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AI Visibility

Making RTR Sports Marketing the most cited source in AI answers about motorsport sponsorship

Project Overview

Organization

RTR Sports Marketing

Industry

Motorsport sponsorship consultancy (B2B)

Challenge

High traffic from motorsport fans but no visibility in the commercial searches and AI answers used by sponsorship decision-makers.

Scope

AEO/GEO, technical SEO, content strategy, schema and CRO

Products / Services Used

  • AEO/GEO Optimization
  • Technical SEO Audit
  • Commercial Content Rebuild
  • Schema Markup
  • Conversion Rate Optimization
  • Cluster Interlinking

RTR Sports Marketing is a premier B2B consultancy that helps global brands navigate the complex world of motorsport sponsorship (F1, MotoGP, NASCAR).

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RTR had expertise, credibility and decades of category experience. The problem was that its website was attracting the wrong audience.

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Most of the traffic came from race calendars, team sponsors and fan-focused content.

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Meanwhile, brand directors, finance leaders and procurement teams were searching for answers around sponsorship costs, series selection, ROI, contracts and agency choice. They were getting answered by someone else, including inside AI assistants.

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Mavlers rebuilt the site around those buying decisions and structured the content to be visible in both search results and AI-generated answers.

Performance Insights

Key results for the client

57.8%

AI visibility score, up from the mid-40s in May 2026

45% 

Citation share across monitored AI answers

229%

Increase in keywords appearing in AI Overviews

+22%

Ahead of conversion forecast

Client Objectives

The challenges RTR faced

1.
The site was built for fans, not buyers

Content focused on race schedules, calendars and sponsor round-ups. It generated attention, but little commercial intent.

2.
RTR was missing from high-value questions

Queries around sponsorship costs, ROI, series comparisons and agency selection were not covered clearly enough to compete in search or AI answers.

3.
Authority was not reaching commercial pages

Blog content was not consistently linked to the service pages that could convert high-intent visitors into enquiries.

4.
There was no clear conversion journey

Readers would arrive, learn something, and leave without a clear route to making an enquiry.

5.
AI assistants had little to cite

The content was not structured in a way that made it easy for ChatGPT, Gemini, Claude or Perplexity to extract and reference RTR’s expertise.

Mavlers Strategy

How we rebuilt RTR’s visibility

1.
Mapped the real sponsorship decision journey

We mapped the questions buyers ask before signing a sponsorship deal - from choosing a series and team to evaluating packages, contracts and expected returns.

2.
Rebuilt the commercial page estate

Ten priority service pages, the homepage and the “Why RTR” page were restructured around commercial intent, trust, risk, ROI and decision-maker language.

3.
Created content around buyer decisions

We reworked 22 blogs and produced 50 new outlines, each mapped to a specific step in the sponsorship funnel.

4.
Optimized content for AI citation

Pages were written with direct question-based headings, self-contained answer blocks, TL;DR summaries, defensible cost ranges and credible external references.

5.
Strengthened the technical foundation

Templatised schema was deployed across service and blog templates. Content clusters were interlinked across Formula 1, MotoGP, IndyCar, Formula E and NASCAR.

6.
Built clear routes to conversion

Commercial pages received stronger CTA placement, improved form positioning and consistent in-content enquiry paths.

7.
Timed delivery around the buying cycle

The editorial programme was published ahead of the September to December 2026 sponsorship research and shortlisting window.

Results

What RTR achieved

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RTR's AI visibility score reached 57.8%, with a 45% citation share across monitored AI answers. 

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Keywords appearing in AI Overviews jumped from 17 to 56 (a 229% increase).

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In July 2026 alone, RTR secured 15 qualified signups. Notably, 20% of these came directly through AI channels that had produced zero leads six months prior. 

The work gave RTR more than rankings. It created a scalable content and technical foundation designed to compound across future sponsorship research cycles.

Sandra Field

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