Klue: The Competitive Intelligence Platform That Wants to Kill Your Spreadsheet

The Origin Story

Here's a scenario that every product marketer has lived through at least once — and if you're running competitive at an enterprise company, you've probably lived through it this week.

A seller is on a call. The prospect mentions a competitor by name. The seller knows there's a battlecard somewhere — they saw it six months ago, it was in a Google Drive folder, or maybe Highspot, or maybe it was that PDF someone attached to a Slack thread. By the time they find it, the moment has passed. The prospect has moved on. The objection went unhandled. The deal tilts.

Jason Smith and his co-founder Sarathy Naicker — Smith a serial entrepreneur who'd been president at Vision Critical (now Alida), Naicker a former chief technologist at Sophos — kept encountering the same structural failure across every B2B sales org they touched. It wasn't that companies lacked competitive intelligence. They had plenty of it. The problem was that intel lived in a graveyard of outdated slide decks, half-maintained spreadsheets, and Confluence pages that nobody had looked at since the last SKO. Sound familiar?

So in 2015 they started building Klue in Vancouver, and what they've built over the past decade is the company that effectively coined "competitive enablement" as a category — the idea that collecting competitive intelligence is necessary but nowhere near sufficient. You have to translate it into something that reaches the right person at the right moment in the right format, or you're just maintaining a research library that nobody visits.

The Problem They're Solving

Klue frames the central challenge with a concept they call the "Competitive Revenue Gap," and the math is worth sitting with. Across B2B pipeline, roughly 33% of deals are lost to competitors. About half of those — the 17% — are structurally unwinnable: product gaps you can't close overnight, existing relationships you weren't going to break, arriving too late in the buying process. That's table stakes loss.

But the other half — around 16% — are deals you should have won. Poor sales execution, failure to differentiate, inability to prove value, loss of buyer trust. Those are enablement failures. And unlike product changes (which take quarters), better hiring (which takes months), or pricing overhauls (which are expensive and politically fraught), better competitive enablement is the fastest lever available. That's the pitch, and for anyone who's ever watched a winnable deal slip away because a rep couldn't articulate why your integration architecture is different from Competitor X's, it lands.

The Platform: Compete + Win-Loss

Klue's platform has two main pillars, and what makes it interesting — particularly for someone like Soo on our team who's been building competitive programs from scratch — is how tightly they feed each other.

Compete is the intelligence engine. It pulls from four categories of data: company data you feed it (your segments, personas, positioning, products), buyer intelligence from win-loss and churn interviews, internal intel captured from Slack, Teams, email, Salesforce, Gong, and the mobile app, and public intel scraped from news, reviews, personnel changes, videos, and competitor websites. All of that gets processed through what Klue calls "Generated Insights" — the AI layer that distills raw information into structured, reusable competitive content.

Win-Loss is the buyer feedback loop. Klue runs both AI-powered and human-conducted interviews with actual buyers, then produces summarized reports with recordings. This isn't a nice-to-have bolt-on — it's the data that makes the competitive content trustworthy. When your battlecard says "buyers value our approach to X over Competitor Y's approach to Z," you want that grounded in actual buyer interviews, not your PMM team's best guess from reading G2 reviews.

The two products share a data layer, which means win-loss insights automatically enrich your competitive content, and competitive content gets validated by buyer feedback. It's the kind of closed-loop system that sounds obvious in a product demo but is genuinely hard to build — and it's why Klue positions itself as the only platform combining competitive intelligence and win-loss analysis in one place.

The Compete Agent: Where It Gets Interesting

If you've been following the agentic AI conversation — and if you're reading this site, you have — Klue's recent launch of "Compete Agent" is worth paying attention to. It's not a chatbot bolted onto a search index. It's an agent architecture that operates on two fronts, and the distinction matters.

The "iceberg" metaphor in Klue's architecture is actually well-chosen. What a seller sees is a concise, deal-specific answer to a competitive question. What's underneath is a six-layer processing stack: data ingestion connecting to your CRM, call recordings, win-loss data, and docs; signal detection flagging competitive mentions, pricing objections, and use cases buried in unstructured data; theming and normalization that organizes everything into reusable categories; source verification ensuring every insight traces to real intel with PMM governance; prompt logic that interprets vague questions and formats seller-ready responses; and delivery logic that decides when and where to push insights proactively.

That last point is the one that separates agentic competitive intelligence from "we added a chat window to our CI tool." Klue's Deal Tips feature detects when a competitor shows up in an active opportunity — via CRM updates or call transcript analysis — and automatically generates a short, actionable briefing for the seller. The seller didn't ask for it. They didn't have to search for it. It arrived because the system understood the deal context and acted.

Compete Agent saves me two days a week and has increased our win rates by 28% against our top competitors. — Sr. Business Process Analyst, Blackbaud

Why It Matters for PMMs

If you're running a competitive program today — and I say this as someone managing one across a 53-person PMM org where competitive is a core function — the structural challenge hasn't changed in a decade. You have too many competitors, too little time, content that goes stale the moment it's published, and sellers who'd rather wing it than dig through a content library. The question is whether tooling can actually change that calculus or whether it's just adding another system to maintain.

Klue's answer is that the agent layer changes the math. If the system is doing the research, detecting the signals, generating the first draft of the insight, and pushing it to the seller before they ask — then the PMM's role shifts from content factory to strategic curator. You're reviewing and approving AI-generated competitive insights, not starting from a blank Google Doc every time Oracle changes their pricing page. That's the right direction.

The Microsoft integration story is also worth noting for enterprise shops. Klue now connects to Dynamics, Teams (calls and chat), SharePoint, OneDrive, and — here's the punchline — Microsoft Copilot via an MCP server. That means Copilot answers and automated workflows can be grounded in Klue's curated competitive intelligence rather than whatever the base model happens to know about your competitors. For anyone building agentic workflows inside the Microsoft ecosystem, that's a meaningful differentiator.

What to Watch

The Compete Agent is still relatively new, and the real test will be whether the proactive deal intelligence — the Deal Tips, the auto-generated insights, the Slack-native Q&A — actually changes seller behavior at scale. The promise of competitive enablement has always been that better intel leads to better win rates, but the gap between "we have great battlecards" and "our sellers actually use them in deals" is where most programs die. If Klue's agent architecture can close that gap by removing the friction entirely — delivering the right insight at the right moment without the seller having to search for anything — that's a category-defining shift.

Also worth watching: how the MCP server integration with Microsoft Copilot evolves. In a world where every enterprise is going to have AI assistants embedded in their productivity suite, whoever becomes the trusted data layer behind those assistants wins. Klue is making an early bet that competitive intelligence should be one of those foundational data sources. That's a smart positioning move.

For PMMs: if you're currently managing competitive intelligence in spreadsheets, Slack channels, and Google Docs — and be honest, most of us are doing at least some of that — Klue is worth a serious look. Not because the tooling solves the strategic challenge of competitive positioning (that's still your job), but because it might finally solve the operational challenge of getting the right intel to the right people at the right time.

Learn more: klue.com