Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
A high-growth cybersecurity provider protecting over four million global endpoints against massive industry competitors.
Disorganized market data housed in basic cloud folders made it impossible to ensure sellers used the correct positioning documents. Sellers relied on...
“Information was being used, but people would hold on and hoard things. I never knew if they were using a correct update or something old. Trying to manage all of the data and keep it organized was almost impossible in Google Workspace. Worse, I never knew what our salespeople were using. There was no way to track our effectiveness or what my team was doing well.”
Managed cybersecurity platform providing EDR and threat hunting for MSPs and SMBs.
AI-powered competitive intelligence platform for win/loss analysis and battlecards.
Huntress's Competitive intelligence is part of this use case:
Related implementations across industries and use cases
Manually tracking 20+ competitors created fire drills and stale intel. An AI does the research, letting marketers add strategy and arm sales.
AI search relied on unverified internal data. Connecting an intelligence API lets sellers query chat for instant, verified AI battlecards.
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
Manually tracking 20+ competitors created fire drills and stale intel. An AI does the research, letting marketers add strategy and arm sales.
AI search relied on unverified internal data. Connecting an intelligence API lets sellers query chat for instant, verified AI battlecards.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Updating PDF battlecards took weeks. Now, AI auto-refreshes market intel and feeds approved talk tracks directly into live deals.
A high-growth cybersecurity provider protecting over four million global endpoints against massive industry competitors.
Disorganized market data housed in basic cloud folders made it impossible to ensure sellers used the correct positioning documents. Sellers relied on...
“Information was being used, but people would hold on and hoard things. I never knew if they were using a correct update or something old. Trying to manage all of the data and keep it organized was almost impossible in Google Workspace. Worse, I never knew what our salespeople were using. There was no way to track our effectiveness or what my team was doing well.”
Managed cybersecurity platform providing EDR and threat hunting for MSPs and SMBs.
AI-powered competitive intelligence platform for win/loss analysis and battlecards.
Huntress's Competitive intelligence is part of this use case:
Related implementations across industries and use cases
Manually tracking 20+ competitors created fire drills and stale intel. An AI does the research, letting marketers add strategy and arm sales.
AI search relied on unverified internal data. Connecting an intelligence API lets sellers query chat for instant, verified AI battlecards.
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
Manually tracking 20+ competitors created fire drills and stale intel. An AI does the research, letting marketers add strategy and arm sales.
AI search relied on unverified internal data. Connecting an intelligence API lets sellers query chat for instant, verified AI battlecards.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.