Choosing a marketing agency for an AI startup requires alignment on technical depth, data handling, and speed to impact. This guide delivers actionable steps to translate complex AI value into demand, pipelines, and measurable growth. Focus on capabilities that match your product stage, regulatory needs, and go-to-market goals.

• Define measurable goals: target ARR, qualified leads, pipeline velocity, content output.
• Map buyers and journeys: CTOs, data scientists, and product managers; tailor messages to each stage.
• Build a real RFP or short list: require AI case studies, technical content samples, and security answers.
• Evaluate for AI marketing depth: technical blogs, developer outreach, open source campaigns, partner programs.
• Institute a pilot with clear scope and milestones: 60-90 days, fixed metrics, go/no-go criteria.
• Align pricing to outcomes: performance-based retainer, staged milestones, or ROI-linked fees.
• Inspect team structure and cadence: dedicated PM, growth strategist, content writers, designers; weekly updates.
• Access to data and tools: dashboards, data sharing agreements, CRM, analytics, and API access.
• Check references and risk controls: security posture, NDA, IP ownership, contingency plans.

• Hiring for brand awareness only; misaligned with product-led AI needs.
• Vague goals and vanity metrics; no milestones or baselines.
• Underinvesting in a pilot; scope creep or missed deadlines.
• Ignoring data security and IP rights; no contracts for ownership or access.
• Choosing on reputation, not fit; no collaboration with product and engineering.
• No internal sponsor or clear decision rights; slow approvals.
• Overloading with generic content; no AI-focused assets or developers content.

• Ask for 3 AI-focused campaigns with outcomes and the playbooks used.
• Run a 90-day pilot with clear success criteria: leads, conversion rates, produced assets.
• Demand transparent pricing; request a breakdown by tactic and a ROI model.
• Secure IP ownership and data handling terms in writing; require data usage limits and renewal terms.
• Mandate security checks: SOC 2, GDPR readiness, data segregation, encryption at rest.
• Prioritize technical content: explainers, case studies with metrics, developer guides.