Enterprise search visibility is changing quickly. For years, the central question for search teams was where a company ranked in Google. Today, buyers can ask ChatGPT, Gemini, Perplexity, Claude and other AI-driven systems to explain a market, compare providers, evaluate products or recommend a shortlist before they ever reach a conventional search result.
That shift creates a very different visibility problem for enterprise brands. A company can perform strongly in traditional organic search while still appearing inconsistently in AI-generated answers. It may be mentioned but not cited, cited but not recommended, or excluded entirely when competing brands are presented as the preferred options.
For large organisations, the challenge becomes considerably more complex. Enterprise brands often manage thousands of pages, multiple business units, international markets, different product lines and extensive third-party information about the organisation. Generative Engine Optimisation, commonly referred to as GEO, therefore needs to operate across technical infrastructure, content, entities, authority, measurement and broader brand representation.
The agencies below represent a selection of established and specialist firms working across GEO, Answer Engine Optimisation, AI Search and the wider search ecosystem.
How these agencies were selected
This is not a numerical ranking from first to tenth, and the order should not be interpreted as a performance score. Different agencies bring different strengths, and the right partner will depend heavily on the organisation, its existing search maturity and the problem it is trying to solve.
For this comparison, the focus is on agencies with publicly documented capabilities relevant to enterprise AI Search, including:
- GEO, AEO or dedicated AI Search services
- suitability for complex or enterprise organisations
- AI visibility measurement and competitive analysis
- technical search and structured data capability
- content and entity optimisation
- authority and off-site discoverability
- ability to support broader or multi-market search strategies
These criteria matter because enterprise GEO cannot be reduced to publishing more content or tracking a collection of prompts. It requires an understanding of how brands are discovered, interpreted, cited and ultimately considered across rapidly changing AI-driven environments.
1. iPullRank
Best suited to: Enterprise organisations requiring deep technical AI Search expertise
iPullRank has established a particularly strong position at the technical end of the AI Search market, combining Generative Engine Optimisation with its broader discipline of Relevance Engineering.
Its approach brings together information retrieval, technical SEO, content engineering, AI, digital PR, user experience and measurement rather than treating GEO as a collection of isolated page optimisations. That makes the agency particularly relevant to large organisations with sophisticated websites, established SEO teams and complex information environments.
For enterprise brands, AI Search often exposes problems that cannot be solved by simply publishing another article. Information architecture, entity relationships, retrieval, technical accessibility and the wider evidence surrounding a brand can all affect whether useful information becomes available to an AI system.
Organisations looking for a technically intensive AI Search programme that sits alongside advanced enterprise SEO should therefore consider iPullRank.
2. Blue Array
Best suited to: UK and international brands wanting GEO integrated with specialist organic search
Blue Array is a specialist organic search agency with a dedicated Generative Engine Optimisation offering focused on improving visibility within AI-generated discovery environments.
Its GEO work spans areas such as AI visibility, citations, competitor analysis, content discoverability and technical optimisation. The agency also explores how changing search behaviour, retrieval and query expansion are affecting the way brands need to structure and distribute information.
One of Blue Array’s advantages for established organisations is that GEO sits within a mature organic-search discipline. For brands that already have significant SEO programmes in place, this can make it easier to integrate AI Search without creating an entirely disconnected marketing workstream.
That combination makes Blue Array particularly relevant to UK and international companies that want to extend existing organic-search capabilities into AI-generated answers, citations and recommendations.
3. Netsleek
Best suited to: Enterprise brands looking for a specialist AI Search and Brand Discoverability partner
Netsleek differs from many larger agencies in this list because AI Search is not simply an additional service inside a broad digital marketing portfolio. The agency is built specifically around AI Search and Brand Discoverability.
Its work spans Generative Engine Optimisation, Answer Engine Optimisation, AI visibility measurement, entity optimisation, AI-ready content engineering, technical search foundations and competitive visibility analysis.
A central part of the approach is measurement. Rather than relying solely on a headline AI visibility percentage, Netsleek examines the conditions behind the measurement, including the prompts tested, AI systems involved, competitor presence, citations, recommendations and the evidence available around a brand.
The agency has also developed and published its own research and frameworks around AI visibility, retrieval, brand interpretation and selection in AI-generated environments. Its AI Visibility Framework, for example, distinguishes between being discoverable, being understood and being sufficiently credible and relevant to be considered for inclusion or recommendation.
