Six GEO Claims Marketing Leaders Should Challenge

A GEO proposal lands in your inbox. It promises better visibility in AI search through metadata updates, a higher publishing cadence, and a campaign to get your company mentioned across the web.

The deliverables look tidy. The explanation of why your company needs them is the part worth examining closely.

For a Head of Marketing, that explanation matters more than the deliverable count. You need to know what problem each activity addresses, what evidence supports it, and how anyone will assess whether it helped.

Generative engine optimization, or GEO, covers work intended to improve visibility in AI search experiences. But the label doesn't change the basic questions you'd ask about any marketing spend. Can the relevant systems actually access your content, and does that content accurately explain your product? Are the claims supported? And is the provider measuring something that tells you whether any of this worked?

Before committing budget, here are six GEO claims worth challenging.

1. Fix your metadata and visibility will follow

Accurate page titles and descriptions are useful. They don't resolve every reason a company may be missing from an AI answer.

A provider should first investigate whether important pages are accessible and whether those pages answer relevant buyer questions. Rewriting metadata won't fix a blocked product page, and it won't replace missing information about what the product does, who it serves, or what a customer needs to implement it.

Google's guidance for AI search features says foundational SEO practices remain relevant. It also says no special schema or AI-specific file is required, and that meeting technical requirements doesn't guarantee crawling, indexing, or serving.

That is guidance about Google's own systems. Ask the provider to support recommendations for each platform with that platform's documentation or clearly described testing.

Ask what each technical recommendation actually fixes. "This product page is inaccessible to a relevant crawler" is a diagnosis. "You need AI-ready metadata" still needs an explanation.

2. Publish more content

Content volume is easy to put into a proposal. Ten articles a month, twenty new pages, a post every weekday. It looks like progress.

But why those pages?

Before approving a publishing target, ask which information is currently missing. For a B2B company, the gaps may include:

Which teams the product serves
What a specific workflow looks like
Which capabilities are currently available
What integrations or implementation requirements apply
When the product is a good fit and when it isn't

Those gaps should shape the content plan.

Imagine a buyer evaluating reporting software. They may need to understand supported data sources, dashboard permissions, and implementation requirements. Another broad article about why analytics matters won't answer any of that.

Ask for a content-gap assessment tied to your product and buying process. Every proposed page should have a clear audience, a purpose, and a source of evidence behind it. If the provider can explain the monthly output target but not the information gaps behind it, the plan is starting in the wrong place.

3. Positioning can wait until after optimization

Sometimes your own descriptions don't agree with each other. The homepage calls it an automation platform, the product pages read like a writing tool, and an external profile somewhere describes an analytics company.

Which description should an AI system rely on? More importantly, which one should a buyer believe?

Before distributing those descriptions more widely, resolve the disagreement. Clear positioning gives your team an approved basis for explaining what the company does, who it serves, and why buyers should consider it. It also reduces the contradictions across the information floating around about your business.

Start with a concise, accurate company description. Then compare it with your homepage, product pages, use-case pages, directory listings, and other important external profiles.

Consistency doesn't mean copying the same paragraph everywhere. A product page should explain capabilities in detail, while a directory profile may only allow a few sentences. The format can change while the underlying description stays accurate.

Ask the provider how they'll identify conflicting descriptions and who on your team will approve corrections. Product marketing and product experts should be involved. This isn't a wording exercise a consultant should settle alone.

4. Any external mention is a good mention

External coverage can give buyers information beyond what your company says about itself. But the source and substance matter.

An independent review describing a real customer experience offers something different from a page that simply repeats your company name. A detailed partner guide can explain how an integration works, while an irrelevant directory listing may add little useful context.

Google also cautions companies against seeking inauthentic mentions for its AI search features in its AI search guidance. Again, that is guidance about Google's systems specifically, but the practical question travels well across platforms: does the mention add credible information?

Ask where mentions will come from, why those sources are relevant, and how the provider will keep them accurate. Be skeptical of packages promising a large number of mentions without explaining the editorial process.

The useful target is substantive coverage that helps someone evaluate your company. A mention count by itself doesn't tell you that.

5. Add citations and AI systems will cite you

This claim combines two separate activities.

The first is supporting your content with credible sources, which is within your control. The second is having another system select your content as a source, and that part isn't guaranteed.

So do the part you control well. Use original research where you have it, link product claims to current documentation, and explain the conditions behind any customer result you cite. Check whether each source supports the exact statement attached to it.

Adding a reputable link beside an unrelated claim doesn't make the claim more credible. It just makes the page look sourced at a glance.

Ask the provider how they verify evidence, how they handle outdated sources, and how they separate an established fact from an interpretation. Credible citations make content easier for people and systems to verify. They're an evidence practice, not a guaranteed path to AI mentions.

6. This screenshot proves the strategy works

A screenshot documents one observed answer at one moment. It provides limited evidence of a broader pattern.

A useful measurement plan should define the platforms, buyer questions, dates, and testing conditions involved. It should also separate different outcomes:

A brand mention
An accurate product description
A linked citation
A website visit
An inquiry or conversion

Those outcomes answer different questions. A company can pick up more mentions without getting more cited visits. An answer can cite the website while describing the product inaccurately.

Ask for a baseline before changes begin. Agree on a repeatable set of relevant buyer questions and a reporting schedule. Where the data is available, examine referral traffic and conversions alongside the visibility observations.

And be careful with causation. A before-and-after comparison can show that something changed. It doesn't prove that one metadata edit, one article, or one external mention caused the result.

Prioritize demonstrated gaps instead of GEO activity

Prioritize the most consequential gaps found in your audit, beginning with access problems affecting key pages. Use this as a starting point, then adjust the sequence to the problems you find. Examine whether important pages explain the product clearly and answer real buying questions, and check the supporting evidence and accuracy of relevant external descriptions.

For example, resolve an access problem before expanding the affected content. Correct conflicting product descriptions before distributing them more widely. Where a claim lacks support, revise the claim or find evidence that directly supports it.

For each proposed task, ask the provider to document four things:

The problem observed
The recommended change
The person responsible
The evidence that will help assess progress

That gives your team a practical basis for comparing priorities. It also makes the plan easier to revisit when budgets, product capabilities, or market conditions change.

Questions to ask a GEO provider

Before hiring a consultant or approving a plan, ask:

Which AI platforms and buyer questions will you focus on?
What evidence supports your recommendations?
What would you prioritize first for our website, and why?
How will you address crawlability, positioning, and product content?
How will you verify claims and pursue credible external mentions?
What baseline and reporting method will you use?
Which outcomes can you influence, and which can't you guarantee?

A useful GEO provider should be able to connect every recommendation to an observed problem. If the plan begins and ends with deliverable counts, metadata changes, and screenshots, keep asking questions.