The short answer
Ask what the proposed GEO work changes on your website, which AI service it concerns and how the result will be measured. Some work may be useful, but a new name should not turn tasks already included in SEO into a second unexplained charge.
Read the worklist behind the label
A proposal arrives promising to make your business visible in AI answers. It sounds timely. Then you read the worklist: rewrite service pages, improve internal links and add structured data. You thought those things were already part of your SEO work.
The useful question is not whether GEO is a legitimate acronym. It is whether the proposal solves a specific problem for your business, adds work you actually need and gives you evidence you can understand.
Start with where your customer is looking
GEO usually means work aimed at discovery in generated answers. That can involve different products and different ways of presenting information. A claim about Google Search should not quietly become a claim about every assistant on the market.
Ask the provider to name the service being considered and the customer questions that matter. 'Improve AI visibility' is too broad to evaluate. 'Make our service, coverage and exclusions easier to understand when someone compares providers' is a clearer starting point.
A worked example
Suppose your SEO agreement already includes improving service content and internal links. A second proposal offers the same tasks under a GEO label.
Where it goes wrong
You approve both because the labels sound like different channels, then receive two reports describing essentially the same page changes.
What to do instead
Put shared tasks in one worklist. Ask the second provider to identify genuinely additional checks, their intended platform and the evidence they will deliver.
This makes the scope easier to buy and review. It does not assume that all GEO work is unnecessary or that every provider charges twice.
The foundations still do much of the work
For Google Search, official guidance places optimisation for generative features within SEO. Useful pages, accessible information, relevant links and accurate business facts still matter. There is no reason to keep a vague service page vague while buying a separate layer of supposed AI magic.
Useful additional work might include checking how a defined set of answers represents your business, correcting unclear source information or reviewing a platform-specific requirement. The proposal should distinguish those tasks from the website improvements already included elsewhere.
Agree what a useful report would actually show
A screenshot in which an assistant mentions your company proves that one answer mentioned your company. It does not prove how often customers see it, whether they visit your website or whether it creates enquiries. Those are different questions and may need different evidence.
Ask for the observation method, the period covered and the limits of the data. A good report can say that a result is unknown. It should also explain what was improved on your website and what the next sensible investigation is. Guaranteed mentions, rankings or enquiries deserve a more specific explanation before you commit.
Take this into your next conversation
Questions to ask your agency
- Which AI service and customer questions are in scope?
- Which tasks are additional to our existing SEO work?
- What will change on the public website?
- What can the proposed measurement prove?
Common questions
Should I ignore AI discovery?
No. Consider where your customers look for information. Start with clear, useful website content and add specific work when the platform, task and evidence justify it.
Can a provider guarantee that an AI answer will recommend us?
Ask what they control and what they are promising. A provider can deliver agreed website work and documented observations; those are different from controlling another company's generated answers.
Source notes
Platform guidance behind this topic:
From explanation to implementation
This guide is published by NAVIFLARE, a website, CRM and AI workflow practice. Source notes identify the platform guidance; worked examples explain a method rather than claim a client result.
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