How OkTicket Became the #2 Most-Cited Brand in AI

About OkTicket

Industry: Fintech / Expense Management

Size: 70+ employees across multiple markets

Description: Okticket is a travel and expense management platform that helps companies streamline expense submission, control, and reimbursement processes.

The context

OkTicket had been working on SEO for years, but the search landscape was changing.

• User discovery was gradually shifting toward AI-powered search engines.
• Visibility in tools such as ChatGPT, Perplexity, or AI Overviews was difficult to assess.
• There was no clear way to understand how the brand appeared — or didn’t — in these environments.

As Rubén Llames (Paid Media Specialist at Okticket) explains:

“We had information coming from different sources, but it was hard to connect the dots or know where to focus.”

The team needed more clarity, not more complexity.

Why they decided to try Omnia

OkTicket wasn’t looking for a silver bullet, but for a way to better understand AI-driven search behaviour.

They saw value in Omnia because it offered:

• Visibility into how AI engines reference brands and topics, beyond traditional rankings.
• A more structured view of citations and prompts.
• The ability to spot niche opportunities instead of competing only on broad, high-volume terms.
• A way to centralise insights that were previously spread across several tools.

“Omnia helped us simplify how we look at AI visibility. It didn’t change everything overnight, but it gave us a clearer framework to work with.”

Rubén Llames, Paid Media Specialist

How Omnia was used in practice:

Rather than a radical shift, Omnia was gradually incorporated into OkTicket’s existing workflow.

1. Prompt and topic exploration

The team used Omnia to better understand the types of questions and prompts appearing in AI engines, focusing on relevance over volume.

2. Tracking meaningful signals

They began monitoring:

• Overall visibility across AI engines
• Citation presence compared to competitors
• Differences between markets

This provided a more consistent way to evaluate progress.

3. Supporting content prioritisation

Insights from Omnia were used as an additional input when deciding which topics to prioritise, especially in areas where OkTicket already had strong expertise.

“Before Omnia, this took six tools and a lot of doubt. Now it’s one place and one clear direction.”

Early outcomes

After a few months, the team began to notice some positive signals:

• A clearer understanding of where OkTicket appears within AI-driven search journeys.
• Less time spent switching between multiple tools to gather similar insights.
• Omnia became a complementary reference point for evaluating AI visibility, alongside existing analytics and SEO tools.
• Use Omnia to learn what users ask AI and shape product decisions and make sure they address their audience’s needs.
• Gained confidence to further invest in AI-driven growth.

What’s next for Okticket

• Extending AEO learnings to additional markets.
• Refining citation-focused content initiatives.
• Testing new workflows as Omnia’s product evolves.

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