B2B Insights
Lauren Daniels
October 24, 2025
The modern go-to-market (GTM) engine is more complex than ever, involving sales, marketing, RevOps, customer success, and product, all moving in sync. But traditional GTM strategies often hit a wall when teams can’t move fast enough, analyze data deeply enough, or personalize outreach at scale.
That’s where AI tools in GTM strategy make a real difference. Artificial intelligence brings automation, predictive insights, and personalization to every stage of the GTM funnel, helping teams make smarter decisions, faster.
Below, we’ll cover 10 of the top AI-powered tools for B2B GTM, explain how they fit into your strategy, and show you how to pick the right stack for lasting growth.
Before getting into the tools, it’s important to define what makes a GTM AI tool truly valuable.
Here’s what to look for:
The goal isn’t just to add AI for novelty, it’s to embed intelligence into your GTM architecture so your team operates with precision and confidence.
Each of these tools addresses a different layer of the GTM stack, from account targeting and analytics to enablement and personalization. The key is understanding not just what each tool does, but how it fits into your broader GTM architecture and where it delivers the most value.
What it does: Demandbase is a leading AI-driven account-based marketing (ABM) platform that helps B2B teams identify, engage, and convert high-value accounts through intelligent targeting and orchestration.
Why it works: Its predictive AI models help prioritize accounts with the highest buying intent and automate personalized outreach across channels. The platform analyzes millions of buying signals to surface accounts showing active research behavior, budget allocation, or technology evaluation patterns. This allows marketing and sales teams to focus their efforts on accounts most likely to convert, rather than casting a wide net.
Best for: B2B companies running ABM programs or managing long, multi-touch sales cycles, particularly in enterprise and mid-market segments where deal values justify targeted account engagement.
Use cases:
What it does: ChatGPT and other large language models are versatile assistants for marketing, sales, and product teams, capable of generating, analyzing, and transforming content at scale.
Why it works: They accelerate ideation, copywriting, customer communication, and data synthesis, enabling faster GTM execution. Unlike traditional tools that require extensive setup, ChatGPT can be deployed immediately for dozens of GTM use cases. It acts as an always-available strategic partner for everything from campaign brainstorming to competitive analysis.
Best for: Content creation, sales enablement, product messaging, and customer education across all company stages.
Use cases:
Pro tip: Create custom GPTs or maintain a prompt library for your most common GTM tasks. This ensures consistency in output quality and reduces the time spent crafting effective prompts.
What it does: Highspot uses AI to recommend the most relevant content, playbooks, and insights for every sales interaction, ensuring reps always have the right asset at the right moment.
Why it works: It ensures sales reps always have the right content for the right buyer, improving consistency and closing rates. The platform learns from which content drives the best outcomes, surfaces those assets to other reps, and identifies gaps in your content library. This creates a continuous improvement loop where successful content gets amplified and underperforming assets get retired or refreshed.
Best for: Mid-to-large B2B sales teams with diverse products or long deal cycles where content plays a critical role in buyer education and objection handling.
Use cases:
What it does: Cognism combines contact data, intent signals, and compliant enrichment to supercharge outbound prospecting with accurate, actionable intelligence.
Why it works: It provides real-time, accurate data that aligns sales and marketing on target accounts — a basis of AIi-powered GTM strategies for B2B. The platform's Diamond Data® provides phone-verified mobile numbers and email addresses, dramatically improving connect rates. Its intent data shows which accounts are actively researching solutions in your category, allowing for perfectly timed outreach.
Best for: Outbound SDR teams, enterprise prospecting, and RevOps automation, particularly in markets with strict data compliance requirements (GDPR, CCPA).
Use cases:
What it does: Warmly uses AI to deanonymize website visitors, helping GTM teams identify and act on hidden buying signals that would otherwise be lost in anonymous traffic.
Why it works: It turns anonymous traffic into actionable opportunities, reducing lost conversions. Most B2B websites convert less than 3% of visitors into leads, meaning 97% of your traffic remains anonymous. Warmly reveals the companies (and often specific individuals) behind that traffic, their browsing behavior, and their intent signals, allowing for immediate follow-up while interest is highest.
Best for: Growth-stage SaaS and enterprise GTM teams looking to maximize inbound efficiency and recover lost pipeline from website visitors who don't fill out forms.
Use cases:
What it does: Vidyard combines AI and video personalization to help sales and marketing teams create engaging, scalable outreach that stands out in crowded inboxes.
