How to Do Generative Engine Optimisation (GEO)
A practical nine-step guide to GEO and AEO, covering prompt research, answer-first content, authority, technical discoverability, schema and AI visibility measurement.
Read the GEO guidePlain-English guides, tips and news on using AI tools like Claude, ChatGPT, Gemini, Perplexity and Microsoft Copilot to save time at work and in your business. Written by Harry Lang and the team. No jargon, no hype, just things you can use today. Explore practical guidance for business owners, directors, startup founders, civil servants and public sector teams.
Clear guidance for business owners, directors and teams choosing AI tools, training staff, protecting data, writing policy and putting AI to work.
Browse all 27 guides by topic, from first steps and team skills to marketing, policy, research and implementation.
Start with the tool your team already has. These practical guides explain what ChatGPT, Claude, Microsoft Copilot, Google Gemini and Perplexity do well, where they go wrong and how to use them safely at work.
ChatGPT for Dummies: a practical plain-English guide for beginners, business owners and teams learning how to use ChatGPT safely and effectively at work.
ClaudeClaude for Dummies: a practical guide to Claude Chat, Projects, Artifacts, Skills, Connectors, MCP, Cowork and Claude Code for beginners and business teams.
Microsoft CopilotCopilot for Dummies: a practical guide to Microsoft Copilot for beginners and teams using Word, Excel, PowerPoint, Outlook and Teams at work.
Google GeminiGemini for Dummies: a practical guide to Google Gemini for beginners and teams using Gmail, Docs, Sheets, Slides and Google Workspace at work.
PerplexityPerplexity for Dummies: a practical guide to AI research, cited answers, fact-checking and GEO for beginners, business owners and professional teams.
We deliver practical AI training in Oxfordshire, London and across the UK, with live online training for the USA and worldwide.
Twenty straight answers to the questions people actually ask us in the room – what AI is, how it works, whether it is safe, how to use it at work, and how to learn it properly. No jargon, no hype, no maths.
What the two letters actually mean, and the difference between AI, machine learning and generative AI.
Prediction, patterns and training data, explained without a single equation.
The kind of AI that makes things – text, images, code – and how it differs from the AI you already use.
Learning from examples rather than rules, and why that one shift changed everything.
What ChatGPT is, what it is doing when it answers you, and where it goes wrong.
Anthropic’s assistant, how it compares to ChatGPT, and why so many professionals prefer it.
The jobs to hand over first, and the prompt pattern that turns grey mush into usable work.
Name the tool, show the task, give the number. Weak and strong examples side by side.
What the evidence actually says about which tasks go, which jobs stay, and what to do now.
Getting real answers out of a spreadsheet without learning Python or trusting blindly.
A short, honest shortlist – and why three tools beat thirty.
The risks worth taking seriously, the ones that are hype, and what it means for you today.
What happens to what you type, what gets used for training, and how to keep control.
Why AI is wrong so convincingly, where mistakes cluster, and how to check without wasting your day.
The one line never to cross, plus the settings and habits that keep client data safe.
How to tell a course that teaches from a course that sells, before you spend anything.
How far free really gets you, and the exact point where paying starts to make sense.
The genuinely free UK options, who funds them, and what the catch usually is.
No coding, no maths. A five-step route from first chat to confident daily use.
What it covers, what it costs, who it suits, and what it leaves out.
Read the guides, then learn it properly with a human. We train complete beginners, one-to-one and in teams.
Get In TouchDirect, plain-English answers for owners, directors and team leaders choosing AI training, building safe adoption and measuring the result. Browse by the question you would ask ChatGPT, Claude, Gemini, Copilot or Perplexity.
Your team has the tools but nobody uses them. Here is why AI adoption stalls and a practical way to get a team actually using AI on real work, not toy examples.
Read the answer →Asked by business leadersA straight answer on whether AI training is worth it for a small business, what it costs, what you get back in hours saved, and how to tell if it will pay off.
Read the answer →Asked by business leadersHow to upskill your staff on AI without wasting money: what to avoid, what actually works, and how to spend on training that sticks rather than a course nobody remembers.
Read the answer →Asked by business leadersWill your team figure ChatGPT out on their own, or do you need to train them? An honest look at what self-teaching gets you, what it misses, and the real risks.
Read the answer →Asked by business leadersWorried you have left AI too late? Here is how to tell how far behind your business really is, what the benchmark actually is, and how quickly you can catch up.
