A traditional, human-focused homepage with videos and marketing copy is invisible to AI agents. To engage this new class of user, companies must create dedicated, agent-readable entry points (e.g., a '/agents' page) that provide structured docs, schemas, policies, and API endpoints. Without this, you don't exist in the agent economy.

Structure a web design service where clients submit requirements via an intake form to prompt an AI website builder. For revisions, have clients use a feedback form. An API can then feed these comments back to the AI to automatically generate updates, creating a hands-off, scalable business model.

A scalable business is to offer an "agent mystery shopper" service. This involves running automated tests to see if AI agents can complete critical user journeys (e.g., booking, buying) on a client's website and selling a recurring report that highlights failures and conversion risks.

Industries like law firms, insurance, and real estate are ideal first customers. They are eager to adopt AI to solve significant operational pain points but lack the in-house talent. This creates a strong market pull for an outsourced agent-building service. Avoid highly regulated fields like healthcare initially.

Firecrawl's job posting for an AI agent signals a future where companies fill roles (like content creation or support) with autonomous agents. This creates an opportunity for entrepreneurs to build and lease these specialized AI 'employees' to businesses as a service, shifting from tool provider to talent provider.

A massive opportunity exists for service-based startups that help traditional companies become AI-native. The winning strategy is to niche down by industry (e.g., dentistry), function (e.g., marketing), and company size to create replicable workflows.

The most profitable way to leverage AI tools without code is to package their output as a managed service. Instead of selling access to an AI, sell lead generation, process automation, or financial analysis on a monthly retainer, with the AI doing the heavy lifting behind the scenes.

A major new business model is creating pre-configured AI agents for specific industries (e.g., HVAC). Instead of selling a horizontal tool, agencies can provide a productized service, managing these 'AI employees' for clients at a high monthly retainer.

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.