The Next Era of Marketing Is B2A, but More than 80% of Companies Aren’t Ready
AI agents are researching on your buyers’ behalf—and your website is the last place they look. Learn what Business-to-AI (B2A) means for your digital presence and why most companies aren’t ready for this shift.
Listen and Learn “The Next Era of Marketing Is Business-to-AI (B2A)” Deep Dive
Decades ago, search was dictated by the Yellow Pages, a direct-to-customer directory where being first alphabetically, or having a large visual placement, was your only “optimization.” Then Google arrived, upending the world with an algorithmic ranking of links and forever altering how we discover information. Today, we are seeing the third great shift: Business-to-AI (B2A).
In 2025, AI-sourced traffic surged by 527%, making it clear that AI assistants are becoming the default partner for how we discover, research and buy. What boards and leadership teams need to realize is that marketing is no longer just about reaching a person; rather, it’s about marketing to the LLMs and AI agents acting on that person’s behalf. Currently, more than 80% of companies are unprepared for this shift.
The “Zero-Click” Battle
At the core of this shift is the Zero-Click reality, meaning the AI provides the answer directly in the chat interface, thereby completely bypassing the need for the user to click and visit your website.

For example, let’s say you were looking for commercial real estate in Chicago. In the Google era, a prospect searched by entering “top-tier office space in Chicago” and clicking through to your website to learn more. In the B2A era, that same prospect approaches the query much differently—i.e., through conversational search that prompts their AI agent to “Find me 10,000 sq. ft in Chicago with LEED certification and a landlord who has no history of litigation.” No address, no building management or leasing company; just the answer to the question. If the AI can’t “extract” that specific information from any part of your company’s digital presence—e.g., website, social channels, or other digital content—your firm doesn’t just rank low; it doesn’t exist.
Optimizing for “Extractability”
Because these AI agents are the new gatekeepers, your content has to be more than just persuasive; it has to be “extractable.” You’re now optimizing for Generative Engine Optimization (GEO), where the goal is to feed the LLM enough hard facts and verified user proof that it feels safe recommending you.
In this new landscape, it’s no longer just your audience that you need to convince; you also need to first convince the LLM or AI agent that your brand is the one to trust, and if it isn’t, you’re invisible to the market.
From “Discoverable Pages” to an “Extractable Ecosystem”
This builds on a shift I’ve talked about before: how AI-powered search killed the home page. That move was about rethinking your content strategy so that every single page on your website was as actionable as a conversation with a sales rep. But since then, the stakes have evolved yet again.
GEO has exposed a new reality: optimizing your website isn’t enough. It is now an urgent priority to optimize your brand’s entire digital ecosystem.
When an AI agent “researches” on behalf of a human, it doesn’t just look at your URL; rather, it scans the “digital ether”—i.e., third-party review sites, YouTube transcripts, Reddit threads and industry forums—to verify if what you say about yourself matches what the world says about you.
With B2A, your website says who you are, but the rest of the web is your validation. If the LLM finds a “signal gap” between your owned content and third-party validation, you lose the trust of the agent—and you lose the customer.
So, How Does Buyer AI and Brand AI Find Each Other?
According to the AEO firm, Passionfruit, your website accounts for just 5%-10% of what AI references. The remaining 90%-95% comes from Reddit, YouTube, review sites, third-party publications, forums and earned media.
What is even more enlightening is how each LLM behaves differently by audience. ChatGPT, Perplexity and Gemini are not pulling from the same sources or weighting them the same way. This means a company’s AI visibility strategy can’t be platform-agnostic; rather, it has to account for where their specific buyers are searching.
Add to this the reality of citation decay. Between 40% and 60% of sources cited by AI engines change month by month. For a large organization relying heavily on lead gen and prospecting, AI optimization isn’t a “set it and forget it” project; it’s an ongoing practice that requires constant monitoring.
The New Hierarchy of AI Influence:
1. Third-Party Sources First: Reddit, YouTube and industry forums. Brands are 6.5x more likely to be cited here than on their own sites. This is where AI looks for independent validation, yet it’s where most brands are the least active.
2. Earned Media and Distribution: Expert citations, bylined articles and analyst mentions. Recent studies show a 239% median lift in AI citation when brand content is distributed through trusted third-party publications versus staying on an owned domain.
3. Your Owned Site: This serves as the “source of truth”—structured, content-rich and built for extraction.
Click the image to view the web page.
There is one exception worth knowing: Gemini—unlike every other platform—pulls 52% of its citations from brand-owned content. It is the one AI that actually trusts what you say about yourself. Which means your website matters there more than anywhere else, and still isn’t enough everywhere else. Platform divergence is the strategy: there is no single place to show up and only 11% of domains are cited by both ChatGPT and Perplexity. If you are optimizing for one and assuming you have covered your bases, you are invisible on the others.
The Website Is the Foundation, Not the Finish Line
Your website is still a critical entry point into your company, and what we shared previously still stands—i.e., that studies show companies have just 50 milliseconds to make a strong first impression and that 38% of people will stop engaging with a website if the design and content don’t immediately capture their interest. But in the age of AI search, it’s not enough.
In addition to creating a great first impression, your website is the foundation that makes every third-party mention credible and every PR placement linkable. Without that supporting ecosystem of third-party content sources, the site will remain vulnerable to not being found by LLMs and will remain unknown by your audiences.
Think of your website as the user’s destination and the broader digital content ecosystem as the directional signals that tell AI that your destination is trustworthy. You need all of them to work together, while most companies only have the one.
The question every leadership team should be asking right now is not whether AI can find you; rather, it’s whether what AI finds—across the entire ecosystem—reflects the company you actually are.
Would it find your website—and nothing else?
Or would it find a company that exists in the conversations, reviews, expert commentary and editorial coverage that AI actually trusts?
Then repeat this same exercise with another AI model.
What appears — and what doesn’t — is just a sampling of your B2A readiness. The companies already building that external ecosystem aren’t waiting for a board mandate. They’re becoming the credible answer while their competitors remain the invisible one.
If you’re wondering where your website stands today regarding AEO, or if you have questions about how AI can help your company find its strategic footing, I’d love to have that conversation with you.
You can reach me at mike@scheinerinc.com. As always, thank you for reading and/or listening.
As always, thank you for reading and/or listening.
