AI for Marketing Teams

01 AI model benchmarks for Insights and Strategy Scores for seven frontier AI models on nine benchmarks, each linked to its source, with independent leaderboard checks and the cost per finished task. Tool 23 September 2026 6 min read → 02 Claude Code Workflow: Skills, Loops and Multi-Agent Review A working guide to Claude Code beyond prompting: keeping instructions lean, turning repeated work into skills, scheduling them, and running adversarial multi-agent review on anything that ships. Guide 24 August 2026 10 min read → 03 The Shift From Advice to Decision-Making Systems Strategy delivered as a deck is losing its usefulness. Companies now need a decision system they can query, update and connect to their own AI systems. Article 17 August 2026 5 min read → 04 Codex Power-User Workflow: Models, Threads, Skills and Safeguards A working guide to running Codex beyond code generation: matching models to tasks, delegating across threads, building reusable skills, and the safeguards to set before granting autonomy. Guide 21 July 2026 11 min read → 05 Marketing Before and After AI: A Map of the Value Chain AI compressed cost and time across the marketing value chain. A box-by-box map of where it helps, and the failure mode in each stage. Article 16 July 2026 6 min read → 06 The Marketing Evaluation Function Generation is cheap now, so the durable advantage is an evaluation function that encodes domain judgement and tells a good output from a plausible wrong one. Article 16 July 2026 8 min read → 07 Marketing in the Age of AI An AI marketing strategy series covering the value chain, how AI changed each stage, how to judge B2B positioning, and the evaluation function. Article 16 July 2026 6 min read → 08 The Marketing Value Chain and the Concentration of AI Tools Marketing is a value chain from understanding demand to measuring brand value. Almost every AI marketing tool works in one box of that chain. Article 16 July 2026 6 min read → 09 Self-Improving AI Models and Marketing Research AI models now help build the next AI models. The consequences of recursive self-improvement for marketing research and experimentation. Article 16 July 2026 7 min read → 10 Agentic RAG for Business Teams A buyer's guide for insights and marketing leads: how retrieval-augmented generation works, why plain RAG disappoints, and what agentic RAG changes. Guide 16 July 2026 7 min read → 11 Automating B2B Lead Generation with Scrapers and Workflows An honest guide to scraper-plus-workflow lead gen: what Apify, n8n and Clay automate well, where it breaks, and a sensible reference architecture. Guide 16 July 2026 6 min read → 12 Automating Search Console Reporting Why the GSC interface caps what you can see, what the API adds, and a practical path to automated query-page, cannibalisation, and indexation reports. Guide 16 July 2026 6 min read → 13 Prompt Engineering for Marketing Teams: A Working Guide A practical guide to prompt engineering for marketing: how to structure a prompt, before/after examples, and how to turn prompts into reusable skills. Guide 16 July 2026 7 min read → 14 The Marketing Skills Pack: 22 AI-ready marketing skills for Claude Twenty-two marketing skills - positioning, segmentation, Lift-Off SEO, ad creative, cold email and more - packaged to drop straight into Claude. Free download. Tool 16 July 2026 4 min read → 15 AI Implementation: 13 Lessons from 150 Real Agent Deployments 13 practical lessons on implementation, scoping, and ROI from 150 real AI agent deployments, for marketing and brand teams adopting AI. Guide 17 March 2026 6 min read → 16 Radar: agent marketplaces, brand assets as games, F1 stretch Five things worth your attention this week across marketing and AI, picked by hand from a much longer list. Radar 17 March 2026 →