AI Search for Enterprise — £10k+/Month Programmes
Enterprise AI search programmes require different agency capabilities than mid-market engagements: multi-stakeholder reporting, compliance awareness, integration with existing martech stacks, and the ability to work within complex organisational structures. We evaluated 7 agencies with proven enterprise AI search credentials, from iPullRank's Fortune 500 Relevance Engineering to Conductor's enterprise platform approach.
Enterprise AI Search Agencies — Quick Comparison
| # | Agency | HQ | Best For | Pricing | Platforms | Rating |
|---|---|---|---|---|---|---|
| 1 | iPullRank | New York, NY | Fortune 500 and large enterprise needing AI search as an engineering discipline | From $10,000/mo | 5 | 9.4/10 |
| 2 | First Page Sage | San Francisco, CA | Enterprise B2B companies wanting the most established AEO methodology | From $5,000/mo (enterprise) | 4 | 9.2/10 |
| 3 | Directive Consulting | Irvine, CA | Enterprise B2B SaaS wanting AI search measured by pipeline and revenue | From $7,500/mo (enterprise) | 3 | 9/10 |
| 4 | Onely | Poland | Enterprise companies needing technical AI search monitoring across 5 platforms | Contact for quote | 5 | 8.8/10 |
| 5 | WebFX | Harrisburg, PA | Enterprise companies wanting AI search within a full-service digital programme at scale | From $5,000/mo (enterprise) | 3 | 8.5/10 |
| 6 | Conductor | New York, NY | Enterprise companies already using Conductor wanting to add AI search monitoring | Contact for quote | 3 | 8.2/10 |
| 7 | Seer Interactive | Philadelphia, PA | Enterprise companies wanting data-driven AI search from an established agency | From $7,500/mo | 3 | 8/10 |
Detailed Agency Reviews
iPullRank
Mike King's enterprise agency that pioneered the concept of Relevance Engineering — treating AI visibility as an engineering discipline with repeatable, measurable processes. Works with Fortune 500 companies on technical AI search infrastructure including entity mapping, knowledge graph optimisation, and RAG pipeline visibility. Their approach is built for complex organisations with multiple business units, legacy content systems, and enterprise compliance requirements.
Strengths
- Relevance Engineering methodology is industry-leading
- Fortune 500 client pedigree
- Covers 5 AI platforms — broadest enterprise coverage
- Technical depth suited to complex enterprise architectures
- Mike King is a recognised enterprise AI search authority
Limitations
- Minimum $10,000/month — not suited for mid-market
- New York enterprise focus
- Longer onboarding process for complex engagements
- May require dedicated internal resources to maximise value
First Page Sage
The agency that pioneered AEO in 2023, with 15+ years of B2B content marketing experience that translates into deep enterprise expertise. Their enterprise engagements focus on long-form thought leadership, executive positioning, and entity authority — the kind of structured, authoritative content that AI models consistently cite. Strong track record with enterprise professional services, B2B technology, and financial services firms.
Strengths
- Pioneered AEO — 15+ year content marketing track record
- Deep enterprise B2B expertise
- Named experts with published research
- 4.9/5.0 review score — highest client satisfaction
- Strong thought leadership and executive positioning
Limitations
- Content-focused — less technical infrastructure than iPullRank
- San Francisco base — may not suit all enterprise cultures
- Covers 4 platforms vs 5 for iPullRank
- Enterprise pricing starts at $5,000/month — lower tier exists
Directive Consulting
Pipeline-focused B2B agency whose Customer Generation methodology is specifically designed for enterprise SaaS companies with long sales cycles and complex buying committees. They measure AI search success by pipeline contribution and revenue, not vanity metrics — a critical distinction for enterprise CFOs and CMOs who need to justify AI search investment. Strong integration between AI search, paid media, and ABM programmes.
