Jun 11, 2025 · 31m · saastr

5 Ways AI Has Already Changed B2B Sales Forever with Perplexity's CBO Dmitry Shevelenko

Sam Blond · 16m spoken Dmitry Shevelenko · 12m spoken
0:00 / 0:00
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At SaaStr Annual, Perplexity CBO Dmitry Shevelenko and host Sam Blonde discuss how artificial intelligence is fundamentally transforming B2B sales, enterprise productivity, and go-to-market strategies. They emphasize that execution speed, AI-driven discovery, and lean sales models are redefining modern competitive advantage.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →

Jason as informed peer 6.2 Guest teaching 3.5 Guest disagreement 0.0 Jason pushing back 0.0
05100:0010:0020:0030:000:00–3:06 · Jason as informed peer 4/10 Speed as the New Competitive Moat Host Sam Blond introduces the session and guest Dmitry Shevelenko after an initial clip and ad read. The dynamic is introductory and cordial as Dmitry shares his career background and the mission of Perplexity.3:07–6:40 · Jason as informed peer 6/10 AI-Driven Meeting Preparation and Founding Timing Blond explains how he used Perplexity directly to prepare the interview agenda, framing the broader question around GTM applications. Shevelenko elaborates on speed as a moat and explains how market timing made Perplexity viable.6:41–10:40 · Jason as informed peer 5/10 Live Discovery Demos and Rapid Prototyping Blond highlights time savings in sales discovery prep, and Shevelenko offers a tactical technique of doing real-time screen-share discovery queries with prospects. Shevelenko also describes rapid prototyping tools like Cursor and Perplexity Projects.10:40–12:58 · Jason as informed peer 8/10 Automating Demand Generation: Lead Scoring and Intent Signals Blond takes the lead, breaking down a three-step demand gen playbook using models for lead scoring, intent signal overlays, and targeted outreach cadences. He asks Shevelenko how larger organizations can apply these capabilities.12:58–15:41 · Jason as informed peer 4/10 The 80% Expert Model for Enterprise Efficiency Shevelenko educates listeners on the 80% expert mental model, illustrating how cross-functional professionals can triage legal contracts and generate personalized proposals before looping in human specialists.15:42–19:34 · Jason as informed peer 8/10 Disrupting Commodity Sales and Prioritizing Trust Blond details his direct experience testing SaaStr's sales bot and how its transparent downselling built trust. Shevelenko builds on this point, explaining that trust is the core scarce asset for AI products.19:34–22:50 · Jason as informed peer 8/10 Objective AI Pipeline Reviews and Expanding Context Windows Blond describes the flaws of traditional subjective sales rep pipeline reviews and advocates for AI-driven transcript and email analysis. Shevelenko adds context regarding expanding token windows and output fidelity.22:50–25:06 · Jason as informed peer 5/10 The Future of AI: Inquiry Skills and Proactivity Blond asks Shevelenko what the AI landscape will look like in 12 months. Shevelenko provides a nuanced answer focusing on what will remain invariant—inquiry skills and curiosity—alongside proactive rather than reactive intelligence.25:07–28:37 · Jason as informed peer 7/10 Unified Go-to-Market Platforms and Lean Sales Teams Blond predicts unified GTM platforms replacing fragmented tools, enabling technical founders to lean on AI. Shevelenko shares Perplexity's own metric of supporting 5,000 enterprise customers with only five sales reps.28:38–31:00 · Jason as informed peer 7/10 Removing Sales Friction, Compliance Roles, and Perplexity APIs Blond discusses unnecessary human friction in transactional sales, while Shevelenko highlights security and compliance as lingering areas requiring human reps. Shevelenko reveals Blond's startup uses Perplexity APIs, and they close out warmly.0:00–3:06 · Guest teaching 2/10 Speed as the New Competitive Moat Host Sam Blond introduces the session and guest Dmitry Shevelenko after an initial clip and ad read. The dynamic is introductory and cordial as Dmitry shares his career background and the mission of Perplexity.3:07–6:40 · Guest teaching 3/10 AI-Driven Meeting Preparation and Founding Timing Blond explains how he used Perplexity directly to prepare the interview agenda, framing the broader question around GTM applications. Shevelenko elaborates