I was spotting patterns, questioning briefs and connecting dots long before AI started finishing sentences.
Now, I use AI to research faster, explore more strategic routes, prototype ideas and turn early thinking into something teams can see, test and improve.
The tools are new. The need for judgment isn’t.
In practice
Research · Strategy · Content systems · Creative prototyping · AI agents · Automation · AEO
Use AI to organise large volumes of audience, category, competitor and campaign information into themes, tensions and questions worth investigating.
Practical applications
Use AI to challenge the first obvious answer, examine different strategic routes and pressure-test early thinking.
Practical applications
Turn a central brand strategy into connected content across platforms without losing the original idea.
Practical applications
Make early ideas tangible before teams commit significant time or production budgets.
Practical applications
AI-generated visuals are always labelled as concepts or prototypes, never as documentation of a real campaign.
Explore how task-specific agents can connect research, planning, content and reporting into repeatable marketing workflows.
Practical applications
An area I actively study, prototype and apply to marketing workflows.
Help brands prepare for a world in which discovery increasingly happens through AI-generated answers, not only traditional search results.
Practical applications
A chatbot responds to an individual request. An AI agent can work towards a defined goal across several connected steps.
For marketing teams, this creates an opportunity to reduce repetitive coordination and make useful information easier to access. An agent could monitor competitors, organise new information, identify meaningful changes and prepare a structured summary for human review. The value is not removing people from the process. It is removing unnecessary friction from the process.
AI CAN MOVE THE WORK FORWARD. PEOPLE STILL DECIDE WHERE IT SHOULD GO.
Reviews a marketing brief, identifies gaps, separates the business problem from the requested deliverable and generates the questions a strategy team should answer before beginning.
Monitors competitor communication and organises meaningful changes by message, audience, offer, platform and creative approach.
Transforms an approved long-form asset into channel-specific content while checking tone, message consistency and repetition.
Creates a searchable record of campaign decisions, assets, feedback, learnings and results so valuable knowledge does not disappear across presentations and message threads.
Concepts I am exploring, not fictional client case studies.
People are beginning to ask AI platforms questions they once typed into search engines. Instead of choosing from a page of links, they may receive one summarised response.
That changes the challenge for brands. Visibility will increasingly depend on whether a brand’s information is clear, consistent, credible and useful enough for answer engines to understand and reference.
Answer Engine Optimisation, or AEO, brings together audience understanding, content strategy, SEO fundamentals, digital authority and structured brand information.
Traditional SEO
Competes for rankings and clicks
Answer Engine Optimisation
Competes for inclusion in generated answers
Traditional SEO
Often begins with keywords
Answer Engine Optimisation
Often begins with complete audience questions
Traditional SEO
Optimises pages for search engines
Answer Engine Optimisation
Structures information for retrieval and citation
Traditional SEO
Measures visibility and website traffic
Answer Engine Optimisation
Also considers mentions, references and answer visibility
Traditional SEO
Directs people towards a source
Answer Engine Optimisation
Helps the source become part of the answer
Audience questions · Entity clarity · Structured content · Authority signals · Citable information · Consistent brand facts
THE NEXT BATTLE FOR ATTENTION MAY NOT BEGIN WITH A CLICK.
AI can surface possibilities. It cannot choose the position a business should commit to.
Patterns need context. The same message can mean different things across markets, communities and moments.
Generating options is not the same as having taste.
Numbers still need interpretation, business context and occasionally a healthy amount of scepticism.
CONTEXT. TASTE. RESPONSIBILITY. STILL VERY HUMAN JOBS.
Research · Synthesis · Exploration
Visualisation · Prototyping · Creative exploration
Landing pages · Tools · Working prototypes
Repeatable processes · Discovery · Scale
AI agents, automated workflows and AEO content systems are capabilities, not software products.
It will need people who understand brands, audiences, business problems and the consequences of putting an idea into the world.
That is the part I bring with me.