Strengths
- Pipeline-focused methodology — speaks the language of enterprise CMOs
- Deep enterprise SaaS expertise
- Integration with ABM and paid programmes
- Multiple US offices with dedicated enterprise teams
- Customer Generation framework is well-documented
Limitations
- SaaS-heavy — less suited for non-SaaS enterprise
- Covers 3 AI platforms vs 5 for iPullRank
- Irvine, CA base — less enterprise cachet than NYC
- Pipeline attribution requires CRM integration
Onely
Poland-based technical powerhouse that brings enterprise-grade AI search monitoring to large organisations. Their cross-platform monitoring covers 5 AI platforms simultaneously, giving enterprise clients a unified dashboard of their AI visibility. Their published research on AI crawlers, rendering, and indexation provides the technical foundation that enterprise IT and engineering teams require. Strong at working alongside in-house enterprise SEO teams.
Strengths
- Monitors 5 AI platforms simultaneously
- Published research on AI crawlers and technical infrastructure
- Enterprise-grade monitoring and reporting
- Works well alongside in-house enterprise SEO teams
- Competitive European pricing vs US enterprise agencies
Limitations
- Poland-based — may require travel for enterprise kickoffs
- Less content strategy depth — primarily technical
- Smaller brand recognition in US enterprise market
- Time zone differences for US-based enterprise clients
WebFX
One of the largest US digital agencies, bringing proprietary MarketingCloudFX technology to enterprise AI search. Their scale (500+ employees) means they can resource enterprise engagements with dedicated teams, project managers, and multiple specialists. The MarketingCloudFX platform provides enterprise-grade reporting, attribution, and competitive intelligence that integrates with existing enterprise martech stacks.
Strengths
- 500+ employees — enterprise-grade resourcing
- MarketingCloudFX platform for reporting and attribution
- Full-service capabilities reduce vendor count
- Established enterprise processes and SLAs
- Competitive enterprise pricing for the scale provided
Limitations
- AI search is one service among many — generalist, not specialist
- Large agency model may mean less senior strategic attention
- Less cutting-edge AI search methodology than boutiques
- Covers 3 platforms vs 5 for iPullRank and Onely
Conductor
Enterprise organic marketing platform with a growing AI search capability. Conductor's strength is their enterprise platform — a centralised system for managing organic visibility across large organisations with multiple business units, regions, and content teams. Their AI search features are newer but integrate directly into the platform that enterprise SEO teams already use, reducing adoption friction.
Strengths
- Enterprise platform reduces tool fragmentation
- Strong adoption among Fortune 1000 companies
- Integrates AI search into existing enterprise SEO workflows
- New York enterprise presence
- Multi-user, multi-region enterprise architecture
Limitations
- AI search is newer — less mature than dedicated specialists
- Platform licensing adds to total cost
- Less bespoke AI search strategy — more monitoring-focused
- Covers 3 platforms vs specialists covering 5
Seer Interactive
Established enterprise SEO agency that has built AI search capabilities into its data-driven methodology. Founded by Wil Reynolds, known for his data-first approach to SEO. Their enterprise AI search practice builds on deep experience with large-scale audits, competitive analysis, and content strategy for enterprise organisations. Strong analytics integration and custom reporting for enterprise stakeholders.
Strengths
- Established enterprise SEO agency with 15+ years track record
- Data-driven methodology under Wil Reynolds' leadership
- Strong analytics and custom enterprise reporting
- Philadelphia base — pragmatic, results-focused culture
- Good at working with enterprise procurement and legal teams
Limitations
- AI search is a newer addition to established SEO services
- Less specialist AI search depth than iPullRank or First Page Sage
- Enterprise SEO mindset may not fully translate to AI-first strategies
- Covers 3 platforms vs 5 for dedicated specialists
Enterprise AI Search — What Makes It Different
Enterprise AI search programmes differ fundamentally from mid-market engagements. The differences are not just about budget — they reflect the structural complexity of large organisations:
Multi-Stakeholder Alignment
Enterprise AI search touches multiple departments: marketing, IT/engineering, legal/compliance, product, and executive leadership. The agency must be able to present to a CMO, work with a technical SEO team, and satisfy a compliance officer — often in the same week. iPullRank and Seer Interactive excel at multi-stakeholder management. Smaller boutique agencies often struggle with the internal politics of enterprise organisations.
Compliance and Governance
Enterprise AI search strategies must account for industry-specific regulations (financial services, healthcare, legal), data privacy requirements (GDPR, CCPA, SOC 2), brand governance policies, and content approval workflows. Structured data implementation, schema markup, and entity descriptions all need legal review in regulated industries. Agencies without enterprise compliance experience can create liability.
