The CMO And CIO AI Agent And AEO Friction Point

A dialog is occurring in each enterprise proper now, and most CMOs and CIOs don’t understand they’re speaking previous one another. The rise of AI brokers is prompting new collaboration between entrepreneurs, AEO methods, and management.

When the CIO hears “AI brokers,” they give thought to the productiveness rollout. Copilot seats, agentic workflows, inner automation. When the CMO hears it, they give thought to ChatGPT, Perplexity, and whether or not the model is cited when a buyer asks an AI a query. Identical phrase. Two fully totally different issues. The hole between them is now a income drawback.

The CMO wants the positioning prepared for AI-driven discovery, recommendation, and purchase. The CIO, if the positioning will not be configured for that world, is unintentionally blocking it, treating new agent site visitors the way in which IT groups as soon as handled scrapers and bot noise. That’s the massive, potential friction level I see each in conversations and in latest analysis, which I’ll share on this article.

Manufacturers have spent 20 years engineering web sites for human guests and now should design for 2 audiences in parallel – humans and the AI agents acting for them. The implication for the CIO is uncomfortable however price saying. In case your robots.txt or your firewall is protecting fashionable AI brokers out, you aren’t screening bots. You’re turning away clients and making it tougher for the CMO and advertising and marketing groups to hit their brand-building and income targets. And that impacts each division and performance inside your group.

Three AI Agent Layers Each Model Wants To Acknowledge

Earlier than the CMO and CIO can align, each want the identical psychological mannequin. Your web site has three new forms of guests. None are human, however everyone seems to be engaged on behalf of 1. The generic phrase “agentic AI” papers over a distinction that issues.

AI Crawlers And Brokers

GPTBot, ClaudeBot, PerplexityBot, Google-Prolonged, and others. These are future clients arriving by means of AI. They pull content material in actual time for stay conversations, not for later indexing. They want quick, structured, machine-readable pages.

AI Browsers

Perplexity Comet, OpenAI Atlas, Chrome with built-in AI. These see pages on the consumer’s behalf, evaluate merchandise, fill kinds, provoke purchases. In case your pages usually are not machine-readable, the agent might transfer on.

AI Assistants

ChatGPT, Claude, Gemini. The human nonetheless asks the query and reads the reply, however the line between “assistant” and “actor” is blurring quick.

Explaining the impression must be easy, however typically will get misplaced in summary conversations: AI is talking about your brand right now, deciding if it might probably discover and cite your content material, shaping how shoppers understand and purchase from you, and aiding individuals by means of analysis, discovery, and buy. None of that’s inner productiveness. All of it’s revenue-adjacent.

All three layers matter, however the remainder of this text focuses on the primary, AI crawlers and brokers. They’re the layer hitting your web site and content material proper now, the one most CMOs and CIOs are mislabelling, and the layer the place in the present day’s coverage selections open or shut the door to AI-driven income. Browsers and assistants construct on what this layer sees.

The AI Agent Surge: What The Shock Alerts For Unprepared Manufacturers

In response to inner information, between November 2025 and March 2026, AI agent exercise is up 150% month-over-month, and 88% of visits from search are actually AI brokers. AI brokers are 15% of all web site site visitors – agent exercise is on track to overhaul human-driven search earlier than the tip of 2026.

The quantity that ought to shock most CMOs and entrepreneurs on the management stage: 81% of organizations are submitting AI brokers beneath the identical bucket because the bots of a decade in the past, with access rules written for a different era of the web.

The AI Crawler Combine Reshaping Search

From the interior information, the crawler combine tells the remainder of the story.

• ChatGPT’s consumer agent now accounts for greater than 96% of AI consumer bot site visitors, hitting websites in actual time on behalf of shoppers.
• GPTBot represents roughly 55% of AI coaching crawl quantity, and OAI-SearchBot about 47% of AI search crawl exercise. OpenAI is dominant throughout all three layers.
• Applebot accounts for about 30% of AI search crawl exercise, and most search and advertising and marketing groups usually are not monitoring it.
• ByteSpider, the crawler behind ByteDance’s AI merchandise, grew 138% over the monitoring window.
• ClaudeBot surged 800% between November and December 2025. AI coaching doesn’t observe a linear schedule; log evaluation after the very fact is not sufficient.
• Google NotebookLM grew 144% in the identical window, as researchers and data employees more and more use it to drag stay content material on their behalf. And now Gemini consumer brokers are surging.

Of the 20% of manufacturers with any agent coverage set, 77% solely block training crawlers. That could be a writer transfer: shield content material from being discovered by an LLM. For a model, the commerce is totally different. Block coaching and the fashions by no means study your story, and also you hand the narrative to a competitor.

Simply 21% have constructed any technique for the search-side crawlers like OAI-SearchBot, and solely 38% have any strategy to the user-facing agents looking a website stay on a buyer’s behalf. Most corporations are fortifying the floor that issues least for income and leaving the 2 that matter most without a strategy at all.

The $40 Billion AI Agent And Search Alternative At Stake

The price of getting this unsuitable will not be theoretical. Even when 80% of corporations handle their AI agent insurance policies accurately, the remaining 20% nonetheless leaves an estimated $40 billion of search alternative on the desk throughout the broader financial system.