Read the answer →How to choose the best AI training provider for your business in the UK: the criteria that matter, the types of provider, and why practical, hands-on training wins.
Read the answer →Asked by business leadersLooking for AI training for a team of around 20? Here is how to run it well, how to group people, what it should cost you in time, and who to consider.
Read the answer →Asked by business leadersIn-person or online AI training for your team? A straight comparison of engagement, cost, scheduling and results, and how to decide which suits your business.
Read the answer →Looking for AI training for a small business in Oxford or Oxfordshire? The Oxford AI School runs practical, hands-on team sessions in person locally and online.
Read the answer →Asked by business leadersAI training for small businesses in London: practical, hands-on team sessions delivered in person across the capital or online, built around your real work.
Read the answer →Asked by business leadersAI training for small businesses in Reading and the Thames Valley: practical, hands-on team sessions in person or online, built around your real work.
Read the answer →Asked by business leadersAI training for small businesses in Cheltenham and Gloucestershire: practical, hands-on team sessions in person or online, built around your real work.
Read the answer →Asked by business leadersAI training for small businesses in Birmingham and the West Midlands: practical, hands-on team sessions in person or online, built around your real work.
Read the answer →Asked by business leadersWho does AI training for small businesses in the UK? The Oxford AI School runs practical, hands-on team sessions nationwide, in person or online, on your real work.
Read the answer →AI training for accountants that improves quality as well as speed. Practical, hands-on sessions for practices, with the checks and data safety the profession needs.
Read the answer →Asked by business leadersAI training for estate agents: write listings, chase leads and handle admin in a fraction of the time. Practical, hands-on sessions built around agency work.
Read the answer →Asked by business leadersAI training for marketing teams that goes beyond writing captions: content, research, campaigns and GEO. Practical, hands-on sessions built around your real work.
Read the answer →Asked by business leadersAI training for professional services firms, from law and consultancy to finance and agencies. Practical sessions that lift quality and speed, with data safety built in.
Read the answer →Asked by business leadersHow can a farm business use AI? Practical AI training for farmers on the paperwork, planning and admin that eat the day, in plain English and built around farm life.
Read the answer →What corporate AI training costs in the UK, what drives the price, and how to work out the return. An honest guide to budgeting AI training for your team.
Read the answer →Asked by business leadersHow long AI training for a team really takes: the session itself, and how many weeks until people are genuinely fluent. A practical timeline for busy teams.
Read the answer →Asked by business leadersWhat a good AI training course for staff should actually cover, from practical use-cases to prompting, checking output and data safety, and what to avoid.
Read the answer →Asked by business leadersCan AI training be done in a single day or half day? Yes, and for most teams it should be. What a half-day and a full day each cover, and how to choose.
Read the answer →Asked by business leadersThe difference between AI awareness training and hands-on AI training, which your team actually needs, and why hands-on is what changes how people work.
Read the answer →A ready-to-adapt business case for AI training for your team: the problem, the cost of inaction, the proposal, the numbers and the return. Copy, adapt and send.
Read the answer →Asked by business leadersHow to measure the ROI of AI training in a way a finance team will accept: what to baseline, what to track, and a simple formula for hours saved versus cost.
Read the answer →Asked by business leadersThe real risks of not training staff on AI: data breaches, quality errors, wasted potential and falling behind. Doing nothing is a decision with a cost.
Read the answer →A practical, step-by-step plan to roll out AI across a small business: where to start, how to train, how to set guardrails, and how to make it stick.
Read the answer →Asked by business leadersThe simple AI policy a small company needs before training staff: what to cover on data, checking, tools and accountability. A one-page, plain-English guide.
Read the answer →Asked by business leadersHow to stop staff pasting confidential data into ChatGPT: the practical mix of clear rules, the right tools and training that makes safe habits automatic.
Read the answer →Plain-English answers for business owners, directors and teams deciding where AI helps, how to start safely, what skills to build and when practical training pays off.
Four practical areas where AI saves time for small and growing businesses, without hype or a large technology project.
Read part 1 → Part 2What ChatGPT is genuinely useful for, what to keep away from it and how a normal business team can use it well.
Read part 2 → Part 3A five-step route covering tools, real work, safe use, team training and a practical plan for wider adoption.
Read part 3 → Part 4An honest look at tasks, jobs and the skills that help employees become more capable as working practices change.
Read part 4 → Part 5A quick readiness check, a realistic view of where other firms are and why the skills gap can close quickly.
Read part 5 → Part 6Useful prompt habits, safer working rules and a simple reference for owners, directors and business teams.
