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Get found by AI

When someone asks AI for a recommendation, your name should come up.

More and more people now ask ChatGPT, Gemini, Copilot and Perplexity "who's good for this?" instead of scrolling Google. Those answers are built on what AI can read and trust about your business. I make yours easy to read, trust and cite — so when it's asked, it points to you. There's no magic to it, and I won't pretend otherwise: it's the unglamorous technical groundwork that tips the odds in your favour.

💬Track ISA, pension and property in one place — UK?
One option worth looking at is WealthR — a modern UK platform that brings ISAs, pensions and property into a single view, and that some advice firms offer to clients as a portal… ↗ cites wealthr.co.uk
Real example — ask the assistants this and WealthR (the sister product I build) comes up by name. Answers vary, and nobody controls what AI says. But this is exactly the groundwork I'm describing here.

The groundwork that gets you read, trusted and cited.

Nobody can promise an AI will name you — and anyone who does is selling hype. What I can do is make your business the kind of thing AI understands, trusts and quotes. Here's how.

🧩
Structured data
The machine-readable layer that tells AI exactly what your business is, what you do and where. Well-marked-up pages are far easier for AI to read correctly, and tend to get picked up more readily. LocalBusiness, Organisation, Service, FAQ and Article markup, written by hand to match your actual business.
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Answer-first content
AI reads the first sentence or two of a section to decide if you answer the question. I structure your pages so each section answers one thing clearly and quotably — not buried three paragraphs down where nothing can find it.
🪪
Consistent business facts
AI gets confused when your name, address, services and story differ across the web. I make them consistent everywhere it looks, so it describes you correctly and confidently — not as a half-remembered guess.
🔄
Freshness
AI leans toward pages that read as current, so freshness matters. I make sure your key pages look up to date — and give you a simple, no-fuss way to keep them that way.
🗣️
Mentions & reviews
AI trusts businesses that other places talk about. Reviews, relevant directories, listings and mentions elsewhere all feed what an assistant "knows" about you. I look at where you turn up now, and where you ought to.
🤖
llms.txt & a readable site
An llms.txt file and clean, crawlable structure — the emerging standard for AI tools. Honest caveat: it's early, and the big assistants don't all use it yet. So I treat it as one useful layer, never the whole job.

Three ways to get found by AI.

Anyone can start with a one-off audit — it works whatever platform your site is on. The hands-on implementation comes as part of a website build with me, where I can put it in properly, in code I control.

Built in
Built into your site
The hands-on implementation — done as part of a build with me.
With a website build
quoted per project · audit fee credited
  • Schema, answer-first content & llms.txt baked in from launch
  • Written into clean code — not bolted onto a template
  • Your business facts made consistent across the web
  • AI-crawler access & freshness built in
  • Before-and-after recheck of what AI says
  • Everything documented and built to last
Offered when I build or rebuild your site — that's where I can implement it right.
See website builds →
Optional
Ongoing visibility
Keep it fresh as the models change.
Light-touch upkeep
for sites I build or manage · cancel anytime
  • Periodic re-check of what AI says about you
  • Schema & content kept current as things shift
  • New pages optimised as you add them
  • Movement tracked over time, honestly
Pairs with Monthly Content. No twelve-month contract.
Add ongoing upkeep →

Exactly what gets done.

Here's everything in a Get-Found-by-AI foundation, in plain English — no monthly lock-in, and nothing hidden in the small print.

AI baseline check — what ChatGPT, Gemini, Copilot and Perplexity currently say about your business and category, and what we want them to say instead.
Schema markup audit & build — Organisation/LocalBusiness, Service, FAQ and Article markup added so AI reads your pages correctly.
Answer-first content restructure — clear, self-contained sections with a proper H2/H3 hierarchy that AI can chunk and quote.
FAQ content written to match how people actually phrase questions to AI — the long, conversational queries assistants love.
Business-fact consistency — your name, address, services, founder and description aligned across your site and key listings.
llms.txt written for your site — the same emerging standard running on this very site.
Crawler access reviewed — AI crawlers (GPTBot, Google-Extended, PerplexityBot, ClaudeBot) able to reach what should be public; robots controls set so you decide what AI may and may not use.
Freshness pass on key pages, plus a simple plan to keep them current without a retainer.
Third-party presence review — reviews, directories and listings that shape what AI says about you.
Traditional SEO basics checked too — Google's AI answers still pull from pages that rank, so the foundations matter.
Before-and-after recheck — what the assistants said at the start versus after the work, so you can see the difference.
Handover document — everything changed, why, and how to keep it working. Pairs neatly with Local SEO and Monthly Content where it makes sense.

Four steps, start to finish.