on speed as a moat and explains how market timing made Perplexity viable.6:41–10:40 · Guest teaching 4/10 Live Discovery Demos and Rapid Prototyping Blond highlights time savings in sales discovery prep, and Shevelenko offers a tactical technique of doing real-time screen-share discovery queries with prospects. Shevelenko also describes rapid prototyping tools like Cursor and Perplexity Projects.10:40–12:58 · Guest teaching 1/10 Automating Demand Generation: Lead Scoring and Intent Signals Blond takes the lead, breaking down a three-step demand gen playbook using models for lead scoring, intent signal overlays, and targeted outreach cadences. He asks Shevelenko how larger organizations can apply these capabilities.12:58–15:41 · Guest teaching 6/10 The 80% Expert Model for Enterprise Efficiency Shevelenko educates listeners on the 80% expert mental model, illustrating how cross-functional professionals can triage legal contracts and generate personalized proposals before looping in human specialists.15:42–19:34 · Guest teaching 2/10 Disrupting Commodity Sales and Prioritizing Trust Blond details his direct experience testing SaaStr's sales bot and how its transparent downselling built trust. Shevelenko builds on this point, explaining that trust is the core scarce asset for AI products.19:34–22:50 · Guest teaching 3/10 Objective AI Pipeline Reviews and Expanding Context Windows Blond describes the flaws of traditional subjective sales rep pipeline reviews and advocates for AI-driven transcript and email analysis. Shevelenko adds context regarding expanding token windows and output fidelity.22:50–25:06 · Guest teaching 6/10 The Future of AI: Inquiry Skills and Proactivity Blond asks Shevelenko what the AI landscape will look like in 12 months. Shevelenko provides a nuanced answer focusing on what will remain invariant—inquiry skills and curiosity—alongside proactive rather than reactive intelligence.25:07–28:37 · Guest teaching 5/10 Unified Go-to-Market Platforms and Lean Sales Teams Blond predicts unified GTM platforms replacing fragmented tools, enabling technical founders to lean on AI. Shevelenko shares Perplexity's own metric of supporting 5,000 enterprise customers with only five sales reps.28:38–31:00 · Guest teaching 3/10 Removing Sales Friction, Compliance Roles, and Perplexity APIs Blond discusses unnecessary human friction in transactional sales, while Shevelenko highlights security and compliance as lingering areas requiring human reps. Shevelenko reveals Blond's startup uses Perplexity APIs, and they close out warmly.0:00–3:06 · Guest disagreement 0/10 Speed as the New Competitive Moat Host Sam Blond introduces the session and guest Dmitry Shevelenko after an initial clip and ad read. The dynamic is introductory and cordial as Dmitry shares his career background and the mission of Perplexity.3:07–6:40 · Guest disagreement 0/10 AI-Driven Meeting Preparation and Founding Timing Blond explains how he used Perplexity directly to prepare the interview agenda, framing the broader question around GTM applications. Shevelenko elaborates on speed as a moat and explains how market timing made Perplexity viable.6:41–10:40 · Guest disagreement 0/10 Live Discovery Demos and Rapid Prototyping Blond highlights time savings in sales discovery prep, and Shevelenko offers a tactical technique of doing real-time screen-share discovery queries with prospects. Shevelenko also describes rapid prototyping tools like Cursor and Perplexity Projects.10:40–12:58 · Guest disagreement 0/10 Automating Demand Generation: Lead Scoring and Intent Signals Blond takes the lead, breaking down a three-step demand gen playbook using models for lead scoring, intent signal overlays, and targeted outreach cadences. He asks Shevelenko how larger organizations can apply these capabilities.12:58–15:41 · Guest disagreement 0/10 The 80% Expert Model for Enterprise Efficiency Shevelenko educates listeners on the 80% expert mental model, illustrating how cross-functional professionals can triage legal contracts and generate personalized proposals before looping in human specialists.15:42–19:34 · Guest disagreement 0/10 Disrupting Commodity Sales and Prioritizing Trust Blond details his direct experience testing SaaStr's sales bot and how its transparent downselling built trust. Shevelenko builds on this point, explaining that trust is the core scarce asset for AI