How Tilio uses marketing agents to win in AI search

At Tilio, we help brands become easier to find, understand and recommend in AI search.

That means improving how they appear in tools like ChatGPT, Perplexity, Gemini and Google AI Overviews, and making sure their website, content and wider digital presence give AI systems the right signals.

To give you a flavour of what’s possible, we’re sharing how we use marketing agents for Tilio’s own marketing.

These workflows help us understand what people are asking, how AI tools describe us, which pages are being cited, where our content needs improving and what we should do next.

As an AI search specialist agency, we know the fundamentals still matter: clear content, strong authority, technical structure and crawlability. We use marketing agents to build on those foundations and understand how AI systems interpret, cite and recommend Tilio.

The aim is simple: make Tilio easier to understand, easier to trust and easier to find in AI search.

What we mean by marketing agents

Marketing agents are focused AI workflows that help us research, analyse and improve our own marketing.

They support strategy, judgement and taste by helping us move faster, spot patterns and turn research into useful actions.

For Tilio, that means using agents to understand:

• what people are asking around AI search, websites, automation and growth
• how AI tools currently describe Tilio
• which topics Tilio is already associated with
• where our website explains things clearly
• where our content is thin, vague or missing
• which pages AI tools can understand and cite
• which external sources help shape how Tilio is perceived

This gives us a practical system for improving our own visibility.

Why AI search visibility matters

AI search is becoming a serious discovery channel.

People are using AI tools to understand problems, compare options, ask follow-up questions and decide what to do next. For a brand, that means visibility is about more than rankings.

It’s about whether AI systems understand who you are, what you do, who you help and why you’re relevant.

That doesn’t happen by accident.

AI systems need clear signals. They need to understand your services, expertise, content, proof points and wider brand presence.

Marketing agents help us check those signals and improve them over time.

How Tilio uses marketing agents

1. We study the questions people are actually asking

We use agents to research the questions people ask before they speak to an agency.

These aren’t generic keyword lists. They’re practical, problem-led questions that show intent, uncertainty or curiosity.

For example:

• “How should a growing company use AI on its website?”
• “What should an agency website do beyond looking good?”
• “How can automation improve lead handling?”
• “What should I fix before spending more on marketing?”
• “How do I know if my website is holding back growth?”
• “What should a founder automate first?”
• “How can a service business turn more website traffic into enquiries?”
• “How does AI search change content strategy?”
• “Why is my brand missing from AI answers?”
• “How do AI tools decide which companies to mention?”

These questions show us where Tilio can be useful.

They also tell us what our website needs to explain more clearly.

2. We check how AI tools understand Tilio

We use agents to review how Tilio appears in AI-generated answers.

We look at whether Tilio is mentioned, how we’re described, which services we’re associated with, whether our positioning is accurate, which sources AI tools use, whether our content is being cited and where we’re missing from relevant conversations.

This gives us a baseline.

If AI tools don’t describe Tilio clearly, that usually means the web doesn’t give them enough clear, useful information yet.

3. We find gaps in our own content

Marketing agents help us compare what people want to know with what Tilio has actually published.

That helps us spot missing or weak content, such as:

• service pages that need clearer explanations
• pages that don’t answer obvious follow-up questions
• case studies that could explain the commercial impact better
• articles that need stronger examples
• technical pages that need plain-English summaries
• thin sections that don’t give AI tools enough context
• missing content around AI search, automation and website strategy
• pages that should connect better through internal links

This gives us a sharper content plan.

Rather than publishing for the sake of it, we focus on making Tilio’s expertise easier to find, understand and trust.

4. We improve pages so they answer better

Once we know what’s missing, we improve the pages that matter.

That might mean adding clearer service descriptions, sharper positioning, better page structure, useful FAQs, stronger internal links, better examples, proof points and clearer explanations of our process.

The goal is to make every important page more useful for people and easier for AI systems to interpret.

Good AI search optimisation starts with good communication.

5. We monitor what AI tools cite

AI search tools often rely on pages, articles and other sources they can crawl, understand and trust.

So we use agents to see which sources influence answers in the areas Tilio cares about.

That helps us understand:

• which Tilio pages are being cited
• which pages are being ignored
• which competitor pages are being picked up
• which third-party sources influence answers
• which topics need more authority
• whether our content is accessible to AI crawlers
• whether technical issues are blocking visibility

This helps us focus on the work that can actually improve AI search performance.

6. We turn research into repeatable workflows

The useful bit is that agents don’t give us a one-off report. They help us build repeatable workflows for Tilio’s own marketing.

We use them for AI visibility checks, question research, content gap reviews, page improvement briefs, citation monitoring, competitor positioning reviews, technical crawl checks and content refreshes.

That gives us a system we can keep improving.

We can see what’s working, what’s missing and what needs to change next.

What marketing agents help us produce

Marketing agents help us turn AI search research into practical marketing outputs, including:

• AI visibility snapshots that show how Tilio appears in AI-generated answers
• question maps that show what people are asking around AI search, websites and automation
• content gap lists that highlight what our site needs to explain better
• page briefs that give us clear instructions for improving key pages
• FAQ recommendations that help us answer natural follow-up questions
• citation reports that show which sources influence AI answers
• competitor reviews that show how other agencies are being positioned
• technical checks that help us make sure our site is crawlable and understandable

The value is in the workflow: research, review, prioritise, improve, measure and repeat.

What this means for you

We use these workflows on Tilio first because it keeps us close to the reality of AI search.

We can see what works, where the tools are useful, where human judgement matters and how quickly things change.

That makes our advice sharper.

When we talk about AI visibility, content structure, citation opportunities or technical crawlability, it’s based on active work we’re doing for our own brand too.

The same principles can help any business that wants to be more visible in AI search:

• make your positioning easier to understand
• answer the questions your audience already has
• strengthen the pages that matter
• build clearer proof around what you do
• improve the technical foundations of your site
• understand which sources shape how AI tools describe you
• measure visibility over time, rather than guessing

AI search rewards brands that are clear, useful and trusted.

Marketing agents help us build that clarity more consistently.

Why this matters

Search is changing quickly.

People still use Google, but they’re also using AI tools to make sense of problems, research companies and decide what to do next.

For Tilio, that means our marketing needs to explain what we do in a way that both people and AI systems can understand.

Marketing agents help us find the right questions, improve the right pages, strengthen our positioning and track whether Tilio is becoming more visible in AI search.

It’s a practical way for us to grow our own marketing while learning exactly what works.

And because we use these workflows on Tilio first, we can test, refine and improve our AI search approach before using it anywhere else.

Want to see what’s possible?

We’re using marketing agents to improve Tilio’s own AI search visibility.

That means sharper content, clearer positioning, better technical foundations and a stronger understanding of how AI systems describe, cite and recommend us.

AI search is moving quickly. We’d rather learn by doing.