AI has changed sales and marketing faster than advice can keep up.
Every week there’s a new ultimate guide to SEO, a new social media hack, a new framework promising 10x growth, and most of it was outdated when it was published. Now that AI is reshaping discovery, distribution and how buyers make decisions in real time, the advice lags reality by a wide margin.
The old playbook is dead
Traditional SEO is losing ground to LLM-powered answer engines, content strategies built for 2020 no longer capture buyer attention the way they used to, and B2B and B2C buyers alike are using AI agents to research, compare and shortlist. Those agents skip past your brand guidelines and landing page copy and look for clear, checkable answers.
If your strategy predates LLM-based search, it needs a rethink rather than a tweak. (For the channel-by-channel breakdown, see how AI is rewiring owned channels, earned channels and paid channels.)
What matters now
Answer Engine Optimisation. Structure your content so AI systems can parse, understand and cite it. Keywords alone won’t cut it, you need to be the source that gets referenced, and Google rankings no longer predict who AI answers cite. The SEO playbook for premium endurance brands covers the technical and content moves that make this work.
AI-native distribution. The channels have shifted, so you need to understand how LLMs rank information, how AI agents evaluate credibility, and what trust looks like when there’s no click.
Speed over perfection. AI can compress parts of the marketing cycle from months to days. Companies that adapt quickly gain an edge over those locked in six-month planning cycles. (The 90-day AI integration plan is what that adaptation actually looks like for a marketing leader.)
The opportunity
The noise is an advantage if you know how to use it, because while competitors debate whether to use AI in marketing, other organisations are building their entire go-to-market around AI from day one. Sales, marketing, ecommerce. They’re rebuilding operations for a world where AI is the default rather than bolting it onto existing processes.
That’s a different discipline, and it’s what we do at Manual Focus.