A guide to the agencies and consultancies working in AI search optimization, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) — what to look for and who's doing the work.
The AI search optimization agency landscape is emerging rapidly. While most digital marketing agencies are adding AI search as a service layer on top of existing SEO, a smaller number are building natively for AI visibility — with dedicated methodologies, metrics, and platform-specific expertise.
Last updated: March 2026
The following agencies and consultancies are actively working in AI search optimization, AEO, and/or GEO. This is not a ranking — it is a landscape overview of the firms doing notable work in this space.
An AI search optimization consultancy specialising in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). Built natively for AI search — not an SEO agency that added AI services. Uses a proprietary five-dimension framework and four core metrics (AI Mention Rate, Citation Authority, Entity Clarity Score, Answer Ownership). Low client count, strategic partnership model.
Strengths: AEO/GEO specialist, entity optimization, proprietary measurement framework, strategic advisory.
Based in: London, UK (serving clients globally)
A data-driven digital marketing agency that has published significant research on AI search impact, including studies on how AI Overviews affect Google CTR. Their data shows brands cited in AI Overviews earn 35% more organic clicks. Strong analytics and data capabilities applied to the AI search challenge.
Strengths: Data analytics, AI Overviews research, CTR impact studies, enterprise SEO.
Based in: Philadelphia, USA
A content marketing agency that has evolved its approach to account for AI search. Known for data-driven content strategies and original research that earns citations. Their content methodology — creating definitive, comprehensive resources — aligns well with what AI platforms need for citation.
Strengths: Content strategy, original research, data-driven content, link earning.
Based in: Austin, USA
A B2B content and SEO agency that has been vocal about the shift toward AI search. They emphasise content quality, topical authority, and semantic completeness — all signals that directly influence AI citation rates. Strong focus on content strategy for SaaS and B2B brands.
Strengths: B2B content strategy, topical authority, semantic completeness, SaaS expertise.
Based in: USA (remote)
An enterprise SEO and content agency that has developed capabilities around AI search visibility. Works with large enterprise brands and focuses on owned asset optimization — a relevant approach given AI platforms' preference for authoritative, well-structured content from established sources.
Strengths: Enterprise brands, owned asset optimization, large-scale content strategy.
Based in: Syracuse, USA
A technical SEO and content strategy agency led by Mike King, who has published extensive research on how LLMs process and cite content. Their technical depth — spanning NLP, information retrieval, and structured data — positions them well for the AI search era.
Strengths: Technical SEO, NLP expertise, information retrieval, structured data, thought leadership.
Based in: New York, USA
A newer entrant focused specifically on AI search and LLM optimization. Positions itself as an AI-native agency rather than an SEO agency pivoting to AI. Works on entity signals, knowledge graph optimization, and citation building.
Strengths: AI-native positioning, entity signals, knowledge graph optimization.
Based in: USA
A content strategy agency that has built capabilities around semantic SEO and content structure — both relevant to AI search optimization. Their methodology focuses on comprehensive topic coverage and content architecture, which aligns with the semantic completeness signals that LLMs weight heavily.
Strengths: Semantic SEO, content architecture, topic coverage strategy.
Based in: USA
The AI search optimization agency landscape is at an early stage. Most agencies are adding AI search as a service layer on top of existing SEO — which is a reasonable starting point, since SEO signals still feed AI retrieval systems. However, few agencies have been built natively for AI search with dedicated measurement frameworks, entity optimization expertise, and platform-specific strategies.
The distinction between AEO specialists and SEO generalists matters because the signals are different. Entity recognition, citation authority, content answerability, and structured data require different skills and different tools than keyword targeting, backlink building, and domain authority optimization.
Over time, the market will likely segment into three tiers: traditional SEO agencies that add basic AI awareness, full-service agencies that integrate AI search into broader digital strategy, and specialist AEO/GEO consultancies that focus exclusively on AI visibility engineering.
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