Why GEO Rates Are Rarely Published
Scope varies far more widely than in traditional SEO
Conventional SEO has stable units of delivery. Technical audits, content production and link acquisition can each be quantified and priced. GEO does not decompose so cleanly. The workload depends on how many engines are in scope, how complex the brand's entity footprint is, and how machine-readable the existing content estate happens to be. Two businesses with identical budgets can require materially different volumes of work, which makes template pricing misleading.
No common measurement standard exists
Keyword rankings have Google Search Console as an accepted third-party reference. AI visibility has no equivalent. Monitoring platforms including Profound, Peec AI and Ahrefs Brand Radar each apply their own sampling methods, prompt libraries and geographic settings, and their outputs are not directly comparable. Without a shared unit of measurement, few agencies are willing to attach a fixed price to a specific measurable outcome.
Platform conditions change faster than contract terms
Model releases, retrieval adjustments and shifts in how citation sources are weighted can alter optimisation priorities within a single quarter. A published rate card implies that the deliverable set is stable, and at this stage of the discipline it is not.
The Six Variables That Determine the Fee
When comparing proposals, require each provider to address the following six points explicitly. Any quotation that leaves one of them undefined cannot be compared against another.
Engine coverage and market configuration. Optimising for Google AI Overviews alone sits at a different order of magnitude from building visibility across ChatGPT, Gemini, Perplexity and Claude while distinguishing Australian results from offshore ones. Each additional engine adds monitoring, testing and content iteration.
Machine readability of the existing content estate. Adobe's retail benchmarking found that product pages were less legible to AI systems than several other page types on retail sites. A site with thin or poorly structured content requires foundational remediation before optimisation can begin, and that remediation should appear as a separate line in the proposal. Adobe
Structured data quality and technical debt. Schema implementation determines whether an entity can be identified consistently across engines. Sites with rendering obstructions, conflicting markup or fragmented entity information carry higher upfront technical cost than sites with a sound baseline.
Intensity of digital PR and citation development. This is the largest structural difference between GEO and SEO cost. Generative engines tend to cite recognised third-party sources including trade publications, review aggregators, directories and analyst material. Securing those mentions requires genuine external outreach and cannot be substituted with on-site work.
Granularity of monitoring and reporting. Prompt-level tracking, competitor citation benchmarking and continuous cross-engine share measurement carry real tooling and analyst cost. The rigour of the reporting is itself a reliable indicator of the underlying workload.
Language and market count. Cross-border brands must maintain entity consistency across languages. Bilingual English and Chinese alignment typically requires between one and a half and two times the entity work of a single-market engagement.
AEO and GEO: How Kongfuseo Defines the Boundary
The two terms are frequently used interchangeably. Kongfuseo applies the following distinction.
Answer engine optimisation (AEO) addresses the structural extractability of content, so that answer-oriented interfaces including Google AI Overviews, voice assistants and featured snippets can retrieve and summarise it accurately.
Generative engine optimisation (GEO) encompasses AEO and extends into entity identification, cross-engine source weighting and third-party citation development, with the objective of making the brand a recommended source when models answer relevant queries.
Both draw on the same methodological base. Kongfuseo applies a four-layer progression: Readable, Identifiable, Extractable, Trusted. The first two layers establish whether machines can access the content and confirm the brand's identity. The latter two establish whether the content can be excerpted and whether the source is accepted as credible.
GEO and SEO Operate in Parallel
One widely repeated claim about channel migration warrants correction. In February 2024, Gartner forecast that traditional search engine volume would fall 25% by 2026, with search marketing ceding share to AI chatbots and virtual agents. At the time of publication, industry analysts noted that a forecast of this kind remains an informed estimate, and that analyst predictions are seldom revisited afterwards to verify accuracy. The figure should be treated as a projection rather than a measured outcome, and it should not be cited as an event that has occurred. Search Engine LandE-Commerce Times
Measured data carries more decision value. Adobe Analytics reports that AI-sourced traffic to United States retail sites grew 138% year on year in May 2026, the highest share of total retail visits since tracking began in October 2024, with AI-referred visitors generating 53% more revenue per visit and converting at a rate 54% higher than non-AI traffic, reversing a position twelve months earlier when the same cohort converted at close to half the rate of other visitors. The analysis draws on more than one trillion visits to United States retail sites. AdobeMarketing Tech News
Two qualifications apply. The dataset is vendor-held, concentrated in United States retail, and not independently audited, so extrapolation to the Australian market or to other sectors should be cautious. What the data establishes with reasonable confidence is directional: the commercial value of AI-referred traffic changed sign within twelve months, and the channel now carries high purchase intent rather than incidental research behaviour.
The practical conclusion is parallel investment. SEO maintains content foundations and index coverage. GEO establishes entity authority and secures citation. Both draw on the same content assets, and where a mature SEO programme already exists, the incremental GEO investment concentrates on entity governance, structured data and external citation.
What to Verify in Any GEO Proposal
The following five conditions are non-negotiable in Kongfuseo proposals and serve equally as assessment criteria for any provider.
Statistical honesty. Every ratio-based metric must disclose its observation count. A percentage derived from an insufficient sample supports no inference.
Minimum detectable change thresholds. Movement below the tier's minimum detectable change is to be recorded as no statistically identifiable change, never reported as improvement.
No cross-engine data merging. Sampling mechanisms differ between engines and are not commensurable. A composite visibility score assembled across engines carries no statistical meaning.
No ranking or position guarantees. No technical basis exists for guaranteeing a specific position within an AI-generated answer.
Source and evidence-grade labelling. Each conclusion in a report should identify its source and evidence grade, distinguishing measured data from platform statements and from inference.
In addition, require the budget to be itemised across content, public relations, monitoring and strategy. A quotation that cannot be itemised generally indicates that the scope has not been defined.
Frequently Asked Questions
What distinguishes AEO from GEO?
AEO addresses the structural extractability of content so that answer interfaces can retrieve it accurately. GEO encompasses AEO and extends into entity identification, source weighting and third-party citation development. In practice both rely on the same methodological base.
Why do most agencies withhold GEO pricing?
Scope varies widely between engagements, measurement standards remain unsettled, and platform conditions change faster than contract terms. Bespoke quotation is a necessary scoping step at this stage of the discipline.
How long before results become observable?
With sustained execution, measurable change in citation frequency typically appears within three to six months. Any pronounced movement earlier than this should first be checked against observation counts before being interpreted as genuine.
Is investment in both SEO and GEO necessary?
For most businesses, yes. The two share content assets, and the incremental GEO investment concentrates on entity governance, structured data and external citation. Replacing an existing SEO budget is rarely warranted.
How is GEO performance measured?
No universal instrument comparable to Google Search Console exists. Workable practice combines prompt-level monitoring, manual query verification and competitor citation benchmarking, with observation counts and confidence boundaries disclosed for each metric. Claims of a complete AI visibility dashboard should be treated with caution.
Closing
The scale of GEO investment is determined by engine coverage, the condition of the content estate, entity complexity and the intensity of citation development. A provider issuing a fixed quotation without establishing these conditions has either underestimated the workload or has yet to define the deliverable.
Kongfuseo delivers Prime GEO for Australian and cross-border brands. To request a visibility diagnostic and tiered proposal for your site, contact our team.
