic expectations with your team or stakeholders: direct attribution from AI platforms to revenue is not possible with current tools for most businesses. This does not mean the investment has no value; it means the measurement model needs to match the channel’s current capabilities.

Frequently Asked Questions

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