products.19:34–22:50 · Guest disagreement 0/10 Objective AI Pipeline Reviews and Expanding Context Windows Blond describes the flaws of traditional subjective sales rep pipeline reviews and advocates for AI-driven transcript and email analysis. Shevelenko adds context regarding expanding token windows and output fidelity.22:50–25:06 · Guest disagreement 0/10 The Future of AI: Inquiry Skills and Proactivity Blond asks Shevelenko what the AI landscape will look like in 12 months. Shevelenko provides a nuanced answer focusing on what will remain invariant—inquiry skills and curiosity—alongside proactive rather than reactive intelligence.25:07–28:37 · Guest disagreement 0/10 Unified Go-to-Market Platforms and Lean Sales Teams Blond predicts unified GTM platforms replacing fragmented tools, enabling technical founders to lean on AI. Shevelenko shares Perplexity's own metric of supporting 5,000 enterprise customers with only five sales reps.28:38–31:00 · Guest disagreement 0/10 Removing Sales Friction, Compliance Roles, and Perplexity APIs Blond discusses unnecessary human friction in transactional sales, while Shevelenko highlights security and compliance as lingering areas requiring human reps. Shevelenko reveals Blond's startup uses Perplexity APIs, and they close out warmly.0:00–3:06 · Jason pushing back 0/10 Speed as the New Competitive Moat Host Sam Blond introduces the session and guest Dmitry Shevelenko after an initial clip and ad read. The dynamic is introductory and cordial as Dmitry shares his career background and the mission of Perplexity.3:07–6:40 · Jason pushing back 0/10 AI-Driven Meeting Preparation and Founding Timing Blond explains how he used Perplexity directly to prepare the interview agenda, framing the broader question around GTM applications. Shevelenko elaborates on speed as a moat and explains how market timing made Perplexity viable.6:41–10:40 · Jason pushing back 0/10 Live Discovery Demos and Rapid Prototyping Blond highlights time savings in sales discovery prep, and Shevelenko offers a tactical technique of doing real-time screen-share discovery queries with prospects. Shevelenko also describes rapid prototyping tools like Cursor and Perplexity Projects.10:40–12:58 · Jason pushing back 0/10 Automating Demand Generation: Lead Scoring and Intent Signals Blond takes the lead, breaking down a three-step demand gen playbook using models for lead scoring, intent signal overlays, and targeted outreach cadences. He asks Shevelenko how larger organizations can apply these capabilities.12:58–15:41 · Jason pushing back 0/10 The 80% Expert Model for Enterprise Efficiency Shevelenko educates listeners on the 80% expert mental model, illustrating how cross-functional professionals can triage legal contracts and generate personalized proposals before looping in human specialists.15:42–19:34 · Jason pushing back 0/10 Disrupting Commodity Sales and Prioritizing Trust Blond details his direct experience testing SaaStr's sales bot and how its transparent downselling built trust. Shevelenko builds on this point, explaining that trust is the core scarce asset for AI products.19:34–22:50 · Jason pushing back 0/10 Objective AI Pipeline Reviews and Expanding Context Windows Blond describes the flaws of traditional subjective sales rep pipeline reviews and advocates for AI-driven transcript and email analysis. Shevelenko adds context regarding expanding token windows and output fidelity.22:50–25:06 · Jason pushing back 0/10 The Future of AI: Inquiry Skills and Proactivity Blond asks Shevelenko what the AI landscape will look like in 12 months. Shevelenko provides a nuanced answer focusing on what will remain invariant—inquiry skills and curiosity—alongside proactive rather than reactive intelligence.25:07–28:37 · Jason pushing back 0/10 Unified Go-to-Market Platforms and Lean Sales Teams Blond predicts unified GTM platforms replacing fragmented tools, enabling technical founders to lean on AI. Shevelenko shares Perplexity's own metric of supporting 5,000 enterprise customers with only five sales reps.28:38–31:00 · Jason pushing back 0/10 Removing Sales Friction, Compliance Roles, and Perplexity APIs Blond discusses unnecessary human friction in transactional sales, while Shevelenko highlights security and compliance as lingering areas requiring human reps. Shevelenko reveals Blond's startup uses Perplexity APIs, and they close out warmly.

