Meet the Team

Modi Elnadi is a London-based Agentic AI Performance Marketing leader who helps brands win in AI-powered search and conversion-led growth marketing campaigns. With 18+ years across in-house and agency roles, he specialises in AI Marketing Automation and AI Search Optimisation; spanning SEO, AEO (AI Search and Answer Engine Optimisation), GEO Expert (Generative Engine Optimisation), and LLM optimisation for conversational search, AI assistants, and generative search experiences.

Modi blends strategic leadership with hands-on execution across PPC / Paid Search (Google Ads, Performance Max, Shopping), Paid Social, Programmatic, Retail Media/Amazon, and lifecycle CRM. He is known for designing full-funnel growth systems that connect intent to outcomes: persona research, keyword and query mining, semantic SEO, entity optimisation, technical SEO collaboration, and content architecture engineered for both rankings and direct answers.

His AEO/GEO toolkit includes definition-led landing pages, “best for” comparisons, FAQ and HowTo hubs, People-Also-Ask targeting, voice search readiness, and structured data / schema markup (FAQPage, HowTo, Article, BreadcrumbList, Organisation) to improve answer eligibility and citation rates across search and AI answer engines. He also applies AI copy optimisation, programmatic content briefs, internal linking strategies, and measurement loops that tie visibility to pipeline, CAC, ROAS and LTV.

Modi has led multi-market media investments exceeding £20m across the UK, EMEA, MENA, the US and Asia, partnering with global brands including Unilever, Vodafone, Philips, IQOS, Wella and Bose, plus high-growth startups. Using GenAI and agentic workflows, he streamlines reporting and optimisation (creative iteration, experiment design, bid strategy tuning, and audience modelling) to increase testing velocity and reduce wasted spend.

At Integrated.social, Modi leads AI-first growth programmes that integrate paid and organic search into repeatable playbooks; often delivering ROAS uplifts in the 5x–35x range and faster learning cycles through disciplined experimentation. An early adopter and beta tester of emerging MarTech, he holds an MBA in Digital Media Monetisation and leads stakeholder-friendly commercial transformation.

Work with Modi

Book a Free AI Growth Audit (AEO/GEO + PPC baseline)

Core services

• AI SEO + AEO/GEO services (AI Answers visibility in London): Modi will partner with brands to deliver Answer Engine Optimisation (AEO) and GEO strategies that ensure AI Overviews surface accurate, authoritative and locally relevant answers. By combining AEO-focused content design, precise schema implementation and GEO signals, Modi engineers concise, context-rich responses optimised for AI answer engines and localised discovery across Google and other AI platforms. The approach includes mapping high-intent queries to AI Overview formats, structuring content with schema-rich FAQs and entity markup, testing AI Mode prompts for clarity and factuality, and iterating using analytics from AI answer impressions and local search performance. The result: brands that appear as trusted sources in AI-generated summaries, capture high-intent local demand, and convert answer-driven discovery into measurable leads and revenue.

• Performance Max and PPC management (Google Ads that convert in London):Modi will work closely with brands to deliver measurable PPC and Performance Max outcomes, aligning spend to ROAS, CPA and pipeline growth targets through a structured, data-first approach. For Google Ads and Performance Max optimisation in B2B lead generation, he will prioritise intent signals, high-value audience layering and customised conversion modelling to surface qualified leads while lowering cost-per-acquisition. Across paid search channels; Performance Max, Shopping and Search. Modi will implement incremental testing, asset and creative optimisation, and feed and audience hygiene to improve signal quality and bid efficiency. He’ll pair automated strategies with manual oversight, regular diagnostic reporting and clear commercial KPIs so campaigns scale revenue, improve lead quality and expand the sales pipeline predictably.

• AI marketing strategy and GenAI content ops (governed scale): Modi will enable brands to scale GenAI content operations by delivering an AI marketing operating system that codifies processes, prompts, QA and production workflows into a single, audit-ready framework; this system coordinates briefs, role-based approvals and versioning so content moves from concept to live with predictable quality and measurable throughput. For SEO, AEO/GEO and demand generation, Modi crafts an AI content strategy that blends intent-first topic modelling, localised entity and schema signals, and prompt templates tuned for search-answer formats and marketplace listings, ensuring each asset targets high-value queries, featured snippets and shopping surfaces. Governance is enforced through automated compliance checks, metadata policies and human-in-the-loop QA gates that preserve brand voice, legal safety and factual accuracy while enabling rapid iteration; together, these elements convert AI productivity into sustained organic visibility, qualified traffic and scalable commercial outcomes.

Featured writing

• ChatGPT 5.2 and Gemini 3 explained, implications for Google AI Overviews and AI Mode ChatGPT 5.2 vs Gemini 3 shifts AI discovery: ChatGPT 5.2 improves instruction-following, context retention and commerce-aware prompts; Gemini 3 advances multimodal reasoning and web-scale factual grounding. Together they raise standards for relevance, sourcing and answer utility in Google AI Overviews and AI Mode.

  Marketers must prioritise structured provenance (schemas, clear citations), real-time signals (inventory, pricing, stock) and modular content that adapts to conversational and multimodal queries. Actionable steps: optimise for concise authoritative snippets; embed transactional metadata for shopping/local; test prompts and microcopy to shape AI answers; and integrate feeds so agents surface current offers.

  Visibility now depends less on old ranking tricks and more on being the most useful, verifiable, and format-ready source across text, image and structured feeds.

• How OpenAI evaluates “real work” AI performance, GDPval and the 44-jobs framework GDPval is OpenAI’s benchmark for “real-work” AI, testing models across 44 occupations via job-specific tasks, standardised grading and aggregated scores. It shows not just accuracy but robustness—highlighting strengths (e.g., data analysis, customer-support drafting) and weaknesses (e.g., specialised professional judgment, complex physical reasoning). By mapping task types and difficulty, GDPval reveals where AI can replace, assist, or augment human labour, guiding adoption, risk assessments and procurement. For AI marketers and AI Search teams this yields predictable value: better campaign targeting, realistic automation ROI, and optimised content and paid strategies for search answer engines, shopping assistants and performance creative. The 44-job lens shifts evaluation from synthetic tests to commercially meaningful signals for integrating AI into customer journeys and operations.