London · Agentic AI · AEO · GEO · PPC

AI Marketing Agency London

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.

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AI marketing in London — the numbers that matter

Why London B2B brands are deploying AI marketing systems now, not next year.

AI Marketing Context

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.

What we do

AI marketing for London B2B brands that need results

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 methodology

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Agentic AI systems

Multi-agent workflows that execute GTM, content, and campaign tasks autonomously — not just AI-assisted copy.

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AEO + GEO + SEO unified

One programme covering traditional SEO, Google AI citation, and all generative AI surfaces including ChatGPT and Perplexity.

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PPC and Performance Max

AI-optimised Google Ads with persona-driven targeting, structured A/B testing, and ROAS-first measurement.

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Account-Based Marketing

AI-powered ABM targeting buying committees at named accounts with intent data and personalised multi-channel sequences.

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Pipeline-first measurement

We report on leads, pipeline contribution, CAC, and ROAS — not impressions, citations, or content volume.

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Verified client outcomes

Published case studies with independently verifiable outcomes: 350% FinTech growth, 4.8x tourism ROAS, £2.4M B2B SaaS pipeline.

Programme structure

What an AI marketing programme includes

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.

Brand Positioning & Persona Intelligence

We start with your buyers, not your technology. We map the buying committee, build persona profiles grounded in real behavioural 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.

Agentic AI Deployment

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.

AI Search Visibility (AEO + GEO + SEO)

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.

Performance Marketing & Attribution

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 modelling, so you know exactly which AI marketing investments are generating returns.

London context

Why London B2B brands need AI marketing now

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.

View client case studies Read: The (Re)Target Framework

FAQ

AI Marketing Agency London — frequently asked questions

A specialist AI marketing agency in London deploys artificial intelligence across the full B2B marketing stack — not just content generation, but the systems that research, target, test, and optimise campaigns autonomously. At Integrated.Social, this means building Agentic AI systems that run persona research, content production, A/B testing, and pipeline attribution as connected workflows; deploying AEO and GEO programmes so your brand is cited in ChatGPT, Perplexity, and Google AI Overviews; and running AI-optimised PPC campaigns that use machine learning to reduce CPA and improve ROAS. The output is not a strategy deck — it is deployed systems that generate leads, pipeline, and revenue.

Most London agencies that call themselves AI marketing agencies are using AI for content generation or reporting automation. Integrated.Social deploys AI as the operating layer of the marketing programme itself: multi-agent systems that execute GTM workflows autonomously, AEO and GEO programmes that build citation authority in AI search systems, and PPC campaigns that use AI-driven audience signals to target buyers at the moment of commercial intent. We are also one of the few London agencies with published, independently verifiable case study outcomes — including a 350% registration increase for a UK FinTech startup, 4.8x ROAS for an East African tourism board, and a 14-agent agentic AI system for a regulated sports media company.

Our London AI marketing client base is concentrated in B2B technology (SaaS, cloud infrastructure, cybersecurity), professional services (management consulting, legal, financial services), FinTech and BetTech, and B2B media and events. These sectors share a common characteristic: long buying cycles where buyers conduct extensive AI-assisted research before engaging a vendor. We have also run AI marketing programmes for destination marketing organisations and B2B healthcare technology brands. Our founder Modi Elnadi has 10+ years of hands-on experience across these sectors, which means we understand the regulatory constraints, buying committee dynamics, and commercial pressures that generic AI agencies do not.

Our London AI marketing services cover five disciplines: Agentic AI for marketing and GTM (multi-agent systems that automate content production, persona research, and campaign execution); AI Search Optimisation combining SEO, AEO, and GEO (getting your brand cited in Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini); PPC and Performance Max (AI-optimised Google Ads with persona-driven targeting and structured A/B testing); Account-Based Marketing (AI-powered ABM targeting buying committees at named accounts); and AI Marketing Strategy (senior strategy combined with deployed AI systems, starting with brand positioning and persona mapping). We run all five as one connected programme anchored to the same persona intelligence and measured back to revenue.

The timeline depends on the discipline. PPC improvements are typically visible within 30–60 days of campaign restructuring. AEO and GEO citation authority builds over 4–12 weeks depending on your existing domain authority and content baseline. Agentic AI systems are typically deployed within 4–6 weeks and begin generating content and executing workflows immediately. Full pipeline impact — where AI-assisted research journeys are connected to pipeline entries and revenue — is typically measurable within 90 days of programme launch. Our FinTech case study delivered 350% registration growth and 85% CAC reduction in 60 days; our ABM case study delivered £2.4M in new pipeline in 90 days.

We measure AI marketing ROI through pipeline contribution, CAC, ROAS, and revenue — not impressions, citation counts, or AI-generated content volume. Every programme starts with a baseline measurement of your current cost per qualified lead, pipeline velocity, and conversion rates. We then set targets for each discipline and report against them monthly. For AEO and GEO, we connect AI citation journeys to pipeline entries via UTM-tagged landing pages and CRM attribution modelling. For PPC, we report on ROAS and CPA at the campaign and persona level. For Agentic AI, we report on content velocity, review cycle reduction, and GTM asset output. The dark funnel problem — buyers who research via AI but arrive via direct or branded search — is addressed through CRM-side attribution modelling.

Yes. While we are headquartered in London and have deep expertise in the UK B2B market, we run AI marketing programmes for B2B brands across Europe, North America, and the Middle East. Our London base gives us proximity to the UK's largest concentration of B2B technology, professional services, and financial services brands, but the methodology we deploy is equally effective for any English-language B2B market. AI search is global — ChatGPT, Perplexity, and Google AI Mode do not have geographic boundaries — and our Agentic AI systems have been deployed for multilingual GTM programmes in English, Spanish, and Portuguese.

The (Re)Target framework is our proprietary eight-stage circular methodology for B2B AI marketing. It was developed by Modi Elnadi over 10+ years of B2B growth marketing practice and refined through four major client engagements. The eight stages — Research, Engage, Target, Attract, Retain, Generate, Evaluate, and Test — are designed to align persona research, content architecture, AEO/GEO schema implementation, and pipeline attribution into one connected system. The framework is what distinguishes our AI marketing programmes from agencies that deploy AI tools without a strategic methodology: every AI system we build, every content module we produce, and every schema layer we implement is grounded in the same persona intelligence and measured back to the same revenue outcomes.

Related services and resources

Agentic AI Marketing

Multi-agent systems that execute GTM, content, and campaign workflows autonomously.

SEO, AEO & GEO

AI search visibility across Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini.

PPC & Performance Max

AI-optimised Google Ads with persona-driven targeting and ROAS-first measurement.

Client case studies

Verified outcomes: 350% FinTech growth, 4.8x tourism ROAS, £2.4M B2B SaaS pipeline in 90 days.

The (Re)Target Framework

Our eight-stage circular methodology for AI marketing, persona targeting, and pipeline attribution.

Modi Elnadi — Founder & AI Marketing Director

10+ years of B2B AI marketing expertise. Author of the (Re)Target framework.

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About the author

Modi Elnadi

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.