AI on the blog.
AI systems we have built and run, and the cases where we advise against automation. Real use, not demos.
9 posts · Every category on the blog index
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AI tools for digital marketing: what to check before it ships
AI tools for digital marketing now draft copy, set bids, pick placements and flag changes in your reports, much of it inside Google Ads, Meta and GA4.
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AI visibility audit: how we measure mentions and citations on a frozen prompt set
An AI visibility audit records what assistants say about you, on fixed questions, under recorded conditions.
AI agent vs automation vs a chatbot: the questions we ask before building an agent
A chatbot answers, an automation follows a path drawn in advance, and an agent chooses its own next step.
“Just do what ChatGPT recommended”: how we review an AI-written marketing plan
When a client brings an AI-written marketing plan, we check each line for fit with their own data, whether the platform still works that way, and whether…
Why governed delivery says no to some AI automation, and where the approval step goes
Most AI automation requests are good ideas. Some tasks should not run unsupervised however capable the model is. How governed delivery tells the two apart.
AEO vs SEO: what changes when buyers ask AI instead of Google, and what to check
AEO vs SEO: how a place in an AI answer differs from a ranking, what studies say about clicks, Google's rules, and the seven-check page review we run. Read on.
AEO and GEO, measured: the 39 buyer prompts we monitor and how we read them
How to apply AEO and GEO inside a digital campaign to turn AI-driven visibility into leads: eight steps, the benefits, and the common challenges to plan for.
Marketing automation: what to connect first, and what to keep in human hands
What digital marketing automation can realistically do for a business, whether it suits yours, how to get started, and where it still needs a human running it.
Do reviews shape AI answers? What we check, from a law firm’s reputation work
AI assistants answer trust questions from what the web already says, so reviews matter alongside profiles, articles and your own pages.
What the AI posts cover
These posts cover AI that is live and looked after, not just shown in a demo: chatbots, AI agents, automating routine work and AI search. They say which automation requests we turn down and why. They also explain how AEO and GEO, getting your business into AI answers, change what your content has to do.
The common thread is control. Just because AI can do a task does not mean it should run with no one checking. Most of these posts are about where to draw that line for a real business, with real customers and data.
If you are thinking about an AI project, the service pages below explain how we plan it and what we will and won't automate. They also explain how we look after it once it is live.
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