iPullRank·Jul 16, 2026
Good to Know
How We Reorganized our Agency Around AI Search
Key Takeaways
- iPullRank restructured its entire agency around AI Search readiness levels rather than traditional service tiers, recognizing that AI Search requires different inputs than traditional SEO (entity recognition, third-party validation, full-answer content, AI crawler access).
- The agency introduced six core practices: Strategic Planning (keyword portfolios and roadmaps scaled by stage), Content Engineering (relevance audits and optimization briefs), Solutions Engineering (AI-specific technical audits covering crawler access and passage performance), Conversation Engineering (coordinated link building and PR for brand validation), Creative (human and AI-assisted content production), and Measurement Engineering (tracking AI visibility separately from traditional SEO metrics).
- Each stage has distinct deliverables: Emerging focuses on baseline establishment and high-impact fixes; Growth adds competitive analysis and 6–12 month roadmaps; Elite includes 5,000+ keyword portfolios, full ecosystem audits, and executive revenue forecasts.
- The agency explicitly positions AI Search as a different problem than traditional SEO, requiring program-level response rather than incremental optimization, and warns that wrong strategy is the most expensive mistake organizations can make right now.
Why it matters: This signals how established agencies are operationalizing AI Search work and what clients should expect to invest in. The tiered model and specific deliverables (relevance audits, passage-level competitive analysis, AI crawler access reviews) provide a concrete reference for what a mature AI Search program looks like and where most organizations are likely to have gaps. For practitioners, it clarifies that AI Search requires separate measurement, technical audits, and content strategies—not just traditional SEO applied to new platforms.
AI Search StrategyAgency ServicesContent EngineeringTechnical SEOMeasurement