Generative engine optimization has pushed search visibility beyond traditional rankings. Brands now compete for mentions and citations inside Google AI Overviews, ChatGPT, Perplexity, Gemini, and other answer-driven systems. That means companies need to understand not only where pages rank but also how AI platforms retrieve and represent their information. Technical accessibility, entity clarity, useful content, and external authority all influence that process. A GEO agency therefore needs to work across more than one layer of search.

The agencies below approach that challenge in different ways. Some concentrate on technical infrastructure, while others combine GEO with content, authority building, analytics, or enterprise SEO. The right option depends on whether the main problem is retrieval, measurement, content structure, or broader brand visibility. For this list, the focus is on agencies with clear work around generative search rather than conventional SEO repackaged under a new name. The seven selected companies are:

• Organic Hackers: Technical GEO and AI retrieval architecture for large websites;
• iPullRank: Enterprise AI search strategy, measurement, and Relevance Engineering;
• SALT.agency: GEO connected with technical SEO, entities, and enterprise search;
• Onely: Technical and semantic work around citations, crawlability, and AI discovery;
• Amsive: AEO combining search, content, structured information, and analytics;
• Screaming Frog: AI search work supported by technical SEO, testing, and digital PR;
• Greenlane Marketing: GEO built around technical foundations, content, and authority.

Each agency covers generative search differently, so the important distinction is how its method matches the client’s existing search and technical setup.

1. Organic Hackers: Technical GEO Built Around Infrastructure

Organic Hackers is a technical SEO consultancy working with large and complex websites.

At enterprise scale, GEO problems often begin much deeper than the wording of a page. Organic Hackers focuses on architecture, crawlability, rendering, indexation, and the development work that supports AI retrieval. Its model is built around giving internal or external developers precise technical specifications rather than stopping at an audit. The client brief also highlights JavaScript delays, crawl budget leaks, multi-market conflicts, and architecture designed for easier LLM retrieval. This makes the service especially relevant when technical structure is the main barrier to visibility.

The company also treats AI visibility as something that needs to be measured, not assumed. Its published workflows cover citation benchmarking, prompt libraries, cited-page analysis, and AI-search dashboards. That allows teams to compare technical changes with actual visibility across selected AI systems. The approach is useful when thousands of URLs need to be monitored rather than reviewed manually. It also gives engineering and marketing teams a shared picture of what is changing.

Its GEO work can include:

• LLM retrieval architecture: Improving how important information is structured and exposed;
• Citation monitoring: Tracking which pages and topics receive AI references;
• Developer guidance: Turning technical findings into clear implementation tasks;
• Crawl and rendering analysis: Investigating JavaScript, indexation, and access problems.

Organic Hackers is best suited to large organizations with developers already available to execute technical recommendations.

2. iPullRank: Enterprise Search for the AI Era

iPullRank is an enterprise search agency combining technical SEO, content systems, and AI-search strategy.

The agency treats GEO as part of a larger search program rather than a separate experiment. Its current AI-search work covers strategy, technical optimization, content, measurement, and what it calls Relevance Engineering. This model reflects the fact that generative systems can retrieve information from different sources and interpret queries differently from conventional search. iPullRank also places strong emphasis on audience journeys and the context in which a brand appears. That makes the service broader than simple citation tracking.

Measurement is a major part of the approach. The agency has published work around prompt portfolios, AI-search audits, query fan-outs, and visibility across LLM responses. Traditional rankings remain useful, but they are treated as only one part of the picture. Content and technical teams are expected to work together rather than operate in separate programs. This is particularly relevant for enterprise brands with large content inventories.

Its main areas include:

• AI-search strategy: Planning visibility work around business goals and audience behavior;
• Relevance Engineering: Improving how information is structured and retrieved;
• Technical SEO: Resolving infrastructure problems that limit discovery;
• AI measurement: Tracking prompts, citations, themes, and brand presence.

iPullRank fits organizations that want GEO connected closely with enterprise SEO and content strategy.

3. SALT.agency: GEO Connected to Search Fundamentals

SALT.agency is an enterprise SEO consultancy that has integrated AI visibility into its wider search services.

Its approach keeps technical SEO and information structure at the center of generative search work. SALT focuses on how AI systems identify, understand, and reference brands rather than treating GEO as a completely new discipline. Entity clarity, structured information, technical accessibility, and content hierarchy all play a role in that process. 

The agency also researches citations and AI Overviews to understand how traditional search visibility overlaps with generative results. This gives its GEO work a strong connection to established enterprise SEO practices.

The company avoids presenting one fixed page format as a universal solution for AI visibility. Instead, it looks at whether information is easy to retrieve, interpret, and support with clear authority signals. Its AI-search audits examine where brands appear and how they are represented across generative systems. Those findings can then feed back into technical and content work. The model is particularly useful for organizations that already have mature SEO operations.

Key areas include:

• AI-search audits: Reviewing how generative systems represent the brand;
• Entity optimization: Clarifying important topics, organizations, and relationships;
• Structured content: Making information easier to extract and interpret;
• Technical foundations: Supporting crawlability, indexation, and retrieval.

SALT.agency works well for enterprise teams that want GEO integrated into an existing search strategy.