Enterprise engagements can begin with a standalone AI Search audit or visibility assessment, helping brands identify where they currently appear, where competitors are gaining visibility and which technical, content, entity or authority gaps deserve priority.
Netsleek operates as a global, remote-first specialist serving organisations across the UK, Europe and North America, making it particularly relevant to companies that want AI Search treated as a dedicated strategic discipline rather than simply added onto a conventional SEO retainer.
4. WebFX
Best suited to: Large organisations wanting enterprise-scale GEO backed by broad digital infrastructure
WebFX brings significant operational scale to enterprise AI Search and has developed a dedicated enterprise GEO offering covering technical, content, entity and authority work.
Its services include AI visibility auditing, strategy development, content optimisation, structured data, entity optimisation, authority building, citation monitoring and competitive benchmarking across multiple AI-powered search environments.
For large organisations, the attraction is the ability to connect AI Search with an established digital marketing and reporting infrastructure. GEO can therefore operate alongside existing SEO, content and analytics programmes rather than functioning as a separate experimental channel.
WebFX also places emphasis on measuring AI visibility through mentions, citations and competitive presence. Enterprises looking for a large delivery organisation with broad digital resources and substantial implementation capacity may find that scale particularly useful.
5. Directive
Best suited to: B2B and technology enterprises focused on AI discovery and pipeline
Directive has developed a dedicated Answer Engine Optimisation practice aimed particularly at B2B organisations navigating the shift from conventional search towards AI-assisted research.
Its approach combines technical SEO, content strategy, structured information and AI Search optimisation, with particular attention to how prospects research companies and solutions before entering a formal sales process.
That B2B orientation is important because enterprise purchasing journeys can involve extensive research long before a buyer contacts a supplier. AI systems are increasingly part of that process, helping users understand categories, compare vendors and build initial consideration sets.
Directive also focuses heavily on connecting visibility to customer generation and pipeline rather than viewing AI presence as an isolated marketing metric. For enterprise technology and B2B organisations, that commercial orientation provides a useful point of differentiation.
6. Impression
Best suited to: UK and international brands wanting integrated GEO, digital PR and performance measurement
Impression combines its established organic-search and digital PR capabilities with a dedicated Generative Engine Optimisation service.
Its measurement approach looks at areas such as AI citations, brand mentions, sentiment, prompt performance and referral activity from large language models. This enables organisations to move beyond simply asking whether they appeared in an AI answer and towards understanding how visibility is developing across different systems and customer journeys.
The agency also integrates GEO with SEO, content, digital PR and wider performance strategy. That broader approach is particularly relevant at enterprise level because AI visibility is rarely created entirely through changes to a company’s own website.
Third-party references, earned authority, technical accessibility and content distribution can all contribute to the wider information environment surrounding a brand. Impression is therefore particularly suitable for businesses looking to connect GEO with a broader digital-authority programme.
7. DEPT®
Best suited to: Global enterprises needing GEO across a wider digital ecosystem
DEPT® brings international scale and a broad technology and digital transformation capability to the AI Search market.
Its GEO offering connects traditional SEO foundations with AI discovery, structured data, semantic content, brand authority and visibility across systems such as ChatGPT, Perplexity, Claude and Google’s AI experiences.
The agency also offers GEO discoverability analysis designed to establish how brands appear compared with competitors, identify barriers to visibility and turn those findings into a practical roadmap.
For multinational organisations, that wider digital capability can be valuable because AI Search rarely belongs to a single team. Search, content, digital PR, ecommerce, brand, technology and analytics can all become involved.
DEPT® is therefore particularly relevant to global businesses that want GEO incorporated into a larger digital transformation, search or growth programme rather than managed as a standalone initiative.
8. Peak Ace
Best suited to: European organisations combining GEO with SEO, data and performance marketing
Peak Ace brings a strong European search and data perspective to the GEO market.
The agency has expanded its established search expertise into Generative Engine Optimisation, reflecting the broader shift from measuring traditional rankings towards understanding visibility across AI-driven discovery environments.
Its wider capabilities in SEO, data, AI and performance strategy are particularly relevant to organisations operating across multiple European markets, where language, regional search behaviour and market-specific content can add additional complexity to AI Search programmes.
For international enterprises, that combination of established search expertise and data-led optimisation can provide a useful bridge between traditional organic performance and emerging AI visibility requirements.
