B2B AI marketing that generates leads, pipeline, and revenue. We deploy Agentic AI systems, AEO and GEO citation authority, and AI-optimised PPC - as one connected programme, measured back to revenue at every stage.
Most London agencies that call themselves AI marketing agencies are using AI for content generation. We deploy AI as the operating layer of the marketing programme itself: multi-agent systems that execute GTM workflows autonomously, structured data programmes that build citation authority in AI search, and PPC campaigns that use AI-driven audience signals to target buyers at the moment of commercial intent.
Use the Free AI Visibility Score for a self-serve starting view. Use the £750 AI Visibility Audit when you need a documented, paid assessment and a prioritised next-step recommendation. Neither route guarantees a citation, ranking, lead or revenue outcome.
Updated 15 October 2026: buyer decision tools and service FAQs reviewed for evidence, scope and next-step clarity.
Why London B2B brands are deploying AI marketing systems now, not next year.
B2B buyers use LLMs in purchase research
6sense Buyer Experience Report, 2025
Execution time savings possible with AI
McKinsey, June 2026 (n=521 CMOs)
Registration growth - UK FinTech case study
Integrated.Social, 60-day engagement
ROAS - East African Tourism Board case study
Integrated.Social, 12-month engagement
Sources: 94% B2B LLM usage: 6sense 2025 Buyer Experience Report (n=4,000 B2B buyers). 60%+ execution savings: McKinsey "From campaigns to continuous growth," June 2026 (n=521 CMOs). 350% registration growth and 4.8x ROAS: Integrated.Social client case studies; full methodology and outcome data available at integrated.social/case-studies.
AI marketing is not a single service. It is the integration of AI systems across the full marketing stack - from how you research and understand your buyers, to how you reach them in AI search, to how you convert them through AI-optimised campaigns. Most London agencies deploy one layer of this. We deploy all five as one connected programme.
The (Re)Target framework - our proprietary eight-stage circular methodology - was designed to align persona research, AEO/GEO content architecture, Agentic AI deployment, and pipeline attribution so that every AI system we build and every campaign we run is grounded in the same buyer intelligence and measured back to the same revenue outcomes.
The result: London B2B brands that work with us build compounding competitive advantages - citation authority in AI search that is difficult to close once established, Agentic AI systems that scale content production without scaling headcount, and PPC campaigns that improve ROAS quarter over quarter.
Read the (Re)Target methodologyMulti-agent workflows that execute GTM, content, and campaign tasks autonomously - not just AI-assisted copy.
One programme covering traditional SEO, Google AI citation, and all generative AI surfaces including ChatGPT and Perplexity.
AI-optimised Google Ads with persona-driven targeting, structured A/B testing, and ROAS-first measurement.
AI-powered ABM targeting buying committees at named accounts with intent data and personalized multi-channel sequences.
We report on leads, pipeline contribution, CAC, and ROAS - not impressions, citations, or content volume.
Published case studies with independently verifiable outcomes: 350% FinTech growth, 4.8x tourism ROAS, £2.4M B2B SaaS pipeline.
| Capability the page already claims | Send the buyer here |
|---|---|
| Agentic lead generation | Agentic AI marketing |
| AEO and GEO | SEO, AEO and GEO |
| PPC | PPC and Performance Max |
| AI websites | AI websites |
| Executive training | AI training for leaders |
A buyer should be able to compare agencies against the same commercial brief: the decision to improve, the evidence available, the people who approve work, the first bounded release and the measure that would justify a next investment. These tools are practical diligence aids, not a score that predicts commercial outcomes.
For each priority question, record the buyer, claim, source, owner, review gate and next commercial action. If one of those fields is missing, treat the work as a hypothesis rather than proof.
Test a narrow workflow before expanding an agent into buyer-facing work. The relevant question is not whether the model can produce text; it is whether the team can govern its inputs and outputs.
Score the approach, not the presentation. Apply the same weightings to every proposal, then ask for one worked prioritisation example.
Every engagement starts with a brand positioning and persona audit. From there, the programme is structured around the four pillars of AI-led B2B growth.
We start with your buyers, not your technology. We map the buying committee, build persona profiles grounded in real behavioral data, and identify the commercial intent signals that indicate readiness to engage. This persona intelligence becomes the shared foundation for every AI system, every content module, and every campaign we run.
We build and deploy multi-agent AI systems that execute marketing workflows autonomously: persona research agents, content production agents, A/B testing agents, and GTM execution agents. Our largest deployment to date used 14 agents, 5 buying personas, and 3 languages to deliver 70%+ content velocity improvement and 60% review cycle reduction for a regulated sports media company.
We build citation authority across all AI search surfaces - Google AI Overviews, AI Mode, ChatGPT, Perplexity, Claude, and Gemini - through structured data implementation, entity authority mapping, and answer-ready content architecture. We run SEO, AEO, and GEO as one unified programme so that traditional organic rankings, Google AI citations, and non-Google AI citations reinforce each other.
