Your AI Stack Won't Save You.
5 Ways to Reorganize Around Customer Value.

Kill the MQL. Replace It With Value-Confirmed Pipeline.

Forrester's CMO Stephanie Liu didn't mince words. In her post-Summit analysis published May 2026, she called MQLs a "weak signal in an AI-driven buying environment." Her reasoning is surgical: when buyers self-research using AI agents, the act of downloading a whitepaper or clicking a CTA tells you nothing about intent. It tells you they clicked.

The alternative is uncomfortable for teams built around volume metrics: stop measuring engagement. Start measuring value confirmation. A value-confirmed pipeline is built on prospects who can articulate three things:

• Their specific desired outcome
• Their current capability gap relative to that outcome
• How your solution closes the delta

A self-serve diagnostic that lets buyers surface their own gap — rather than having a rep hypothesize it on a discovery call — converts at roughly 3x the rate of a traditional demo request. The psychology is simple: buyers trust their own diagnosis more than yours.

Redesign for 3 Audiences: Humans, Buyer Agents, and Answer Engines

The most advanced GTM teams, per Forrester, are now planning every piece of content for three simultaneous audiences: the human buyer scrolling your site, the AI buyer agent crawling it on their behalf, and the answer engines (ChatGPT, Perplexity, Gemini) that synthesize your content into buyer recommendations.

This changes everything about content design. Gated content — the kind that demands an email address before delivering value — gets ignored by all three. Buyers bounce, agents skip it, and answer engines won't cite it. Ungated, signal-rich content wins across every channel.

The practical shift: publish diagnostic frameworks, self-assessments, and ROI calculators openly. Let AI agents index your value proposition as structured data. When a buyer asks "which solution reduces my time-to-close by 30%?" — your content should be the answer engine's top result, not a PDF locked behind a form wall.

Audit Engagement Metrics. Adopt Return-on-Objectives (ROO).

Forrester's recommendation cuts clean: shift from engagement-based metrics — MQLs, marketing-sourced pipeline, email open rates — to a return-on-objectives (ROO) model. The question isn't "how many forms were submitted?" It's "did the buyer achieve their stated goal as a result of engaging with us?"

The INFUSE research from B2BMX 2026 adds another layer: AI is simultaneously accelerating insight and eroding buyer trust. Buyers research faster but trust vendors less. Your metrics need to track whether trust was built — not just whether a page was visited.

Valgist enables this shift by connecting buyer diagnostic responses directly to pipeline velocity data. When a prospect completes a self-assessment, you know exactly which gaps they surfaced, how urgent they ranked them, and how your solution mapped to each. That's not a lead score — it's a value-qualified intent signal that lets you measure ROI per engagement, not per MQL.

Build Preference Across the Full Buying Group — Not Just the Champion

Per Forrester: "Purchase and retention decisions hinge on perception. Building preference early — and across the full buying group — is critical." The average B2B buying group now includes 6 to 10 stakeholders, each with different priorities. Procurement cares about ROI. The end user cares about workflow disruption. The executive cares about strategic alignment.

Most GTM teams still focus on converting a single champion and hoping they evangelize internally. That's a losing bet in 2026. The tactical shift: equip every stakeholder in the buying group with a personalized value snapshot tailored to their lens.

When each stakeholder receives a personalized diagnostic that speaks their language, the champion doesn't need to carry the entire deal on their back. The product sells itself to every decision-maker simultaneously.

Deploy "Remove Steps" Thinking — Not "Automate What Exists"

This might be the most important line from the entire Forrester B2B Summit. A leader in the room said it plainly: "Do not automate what already exists. Remove steps." The instinct in 2026 is to bolt AI onto every existing process — add a chatbot to the landing page, automate the SDR sequence, AI-summarize the demo call. But if the underlying process is broken, you're just accelerating failure.

The playbook for 2026 is to delete processes that no longer serve the buyer. Run a ruthless audit:

• If a step exists "because we've always done it that way," cut it before you AI-wash it.
• If a form field asks for information you don't act on, remove it.
• If a meeting is a status update that could be replaced by a shared interactive report, cancel it.
• If your demo is scripted the same way for every prospect, kill the script and build scenario-based alternatives.
• If a nurture sequence sends the same email to every lead regardless of behavior, stop the sequence and rebuild around diagnostic signals.

Removing steps creates an intelligence gap. When you strip away the friction, you need a new mechanism to capture what buyers care about and how they signal intent. That's where a value-confirmation layer comes in. Instead of tracking form fills and demo requests, you track diagnostic completions, gap self-identifications, and solution preference signals.

Valgist fills that gap. As the intelligence layer that enables value-based GTM, Valgist replaces automated-then-ignored workflows with a structured diagnostic experience. Buyers self-identify their gaps. Your system maps solutions automatically. Every completed assessment produces a value-confirmed pipeline signal that tells your team who is ready to buy and why.