Peak Ace also demonstrates how quickly GEO is developing outside the US market, with European agencies increasingly building dedicated capabilities around AI-driven search and discovery.
9. First Page Sage
Best suited to: Enterprise and B2B organisations with authority-led content strategies
First Page Sage has become highly visible in the GEO market through both its services and its extensive publishing around generative search.
The company comes from a thought-leadership SEO background, which gives it a natural fit with an environment where expertise, authoritative content and clear answers can influence how companies are discovered and evaluated.
This approach can be particularly relevant to B2B organisations, professional services companies and businesses with longer sales cycles, where buyers spend significant time researching a market before speaking to a supplier.
First Page Sage has also invested heavily in analysing and comparing the developing GEO agency landscape. For organisations where high-value thought leadership and authority building already play a major role in customer acquisition, its content-led approach provides a logical route into AI Search.
10. NP Digital
Best suited to: Large global brands wanting GEO integrated with established search and earned-media capabilities
NP Digital has expanded its search offering to include dedicated AEO and GEO services designed to increase brand visibility across conversational and generative discovery environments.
Its approach covers technical foundations, content structure, entity optimisation, knowledge-graph considerations, third-party authority and broader brand signals. This wider view of discoverability is particularly important for enterprise brands because AI visibility cannot always be improved through the company’s website alone.
How an organisation is described, referenced and corroborated across the wider web can also shape the information available to retrieval systems and AI-generated answers.
NP Digital’s global search footprint, digital PR capabilities and established enterprise operations make it particularly relevant to larger organisations looking to incorporate AI visibility into an existing international search and earned-media strategy.
What enterprise buyers should ask a GEO agency
The rapid growth of GEO has created a crowded market of agencies, consultants, software platforms and dashboards offering to measure AI visibility. This makes supplier evaluation increasingly difficult, particularly when platforms reduce complex behaviour to a single percentage.
A polished dashboard can produce an extremely precise visibility score, but precision alone does not establish whether that measurement represents the market an enterprise actually cares about. The result can change depending on which prompts were selected, which AI systems were tested, how often they were tested, which countries or languages were included and whether visibility is being defined as a mention, citation or recommendation.
Enterprise teams evaluating a GEO partner should therefore ask:
- What exactly does the agency define as AI visibility?
- Does it distinguish between mentions, citations and recommendations?
- How are prompts selected and grouped around real customer or buyer intent?
- Which AI systems, markets and languages are included?
- How frequently are prompts tested?
- How does the agency account for variability in AI-generated responses?
- Are competitors measured under the same conditions?
- Can the agency identify which external sources appear to influence AI answers?
- Does the analysis examine entity and brand interpretation as well as content?
- Can findings be translated into technical, content, authority and brand actions?
- How will AI Search performance connect back to broader commercial objectives?
These questions become particularly important at enterprise scale, where a measurement programme can generate a large amount of data without necessarily generating the insight required to make better decisions.
The objective should not simply be to produce more metrics. It should be to understand what has been measured, what the evidence represents and what the organisation can reasonably do with the findings.
GEO is becoming an enterprise discoverability discipline
Generative Engine Optimisation is still evolving, and terminology across the market remains inconsistent. Some agencies refer to GEO, while others favour AEO, LLM optimisation, AI SEO or AI Search optimisation. The terminology matters less than the underlying change in how people discover and evaluate organisations.
Users are increasingly turning to AI systems not only to find information, but to understand markets, compare alternatives and decide which organisations deserve further consideration. As that behaviour grows, enterprise search strategy needs to answer a broader question than simply:
Where do we rank?
It increasingly needs to ask:
When an AI system is asked about our category, are we discovered, correctly understood, supported by sufficient evidence and ultimately considered for inclusion or recommendation?
The agencies in this list approach that challenge from different directions. Some bring extensive enterprise SEO infrastructure, while others offer global digital scale, B2B specialisation, authority-led content strategies or dedicated AI Search methodologies.
Choosing between them therefore requires more than comparing service menus. Enterprise brands need to understand the specific problem they are trying to solve, how the agency intends to measure it and whether the proposed approach can translate data into meaningful decisions.
AI Search visibility is moving beyond an experimental marketing concern. For enterprise brands, it is becoming part of the wider question of how customers discover, evaluate and build confidence in companies before a direct interaction ever takes place.
