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SaaS GTM Strategy 2025: Why AI-First Buyer Research Changes Everything

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Read time: 5 minutes.

Welcome to the 152nd edition of The Growth Elements Newsletter. Every Monday and sometimes on Thursday, I write an essay on growth metrics & experiments and business case studies.

Today’s piece is for 8,000+ founders, operators, and leaders from businesses such as Shopify, Google, Hubspot, Zoho, Freshworks, Servcorp, Zomato, Razorpay and Zoom.

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Old Reality: Buyers called sales after 3-6 months of research.

New Reality: Buyers show up 70% through their decision process, armed with AI-powered research and a shortlist of 2-3 vendors.

Problem: Your entire go-to-market strategy was built for the old buyer journey.

[1] AI-Powered Buyer Revolution

How Buyers Research Now

  • "ChatGPT, what are the best CRM tools for a 50-person SaaS company?"

  • AI-curated vendor comparisons: Feature matrices and pricing analysis in minutes

  • Validation searches: "Red flags when buying [your category]"

Impact: 67% of B2B buyers use AI during vendor evaluation. They arrive at sales calls with questions that used to take months to surface.

Compressed Decision Cycles

  • 2023 Average: 6-9 months

  • 2025 Average: 2-3 months

  • Result: 50-70% shorter evaluation cycles = less time to build relationships

[2] Building Content That Dominates AI Recommendations

AI-First Content Framework

Direct Answer Content:

  • "Best [category] for [specific use case]" comprehensive guides

  • "How to choose [solution type]" decision frameworks

  • "[Your product] vs [competitor]" honest comparisons

  • Implementation guides with real timelines and costs

AI-Friendly Answer Structure:

Question: "What's the best CRM for B2B SaaS?"

AI-Optimized Response:
- Clear recommendations with reasoning
- Specific use case scenarios
- Pricing transparency
- Implementation complexity
- Integration capabilities
- Quantified customer results

Content Distribution Strategy

  • Public knowledge bases AI can access

  • Community forums with real customer discussions

  • Third-party reviews with detailed use cases

  • Podcast transcripts and video content with searchable text

[3] New Sales Process

AI-Informed Discovery Framework

Traditional Discovery: 3-4 calls to understand needs

AI-Informed Discovery: 1 call to validate and customise

New Sales Call Structure:

  • Validation (10 min): Confirm AI research accuracy

  • Customisation (20 min): Specific use case deep-dive

  • Differentiation (15 min): Why not competitors X, Y, Z

  • Implementation (15 min): Timeline and success metrics

Common AI-Informed Objections

  • "AI told me [competitor] is better for my use case"

  • "Your pricing is 30% higher than alternatives"

  • "Reviews mention [specific pain point]"

Response Framework:

  • Acknowledge the research quality

  • Provide context AI might miss

  • Share recent updates

  • Offer specific proof points

[4] Implementation Roadmap

Month 1: Buyer Research Audit

  • Survey customers about their research process

  • Test what AI tools recommend for your category

  • Identify content gaps in competitive positioning

Month 2-3: Content Transformation

  • Create AI-friendly comparison content

  • Build comprehensive decision frameworks

  • Optimise technical documentation

Month 4-6: Sales Evolution

  • Train team on AI-informed buyer behaviours

  • Create accelerated discovery frameworks

  • Develop competitive differentiation playbooks

[5] Bottom Line

Reality: Buyers evolved. Your GTM strategy needs to catch up.

Opportunity: Companies that adapt to AI-first buyer research will dominate their categories.

Action: Stop optimising for 2023 buyer behaviour. Start winning the AI-informed buyers making decisions in 2025.

Your traditional sales funnels aren't broken; they're obsolete.

That's it for today's article! I hope you found this essay insightful.

Wishing you a productive week ahead!

I always appreciate you reading.

Thanks,
Chintankumar Maisuria