AI Agent Success Past The web optimization Field: The CMO And CIO Friction Level

Why AI Brokers Now Sit Between Advertising and marketing, IT, And The Digital Staff

Managing AI agent entry has moved effectively past “simply the web optimization perform.” It now belongs collectively to advertising and marketing, IT, and the digital group, and the manufacturers transferring quickest are those treating it that approach. The significance of AI brokers and AEO must be highlighted clearly to the CMO and CIO.

CMOs want readability on how brokers are shaping discovery and the brand impression customers walk away with. CIOs must look once more at bot coverage and entry controls by means of a income lens, not only a safety one. And web optimization and digital leaders want to ensure the pages that drive consideration and conversion are findable, machine-readable, and present sufficient for a machine to behave on. None of these three roles can ship the end result alone.

AI Engines As Model Editorialists

There’s a second layer CMOs shouldn’t miss. The identical AI engines sending brokers to your website are additionally forming opinions about your brand and serving them again to clients as solutions. AI engines now act as editorialists, each summarizing your model slightly in a different way, and that abstract is usually the primary impression a purchaser ever types of you. Monitoring how each engine talks about your brand has stopped being a analysis curiosity. It’s now a income safeguard, and it sits inside the identical agent-readiness dialog.

The AI Agent And AEO Readiness Hole: Why Most Groups Are Caught

The surge information tells you what is occurring. Our newest analysis and survey information tells you why most corporations are caught.

Over the previous three months, we ran a survey of simply over 1,000 enterprise digital and search advertising and marketing leaders, asking truthfully how prepared they really feel for the AI agent and AEO shift. The AI agent and AEO and CMO and CIO hole is constant: consciousness is broad, possession is unclear, and nearly no person can show they’re prepared.

4 AI Agent And AEO Knowledge Factors Each CMO And CIO Ought to Sit With

• Solely 19% might confidently reply “sure, we’re prepared, and I can show it” if the CMO walked over and requested them in the present day. Half are nonetheless engaged on it or are unable to elucidate the hole upward.
• 75% don’t have any documented plan or named proprietor for the query.
• 72% instructed us advertising and marketing has ended up proudly owning AI agent and AEO accountability with out ever being formally handed it. Solely 17% report IT or engineering owns it.
• 56% of the final conversations entrepreneurs had with IT or safety stalled, have been blocked, acquired filed away as “simply web optimization,” or have been actively prevented.

That final level highlights the CMO-and-marketing vs CIO-and-IT friction level I discussed earlier. Advertising and marketing has been handed an executive communication and infrastructure-adjacent problem. IT, centered on inner productiveness brokers, treats site-visiting brokers as background bot site visitors. Safety treats them as a threat to filter. No person is collectively proudly owning whether or not AI brokers can discover, learn, and cite the web site paying for everybody’s salaries.

What Groups Truly Need Is Proof Of AI Agent And AEO Success, Not Technique

After we requested what one factor groups would change tomorrow, 40% gave the identical reply – proof AI is driving enterprise outcomes. No more technique. No more screenshots. No more buy-in. Proof.

Summary AI conversations on AI brokers and AEO don’t transfer CMO and CIO boardroom motion. Aggressive success comparability does.

What CMOs, CIOs, And Advertising and marketing Groups Ought to Do Now With AI Brokers

From my expertise as a CTO myself, working with giant manufacturers and enterprise entrepreneurs in any respect ranges, and pulling the surge and survey information collectively, here’s what I might placed on the following CMO-CIO sync.

For the CMO. Cease describing AI brokers within the summary. Pull the aggressive quotation image. Present the board which competitors are being cited by ChatGPT, Perplexity, Google AI Mode, and others in your class, and which prompts you might be lacking from. That’s the dialog that funds the work.

For the CIO. Acknowledge there are two distinct AI agent conversations inside your group: one is inner productiveness, the opposite is exterior discovery, commerce, and model visibility. They don’t share house owners, and treating site-visiting brokers as normal bot site visitors is now a income drawback, not a stack-hygiene challenge.

For advertising and marketing and search groups. Get the measurement layer in place earlier than that CMO query exhibits up. “Nonetheless engaged on it” is not going to survive a boardroom. Set specific coverage for every of the three agent layers (coaching, search, user-facing) and write it down. Block solely coaching crawlers, and also you defend the least priceless floor whereas leaving the 2 most precious ones uncovered.

3 AI Agent Questions For Your Subsequent CMO-CIO Sync

1. Who owns whether or not AI brokers can entry, learn, and cite our website, and is that possession documented?
2. What’s our specific coverage for coaching, search, and user-facing brokers?
3. How are we measuring AI quotation, model presence in AI solutions, and the enterprise outcomes tied to AI discovery?

Reply these three, and the friction level begins to dissolve. The AI brokers and AEO and CMO and CIO readiness hole will not be actually an consciousness hole. Consciousness is okay. It’s a hole in cross-functional possession and proof. Shut these two, and alignment, prioritization, and formal plans are inclined to observe.

The manufacturers that get previous the CMO-CIO friction level first are those that might be cited when it counts.

Extra Sources:

Featured Picture: Anton Vierietin/Shutterstock

All information above is taken from Brightedge inner information, except in any other case indicated: AI Agent Insights, November 2025 – March 2026, AI Agent and AEO Readiness Gap survey, March – May 2026.