
New York growth marketing agency naming answer engine optimization as a service, covering SaaS, fintech, healthcare, and consumer brands.
Industry: SaaS & software
SaaS buyers ask ChatGPT and Perplexity before they ask Google. These are the agencies doing generative engine optimization for software companies.
SaaS is the biggest category in generative engine optimization. Most buyers research software by asking an AI assistant, and the assistant answers with a short list of names. If your product is not on that list, your ranking in classic search does not matter.
The agencies below work on SaaS GEO. That means entity and schema fixes so models can identify what a product does, content built to be cited, and tracking that shows where a brand is mentioned across the main AI engines. Some are dedicated GEO shops. Others run GEO inside a wider SEO or content agency.

New York growth marketing agency naming answer engine optimization as a service, covering SaaS, fintech, healthcare, and consumer brands.

Cybersecurity marketing agency doing content strategy and creation for security vendors, with SEO and AI search optimisation alongside it.
B2B GEO and AEO agency focused on entity mapping, AI content optimisation, and structured data for software brands.

B2B GEO and AEO agency for SaaS and fintech, covering schema, citation engineering, and content structure for AI answers.
Content marketing agency offering GEO alongside SEO and digital PR across B2B and consumer categories.
Enterprise SEO and AI search agency, founded by Mike King, working on how AI models retrieve and cite brands.

Portland B2B SEO agency with a dedicated generative engine optimization service aimed at organic pipeline.

B2B software growth agency combining GEO with SEO strategy, content, and digital PR.

Punjab digital agency naming Generative Engine Optimization as a service, with offices in London, Los Angeles, and Australia.
Full-service digital marketing agency offering AEO and GEO across B2B, SaaS, and ecommerce.

B2B SaaS and fintech marketing agency offering generative engine optimization alongside technical SEO and content.

SEO and GEO agency for fintech and B2B SaaS startups, running fintech-specific AI visibility audits and compliance-aware content.

Minneapolis digital agency offering Generative Engine Optimization alongside development and performance marketing for B2B, B2C, and ecommerce.
Athens content and SEO agency specialising in B2B SaaS, with AEO and GEO aimed at AI Overviews and answer boxes.
Enterprise SEO and reputation agency working with Fortune 500 brands, extending its owned-asset approach to AI Overviews and generative search.
Australian digital agency offering GEO benchmarking, audits, and implementation for mid-size and enterprise B2B brands.
London SEO and GEO agency working with B2B, SaaS, and professional services companies on visibility in AI-generated answers.
San Francisco SEO agency naming both answer engine optimization and generative engine optimization as services across SaaS, finance, healthcare, and ecommerce.
Gdynia agency doing answer engine optimization for B2B SaaS, measured monthly with its own open-source CLI, in English, German, Polish, and Russian.
B2B AI-visibility agency focused on getting technology brands cited across ChatGPT, Gemini, Claude, and Perplexity.
SEO and GEO agency working on technical optimisation and digital PR for AI search visibility.
Sheffield digital marketing agency listing generative engine optimization and answer engine optimization as separate services.

New Delhi agency doing generative engine optimization only, on monthly retainers, with its pricing published openly.

London GEO agency offering a dedicated AI Search & GEO service for B2B, enterprise, and tech brands.
SaaS buying decisions often start with a question to an AI assistant. A product that is not clearly described in structured, citable content is easy for a model to miss or misrepresent. That matters more for software because the buying cycle is long and research-heavy.
Whether they have worked with software companies before, whether they explain their method in terms of entities and citations, and whether they can show which AI engines they track results in.
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