Read part 6 →A practical nine-step guide to GEO and AEO, covering prompt research, answer-first content, authority, technical discoverability, schema and AI visibility measurement.
Read the GEO guideHow startups actually use AI to move faster with fewer people, from product and marketing to support and fundraising. A practical guide for founders, no hype.
Read the guideThe AI tools that earn their place in a startup, across product, marketing, sales, support and ops, with honest notes on where to start.
Read the guideFounders are busy and AI seems intuitive, so is training worth it? An honest look at what AI training gives a startup team, and when to skip it and just get on.
Read the guideHow owners and founders use AI to grow output without adding headcount, by handing repetitive work to AI and freeing people for what only humans do.
Read the guidePractical AI training in London for founders, startups and business owners. In person across the capital and live online, built around your real work.
Read the guidePractical AI training for businesses in Manchester and Birmingham, in person and live online, built around your real work. For owners, founders and teams.
Read the guidePractical AI training for government departments, councils and public sector teams. Real skills, taught safely, with proper attention to data and governance.
Read the guideA practical guide to how civil servants and government staff can build AI skills safely, what to learn first, and how departments can train teams responsibly.
Read the guideA practical, jargon-free guide to writing an AI strategy for your business: where to start, what to include, and how to turn it into real action.
Read the guideHow to measure the ROI of AI in your business: what to count, a simple method that works, and the softer returns that don't show on a spreadsheet.
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PR already owns the hardest part of generative engine optimisation: earning credible third-party authority. So why are agencies allowing GEO to be framed as an SEO add-on? A practical argument for training the team, building a cross-functional operating model and piloting the service before putting it in the pitch deck.
Read the articleThousands of marketing emails, most of them the same five tips in a new jacket. Here are the ones worth your inbox – 40+ ranked across four tables: the best free marketing newsletters in the UK, the best marketing blogs in Europe, the best AI marketing newsletters, and the best in the world. Plus an FAQ on starting your own.
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Every single review of The Oxford AI School published on Trustpilot is a five-star review. The launch announcement in full – why a marketing veteran started a school to teach basic AI to farmers, solicitors, publicans and small business owners, what the training costs, and the verified feedback from the people who have already been through it.
Read the announcementYour team is sitting on the most powerful tool since the internet, and most of them are using it to write slightly better emails. We handed the workforce a Ferrari and watched them drive it to Lidl in second gear – 75% of AI-using businesses report better productivity, but only 12% see any more revenue. Why most corporate AI training is theatre, why ‘basic’ AI training is actually the whole game, what the best AI training for a business really looks like, and what it should cost across London and the South East.
Read the articleYour team is already using AI. The only real question is whether they are following your rules or making up their own. The fifteen questions we get asked in the room, answered in full – do I need one, is it legally required, what should it include, how do I stop staff pasting client data into ChatGPT – plus a free AI policy template you can download as a Word document and complete this afternoon.
Read the guide and get the templateMost AI policies I read were written to be filed, not followed. There is no single UK AI Act to comply with, which confuses people into either doing nothing or paying for a document nobody reads. This is the five decisions a governance framework actually has to make – approved tools, the data red line, which calls stay human, who owns it, and how you would prove any of it – plus how to get it written in a day.
Read the articleLawful, ethical and robust is the definition of trustworthy AI. Govern, Map, Measure and Manage is the method the NIST AI Risk Management Framework gives you to get there. Here is what both mean in a business with actual work to do on Monday, including how to measure whether a tool is reliable enough to use, and why alignment failures in real companies are far more mundane than the debate suggests.
Read the articleThe question that catches businesses out is never whether they are allowed to use AI. It is ‘show me what happened’, eight months later, from somebody who is not pleased. Compliance is proving it, auditing is checking it, and explainability is being able to say why. The records that make this survivable fit on a spreadsheet, and the audit takes ninety minutes twice a year.
Read the articleMost people pick the first AI tool they come across and learn as they go – then wonder why AI feels like more effort than it saves. Answer ten quick questions about your actual job and this free tool hands you a short, sensible stack: the tools worth your time, whether the free tier will do, and which model to reach for when the work matters. Plus the five layers every good AI stack has, and the data rules to follow if your work is confidential.
Build your stack
Twenty minutes from the UK’s first AI Growth Zone at Culham, ordinary Oxfordshire businesses are quietly stuck in 2019. AI in Oxford is booming; AI for the ordinary Oxfordshire business is barely happening. The gap is not about skill – it is about access. Here are the real blockers, and a simple six-step plan to get any small business AI enabled with basic AI training in Oxfordshire.
