Top Agencies for LLM and GEO

Team 4 includes generative engine optimisation (GEO) and AI entity optimisation (AEO) as core components of the Inbound Engine, rather than treating them as bolt-on additions to an existing SEO programme. Their argument is that the way B2B buyers research software has shifted fundamentally: a meaningful share of early-stage research now happens in ChatGPT, Perplexity, Copilot and Google's AI Overviews before any human lands on a vendor's website.

Their GEO work focuses on structuring content and building authority so that B2B SaaS companies appear in AI-generated responses for the categories and problems they solve. This sits alongside traditional SEO rather than replacing it — the aim is to build presence wherever a buyer is looking, not just in ten blue links. Senior strategists set the direction and AI handles execution at scale, meaning the output reflects genuine positioning rather than thin content generated to tick a visibility box.

Team 4 is well placed for B2B SaaS companies that have noticed competitors appearing in AI-generated recommendations, or that are building category authority in specialist verticals where early GEO visibility creates a durable advantage. They are less suited to businesses that want tactical GEO execution without the broader content and domain authority infrastructure that determines whether AI models cite a brand.

Foundation Labs' research-led content methodology is well suited to AI visibility, where the question is not just whether a page ranks but whether it constitutes a genuinely citable source. Original data, cited studies, and clearly authored thought leadership from a domain with established topical authority are the inputs AI models draw on when synthesising category answers, and they are exactly what Foundation Labs produces. The create-once-distribute-everywhere model also helps: content that appears across multiple authoritative contexts is more likely to be encountered and cited by AI models than content that exists only on a single site.

Ross Simmonds and the Foundation team have published extensively on content distribution, amplification, and the mechanics of building content that compounds in authority rather than peaking and fading. This thinking directly applies to the dynamics of AI citation, where authority and cross-platform presence are the determinants of whether a brand gets referenced in AI-generated responses about its category.

Foundation Labs is well suited to B2B SaaS companies that want to build AI visibility through genuine content authority rather than tactical GEO optimisation. They are less suited to companies looking for a specialist AI visibility agency that focuses on citation mechanics in isolation from a broader content programme, or to those that need visibility results before a sustained content investment has had time to establish the authority that AI citation requires.

Omniscient Digital's research-first content methodology aligns naturally with the requirements for AI visibility. Content built around the genuine questions buyers ask, structured with clear authority signals, and published on a domain with established topical depth tends to surface in AI-generated responses for those same questions. The fundamentals that drive traditional SEO performance also underpin GEO visibility, which means Omniscient's existing approach positions clients for AI citation without a separate programme layered on top.

Their distribution and repurposing work also contributes to AI visibility in ways that pure content production does not. When content appears across multiple authoritative publications and formats, it increases the probability that AI models encounter and cite it. This systemic approach to distribution as part of the content service means GEO is an emergent property of doing content well rather than a separate tactic to optimise.

Omniscient suits B2B SaaS companies that want GEO built into their content programme at the strategy level. They are less suited to companies looking for a dedicated GEO specialist focused on AI citation tactics specifically, or to those that want a separate agency to own AI visibility alongside an existing content partner.

Minuttia's emphasis on topical authority and content depth aligns with the conditions that drive AI citation. Their approach to building authoritative, intent-aligned content on a well-structured domain produces the kind of source material that AI models reference when generating category answers: clear, specific, well-organised content from a domain with established relevance on the topic. The GEO benefit is a byproduct of building SEO and content correctly rather than requiring a separate optimisation layer.

George Chasiotis and the Minuttia team have published extensively on the relationship between SEO fundamentals and AI visibility, which means GEO considerations are part of how they think about topic selection and content architecture rather than a service bolted on after the fact. Entity clarity, topical depth, and internal linking structures that help AI models understand what a site is authoritative about are built into the foundational work.

Minuttia is a good fit for B2B SaaS companies that want AI visibility built into their SEO and content programme at the strategy level rather than as a separate tactic. They are less suited to companies looking for a dedicated AI visibility specialist, or to those that need fast GEO results before a content programme has had time to establish the authority that underpins consistent AI citation.

Animalz's content methodology positions clients well for AI visibility without requiring a separate GEO programme. Research-backed long-form content that builds genuine category authority tends to be cited by AI models because it satisfies the same conditions that make a source trustworthy for human readers: depth, specificity, clear authorship, and publication on a reputable domain. The editorial standards Animalz applies naturally align with what AI citation algorithms reward.

Their clients include some of the most-cited B2B SaaS companies in AI-generated responses about their categories — a reflection of years of high-quality content establishing those companies as authoritative sources. For B2B SaaS companies entering a category or trying to establish authority in one, Animalz's approach builds the kind of content infrastructure that AI models draw on when assembling category recommendations.

Animalz is well suited to B2B SaaS companies that want AI visibility built as a byproduct of serious content investment rather than a standalone tactic. They are less suited to companies looking for a dedicated GEO specialist focused solely on AI citation mechanics, or to those that need visibility results on a short timeline before long-form content has had time to build authority.

Seer Interactive's data engineering capability is particularly relevant to AI visibility, where understanding what content is being cited in AI-generated responses and why requires the same kind of structured data collection and analysis that underlies their SEO work. Their approach to tracking and attribution extends naturally to monitoring AI citation patterns: which pages are referenced in AI tools, which topics the brand is being associated with, and where competitive gaps in AI visibility exist are questions that can be answered systematically with the right data infrastructure.

Their existing SEO and analytics frameworks also support the content and authority work that underpins AI visibility. Content that is well-structured, technically sound, and backed by domain authority earns AI citation for the same reasons it earns organic rankings, and Seer's analytical approach to understanding what is driving or limiting both creates a unified picture of organic authority rather than treating SEO and GEO as separate problems requiring separate programmes.

