Unlock Maximum Growth with AI Search

AI is radically changing the search landscape. For B2B marketers, this shift presents both a significant challenge and a massive opportunity. Historically, B2B search has been a challenging arena, characterised by low keyword volume, high CPCs in competitive verticals such as SaaS, and the constant struggle to generate a steady stream of high-quality, converting leads through non-branded SEO (branded b2b search has typically fared much better, though).

Now, AI has completely altered the playbook. The entire SEO strategies of yesteryear are thrown out the window. It’s platforms like Reddit, and Quora which are driving AI search to a large degree, and even Google search has altered radically.

The introduction of Google’s AI Max for Search campaigns, for example, a one-click, AI-powered suite of targeting and creative innovations, along with the Search Generative Experience (SGE), means the old keyword-first strategy is quickly becoming obsolete. B2B marketers must adapt to survive and thrive in this transformed environment.

This post will provide a comprehensive framework for founders, CMOs, and demand generation leaders to leverage AI-powered search for maximum growth. We will explore how to integrate tools like AI Max and Performance Max, into your B2B AI marketing strategy to drive demand, enhance personalization, and ultimately, increase conversions.

The New Reality of AI in B2B Search

The way customers find information is undergoing a fundamental transformation. AI search assistants, such as Google AI Overviews, are increasingly delivering summarized insights directly on the results page, often bypassing traditional organic listings. This new reality requires a new approach to both paid and organic search.

Google’s AI Max for Search campaigns, currently in beta, is at the forefront of this change. It enhances standard search campaigns with broad-match expansion, AI-generated headlines and descriptions, and automatic final URL selection.

According to Google, advertisers who activate AI Max typically see a 14% increase in conversions or conversion value at a similar CPA or ROAS. For campaigns that have heavily relied on phrase and exact match keywords, the uplift is even more substantial, up to 27%.

These AI-driven enhancements allow B2B marketers to discover new, relevant queries they might have otherwise missed. Recent updates also provide greater transparency, surfacing metrics for AI-driven expansions, including traffic from AI-generated keyword matches and landing pages. This data gives marketers the insights needed to optimize their campaigns effectively.

The AI Max Framework for B2B Success

To succeed in this new era, B2B leaders need a fully integrated strategy that integrates AI across the entire marketing and sales funnel. This framework breaks down how to apply AI-powered tools, including AI Max, to achieve maximum growth.

Search & Market Visibility

The first step is ensuring your brand is visible where your future customers are searching. This means optimizing for how AI search engines work.

Optimize SEO for AI Search: Your focus must shift from pure keyword targeting to establishing topic authority. Create comprehensive pillar pages and structured content, like FAQ schema, that AI summarizers can easily parse and surface in AI Overviews. Your content needs a clear, brand-aware narrative that positions your company as a thought leader.

Leverage AI Max for Search Campaigns: This is where you can truly amplify your reach. To get the most out of it, you should:

Enable Search Term Matching: This feature uses broad match and keywordless technology to discover new, relevant search queries, expanding your reach to high-intent audiences you weren’t accessing before.

Use Text Customization: Allow Google AI to automatically generate compelling ad copy, including headlines and descriptions, based on your landing pages, existing ads, and keywords.

Deploy Final URL Expansion: Let the system send users to the most relevant destination page on your website based on their search context, improving user experience and conversion potential.

Maintain Precision with Controls: AI Max isn’t a ‘set it and forget it’ tool. Use the built-in brand and location controls to maintain precision and actively monitor reporting to refine your B2B AI marketing strategy.

AI Demand Generation

Once you have established visibility, the next step is to capture and convert intent into qualified leads. AI accelerates this process.

Use Predictive Platforms: Tools like 6sense, Demandbase, and Apollo leverage AI to identify and target high-intent accounts that are actively researching solutions like yours. This allows you to engage prospects early in their buying journey.

Activate AI-Powered Bidding: Whether on LinkedIn Ads or through AI Max campaigns, AI-driven bidding strategies optimize for cost-per-lead (CPL) efficiency and help you reach your most valuable audiences at scale.

Deploy Conversational AI: Implement chatbots and virtual assistants from providers like Drift or Intercom on your website. These tools can instantly qualify visitors, answer questions, and book meetings, seamlessly aligning with your CRM to ensure no lead falls through the cracks.

Content & ABM Personalization

In B2B, personalization is paramount. AI enables you to scale your account-based marketing (ABM) efforts and deliver tailored content to every key stakeholder.

Accelerate Content Creation: Use AI writing assistants like Jasper or Writer to create first drafts of blog posts, whitepapers, and ad copy. This frees up your marketing team to focus on strategic editing, ensuring the final content reflects your brand’s unique tone, nuance, and credibility.

Customize Content for ABM: AI allows you to tailor messaging for different personas within the same target account. For example, you can create distinct content variations that speak to the specific pain points of a CIO versus a CMO, increasing relevance and engagement.

Sales & Marketing Alignment

A successful B2B AI marketing strategy requires tight alignment between marketing and sales. AI can bridge the gap and create a seamless feedback loop. But this part also relies heavily on human interaction. You, as a marketer, must talk to your sales team, to your CRO, to the SDRs and SDR manager – to ensure that you explain the new AI-centric approach, and that the entire sales and marketing team are in concert.

Automate Lead Scoring: Ensure that only the most qualified, high-fit marketing qualified leads (MQLs) are passed to your sales team. AI-powered lead scoring analyzes behavioral and firmographic data to prioritize leads accurately.

Leverage Conversation Intelligence: Tools like Gong and Chorus analyze sales calls to provide real-time insights. This data is a goldmine for marketers, offering direct feedback on messaging, customer objections, and competitor mentions that can be used to refine your strategy.

Analytics & Growth Operations

Finally, you need to measure what matters. AI enhances your ability to track performance and tie marketing activities directly to revenue.

Apply GA4 Anomaly Detection: Use the built-in AI features in Google Analytics 4 to uncover real-time patterns and performance shifts. This helps you identify opportunities and address issues before they impact your pipeline.

Build AI-Powered Dashboards: Create dashboards that connect ad spend and engagement metrics directly to pipeline generation and revenue outcomes. This provides a clear view of your marketing ROI and helps justify future investments.

Harnessing AI While Maintaining Human Intelligence (empathy + creativity)

As mentioned, adopting AI doesn’t mean removing the human element. The most successful organizations will be those that blend AI-driven execution with human-led strategy.

Strategy Comes from Humans, AI Scales Execution: Your team’s expertise is irreplaceable. Use AI to automate tasks and scale your efforts, but let human insight guide the overall direction.

Clean Data is Foundational: AI is only as good as the data it’s fed. Poor CRM hygiene, inconsistent tracking, and inaccurate data will undermine the effectiveness of any AI tool.

Test Before You Expand: AI Max offers built-in experiments that allow you to run a 50/50 split test to validate its impact without duplicating your campaigns. Always test and validate before rolling out changes broadly.