Why it works: AI-generated avatars and automated scripting make video personalization fast and repeatable — ideal for cold outreach or demos. Video messages have 3-5x higher engagement rates than text-only emails, and Vidyard's AI features eliminate the traditional bottlenecks of video production. Sales reps can record once and personalize at scale using AI voice and image synthesis.
Best for: Outbound sales teams, marketing automation, and customer success teams looking to create more human connections at scale.
Use cases:
What it does: Drift's conversational AI helps companies engage leads in real-time using intelligent chatbots that qualify and route conversations to the right sales rep or resource.
Why it works: By capturing buyer intent instantly, Drift helps shorten response time and accelerate lead conversion. The platform's AI learns from thousands of conversations to improve qualification accuracy over time, asking the right questions to determine fit and urgency. This ensures hot leads get immediate attention while lower-priority inquiries receive helpful self-service resources.
Best for: B2B companies with complex inbound funnels or multiple GTM segments where proper lead routing is critical to conversion rates.
Use cases:
What it does: Usermaven helps GTM teams analyze buyer behavior, measure funnel health, and identify revenue opportunities through AI-driven analytics and predictive insights.
Why it works: It creates a single source of truth for marketing, sales, and product teams — essential for alignment in modern GTM strategies. The platform connects the dots between marketing touchpoints, product usage, and revenue outcomes, revealing which activities actually drive conversions versus vanity metrics that don't correlate with business results.
Best for: RevOps, growth teams, and GTM analysts who need to understand the complete buyer journey from first touch to closed-won.
Use cases:
What it does: Zapier uses AI and automation to connect tools across your GTM stack, from CRM to marketing automation to analytics, without requiring engineering resources.
Why it works: It allows teams to validate integration ideas quickly without engineering dependency, a cornerstone of practical integration strategies in go-to-market. GTM teams can build and test automated workflows in hours rather than waiting weeks for engineering sprints. This agility is critical for fast-moving teams that need to adapt quickly to changing market conditions.
Best for: Early- and mid-stage teams needing flexible automation, or larger companies looking to prototype workflows before investing in native integrations.
Use cases:
What it does: Jasper uses AI to create and personalize marketing content across ads, blogs, landing pages, and emails, maintaining brand consistency while enabling scale.
Why it works: It speeds up GTM execution by ensuring consistent messaging across all touchpoints while allowing deep personalization by audience segment. Marketing teams can create dozens of content variations for different personas, industries, or stages of the buyer journey in the time it would take to manually write just one. The platform learns your brand voice and maintains it across all outputs.
Best for: Marketing teams, content ops, and demand generation leaders managing high-volume content production across multiple channels and segments.
Use cases:
Selecting the right tools depends on your stage, team size, and GTM model.
Here’s a simple decision framework:
Stage
Focus
Recommended Tools
Early (0–1)
Message-market fit, lead gen
ChatGPT, Zapier, Jasper
Growth (1–3)
Demand generation, ops alignment
Cognism, Drift, Warmly
Scale (3+)
Full-stack automation, ABM orchestration
Demandbase, Highspot, Usermaven
Tip: Start with one AI tool that solves your biggest GTM bottleneck and expand from there.
Measuring the impact of AI tools ensures accountability and sustained adoption.
Here are the key KPIs to monitor:
Primary KPIs
Secondary KPIs
Pro tip: Always tie your AI tool performance to revenue outcomes; that’s how you demonstrate ROI to leadership.
AI is no longer a futuristic add-on, it’s the foundation of modern GTM success.
The right AI tools in GTM strategy help teams align faster, personalize better, and execute with precision.
Whether you’re scaling an enterprise GTM motion or building your first B2B stack, the goal is the same: Use AI to make your go-to-market smarter, not just faster.
If you’re looking to develop AI-powered GTM strategies for B2B, start with an audit of your current stack, identify one high-impact use case, pilot the right AI tool, and watch your GTM engine evolve.
1. What is an AI tool for GTM strategy?
It’s a software powered by artificial intelligence that automates, analyzes, or personalizes parts of your go-to-market workflow — from lead scoring to messaging.
2. Can AI tools replace human teams?
No. They enhance decision-making and efficiency but still require human strategy and oversight.
3. Which AI tool should I start with?
If you’re new to AI, start with ChatGPT or Jasper for fast wins in content and messaging. Then explore analytics or ABM tools like Demandbase or Usermaven.
4. How do I measure success?
Track conversion rates, campaign efficiency, pipeline velocity, and revenue attribution tied to AI-assisted actions.
5. How much do AI GTM tools cost?
Most start with freemium or usage-based pricing. Enterprise plans can range from $500 to $5,000/month depending on scale and integrations.