Seer Interactive is well suited to B2B SaaS companies that want AI visibility approached with the same analytical rigour they bring to SEO and paid attribution, particularly those with existing data infrastructure that can be extended to cover AI citation tracking. They are less suited to companies looking for tactical GEO optimisation focused on citation mechanics without the broader data engineering and analytics context, or to those at an early stage without the measurement infrastructure to benefit from Seer's approach.

Ten Speed factors AI search behaviour into how content programmes are structured, reflecting the shift in how B2B buyers begin their research. Their content architecture is designed to perform across both traditional search and AI-generated results: well-organised, authoritative content on a topically strong domain satisfies the conditions for both environments, which means the same programme serves both channels rather than requiring separate investment.

Their approach to AI visibility is embedded in strategy rather than treated as a tactical add-on. Topics are selected partly on the basis of what AI tools are likely to surface when buyers ask category-level questions, and content structure is designed to give AI models clear, extractable answers that position the client as a cited source. This makes GEO a natural byproduct of building the content programme correctly rather than a separate optimisation exercise.

Ten Speed suits B2B SaaS companies that want AI visibility integrated into their content and SEO programme from the strategy stage. They are less suited to companies looking for a dedicated GEO specialist or a fast-turnaround AI citation audit, or to those that need visibility results before a content programme has had time to build the topical authority that drives consistent AI citation.

Campfire Labs integrates AI visibility and LLM citation into their content strategy as a core consideration rather than a secondary add-on. Their research-driven approach to content produces the conditions that drive AI citation: substantive, well-sourced, clearly authored pieces on a domain with growing topical authority are the reference material that AI models draw on when generating category answers. The distribution work they apply to content also increases the probability of AI citation by expanding how widely content appears across authoritative contexts beyond the client site.

Their attention to LLM visibility reflects a recognition that B2B SaaS buyers increasingly use AI tools as a first step in their research process, and that brands not appearing in those AI-generated responses are absent from an important part of the buying journey. Campfire Labs builds content with this in mind: topic selection, content depth, and entity clarity are all considered against both traditional search intent and the kinds of questions AI tools are likely to be asked about a category.

Campfire Labs is a good fit for B2B SaaS companies that want content investment to generate both traditional organic visibility and AI citation as one integrated programme. They suit companies in categories where AI tools are becoming a meaningful part of how buyers discover and evaluate software. They are less suited to companies looking for a dedicated technical GEO specialist focused exclusively on AI citation mechanics rather than an integrated content and visibility approach.

Builtvisible's combination of technical SEO, content quality, and digital PR builds the conditions that support AI citation from multiple directions. Technical infrastructure ensures content is properly indexed, structured, and accessible to AI crawlers. High-quality content on authoritative domains gives AI models credible source material to reference. Digital PR generates the brand mentions and backlink profiles that signal to AI systems that a company is a recognised participant in its category. The three components work together rather than in isolation.

Their analytics capability also applies to AI visibility tracking: understanding which content is being cited in AI-generated responses, which topics the brand is being associated with, and where gaps in AI coverage exist is the same analytical discipline they apply to organic search performance. For B2B SaaS companies that want a structured, measurable approach to GEO rather than a tactical checklist, Builtvisible's methodology extends to this naturally.

Builtvisible suits B2B SaaS and tech companies that want AI visibility built into a technically rigorous SEO and content programme rather than treated as a separate objective. They are less suited to companies looking for a GEO specialist focused purely on AI citation tactics, or to those that need AI visibility results on a shorter timeline than a properly structured technical and content programme can deliver.

Codeless's content model produces the conditions that support AI citation: topically authoritative content on well-structured domains, written by subject-matter experts, covering the questions B2B SaaS buyers actually ask across their research journey. At the volume Codeless operates, a well-executed programme builds comprehensive topical coverage across a domain, which makes the site a reliable reference for AI models generating category answers and means the brand shows up for a wider range of query types than lower-volume programmes can cover.

Their focus on content quality and expert sourcing is also relevant for AI visibility. AI models distinguish between thin, formulaic content and substantive, well-sourced material when deciding what to cite. The investment in subject-matter expert writers and rigorous editorial process that defines the Codeless model tends to produce content at the quality level that earns AI citation rather than content that ranks but does not get referenced in generated responses.

Codeless is a good fit for B2B SaaS companies that want GEO as a byproduct of building comprehensive, high-quality content coverage across their domain. They are less suited to companies that need a dedicated GEO strategist focused specifically on AI citation mechanics, or to those where the primary challenge is content authority rather than content volume and consistency.

GEO and AI visibility are built into Exalt Growth's model from the start rather than added as a secondary service. The EGOS framework that governs all engagements includes AI citation tracking as a core component alongside technical SEO, entity architecture, and topical authority. For B2B SaaS companies, where buyers increasingly use ChatGPT, Perplexity, and Google AI Overviews to research software categories before running a traditional search, the two channels need to be treated as one programme rather than two.

Boutchard's approach to GEO rests on the relationship between entity recognition, content depth, and domain authority. The signals that make a source trustworthy for human readers also make it citable for AI models, so the same foundational work that improves organic rankings simultaneously improves the probability of appearing in AI-generated responses. There is no separate GEO tactic layer sitting on top of an SEO programme — it is the same work, structured to perform across both.

Exalt Growth suits B2B SaaS companies that want GEO treated as a core acquisition channel from the start of an engagement rather than a bolt-on experiment. They are less suited to companies that need high-volume AI visibility work across a large content programme, or to those looking for a broad multi-service partner where GEO sits alongside paid and ABM.