speaking balance: gold is Jason, purple is the guest (3 minute bins)

0:00 · Jason 0% · guest 100%0:00 · Jason 0% · guest 100%3:00 · Jason 0% · guest 100%3:00 · Jason 0% · guest 100%6:00 · Jason 0% · guest 100%6:00 · Jason 0% · guest 100%9:00 · Jason 0% · guest 100%9:00 · Jason 0% · guest 100%12:00 · Jason 0% · guest 100%12:00 · Jason 0% · guest 100%15:00 · Jason 0% · guest 100%15:00 · Jason 0% · guest 100%18:00 · Jason 0% · guest 100%18:00 · Jason 0% · guest 100%21:00 · Jason 0% · guest 100%21:00 · Jason 0% · guest 100%24:00 · Jason 0% · guest 100%24:00 · Jason 0% · guest 100%27:00 · Jason 0% · guest 100%27:00 · Jason 0% · guest 100%30:00 · Jason 0% · guest 100%30:00 · Jason 0% · guest 100%
Sharpest disagreement ▶ 22:09 Reframing the future around invariants

Rather than predicting new features, Shevelenko flips the prompt to focus on what will not change, asserting that human inquiry and curiosity remain the core bottleneck.

Hardest push from Jason ▶ 28:40 Pushback on unnecessary transactional sales reps

Blond challenges standard B2B sales motions, arguing that forced calls with transactional reps add negative value compared to automated self-serve AI workflows.

Biggest teaching moment ▶ 13:18 The 80 percent expert workflow framework

Shevelenko outlines an actionable framework for utilizing AI to complete 80 percent of specialized tasks like contract review before consulting specialists.

Jason holds their own ▶ 10:39 Outlining automated GTM demand generation steps

Blond demonstrates deep domain expertise by detailing how AI models should score accounts, layer intent signals, and prescribe targeted outreach strategies.

the scores for every segment, with the reasoning behind each
ChapterTopicJason as informed peerGuest teachingGuest disagreementJason pushing backWhy
Speed as the New Competitive Moat 4200 Host Sam Blond introduces the session and guest Dmitry Shevelenko after an initial clip and ad read. The dynamic is introductory and cordial as Dmitry shares his career background and the mission of Perplexity.
AI-Driven Meeting Preparation and Founding Timing 6300 Blond explains how he used Perplexity directly to prepare the interview agenda, framing the broader question around GTM applications. Shevelenko elaborates on speed as a moat and explains how market timing made Perplexity viable.
Live Discovery Demos and Rapid Prototyping 5400 Blond highlights time savings in sales discovery prep, and Shevelenko offers a tactical technique of doing real-time screen-share discovery queries with prospects. Shevelenko also describes rapid prototyping tools like Cursor and Perplexity Projects.
Automating Demand Generation: Lead Scoring and Intent Signals 8100 Blond takes the lead, breaking down a three-step demand gen playbook using models for lead scoring, intent signal overlays, and targeted outreach cadences. He asks Shevelenko how larger organizations can apply these capabilities.
The 80% Expert Model for Enterprise Efficiency 4600 Shevelenko educates listeners on the 80% expert mental model, illustrating how cross-functional professionals can triage legal contracts and generate personalized proposals before looping in human specialists.
Disrupting Commodity Sales and Prioritizing Trust 8200 Blond details his direct experience testing SaaStr's sales bot and how its transparent downselling built trust. Shevelenko builds on this point, explaining that trust is the core scarce asset for AI products.
Objective AI Pipeline Reviews and Expanding Context Windows 8300 Blond describes the flaws of traditional subjective sales rep pipeline reviews and advocates for AI-driven transcript and email analysis. Shevelenko adds context regarding expanding token windows and output fidelity.
The Future of AI: Inquiry Skills and Proactivity 5600 Blond asks Shevelenko what the AI landscape will look like in 12 months. Shevelenko provides a nuanced answer focusing on what will remain invariant—inquiry skills and curiosity—alongside proactive rather than reactive intelligence.
Unified Go-to-Market Platforms and Lean Sales Teams 7500 Blond predicts unified GTM platforms replacing fragmented tools, enabling technical founders to lean on AI. Shevelenko shares Perplexity's own metric of supporting 5,000 enterprise customers with only five sales reps.
Removing Sales Friction, Compliance Roles, and Perplexity APIs 7300 Blond discusses unnecessary human friction in transactional sales, while Shevelenko highlights security and compliance as lingering areas requiring human reps. Shevelenko reveals Blond's startup uses Perplexity APIs, and they close out warmly.

