Pet Insurance AI Search Case Study

Results at a Glance

In just 3 days, with only 25 engagements, this campaign generated an estimated $362,569.07 in total estimated monthly branded value. That included $53,080 in organic keyword value and $309,488.28 in LLM-cited pages value.

$362,569.07 estimated monthly branded value

This was the total estimated monthly branded value generated by the campaign.

$53,080 in organic keyword value

This was the estimated value attributed to tracked organic keyword visibility.

$309,488.28 in LLM-cited pages value

This was the estimated value attributed to LLM-cited pages.

3 days with 25 engagements

The campaign delivered these results in just 3 days using only 25 engagements.

113 high-value keywords in Google’s top 10

The brand ranked in Google’s top 10 for 113 high-value keywords.

185 total keywords gained visibility

The brand gained visibility across 185 total keywords.

6 average ranking position

This was the average ranking position across the tracked set.

23 high-authority citation opportunities activated

The pilot activated 23 high-authority citation opportunities.

What Changed in the Market

Pet insurance discovery no longer happens in one place. Buyers still use Google for searches such as “best pet insurance,” vet-cost questions, and breed- or condition-related coverage research. But those searches are only one part of the decision process.

Before choosing a provider, many pet owners also validate options through public discussions, educational creator content, and third-party review platforms. At the same time, AI systems are increasingly generating recommendations from those same sources. That means a brand can have solid search performance and still miss high-intent recommendation visibility if it is not well represented in the public environments shaping both buyer perception and AI answers.

In this category, trust is not a bonus. It is central to conversion. Buyers want proof points that feel independent, credible, and easy to evaluate before they commit to a policy.

What the Brand Needed

The brand did not just need broader awareness. It needed stronger performance in the sources that influence decision-making.

Research Visibility

Appearing more often when pet owners explored pet insurance, vet costs, coverage options, and provider comparisons.

Citation Presence

Strengthening the brand’s representation in the public pages and discussions AI systems use when generating summaries and recommendations.

Competitive Consideration

Increasing visibility in the environments where buyers actively compare providers and decide which brands feel most credible.

What We Did

This campaign was built around focusing a small number of deliberate engagements on the public sources most likely to influence both buyer evaluation and AI-generated recommendations.

Concentrated Effort on High-Impact Evaluation Surfaces

We identified the search and public-discussion environments most likely to shape how pet owners evaluate insurance options, especially around coverage decisions, provider comparisons, and vet-cost concerns. That allowed the campaign to prioritize the moments where visibility could influence action fastest.

Improved Brand Presence in Trust-Led Third-Party Environments

We strengthened how the brand appeared across the sources buyers rely on for validation, including public discussions, creator-led pet education, and review-driven platforms. This improved the consistency of the brand’s presence in the places where recommendations are often formed.

Verified Performance Through Measurable Visibility Signals

We tracked keyword movement, citation opportunity activation, and visibility across AI-relevant source environments to confirm that the campaign was producing real commercial discovery gains rather than just surface-level exposure.

The Outcome

The campaign gave the brand a broader and more commercially useful visibility footprint across both search and AI-influenced discovery. As the brand gained a stronger presence in trusted public discussions, creator-led education, and third-party review surfaces, it improved how it showed up during the comparison stage of the buyer journey.

• 113 high-value keywords ranking in Google’s top 10
• 185 total keywords where the brand appeared
• 6 average ranking position across the tracked set
• 23 high-authority citation opportunities activated