Google just rolled out a new feature inside Gemini called Conversations. Instead of searching, clicking a link, and filling out a form to talk to a vendor, a buyer can now search, get recommendations, and ask follow up questions natively inside the search experience itself. No site visit required. No form required.

That single product update is the clearest signal yet of something B2B marketers have felt coming for a while. The lead form, the mechanism nearly every B2B funnel was built around, is losing its role as the first touch in the buyer journey.

Why the Lead Form Is Losing Its Place

This didn't start with Google's announcement. It started with answer engine optimization and large language models giving buyers what they need without requiring a site visit at all. If a buyer can get a complete answer inside ChatGPT or Gemini, there's no reason to click through to a vendor's website in the first place.

Gated content made this worse. Years of putting research, guides, and data behind a form taught AI systems to skip that content entirely. AI can't cite what it can't read, so heavily gated sites are quietly disappearing from AI generated answers while buyers move on to competitors who made their content accessible.

Google's Conversations feature adds a second layer on top of this. It combines a buyer's search history with Gemini's agentic search to create a running dialogue, tailored to that specific buyer, that happens entirely inside the browser. There's no reason to leave that conversation to go find a form, wait for a callback, and repeat information the AI already has.

What This Means for the MQL

The marketing qualified lead has been the default measure of marketing's contribution to pipeline for over a decade. It worked when the form was the primary signal that a real buyer wanted something. It stops working once that signal stops existing.

This isn't a small metrics tweak. If fewer buyers ever reach a form, MQL volume declines regardless of whether marketing's actual influence on the buyer's decision is going up or down. Teams that keep reporting MQL as the leading indicator of marketing performance will be measuring an increasingly rare event, not a failing one.

The better question is what a marketing qualified account, or a buying committee reaching a specific stage of trust, looks like when the underlying evidence is a conversation history rather than a form fill. That's a framework revenue teams need to build now, not after the metric has already gone quiet.

Why This Changes the BDR Role, Not Just the Funnel

When AI can answer a buyer's initial questions with more consistency and depth than a newly hired BDR, the qualification layer that used to sit between marketing and sales starts to lose its reason to exist. Buyers no longer need a junior rep to explain what a company does. They need someone who can bring judgment, industry context, and credibility to the part of the deal that actually requires a human.

That shifts investment toward senior, domain specific salespeople, the kind who can say "I've lived through this exact problem" in a way a script or an AI model can't replicate. It also raises the bar for how marketing and sales define handoff. The handoff isn't a lead anymore. It's a buyer who has already had a rich, informed conversation and is now ready for a different kind of conversation entirely.

Why Media Spend Doesn't Buy You a Seat in the Conversation

Traditional demand gen assumes a call to action: request a demo, download a guide, sign up for a webinar. None of that applies when the conversion event itself, the form, no longer exists as the destination.

Large language models don't rank recommendations based on ad spend. They work on citational trust, meaning consistent, accessible, specific content that AI systems can find, understand, and trust enough to cite. A company can spend heavily on media and still be invisible in the exact conversation where a buyer is deciding who to shortlist.

This is precisely the gap TPG's AXO diagnostic measures: how a brand actually shows up across ChatGPT, Gemini, Perplexity, and Claude when a real buyer asks a real question. The average B2B company scores 28 out of 100. That's not a media spend problem. It's a visibility problem, and it's fixable.

What Marketers Should Actually Do About This

None of this means sales or marketing disappears. It means both functions need to get intentional about how they earn trust with a buyer who may never visit a website or fill out a form again.

That starts with making content accessible instead of gated, so AI systems can find and cite it. It continues with building the kind of specific, credible, persona relevant content that earns citation rather than clicks. And it requires marketing and sales to agree on new signals of buyer intent that don't depend on a form ever being filled out.

The organizations that treat this as a relationship to build, rather than a funnel to fill, are the ones already positioned to benefit. The rest are optimizing a mechanism that's already losing its influence.

Frequently Asked Questions

What is Google's new Conversations feature and how does it affect B2B marketing? Conversations is a Gemini powered search experience that lets buyers interact with AI natively while searching, combining search history and agentic AI to deliver tailored recommendations and answer follow up questions without requiring a site visit or a form.

Why are lead forms disappearing from the B2B buyer journey? Buyers increasingly get their answers directly from AI search and large language models before ever reaching a vendor's website. Combined with AI systems skipping heavily gated content, the form is losing its role as the default first interaction with a prospect.

Is the MQL becoming obsolete? The marketing qualified lead depends on form fills as a signal of buyer intent. As fewer buyers reach a form, MQL volume will decline even when marketing's actual influence on the deal is unchanged, which means it's becoming an unreliable measure of marketing's contribution to pipeline.

How does AI change the role of the BDR? AI can now answer the basic qualifying questions a BDR traditionally handled, often with more consistency. That shifts investment toward senior, domain expert salespeople who bring judgment and credibility rather than entry level reps focused on qualification.

If buyers use AI instead of visiting my website, how do I measure marketing's impact on revenue? Marketing needs new signals beyond form fills, such as how consistently a brand is cited and recommended inside AI answer engines, and how well content is built to earn that citation for specific buyer personas.

What can marketers do to stay visible when buyers don't fill out forms anymore? Make content accessible instead of gated, build specific and credible content that AI systems can cite, and measure visibility across the AI tools buyers actually use. A diagnostic like TPG's AXO assessment shows exactly where a brand stands today and what to fix first.