Google Ads Demo Slam 2025: From Keywords to Conversations

Picture of James Harper

James Harper

VP, Search

How B2B SaaS Marketers Can Harness the Next Era of AI-Powered Advertising

Google Ads Demo Slam 2025 wasn’t just another product showcase. It was a glimpse into the future of how marketing, AI, and user intent will converge. The announcements confirmed what we’ve been predicting for months: Google is moving beyond AI-assisted advertising into agentic, context-aware systems that participate in the buying journey rather than simply optimizing it.

For B2B tech and SaaS marketers, the implications are enormous.
Demo Slam introduced a wave of beta products, from Ads in AI Mode to AI Max for Search, that expand where and how our brands appear in an increasingly conversational and AI-mediated web.

Below, we break down the major takeaways most relevant to B2B advertisers, and how Just Global recommends preparing your strategy for the era of AI-native advertising.

1. The AI Trifecta: Max, Overviews, and Mode

At the heart of this year’s Demo Slam were three interconnected betas that redefine how ads are served, surfaced, and understood: AI Max, Ads in AI Overviews, and Ads in AI Mode.

Together, they signal a complete evolution in how intent is captured—moving from static keywords to dynamic, context-based conversation models.

In the year ahead, the most disruptive force in media won’t be a new channel. It will be the presence of AI in and across all of them. AI is becoming the accelerator between audience, content, and context. It allows us to adapt messages dynamically and make smart decisions that drive better outcomes. 

This isn’t about hype. It’s about real impact. And the untapped potential is extraordinary. 

AI Max for Search Campaigns

Availability: Global | Languages: English + major markets

AI Max is now the unified AI engine powering Search campaigns. It blends targeting, creative, and feed-level automation—combining search-term matching, text customization, and final-URL expansion—without requiring advertisers to rebuild existing structures

Think of it as Performance Max for Search—but with more transparency and control. This is the upgrade to Dynamic Search Ads we’ve all been waiting for and it’s how we will connect intent to content.

Why this matters for B2B:

This is the purest expression yet of the “AI-disrupted buyer journey.” Prospects may ask an AI a series of layered questions – “best cloud observability platforms → enterprise integrations → pricing models” – and your ad can dynamically enter that conversation when intent peaks.

Just Global’s guidance:

  • Prepare content ecosystems, not isolated landing pages. AI Mode thrives on structured, semantically rich content that maps to context.
  • Use schema markup and clear product taxonomies to help Google’s AI understand your offering.
  • Expect early volatility: performance data will be thin, but learnings will shape long-term competitive advantage.
  • Stay closely aligned with Google’s beta program—early access equals early insights.

2. The Agentic Layer: From Assistants to Co-Pilots

The other major theme of Demo Slam was the rise of agentic AI—systems that don’t just support marketers but act as autonomous partners in optimization and creative iteration.

Ads Advisor

Availability: Global | Languages: English 

Described as a “24/7 agentic conversational experience”, Ads Advisor brings ChatGPT-style assistance inside Google Ads

It can explain performance trends, troubleshoot issues, and even suggest new creative text or images.

For B2B teams, it’s a productivity multiplier—especially for large, complex accounts with multiple products, verticals, and funnel stages.

Just Global’s take:

  • Use Ads Advisor as a co-pilot, not an autopilot. Human review remains critical for nuanced messaging and compliance.
  • Document accepted vs. rejected AI suggestions to quantify impact and guide future training.
  • Integrate its outputs into regular performance reviews—treat it as another voice at the optimization table.

Suggested Assets

Availability: Global 

This new feature creates an AI-powered workspace where Google surfaces recommended creative assets (text, images, videos) tailored to your campaigns

Why this matters for B2B:

Building fresh creative variants for niche SaaS products is resource-intensive. Suggested Assets can accelerate experimentation while maintaining brand guardrails, particularly useful for A/B testing technical messaging across personas.

