AI can only work with the evidence it can find.

We improve the content, structure and evidence that help search engines and AI systems understand when your business is relevant and credible.

Nick sits at a deak with a client in a meeting in the fireband studio

Start with what can actually be found and verified

AI systems need clear information, identifiable expertise and evidence they can find, connect and verify.

  • Be understandable. Make your organisation, services and expertise clear to machines.
  • Be verifiable. Support important claims with useful content, named expertise and credible evidence.
  • Keep testing. Measure the same questions over time and improve what can actually change.
Read about our approach
Malcolm chats with two colleagues around a table in the Firebrand office.

Start with what AI can see

We start with the questions that matter, then trace the answers back to the evidence behind them. That gives us something real to improve and something real to measure against.

  • Set the baseline

    We test the questions your audience is likely to ask and record where your business appears, how it is described and what sources are being used.

  • Find what is missing

    We look for the gap between what your business knows and what search and AI systems can actually understand and verify.

  • Strengthen the evidence

    We improve the pages and signals that make your expertise clearer, more useful and easier to trust.

  • Test what changed

    We run the same questions again to see whether visibility has moved and where the next opportunity sits.

Book a chat with us

We talk with the people commissioning, managing and using the website. We review what exists, what is getting in the way and what the organisation needs to achieve.

FAQs

Brand & indentity questions

The practical questions behind planning and running your marketing.

What is structured data?

Structured data is machine-readable information that helps search systems interpret entities, relationships and content on a page.

What is schema markup?

Schema markup is a shared vocabulary used to describe information such as organisations, people, services, articles and events.

 

Can you add schema to an existing website?

Often, yes. We review the current content, templates, CMS and technical setup before recommending the implementation.

 

Will schema guarantee rich results or AI citations?

No. Structured data can help systems interpret a page, but it cannot guarantee rankings, rich results, citations or inclusion in an AI answer.

How do you keep schema accurate?

The markup must reflect visible page content and current relationships. We document ownership and review points so it can be maintained after launch.