We run AI-optimised PPC and Performance Max campaigns with persona-driven targeting, structured A/B testing, and conversion tracking discipline. We connect all channels - organic, AI citation, paid, and direct - to pipeline entries and revenue through CRM-side attribution modeling, so you know exactly which AI marketing investments are generating returns.
London is the UK's most competitive B2B market. Enterprise buyers in financial services, professional services, and B2B technology are among the earliest and heaviest adopters of AI-assisted research. According to McKinsey's June 2026 survey of 521 CMOs, 60–70% savings in execution-related tasks are possible with AI - and brands that deploy those systems now are building compounding operational advantages over competitors that are still evaluating.
The AI marketing landscape in London is moving fast. Specialist agencies from Found, Reboot, and Blue Array have begun positioning for AEO and GEO. General digital agencies are rebranding as AI agencies. The brands that will win are not the ones that adopt AI tools - they are the ones that deploy AI as a strategic operating layer, grounded in buyer intelligence and measured back to revenue.
That is what Integrated.Social has been building since 2014. Not AI tools on top of a traditional agency model - AI systems that replace the model itself.
Every AI marketing engagement starts with a 90-day foundation sprint. This is where we establish the buyer intelligence, deploy the first AI systems, and build the citation baseline that the rest of the programme compounds from.
AI visibility audit, buyer persona mapping, competitor citation analysis, and programme scoping. You receive a full citation baseline and a prioritised roadmap before any production work begins.
Schema markup implementation, first answer-first content modules, Agentic AI workflow architecture, and PPC campaign structure. All systems are grounded in the buyer intelligence from the audit phase.
Citation rate tracking, PPC performance optimisation, content velocity scaling, and pipeline attribution reporting. By day 90 you have a functioning AI growth system with measurable citation and pipeline data.
Most agencies that call themselves AI marketing agencies are using AI for content generation. Ask these questions before appointing one.
An agency that cannot answer all seven clearly is either too new to the discipline or is selling traditional digital marketing under an AI label.
A London-based team can work closely with UK B2B buyers and the people who approve product, legal and commercial claims. The more important question is whether the agency can define the buyer problem, evidence, delivery owners and commercial measurement before recommending work. Location can help collaboration; it does not replace a credible method.
Compare the same buyer brief across agencies: the priority audience, decision, pages, available evidence, delivery owners, review gates and intended commercial next step. Ask each agency to show one worked prioritisation example, distinguish what it can validate from outcomes it cannot guarantee, and explain how its work will be measured without treating a citation or a dashboard as proof of revenue.
The £750 AI Visibility Audit is the paid, scoped assessment for teams that need a documented evidence review and prioritised next-step recommendation. Confirm the current scope, deliverables and terms on the pricing page before purchase; it is not a promise of a citation, ranking, lead or commercial result.
The Free AI Visibility Score is the self-serve starting point when a team needs an initial view of how clearly a website presents its services and evidence in AI search. It is useful for deciding whether a deeper conversation is warranted. It does not replace a paid audit, technical implementation review or commercial strategy.
A team is ready to test an AI agent when it can define a narrow task, provide approved source material, name the human approver, set an escalation rule and measure a bounded business outcome. Start with drafts and review gates for buyer-facing work. Do not treat an agent as accountable for product truth, compliance approval or commercial commitments.
Multi-agent systems that execute GTM, content, and campaign workflows autonomously.
AI search visibility across Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini.
AI-optimised Google Ads with persona-driven targeting and ROAS-first measurement.
Verified outcomes: 350% FinTech growth, 4.8x tourism ROAS, £2.4M B2B SaaS pipeline in 90 days.
Our eight-stage circular methodology for AI marketing, persona targeting, and pipeline attribution.
10+ years of B2B AI marketing expertise. Author of the (Re)Target framework.
14-point diagnostic that maps every AI citation gap before any programme begins. Fixed-scope, fast turnaround.
Systematic AEO-optimised content production that compounds citation authority month on month.
London B2B buyer guide
Compare eight alphabetically presented London B2B agencies by public evidence, scope, buyer constraints, pricing questions and delivery ownership-not by a generic “best agency” claim.
Read the London B2B agency comparison →Local industry resources
These sector pages translate local discovery, content and measurement principles into a specific service-business context across SW London and Surrey.
A practical local-discovery page for hospitality businesses building visibility across search and maps.
View sector pageExplore local search, content and campaign considerations for restaurant demand generation.
View sector pageA sector-specific route for fitness businesses competing for local discovery and enquiries.
View sector pageThe Free AI Visibility Score provides a high-level baseline across broad AI visibility dimensions. It is separate from the paid £750 AI Visibility Audit and does not provide a fix-by-fix remediation plan.
Founder & Director of Marketing and AI Growth, Integrated.Social
Modi Elnadi has spent over a decade building AI-led growth programmes for B2B brands across financial services, technology, and professional services. He created the (Re)Target framework - a proprietary eight-stage circular methodology that integrates Agentic AI deployment, AEO and GEO citation authority, and performance marketing into one connected system measured back to revenue. Modi founded Integrated.Social in 2014 and leads all AI marketing strategy for London-based B2B brands navigating the shift from traditional digital marketing to AI-first growth systems.