Our guidance: 

  • Establish brand-safety criteria (approved color palettes, messaging tone) before enabling automation.
  • Vet each AI-generated asset for factual and compliance accuracy, especially when referencing features or industries.
  • Treat AI as an ideation partner to overcome creative fatigue.

3. The Supporting Infrastructure

While AI stole the spotlight, several operational updates deserve attention for B2B campaign management:

  • Campaign Total Budgets: Set fixed-period budgets (3–90 days) with flexible ramping for promotional bursts. Useful for quarterly spend pacing.
  • Cross-Campaign Reach & Frequency Optimization: Centralized management of YouTube line items against unified reach goals.
  • Lookalike Audiences for YouTube & GMP: Expands reach using first-party data; valuable for scaling ABM awareness plays.
  • Integrated Conversion Measurement for Apps: Provides more real-time, cross-platform attribution accuracy.
  • Automated Discounts for Revenue: Although retail-oriented, this demonstrates Google’s push toward AI-driven pricing and elasticity modeling—concepts that could soon influence B2B lead valuation.

Each of these enhances control, measurement, or scalability—critical complements to the AI-driven future.

4. Strategic Takeaways for B2B Tech & SaaS

  1. Intent moves from keywords to conversations.
    AI Mode and AI Overviews transform how prospects discover and evaluate solutions. Context replaces explicit queries. Optimizing for “conversation relevance” will soon be as important as keyword optimization once was.
  2. Automation requires architecture.
    AI Max and Suggested Assets can scale performance; but only if your data, tagging, and creative frameworks are structured. Garbage in, garbage out remains true in 2025.
  3. Content is now ad fuel.
    Your owned content (case studies, documentation, whitepapers) feeds the contextual models driving AI placements. Invest in semantic clarity and topic authority.
  4. Measurement complexity will spike.
    Attribution models must evolve to capture exposure inside AI interfaces. Prepare analytics to track AI-mode impressionsand conversation-level engagement.
  5. Early adoption = data advantage.
    These betas offer outsized learning opportunities. The brands who test now will shape benchmarks and capture efficiency gains before competitors adapt.

5. How Just Global Is Guiding Clients Through the Shift

At Just Global, we view these updates through a B2B lens: complex funnels, long sales cycles, and the need for precision storytelling. Our approach emphasizes human-first AI adoption, balancing innovation with brand stewardship.

Here’s our phased playbook for integrating Google’s 2025 AI suite:

Phase
1 – Foundation
Goal

Prepare your data & creative ecosystem

Key Actions

Audit Search structures, review conversion accuracy, clean up negative lists, and ensure consistent messaging taxonomy.

2 – Pilot

Test in low-risk environments

Activate AI Max on non-core campaigns, apply AI Overviews eligibility, and monitor CTR/CPA deltas.

3 – Learn

Compare human vs AI Performance

Analyze Ads Advisor and Suggested Assets recommendations. Track incremental lift, creative variance, and account efficiency.

4 – Scale

Integrate successful betas

Expand AI-enabled campaigns to top-performing verticals; update measurement models.

5 – Evolve

Future-proof

Incorporate conversational data into audience segmentation and content strategy; prepare for AI-native attribution reporting.

6. The Bigger Picture

Demo Slam 2025 proved that we’ve officially entered the AI-native advertising era.
From AI Max’s intelligent targeting to Ads in AI Mode’s contextual placement and Ads Advisor’s agentic guidance, the walls between “search,” “conversation,” and “campaign management” are dissolving.

For B2B marketers, this means opportunity, but also responsibility.
AI will not replace strategy, creativity, or authenticity. It will amplify them. The challenge and the art is using these new tools to create relevance at scale without losing the precision that enterprise buyers expect.

As we said in our last piece on AI Disrupting the Buyer Journey, the future of marketing belongs to those who embrace AI as both a storyteller and a strategist.
Demo Slam 2025 is making that future tangible.

Want to explore how these betas can fit into your 2025 roadmap?

Just Global is actively partnering with Google to pilot these features for B2B clients. Reach out to learn how you can participate.

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