Statements from this episode (22)

Insight
Sales Teams Should Use AI for Discovery Before Meetings
“Every question that you would ask in a meeting with some, you know, third party and an external party, you can be asking those questions of perplexity of different AIs in advance, right? So the, there's no excuse to not be informed. You should not actually be …”
Dmitry Shevelenko Jun 11, 2025 ▶ 0:14
Disclosure
Sam Blond Is Building a Stealth End-to-End Revenue Platform
“I'm also the founder of a startup that's in stealth. That's an end to end revenue platform.”
Sam Blond Jun 11, 2025 ▶ 1:50
Insight
Shevelenko: Speed Is the New Competitive Moat
“Speed is the new mode, right? So the one, if there's one takeaway, you have no excuse to not be moving faster, right? And really, you now have these superpowers at your fingertips.”
Dmitry Shevelenko Jun 11, 2025 ▶ 5:07
What-if
Perplexity Would Have Failed If Founded Six Months Earlier or Later
“If we had, you know, we got lucky with timing. If we had founded the company six months before we did, GPT-III would not have been good enough, the equivalent of it, at that point in time, and we wouldn't have been able to create that initial magical experienc…”
Dmitry Shevelenko Jun 11, 2025 ▶ 6:12
Assertion Not checkable as stated
Related Questions Are Perplexity's Most Popular Product Feature
“One of the most popular features in the product are the related questions that we show below the answer.”
Dmitry Shevelenko Jun 11, 2025 ▶ 7:54
Disclosure
Perplexity to Launch Projects Feature for Building Mini-Apps
“We're going to have the ability to build many apps and perplexity soon, or something's going to get announced called projects.”
Dmitry Shevelenko Jun 11, 2025 ▶ 10:03
Insight
AI Reduces Early Startup Prototyping From Weeks to One Hour
“To quickly visualize different concepts and get feedback on them, that should no longer take a week, a month. That's like an hour. And you should be constantly running through your head. You know, how can I do in one hour, what used to take a day? In one day, …”
Dmitry Shevelenko Jun 11, 2025 ▶ 10:14
Insight
Sales Teams Must Adopt AI for Demand Gen to Stay Competitive
“These three different steps here, score my database for me, overlay intent signals on top of my score database. And then tell me what I should do to break into these accounts based off of the information that exists in these scores and intent signals. Models a…”
Sam Blond Jun 11, 2025 ▶ 12:14
Insight
AI Brings Non-Specialists to 80% Expert Level in Unfamiliar Fields
“I think one mental model is to assume that using a tool like perplexity and other AIs, you can get to 80% of an expert level in a lot of fields that, you know, are not your profession, right?”
Dmitry Shevelenko Jun 11, 2025 ▶ 13:18
Disclosure
Dmitry Shevelenko Uses Perplexity to Pre-Screen Contracts Before Legal Review
“Instead of immediately kicking over to the lawyer, I run it through perplexity and I prompt, I ask, Hey, what are the likely issues here? And what should I actually discuss with my counsel?”
Dmitry Shevelenko Jun 11, 2025 ▶ 13:36
Insight
Shevelenko: AI delivers 80% first drafts without replacing human judgment
“You should never then just take that output and immediately hit send. That's not, I think that's, it's not about replacing human judgment and oversight. It's about saving you that time to get to the 80% quality first draft and then making sure you're applying …”
Dmitry Shevelenko Jun 11, 2025 ▶ 15:21
Prediction Not checkable as stated