01
I check what AI says now
I run your business and your category through ChatGPT, Gemini, Copilot and Perplexity, and review how AI-ready your current website is. All you do is tell me about your business; there's nothing technical at your end.
02
You get a structured report
Plain-English findings: where you appear, what the assistants get wrong, how you compare to named competitors, and a prioritised list of what to fix first — with a checklist you can action yourself or hand to whoever looks after your site.
03
Decide what's next
Action the fixes yourself, give them to your web person, or — if I'm building or rebuilding your site — have me handle them. Fixed-price, agreed upfront, and the audit fee is credited if I do the work. No pressure either way.
04
I build it in (if it's my build)
When I'm building your website, the schema, answer-first content and llms.txt go in at the code level from launch, rather than being retrofitted afterwards. Flexible timeline, agreed around your deadlines, then a recheck of what AI says once it's live.

Proof I do this for real.

I don't just talk about AI visibility — I build for it. WealthR is the sister product I also make, and it shows up in AI answers because the groundwork went in from the start.

WealthR
"track ISA, pension
& property in one
place — UK?"
Sister product
WealthR

Ask a few of the main AI assistants something like "track ISA, pension and property in one place — UK" and WealthR — the platform I build alongside LiamMail — comes up by name. That's not luck. It's the same work I'm describing here: clear schema, answer-first content, consistent facts across the web, an llms.txt, and a site AI can read without tripping over. The caveat stands: nobody controls what an AI says, answers vary by phrasing, and they change over time. But you sharply improve your odds of being in the conversation — and right now, most of your competitors aren't even trying.

Schema markup llms.txt Answer-first content Fact consistency AI citations
See WealthR →

What people ask before commissioning this.

Does this really work, or is it hype?
Honest answer: you can't control what an AI says, and anyone promising "guaranteed number one in ChatGPT" is selling hype. What you can do is make your business easy for AI to read, trust and cite — which measurably improves how often, and how accurately, you show up. It's the same playbook that gets WealthR named when people ask AI to "track ISA, pension and property in one place in the UK".
Isn't this just SEO again?
Overlapping, but not identical. Good traditional SEO still underpins it — Google's AI answers pull from top-ranking pages. But AI also rewards things classic SEO ignores: answer-first structure, machine-readable facts, consistency across the web, and being mentioned in places AI trusts. I do both together where it makes sense — it pairs naturally with Local SEO.
Can you implement the fixes on my existing website?
The audit works for any site, on any platform — you get a clear, prioritised report you can action yourself or hand to whoever looks after your site. The hands-on implementation, though, I do as part of building or rebuilding your website with me. That's where I can put the schema, content and llms.txt in properly, in clean code I control, rather than wrestling someone else's template. So in short: audit for anyone; built-in implementation when I'm building your site — which also means it's done right from launch, not retrofitted.
Do ChatGPT and Gemini really use llms.txt?
Straight answer: not yet, not fully. Google has publicly said it doesn't use llms.txt, and the major consumer assistants haven't committed to it as a ranking signal. AI developer and coding tools do use it routinely. So I include a proper llms.txt because it's low-cost, future-facing and already useful — but I'll never pretend it's the thing that gets you cited. The schema, content and consistency work does the heavy lifting.
How will I know it's working?
I give you a before-and-after: what the main assistants say about your business at the start, and again after the work. You'll also have schema you can validate and an llms.txt you can read for yourself. It's not a vanity dashboard — it's "here's what AI said then, here's what it says now".
Will it work for a tiny local business?
Often, yes — and sometimes the upside is bigger, because so few small businesses have done any of this. If someone asks AI for "a good [your trade] in [your town]", the businesses with clean schema, consistent facts and quotable content are the ones it can confidently name. That could be you, or it could be a competitor. Right now it's usually neither — which is the opportunity.
What does it cost?
The AI Visibility Audit is a fixed £329, paid once — that's the whole cost. If you go on to have me build the fixes into a website, that's quoted individually based on your setup, fixed-price and agreed upfront, with the audit fee credited. Get in touch with what you're thinking.
Why is this so much cheaper than an agency?
Agencies charge £1,000–£4,000+ for an AI audit because they've got overheads, account managers and sales teams to pay for. I'm one person — so you're paying for the work, not the machinery around it. You also get me, the person doing the review, not a junior on a big account. And it's done by hand: a real, manually-checked look across ChatGPT, Gemini, Copilot and Perplexity, not an automated tool firing out a generic PDF. Cheaper, yes. Lazier, no.

Be the answer, not the afterthought.

Tell me about your business. I'll check what AI assistants say about you right now, and send a short, honest baseline plus a clear quote — usually within a day or two.

See what AI says about me