Remember when WebMD launched, and every doctor was suddenly faced with patients who would self-diagnose before walking in the door? The medical community had a choice: get defensive about “internet doctors” or learn to work with informed patients.
Most decided to adapt. They acknowledged the patient’s research, but added context, corrected misconceptions and provided expertise that WebMD couldn’t. Those doctors who didn’t spent energy dismissing patient research instead of building on it.
B2B sales is facing a similar inflection point when it comes to AI. Unfortunately, many organizations are choosing the wrong approach.
Your Prospects Are Self-Diagnosing
By the time a prospect reaches out to your sales team, they’ve already had extensive conversations with AI. Not just a quick Google search, but a full consultative dialogue that is starting to mirror what a sales discovery call used to accomplish.
That entire top-of-funnel discovery phase that used to send prospects to your website, your blog posts and your gated content is all being replaced by AI-generated summaries.
The Uncomfortable Truth About Pre-Contact Favorites
Here’s where marketing and sales leaders need to pay attention. Buyers aren’t just researching earlier, they’re making decisions based on the guidance they’re receiving from AI.
Research from 6sense reveals that 80% of deals are won by the pre-contact favorite – the vendor the buyer already preferred before that first meeting. And Gartner’s 2025 Sales Survey found that 61% of B2B buyers now actively prefer a rep-free buying experience.
Buyers are reaching out six to seven weeks sooner than they had in the past, which sounds like good news until you realize why. They’re not reaching out because they need help deciding. They’re reaching out because AI has already helped them come to a buying decision. Your job is no longer to educate them from scratch; it’s to validate the conclusion they’ve already reached.
If You’re Not Cited, You Don’t Exist
Traditional SEO was about ranking No. 1 on Google’s results page. The new game is fundamentally different: being cited in the AI’s synthesized answer.
When someone asks ChatGPT or gets a Google AI Overview about solutions in your category, they receive one consolidated response. If you’re not mentioned in that response, you literally don’t exist to that buyer.
And here’s the brutal reality: 80% of sources featured in AI Overviews don’t even rank organically for the query. Even if you hold a top-three organic ranking, you only have an 8% chance of being cited in the AI response.
This has created an entire new industry. Generative Engine Optimization (GEO), the process of structuring your website content to be favored, cited and summarized by AI-powered search engines, is projected to hit $7.3 billion by 2031.
The Sales Conversation Problem
Most sales teams aren’t ready for AI-informed buyers. And the data shows it’s costing them deals.
Gartner found that 69% of buyers report inconsistencies between what they found on a company’s website and what sales reps tell them. That kills deals.
Think about what this means for your SDR team. If they’re still running generic discovery calls, asking questions the prospect already answered through AI research, they’re not adding value, they’re adding friction.
What Good Looks Like
Going back to the WebMD example, the best doctors didn’t fight it, they leveraged it.
The same principle applies here. Instead of treating AI-informed buyers as a threat, treat them as qualified, educated prospects who are ready for expert guidance. One of my favorite quotes from author Jeffrey Gitomer is, “People hate to be sold to, but they love to buy.” Customers hate high-pressure tactics, but like being empowered to make their own purchasing decisions. So stop focusing on selling and just make it easy for them to buy.
For Your Content Team
Stop trying to own top-of-funnel discovery. AI owns that now. Instead, create content AI can cite:
- Direct answers to common questions with specific data points
- Original research and proprietary frameworks
- Expert quotes and unique perspectives
- Structured data using an FAQ structure
For Your Sales Team
Train SDRs to start their conversations differently:
- “What research have you done so far?”
- “A lot of our prospects use AI to explore this space, what have you learned?”
- “Based on what you’ve found, what specific questions can I help with?”
Position sales as experts who can add context to AI research, not as information gatekeepers.
The Monday Morning Action Plan
This Week: Audit your AI presence. Search your top buyer questions in ChatGPT, Perplexity, and Google AI Overviews. Are you mentioned? Are your competitors mentioned? Is the information accurate?
This Month: Update SDR training. Give your team permission to have expert-level conversations. Develop new discovery questions that meet buyers where they are; already informed and looking for specific guidance.
This Quarter: Implement basic GEO. Restructure your key webpages for AI citation. Create original research. Track your visibility in AI responses versus that of your competitors.
The Real Opportunity
WebMD didn’t kill the need for doctors. And AI search won’t kill sales. But it will kill the version of sales that relies on being the first to educate prospects about their problems and potential solutions. Companies that come out on top will be those that:
- Show up as authoritative sources in AI-generated answers.
- Train sales teams to add value to informed, AI-assisted buyers.
- Create genuinely differentiated content that AI can cite but not replicate.
- Measure success by the company’s influence on AI-informed decisions, not just website traffic.
A whopping 95% of B2B buyers will use generative AI to support their purchase process this year. Your prospects have already consulted Dr. ChatGPT. They’ve read the diagnosis. They’ve researched treatment options.
The question isn’t whether they’ll do their research, they already are. The question is whether you’ll be the expert they trust when they show up with their findings, or whether you’ll be the defensive professional dismissing research they’ve already invested time in.
