London · Agentic AI · AEO · GEO · PPC

AI Marketing Agency London: Agentic AI, AEO and PPC as One Revenue System

B2B AI marketing that generates leads, pipeline, and revenue. We deploy Agentic AI systems, AEO and GEO citation authority, and AI-optimized PPC — as one connected program, 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 program itself: multi-agent systems that execute GTM workflows autonomously, structured data programs 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-optimized campaigns. Most London agencies deploy one layer of this. We deploy all five as one connected program.

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

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PPC and Performance Max

AI-optimized 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 personalized 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 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.

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 program so that traditional organic rankings, Google AI citations, and non-Google AI citations reinforce each other.

Performance Marketing & Attribution

We run AI-optimized 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 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

Programme structure

What happens in the first 90 days

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.

Days 1–14

Audit and baseline

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.

Days 15–45

Foundation deployment

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.

Days 46–90

Optimisation and compounding

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.

Buyer's checklist

How to choose an AI marketing agency in London

Most agencies that call themselves AI marketing agencies are using AI for content generation. Ask these questions before appointing one.

1Can you show me your citation monitoring methodology and a sample monthly report?
2Which of your clients has the highest AI citation share of voice in their category, and how did you achieve it?
3How do you connect AI citations to pipeline — not just impressions or traffic?
4Do you have published case studies with independently verifiable outcomes?
5Do you deploy AI as the operating layer of the marketing program, or just as a content production tool?
6How do you measure the ROI of Agentic AI systems versus traditional marketing execution?
7What is your methodology for building entity authority in AI search, and how long does it take?

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.

FAQ

AI Marketing Agency London — frequently asked questions

London is the UK's largest concentration of B2B technology, professional services, FinTech, and enterprise buyers. An AI marketing agency based in London combines proximity to that buyer base with the infrastructure to run AI-powered programs — Agentic AI systems, AEO/GEO citation building, and AI-optimized PPC — that a traditional London digital agency cannot deliver. Integrated.Social has been operating in the London B2B market since 2014, which means we understand the buying committee dynamics, regulatory constraints, and commercial pressures specific to London-headquartered B2B brands.

The first 90 days follow a structured three-phase sequence. Days 1–30: ICP and persona mapping, brand positioning audit, baseline measurement of current pipeline metrics, and technical AEO audit. Days 31–60: AI content operations launch, AEO schema implementation, PPC campaign restructuring, and Agentic AI system deployment. Days 61–90: first citation rate measurement, pipeline attribution reporting, and program optimization based on early data. By day 90, you should have measurable AI citation presence, a running content operations workflow, and a first pipeline attribution report connecting program activity to qualified leads.

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 programs for destination marketing organizations and B2B healthcare technology brands.

Yes. While we are headquartered in London, we run AI marketing programs for B2B brands across the UK, Europe, North America, and the Middle East. 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 programs in English, Spanish, and Portuguese. Our London base is a commercial advantage, not a geographic constraint.

Yes. All client delivery is led by Modi Elnadi, founder of Integrated.Social, with 10+ years of B2B growth marketing experience across FinTech, SaaS, professional services, and enterprise technology. We do not use junior account managers or offshore delivery teams. Every strategy document, every schema implementation, and every AI system deployment is reviewed and signed off by Modi. This is the model we have operated since 2014 and it is the reason our client retention rate is above 80%.

Our minimum engagement is a 90-day AI marketing pilot covering ICP and persona mapping, AEO technical audit, AI content operations setup, and pipeline attribution baseline. This is sufficient to establish a measurable citation rate improvement, produce 8–12 pieces of answer-first content, and generate a first pipeline attribution report. Most clients continue beyond the pilot once they see the citation rate and pipeline data. We also offer outcome-based pricing for clients who prefer to align fees with commercial results.

Ask four questions before appointing any London AI marketing agency: (1) Can you show me a live AI citation monitoring report for a current client? (2) Which of your clients has the highest AI citation share of voice in their category, and how did you achieve it? (3) How do you connect AI citations and content to pipeline — not just traffic? (4) Do you have published case studies with independently verifiable outcomes? An agency that cannot answer all four clearly is either too new to the discipline or is selling traditional digital marketing under an AI label.

Request three types of proof: (1) Published case studies with named clients, specific metrics, and independently verifiable outcomes — not anonymized 'client A' results. (2) A live demonstration of their AI citation monitoring methodology — show me a real report, not a slide deck. (3) References from clients in your sector who have been with the agency for 12+ months. An agency with genuine AI marketing capability will provide all three without hesitation. We publish our case studies at integrated.social/case-studies/ and offer reference calls with current clients on request.

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-optimized 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.

AI Visibility Audit

14-point diagnostic that maps every AI citation gap before any programme begins. Fixed-scope, fast turnaround.

AI Content Operations

Systematic AEO-optimised content production that compounds citation authority month on month.

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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 programs 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.