Sam Blond Predicts AI Will Fully Automate Transactional Sales
“Transactional sort of commodity like sales will be disrupted in ways that support has been disrupted, where more and more revenue will be generated from just pure models, converting website visitors to revenue without the sales touch. And I think that will con…”
Sam Blond Jun 11, 2025 ▶ 16:26
Insight
Shevelenko: Trust Will Be the Scarce Asset of the Agentic Internet
“And trust will be the scarce asset of the agentic internet.”
Dmitry Shevelenko Jun 11, 2025 ▶ 19:09
Insight
Sam Blond: Traditional CRM Forecasts Are Fundamentally Wrong Due to Bias
“The only problem is it's entirely wrong. And, you know, you have like a sales rep that is adding their own like subjective Experience about the account. Like they may want to influence the sales manager to think that the deal is going to close, or they may be …”
Sam Blond Jun 11, 2025 ▶ 20:52
Prediction Not checkable as stated
Shevelenko Predicts AI Context Windows Will Continue to Expand Reliably
“The one thing that you can rely on in terms of the direction of AI progress is the context windows will expand, right? You'll be able to feed more into the prompt and get a useful output right now.”
Dmitry Shevelenko Jun 11, 2025 ▶ 22:10
Assertion Supported
LLM Output Quality Deteriorates at Million-Token Context Sizes
“They claim million tokens, ten million tokens. When you start going up to that size of input. The quality deteriorates on the output”
Dmitry Shevelenko Jun 11, 2025 ▶ 22:22
Insight
Perplexity CBO: Asking the Right Questions Remains Critical as AI Evolves
“Coming up with the right questions to ask will become the critical skill, right? And you can say that's a form of like prompting, but preserving the spark of curiosity and knowing where to take the next question. That's because the answers will keep getting sm…”
Dmitry Shevelenko Jun 11, 2025 ▶ 23:45
Prediction Not checkable as stated
Shevelenko Predicts AI Will Shift to Proactive Assistance Within 12 Months
“I think where we want to take the technology is to become a lot more proactive rather than being reactive, right? So instead of you having to always ask for the update of what's happening with this account, we're able to detect those changes that are meaningfu…”
Dmitry Shevelenko Jun 11, 2025 ▶ 24:24
Prediction Not checkable as stated
Sam Blond Predicts Unified Platforms Will Consolidate AI Sales Tools
“I think there will be a sort of like unified platform that comes together that takes all of these sort of disparate piecemeal processes and basically combines them. So you can effectively say like, this is my TAM. I want meetings. And the output can be, these …”
Sam Blond Jun 11, 2025 ▶ 25:50
Assertion Supported
Perplexity Serves 5,000 Enterprise Clients With Just Five Sales Reps
“We have around over 5000 enterprise clients for Prophexity Enterprise Pro, and we have five sellers.”
Dmitry Shevelenko Jun 11, 2025 ▶ 27:08
Insight
Human Sales Reps Remain Essential for Security and Compliance Reviews
“Where sellers end up being still very essential is things like security and compliance review, where you're actually, it goes back to trust where it's somewhat arbitrary process.”
Dmitry Shevelenko Jun 11, 2025 ▶ 29:55
Assertion Not checkable as stated
Over 75,000 Developers Currently Use Perplexity's Sonar APIs
“We have. 75,000 developers using them and in very much in the space where Sam is building, we're seeing a lot of traction.”
Dmitry Shevelenko Jun 11, 2025 ▶ 30:45
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