GEO for CMOs: The Three Questions to Ask Your Team This Quarter (2026,)

Most marketing teams are tracking AI visibility the wrong way, or not tracking it at all. If you're a CMO and you haven't asked your team a direct question about your brand's performance in ChatGPT, Perplexity, or Google AI Overviews this quarter, you're running blind on a channel that 89% of enterprise executives say is already driving measurable, positive business impact on the marketing funnel. Here are the three questions that cut through the noise and tell you where you actually stand.

Why GEO Has Become a C-Suite Problem in 2026,

AI search is no longer a speculative channel. It's where a significant and growing share of discovery happens, and most marketing teams are still treating it as an SEO side project. That gap between where buyers are looking and where brands are investing is where market share gets lost quietly.

The scale is hard to ignore. ChatGPT crossed 1 billion monthly active users in June 2026,. Google AI Overviews now reach over 2 billion monthly active users across 200+ countries. Claude's user base grew fourfold in five months. These are not niche research tools. They're primary information channels for buyers at every stage of the funnel.

At the same time, enterprises allocated an average of 12% of their digital marketing budgets to AEO and GEO in 2025, and that share is rising. The CMOs who treat this as a team-level executional concern are behind the ones treating it as a strategic measurement priority.

The three questions below are designed to give you a fast, honest read on where your team stands. They're not about whether your team is busy. They're about whether the work is producing visibility where it counts.

Question 1: Where Does Our Brand Actually Appear When Someone Asks AI to Recommend Us?

Your team should be able to answer this with data, not with confidence. "We think we're doing well on ChatGPT" is not an answer. A breakdown of brand mentions across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude, by query intent type, is an answer.

This is the foundational GEO question because it forces your team to distinguish between two very different things: visibility in traditional search and visibility in AI-generated answers. A brand can rank well organically and still be absent from every AI-generated recommendation in its category. The ranking and the mention are different events, produced by different mechanisms.

When you ask this question, you'll quickly find out whether your team has a prompt tracking practice or not. Most don't yet. They may have run a few manual tests, but they're unlikely to have a structured prompt set covering category queries, use-case queries, comparison queries, and recommendation queries across multiple markets. That's the gap you're diagnosing.

The follow-up question matters as much as the first one: are we tracking branded queries or category queries? Teams that only track "[brand name] vs [competitor]" are monitoring a small slice of where AI discovery actually happens. The higher-volume, higher-value queries are the unbranded ones: "what's the best [category] for [use case]?" That's where brands are won or lost in AI search.

If your team can't answer Question 1 with a structured breakdown, the immediate action is to build a prompt tracking practice. That means defining which queries matter, running them consistently across AI engines, and logging the results. Tools like BrandPrompts exist specifically to generate research-backed prompt sets that map the full query space, not just the obvious branded ones.

Question 2: Is Our Content Architecture Built for AI Retrieval, or Just for Google?

Your team has probably optimised your site for traditional search for years. That work isn't wasted, but it's not sufficient. AI search engines retrieve and synthesise content differently from how Google ranks pages, and most content that performs well in organic search is structured in a way that AI engines struggle to extract cleanly.

The practical differences matter. AI engines favour pages where the first paragraph under each heading directly answers the implied question. They favour structured content: lists, tables, clear heading hierarchies. They pull content in chunks, without the full-page context a human reader brings, so every section needs to make sense independently. A page where the key answer is buried in paragraph four of a 1,200-word article is not a well-optimised page for AI retrieval, even if it ranks well organically.

Ask your team to audit the ten pages most likely to win AI citations in your category. For each one: does the first 40-60 words under the H1 directly answer the query? Does the page use a clean H1, H2, H3 hierarchy with no skipped levels? Does it include at least one list or table? Does it have a genuine FAQ block? If the answer to most of those questions is no, you have a content architecture problem, not a content quality problem.

There's also the off-page question, which most teams underweight. AI engines, especially ChatGPT and Claude, are heavily biased toward earned media over brand-owned pages. Third-party coverage, industry roundups, comparison articles, analyst mentions, and community discussions carry more weight in AI retrieval than your own blog does. Ask your team what their earned media strategy looks like specifically in the context of AI citation. It's usually a blank stare.

One structural barrier worth surfacing directly: CMOs in PwC's May 2025 Pulse Survey named unclear ownership and limited access to data and tools as the top barrier to delivering their strategy. GEO falls into exactly this gap. It sits between SEO, content, PR, and brand. If nobody owns it, it doesn't get done systematically.

Question 3: How Do Our Competitors Appear in AI Answers, and What Are We Doing About It?

This is the question teams are least likely to have a prepared answer for, and it's the one that should make you most uncomfortable if the answer is "we haven't checked."

