AI visibility

Your customers are asking AI who to buy from. Is it saying you?

More buyers now start with ChatGPT, Gemini, and Perplexity instead of a search bar. The AI does not read your website the way a person does. It reads your data, and if that data is messy or scattered, it quietly recommends someone else.

Why this matters now

There is a version of your business that only the AI sees.

When a buyer asks an assistant to recommend a supplier, the AI does not browse your homepage. It queries data: your prices, your stock, your specs, your delivery, pulled from your site, your listings, and everywhere else you appear. Then it decides, in seconds, whether to put you in the answer. Most businesses have no idea what that version of them looks like.

If your facts are scattered across systems that do not agree, the AI cannot trust them, so it leaves you out.

If your stock or price says one thing on your site and another on a marketplace, that contradiction marks you as unreliable.

If your products lack clear, consistent identifiers, the AI cannot match them, and quietly skips past them.

In one audit, AI shopping assistants ignored more than 40% of a store's range, not because the products were wrong, but because the data could not be read.

It is the same root cause that makes you oversell or makes your numbers disagree, pointed outward. The disconnected data that breaks your operations is the disconnected data that makes you invisible to AI.

What it is

AI visibility is a data problem before it is a content problem.

AI visibility, sometimes called answer engine optimisation, is the work of making your business something AI assistants can find, trust, and recommend accurately. It is not about gaming a search ranking. It is about giving the engines clean, consistent, machine-readable facts about who you are and what you sell, so that when a buyer asks, the AI can answer with confidence and name you.

A typical agency approaches this as content: more pages, more keywords. That is the easy 10%. The hard, decisive part is the data underneath, and that is the part most agencies cannot touch. It is the part we build for a living.

The wider industry now frames it the same way: Google calls this data strength and treats a connected, trustworthy data foundation as the thing its AI rewards, which is why being found is a data problem long before it is a content one.

How we do it

We build the AI-ready foundation, then run the loop on top of it.

This is a continuous practice, not a one-off project. It starts with the data engineering that sits beneath everything, then becomes an ongoing cycle of improvement as the AI engines, and your business, keep changing.

Audit your AI footprint

We find out what the assistants actually say about you today, where your data is contradicting itself, and where you are simply absent.

ChatGPT · Gemini · Perplexity

Build the AI-ready database

The core of the work: one clean, connected, structured source of truth for your products, prices, stock, and policies, that machines can read.

Structured data · schema · identifiers

Update content and listings

We align the facts and language across your site, marketplaces, and profiles so every surface tells the AI the same, consistent story.

Site · marketplaces · directories

Strengthen reviews and mentions

Assistants weigh what others say about you, so we help build the consistent, trustworthy presence across the web that they look for.

Reviews · citations · entity signals

Monitor and analyse

We track whether you appear in AI answers over time, what you are being said to be, and where the gaps and opportunities are.

Tracking · reporting · analysis

Improve and evolve

The engines change constantly. We mine the data, refine what is working, and keep the foundation current so your visibility holds.

Data mining · iteration

This is beyond what a typical SEO or marketing agency does. They optimise pages and hand you a report. We build and maintain the structured data foundation the AI actually reads, and that same AI-ready database also powers your dashboards, your operations, and your reporting. You build it once, and use it everywhere.

What you get

A business AI can recommend with confidence.

A clear picture of how AI assistants describe and recommend you today, with the gaps named.

One clean, structured, AI-ready source of truth for your products and facts, built to last.

Consistent, accurate information about you across every place the AI looks.

Ongoing monitoring, so you can see your presence in AI answers improve over time rather than guess at it.

We are honest about what this is. Nobody can promise a fixed ranking inside an AI answer; the engines decide that, and they keep changing. What we can do is make your data something they can trust and cite accurately, and keep it that way, which is the part that actually moves the needle and the part almost everyone skips.

Common questions

AI visibility, answered.

By making your business something the AI can read and trust. Assistants pull structured facts about your prices, stock, products, and policies from across the web, then recommend the options they can evaluate with confidence. The work is giving them clean, consistent, machine-readable data, not writing more marketing copy. Nobody can guarantee a placement, but clean data is what makes you eligible to appear at all.
Usually because your data is scattered, inconsistent, or incomplete. If an assistant cannot confidently read your price, stock, and product details, or finds them contradicting each other across channels, it treats you as unreliable and recommends a competitor it can read instead. The products are there; the AI just cannot see them clearly.
No. Traditional SEO is about ranking pages of content. AI visibility is mostly about the structured data underneath, the clean, connected facts an assistant reads to decide what to recommend. Content still helps, but it is the smaller part. The decisive part is data engineering, which is outside what most SEO agencies do.
No, and anyone who guarantees it is not being straight with you. The engines decide what to show, and they change often. What we can do is make your data clean, consistent, and machine-readable so you are eligible and accurately represented, then monitor and improve it over time. That is the part that genuinely moves the needle, and the part most skip.

In short

  • AI assistants recommend businesses by reading structured data, not by browsing websites, so messy or inconsistent data gets a business left out of AI answers.
  • AI visibility, or answer engine optimisation, is mostly a data problem: clean, connected, consistent, machine-readable facts about your products, prices, stock, and policies.
  • MYT Digital builds the AI-ready data foundation, then runs a continuous loop of audit, content, reviews, monitoring, and improvement on top of it.
  • This goes beyond a typical SEO agency, which works on content; the decisive part is the data engineering underneath, and the same AI-ready database also powers operations and reporting.
  • No one can guarantee placement in AI answers; the credible work is making data trustworthy and accurate so a business is eligible and well represented.

Find out what the AI says

See how AI describes your business today.

Book a 30-minute review and we will show you what the assistants say about you now, and what it would take to change it.