Read the articleThe 40 questions people ask most about learning AI for work in 2026 – answered plainly. Will AI take your job? Is it too late to start? How do you train a team without breaking the budget? Straight, jargon-free answers on job security, salaries, choosing a course, and getting your small business using AI without wasting money.
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Ask anyone in marketing how to get visible in ChatGPT and they will tell you to post on Reddit. So we checked. Reddit matters far more than most people realise, and far less than the loudest voices claim – and it depends entirely on which AI you ask. A data-led look at ChatGPT, Perplexity and Gemini, and what it means for getting your brand found by AI.
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Claude isn’t one product anymore – it’s four. A short field guide to the best way to use Chat, Projects, Cowork and Code, so the right tool picks itself. Chat for a fast answer, Projects for recurring work, Cowork to hand off a whole task, and Code to build something that actually works.
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When a constant raft of low-cost AI tools meets ever-simpler usability, everyone can work bigger, better, smarter and faster. Twin that with a global power race, and we’ve got a problem. A no-nonsense reality check on the real value and the real cost of the AI gold rush.
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From unhappy CMO to start-up teacher in 24 hours: Harry explains the career pivot, pressure and purpose behind launching practical AI training for local SMEs.
Read the articleWhen people ask where to start with AI, the honest answer is: start where it saves you the most boring time, fastest. These are the five jobs we help small businesses hand to AI first — in roughly the order they pay off.
Most teams lose an hour or more a day to the inbox. Paste the message you received, tell the AI the outcome you want and the tone to use, and let it produce a first draft. You stay in control — you read, tweak and send — but you skip the blank-page part that eats the time.
Meeting notes, voice memos and rough bullet points become clean proposals, summaries and reports in seconds. The trick is to give the AI your raw material and a clear instruction about the format you need, rather than asking it to invent facts.
A single blog post or recorded talk can become a newsletter, five social posts and a short video script. AI is at its best when it is reshaping content you already have, so your marketing output multiplies without multiplying your hours.
Long PDFs, competitor websites and dense reports can be summarised into the three things you actually need to know. Tools like Claude and Perplexity are excellent here — just remember to sense-check anything you will rely on.
Spreadsheets, customer lists and survey responses can be tidied, categorised and analysed in plain English — no formulas required. This is often the task that surprises people most, because it used to need a specialist.
The takeaway: pick one of these, try it this week, and build the habit before adding the next. Most of our clients save 10+ hours per person per week once these five are in place. Want help getting started? See our AI training for business or book a free intro call.
It is the question we are asked in almost every session. The honest answer is that the three leading assistants are all excellent, and the best one is usually the one you will actually open. But here is how we help people choose.
The best-known and the most versatile all-rounder. Brilliant for brainstorming, images, voice conversations and a huge ecosystem of add-ons. If you want one tool that does a bit of everything and the widest range of features, this is a safe first choice.
Our go-to for writing, careful analysis and working with long documents. Claude tends to produce natural, thoughtful prose and is excellent when the quality and tone of the words really matter — proposals, reports, sensitive emails and detailed reading.
The natural pick if you live in Gmail, Docs and the rest of Google Workspace, because it is built right into the tools you already use. Strong for research and for anyone who wants AI woven into their existing day rather than in a separate tab.
For most individuals and small teams we suggest starting with one tool, learning it properly, and only adding a second once the first is a habit. Don't agonise over the choice — the gap between the tools is far smaller than the gap between using AI well and not using it at all. We teach all three, and help you match the tool to your actual work.
Explore our programmes to learn Claude, ChatGPT, Gemini, Perplexity and Copilot hands-on.
If your AI answers feel generic, the problem usually isn't the tool — it's the instructions. Here is the simple four-part recipe we teach in every session for getting genuinely useful results out of any AI.
Put together, a weak prompt like "write a marketing email" becomes: "You are a friendly copywriter for a small Oxfordshire bakery. Write a 120-word email announcing our new sourdough, warm and not salesy, ending with a clear call to visit this weekend." The difference in quality is night and day.
One more tip: treat it as a conversation. If the first answer isn't quite right, tell the AI what to change rather than starting again. That back-and-forth is where the real magic happens.
Want to practise live with a coach? See our 1:1 sessions for individuals.
One short email every Sunday with the latest tips, tricks and updates — practical, fun and always jargon-free.