GEO is a competitive zero-sum game in the same way that share of voice has always been. When an AI engine generates a list of recommended vendors in your category, there are usually three to five names in it. If your brand isn't one of them, a competitor is. You're not just invisible. You're actively losing consideration to someone else.

The competitive intelligence question for GEO has two parts. First: which competitors are appearing consistently in AI answers in your category, and on which platforms? Second: what content and earned media activity is driving their visibility? The second question is harder to answer but more actionable. If a competitor is appearing on Perplexity because they're consistently cited on Reddit and niche industry forums, that's a replicable advantage. If they're appearing on Claude because they've built strong Brave Search indexability and earned links from high-authority third-party publications, that's also replicable. Neither is magic.

The AI assistant market is also fragmenting fast. ChatGPT's share of global AI assistant users fell below 50% for the first time in May 2026,. Gemini is growing at a rate that most marketing teams haven't absorbed yet. Claude's US mobile user base grew from under 2% to roughly 17% of daily active users in the first half of 2026, alone. A visibility strategy that only covers one AI engine is leaving most of the market uncovered.

What Good Answers Look Like: A Quick Reference

What to Do If Your Team Can't Answer Any of These

Start with measurement. You can't improve what you can't see. The first step is building a prompt tracking practice, which means defining the queries that matter for your category, running them consistently across the major AI engines, and recording the results over time.

The specific actions worth prioritising are listed below, roughly in order of impact:

• Define your prompt set across six intent types: category, use-case, comparison, recommendation, problem-solution, and feature-specific queries. Aim for 30-50 prompts per topic-market combination for statistically reliable data.
• Audit your top 10 pages for AI retrieval readiness: answer-first structure, heading hierarchy, lists, tables, and FAQ blocks.
• Check that your site allows the major AI crawlers in your robots.txt: OAI-SearchBot, PerplexityBot, ClaudeBot, and Google-Extended.
• Build an earned media strategy specifically targeted at AI citation: industry roundups, comparison articles, analyst coverage, and community platform presence (Reddit, LinkedIn, niche forums).
• Run a competitive visibility audit across ChatGPT, Perplexity, Gemini, and Claude for your 10 most important category queries.
• Assign clear ownership. GEO doesn't happen when it's everyone's problem and nobody's priority.

The investment case for doing this systematically is real. Nearly all enterprise executives who've invested in AEO and GEO report measurable positive impact on the marketing funnel. That number will mean less as the practice matures and becomes table stakes. The window to build a visibility advantage over competitors who haven't moved yet is shorter than it looks. You can explore how BrandPrompts structures prompt research if you need a faster way to get your team tracking the right queries from day one.

Frequently Asked Questions

What questions should you ask a CMO about GEO?

Ask whether they can report on brand visibility across the major AI engines (ChatGPT, Perplexity, Gemini, Claude) by query type. Ask whether they have structured prompt tracking in place or are relying on ad hoc manual checks. Ask how they're measuring competitive AI share of voice. If they can't answer any of these with data, GEO isn't yet a managed discipline in their organisation.

What are the five critical questions in marketing planning for 2026,?

The five questions worth asking are: Where are our buyers actually researching before they contact us? Are we visible in those moments? What does our competitive position look like in AI-generated recommendations? Does our content architecture support AI retrieval, or just traditional search? And who owns GEO as a measurable function, with clear KPIs? The last question is usually the hardest to answer honestly.

How is GEO different from SEO for a CMO's reporting purposes?

SEO gives you ranking positions and organic traffic. GEO gives you mention rate: whether your brand appears at all when AI generates an answer, and what it says about you when it does. There's no equivalent of a ranking position in GEO. You either appear in the AI's response or you don't. That binary nature means traditional SEO reporting doesn't capture GEO visibility, and you need a separate measurement practice to see it.

How many AI platforms should a marketing team track?

At minimum, four: ChatGPT, Perplexity, Google AI Overviews, and Claude. Gemini is worth adding, especially for brands with strong Google ecosystem exposure. Visibility varies greatly across platforms because each uses different retrieval mechanisms and training data. A brand that appears consistently on ChatGPT can be almost invisible on Perplexity, and vice versa. Tracking only one platform gives you a partial picture at best.

How quickly can a brand improve its AI search visibility?

Content changes can produce movement in Perplexity in days to weeks, because it retrieves live web content with every query. Claude tends to reflect new content over weeks. Google AI Overviews typically follow shifts in your core organic ranking signals, so changes there take longer. Earned media coverage has a longer lead time to generate but a larger impact on visibility across all platforms. Most brands see measurable improvements within 30-90 days of systematic work, but building a durable citation advantage takes six months or more.