The awareness and problem-solving stages of the buyer's journey, which historically relied on website content and search, are being fundamentally altered. Buyers now use AI to get synthesized, "unbiased" information, bypassing vendor websites entirely for their initial research, thus removing key intent signals for marketing teams.
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Buyers now use AI to arrive with a full research dossier on your product, pricing, and competitors. This changes the GTM role from persuading customers with clever messaging to enabling their decision-making. The new focus is helping buyers quickly experience your product's value on their own terms.
Users arriving from AI platforms have already been filtered and nurtured through the consideration phase. They land on your site with high intent, leading to conversion rate increases of 2-5x for B2C and as high as 20x for B2B, far surpassing the performance of typical paid or organic search traffic.
AI-powered search results create a confusing analytics signal. Marketers may see search impressions increase significantly while simultaneously witnessing a sharp decline in click-through rates and website traffic, as users get answers directly on the search page.
As users delegate purchasing and research to AI agents, brands will lose control over the buyer's journey. Websites must be optimized for agent-to-agent communication, not just human interaction, as AI assistants will find, compare, and even purchase products autonomously.
The middle of the marketing funnel is compressing as AI provides answers directly on the search results page. This drastically reduces website clicks, forcing marketers to rethink traffic-based goals and find new ways to engage customers off-site.
AI is making buyer journeys non-linear and compressed. Instead of a linear funnel, GTM strategy must shift to a continuous, customer-centric "flywheel" model. Buyers conduct deep research upfront, making direct sales engagement optional for some and requiring an always-on, value-first approach.
Visitors arriving from AI-powered search tools like ChatGPT are highly qualified, having used detailed prompts to find a specific solution. This pre-qualification leads to significantly higher engagement and conversion rates—reportedly 7-8x higher than typical ads or organic search—making AI optimization a high-leverage activity.
Unlike Google, which primarily handles discovery, AI models engage users in a Q&A process that guides them through consideration. This means when a user clicks through from an AI search, they are highly qualified and ready to convert, explaining the significantly higher conversion rates seen from this traffic source.
Marketers focus on using AI as a new tool, but the more profound shift is that customers now use AI for research, comparison, and even RFP generation, fundamentally altering the buying journey before they ever interact with a brand.
The rise of AI agents means website traffic will increasingly be non-human. B2B marketers must rethink their playbooks to optimize for how AI models interpret and surface their content, a practice emerging as "AI Engine Optimization" (AEO), as agents become the primary researchers.