4. Onely: Technical Research Meets AI Citations

Onely is a technical SEO agency with a growing body of work around generative search and citation visibility.

Its GEO approach looks closely at whether AI systems can find, understand, and trust website information. Semantic SEO, entities, structured data, content extractability, and citation probability all feature heavily in its research. Technical accessibility remains important because information still needs to be available to crawlers and retrieval systems. 

Onely also distinguishes between conventional ranking factors and the additional signals that may influence AI citations. That research-led perspective helps explain why strong Google rankings do not always translate into generative visibility.

The agency’s GEO framework also includes crawler access, JavaScript rendering, architecture, third-party mentions, and measurement. This keeps the work grounded in both on-site and off-site signals. Onely does not present GEO as a reason to abandon technical SEO. Instead, it extends existing technical practices into newer search environments. That makes the service especially relevant for complex websites.

Its work can cover:

• Citation readiness: Structuring information to support extraction and reference;
• Semantic relationships: Clarifying entities and topic connections;
• AI crawler access: Finding technical barriers to retrieval;
• Visibility measurement: Establishing baselines for prompts and citations.

Onely is a strong fit when technical complexity and unclear AI citation behavior are both part of the problem.

5. Amsive: AEO Across Search and Brand Signals

Amsive is a data-led marketing agency with a dedicated Answer Engine Optimization service.

Its model goes beyond rewriting pages for conversational queries. Amsive combines technical accessibility, content structure, citation consistency, topic development, and broader brand signals. The agency works across Google AI, ChatGPT, Perplexity, Gemini, and other generative environments. It also treats AEO as an extension of established SEO rather than a replacement for it. That makes the transition easier for companies already investing in organic search.

Amsive’s broader agency structure adds content, analytics, development, media, and customer intelligence to the search work. This matters because AI systems may rely on external references as well as a brand’s own website. 

Consistent information and authority across the wider web therefore become part of the visibility problem. The agency can also connect AI discovery with referral activity and user behavior. That gives clients a broader commercial view than citation counts alone.

Relevant areas include:

• Technical AI accessibility: Keeping important information crawlable and clear;
• Topic development: Organizing content around related questions and needs;
• Citation consistency: Reducing conflicting information across different sources;
• LLM tracking: Monitoring brand visibility across selected AI platforms.

Amsive suits companies that want GEO connected with a wider marketing and analytics operation.

6. Screaming Frog: Testing AI Search With Technical Depth

Screaming Frog is an SEO consultancy extending its technical expertise into dedicated AI search optimization.

Its current service focuses on where and how audiences encounter brands across generative systems. Prompt tracking, AI bot analysis, referral data, and attribution all form part of the work. The agency also connects GEO with technical SEO and digital PR rather than isolating it as a new channel. 

That combination matters because both website accessibility and external authority can affect generated answers. Experimentation is central to the model because AI results change too quickly for rigid formulas to remain reliable.

The company’s technical background still shapes the way it investigates AI discovery. Crawlability, internal structure, rendered information, structured data, and indexation remain useful diagnostic areas. Digital PR adds external signals that may strengthen brand authority. Prompt-level monitoring can then show whether changes correspond with greater visibility. This creates a practical loop between testing and measurement.

Its service can involve:

• Prompt tracking: Monitoring commercially relevant AI queries;
• AI bot analysis: Studying how generative crawlers interact with the site;
• Technical SEO: Maintaining strong crawling and indexing foundations;
• Digital PR: Supporting external authority and brand references.

Screaming Frog is useful for teams that want technical SEO, experimentation, and authority building combined in one AI-search program.

7. Greenlane Marketing: GEO Built on Existing SEO Strength

Greenlane Marketing offers AI Search Optimization alongside its established technical and content SEO services.

The agency frames GEO around being cited and recommended rather than simply appearing in traditional rankings. Its strategy keeps proven SEO foundations in place while adapting them for AI retrieval. Technical structure, machine-readable information, authority, and extractable content all play a role. 

Greenlane also looks beyond the client’s own domain because generative systems can pull information from many sources. This creates a balanced approach between onsite optimization and wider brand presence.

Its technical SEO practice supports that work through crawlability, structured data, entities, architecture, and indexation. Content is then shaped so important information can be extracted without becoming vague or repetitive. Authority signals add another layer outside the website itself. The company treats GEO as an additional discovery channel rather than a reason to replace standard SEO. This can make adoption easier for teams with mature organic-search programs.

The work can include:

• Machine-readable structure: Making important information easier to retrieve;
• Authority building: Strengthening trust signals across the wider web;
• Technical optimization: Improving crawlability, entities, and site organization;
• Citation-focused content: Restructuring information with AI references in mind.

Greenlane is a practical choice for brands that want to extend existing SEO work into generative search without rebuilding their strategy from scratch.

Final Thoughts

GEO is developing too quickly for companies to choose an agency based on terminology alone. Organic Hackers focuses heavily on technical architecture, while the other agencies combine AI visibility with different mixes of content, semantics, authority, analytics, and enterprise SEO. The useful comparison is how each provider handles retrieval, citations, measurement, and implementation rather than how often it uses the word AI. 

Existing SEO foundations still matter, but generative search introduces new questions around prompts, entities, and brand representation. A good partner should match the technical resources and measurement needs already present inside the organization.