The future of B2B marketing is not SEO; it's being the default recommendation when a user asks an AI agent for a solution. Software buyers will increasingly trust an agent's direct answer over traditional discovery channels, making it critical for vendors to win this new point of discovery.

The AI gold rush isn't just about foundation models. A new ecosystem of SaaS tools is emerging to manage AI, such as AEO (Answer Engine Optimization) software that helps businesses track their performance within AI models. These represent entirely new, fast-growing markets.

Following SEO, App Store Optimization, and social virality, the next major distribution channel is AI answer engines. Product teams must now strategize how to get their brand, features, and knowledge base indexed and surfaced in AI responses, making AEO a critical growth lever for the modern era.

Vendor selection is shifting from passive search rankings to active execution. An AI agent will choose the vendor tool it can successfully use to complete a task via direct API calls or browser automation. The ability for an agent to execute with your product is the new discovery moat.

The internet's primary user is shifting from humans to AI agents, creating a new "machine-to-machine" economy. This presents an opportunity to create agent-native versions of every major SaaS category, from payments and communication (like Notion or Slack) to memory and project management, built specifically for non-human customers.

The nascent AI agent ecosystem lacks effective discovery mechanisms for third-party tools ('skills'). This creates an opportunity for curated marketplaces that help users find, vet, and even pay for high-quality, trustworthy agent capabilities, solving a key bottleneck to adoption.

Contrary to the "SaaS-pocalypse" theory, AI agents will become a new, high-volume user base for SaaS tools. This will drive massive growth for companies that adapt their products to be usable by both humans and AI agents simultaneously.

The evolution of search won't stop with LLMs. The next stage involves autonomous AI agents that complete tasks like booking travel on a user's behalf. Marketers must shift their focus from answering human queries to ensuring their products and services are discoverable and selectable by these agents.

Drawing a parallel to the microservices boom, enterprises will soon deploy thousands of AI agents, creating immense operational complexity. The most valuable future products will be those that, like Datadog for microservices, provide governance, monitoring, and orchestration for this sprawling agentic workforce.