Once Wunderkind adopted Glean as its enterprise AI operating system prompting an immediate question for Daniela: where does Crayon fit in?
“I wanted to make sure my team was set up for success with Glean and ahead of the curve on AI adoption,” Daniela explains. “I’m competitive by nature, and I knew that if we integrated Crayon with Glean, we could make our compete program even stronger.”
Daniela and her team considered the following as part of their analysis:
- Accuracy and governance of competitive data
Wunderkind needed to ensure that any competitive insights surfaced through AI were accurate, reliable, and governed by a trusted source of truth. The team valued Glean’s ability to retrieve information from across their internal systems and tools, but recognized that it relies heavily on whatever content already exists in those systems — which can often be incomplete, outdated, and potentially inaccurate when it comes to competitive intelligence.
With Crayon as the foundation for competitive data, Wunderkind saw that the insights are continuously updated and validated. This provided the necessary governance layer so that teams could access high-confidence competitive insights rather than fragmented or unverified information.
- Ability to curate and maintain battlecards as a system of record
Another key requirement in Wunderkind’s evaluation was having a centralized location for battlecards that sales and go-to-market teams could trust. While Glean can surface answers through search, Wunderkind found those responses as typically in-the-moment snapshots that are possibly grounded in incomplete, outdated, or inaccurate data.
The Wunderkind team wanted more of a dedicated system for curating and maintaining battlecards, with the ability to automatically update content when new intelligence emerges. Crayon delivered there — as well as delivering new, deal-relevant insights directly to Wunderkind sellers.
- Depth of win/loss intelligence and external monitoring
Wunderkind also needed deeper visibility into why deals are won or lost and how competitors are evolving in the market. This required the ability to analyze win/loss insights alongside external competitive signals such as competitor website changes.
During their evaluation, the team found that while Glean surfaced large volumes of raw data, configuring it to reliably capture external competitive signals required significant manual setup, testing, and prompt iteration. Identifying the correct sources to scrape, validating the data, and refining prompts to return usable insights would have required substantial ongoing time from the team that they did not have.
Crayon delivered this intelligence immediately. With automatic tracking of competitor websites and 100+ types of competitive intelligence signals, the Wunderkind team was able to see exactly what competitors were changing in the market and connect those changes directly to win/loss outcomes, without the overhead of building and maintaining custom workflows.
- Compatibility with existing tech stack — including Glean
Wunderkind wanted a solution that would integrate seamlessly with the tools their teams already use every day. Crayon connected to the Wunderkind’s tech stack including Salesforce, Gong, Slack, and Confluence, but more importantly, Crayon also found the right competitive insights across those tools.
Highly important to Wunderkind were Crayon’s APIs and MCP server capabilities. This allowed for Crayon to serve as the CI engine while Glean acted as the AI-powered discovery layer for employees across the company to search for and access those insights when needed.
- Long-term scalability of a purpose-built CI platform
Finally, Wunderkind needed a solution that could support the long-term growth of their competitive intelligence program, rather than simply providing short-term access to information.
Crayon gave Wunderkind the purpose-built compete infrastructure the company needed to evolve from ad hoc competitive research to scalable competitive enablement to a program that is now always on – continuously capturing and validating new competitive intelligence and delivering insights directly to Wunderkind’s go-to-market teams.
The clear answer was that Crayon along with Glean — and Gong, Slack, Salesforce would drive stronger sales performance than if Wunderkind implemented Glean standalone.
Working alongside her business operations team, Daniela connected Crayon to Glean via API. The setup was seamless, with a clear objective: build a competitive intelligence copilot embedded directly into the company’s AI ecosystem.
Today, that AI enablement agent pulls directly from Crayon, alongside other core integrations like Gong and Salesforce. Whenever sellers at Wunderkind ask competitive questions inside Glean. Responses are powered by:
- Battlecards
- Traditional long form battlecards
- AI-generated battlecards (powered by Slack, Gong, win/loss intel, and 100+ sources – both external and internal)
- Win stories compiled in Crayon
- Gong insights
- Salesforce deal data
- Slack conversations
The result is instant, contextual competitive intelligence.
“It’s incredibly easy to get everyone the intel they need,” says Daniela. “It also helps me review the KPIs we’re tracking for our compete program. If I want to understand our win rate or see how we’re performing against a specific competitor quarter over quarter, I just drop the question into the chat.”
The Wunderkind team analyzed the ways Glean could be built out to support competitive use cases standalone (by integrating Gong, Salesforce, and Slack). The next step was to compare that option against a Crayon-powered version of compete for Wunderkind