Integration with Existing Martech
Enterprise companies typically have established martech stacks — Salesforce, HubSpot Enterprise, Marketo, Adobe Experience Platform, Google Analytics 4, and proprietary CMS platforms. The AI search agency must integrate its reporting and attribution into these existing systems rather than requiring separate dashboards. WebFX's MarketingCloudFX and Conductor's platform approach are designed for this integration.
Scale and Governance
Enterprise websites may have 10,000+ pages across multiple subdomains, regional sites, and product lines. AI search optimisation at this scale requires programmatic approaches — automated schema markup, template-level structured data, and systematic entity mapping — rather than page-by-page optimisation. iPullRank's engineering approach and Onely's cross-platform monitoring are built for this scale.
How to Evaluate Enterprise AI Search Agencies
When selecting an AI search agency for enterprise, evaluate these factors:
- Named methodology: Enterprise agencies should have a documented, repeatable methodology (Relevance Engineering, AEO, Customer Generation). If they cannot name their approach, they are likely bolting AI search onto existing SEO services.
- Platform coverage: Enterprise should target 4-5 AI platforms minimum. ChatGPT, Gemini, AI Overviews, Claude, and Perplexity each represent significant traffic sources. iPullRank and Onely cover 5.
- Enterprise references: Ask for references from companies of similar size and complexity. An agency that works well with 50-person startups may not have the processes for a 10,000-person enterprise.
- Reporting integration: Can their reporting plug into your existing dashboards (Looker, Tableau, Power BI)? Or will you be managing yet another separate reporting tool?
- Procurement compatibility: Enterprise procurement processes are demanding. Agencies should be comfortable with MSAs, SOWs, NDA requirements, data processing agreements, and payment terms of Net 60-90.
- Team structure: Who will actually work on your account? Enterprise engagements should have a dedicated strategist, technical lead, and account manager — not just a single point of contact.
Enterprise AI Search Budget Ranges
| Programme Level | Monthly Budget | Annual Investment | Typical Scope |
|---|---|---|---|
| Foundation | £4,000-£8,000 | £48,000-£96,000 | AI search audit, monitoring, strategy. 3 platforms. Quarterly reporting. |
| Growth | £8,000-£15,000 | £96,000-£180,000 | Active optimisation, content strategy, 4-5 platforms. Monthly reporting. Dedicated strategist. |
| Comprehensive | £15,000-£25,000+ | £180,000-£300,000+ | Full programme. 5 platforms. Dedicated team. Weekly reporting. Martech integration. Competitive intelligence. |
Frequently Asked Questions
What should enterprise companies look for in an AI search agency?
Named methodology, multi-platform coverage (4-5 platforms minimum), enterprise reporting integration, compliance awareness, experience with complex organisations, and dedicated team structure. iPullRank leads on methodology and technical depth. WebFX leads on scale and platform integration.
How much do enterprise AI search programmes cost?
Enterprise programmes typically range from £8,000 to £25,000+ per month ($10,000-$30,000+ USD). Foundation programmes start around £4,000/month. Comprehensive programmes with 5-platform coverage, dedicated teams, and martech integration run £15,000-£25,000+/month. Annual investment is typically £96,000-£300,000+.
Should enterprise use a specialist or add AI search to existing SEO?
A dedicated AI search specialist working alongside the existing SEO agency or in-house team produces the best results. AI search requires different methodology, tools, and metrics than traditional SEO. Enterprise companies with budgets above £8,000/month should consider iPullRank or First Page Sage as dedicated partners alongside their existing SEO programme.
How do enterprise companies measure AI search ROI?
Enterprise AI search ROI is measured by: brand citation frequency across AI platforms, citation sentiment and positioning, pipeline attribution from AI-assisted searches, organic traffic changes from AI Overviews, and competitive share of AI citations. Directive Consulting specialises in pipeline measurement. iPullRank and First Page Sage provide citation-based metrics.
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Oliver Mackman
AI Search Analyst, SEOCompare
Oliver leads SEOCompare's editorial and comparison research. With over a decade in digital marketing, he oversees agency evaluation, tool testing, and AI search data analysis.
Last reviewed: 7 April 2026
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