Customer Stories/Healthcare SaaS

How a behavioral healthcare software provider uncovered AI visibility gaps

In Healthcare SaaS, buyers increasingly rely on AI answers to shortlist providers. Findable mapped where the brand appeared, who competed for the same questions, and which sources shaped responses.

Anonymized industry use case from an analysis run for A behavioral healthcare software provider.

Situation

Why this matters in Healthcare SaaS

In Healthcare SaaS, prospective buyers ask AI assistants for shortlists, comparisons, and trusted sources. The brands AI mentions — and the sources it cites — increasingly decide who gets considered. A Healthcare SaaS brand needed to see exactly where it appeared, where competitors won the answer, and which domains AI relied on.

What Findable analyzed

What we measured during the analysis

Only counts that exist in the underlying analysis run are shown.

10
Prompts analyzed
7
Competitors found
2107
AI source citations captured
499
Unique cited domains
4
AI platforms covered
82
Recommendations mapped

Counts are taken directly from the Findable analysis. No metric is estimated, projected, or modeled.

What Findable discovered

AI answers surfaced 7 competitors that consistently appeared alongside or instead of the brand.

Across 10 prompts, Findable captured 2107 source citations from AI engines.

Findable mapped 499 unique cited domains so the team could see which sources shape answers in their category.

Findable identified 82 prioritized recommendations to address the visibility, source, and coverage gaps it observed.

Hidden competitors

7 competitors surfaced across AI answers

Findable revealed which brands AI consistently mentioned in Healthcare SaaS answers. This let the team separate well-known incumbents from emerging challengers and see where its own brand was absent.

Source intelligence

Which sources shaped the AI answers

Findable captured every source AI cited while answering questions in this space. The cited-domain map shows which third-party publications, directories, and reference sites influence the answer — and where the brand has no presence.

2107
AI source citations captured
499
Unique cited domains

Market coverage

Where coverage was strong, weak, or missing

Findable measured how the brand was represented across the prompts that matter in Healthcare SaaS. The team could see which questions it owned, which were dominated by competitors, and which AI answered without mentioning anyone in the category at all.

Recommended actions

82 prioritized recommendations mapped

Findable produced 82 prioritized recommendations grounded in the analysis — covering visibility gaps, source gaps, and content opportunities specific to Healthcare SaaS.

What changed for the team

Process changes only — no business outcomes are claimed.

The team could see where AI mentioned competitors instead of their brand.

The team could identify which sources influenced AI answers in their category.

The team could prioritize which prompts and topics to address first.

The team could separate visibility gaps from content gaps.

Leadership had a single view of brand presence across AI engines.

Stakeholders could discuss AI visibility with shared evidence, not anecdotes.

Industry lessons

What this tells us about Healthcare SaaS

  • 1

    In Healthcare SaaS, AI answers often rely on a small set of trusted third-party sources.

  • 2

    Competitors can appear in AI answers even when the brand has stronger traditional SEO.

  • 3

    Source presence matters as much as on-site content — being cited by the right domains drives mention rate.

  • 4

    Prompt-level visibility is uneven: a brand can dominate one question and be absent on another.

  • 5

    Closing AI visibility gaps requires both content work and authority work.

Frequently asked questions

Does this story expose private customer data?

No. The page describes an anonymized industry use case. No customer name, dashboard, or private analysis is shown.

How does Findable anonymize customer stories?

We describe the customer by industry and company type only, and we use the analysis run to derive aggregate counts (prompts, competitors, citations, cited domains, recommendations). We do not publish brand names, scores tied to a brand, or screenshots.

What kind of data is used?

Only data already produced by a real Findable analysis: prompt counts, surfaced competitors, captured AI source citations, unique cited domains, and prioritized recommendations.

Can this be repeated for another industry?

Yes. The same analysis pipeline works for any brand in any industry — the surfaced competitors, cited sources, and recommendations are derived from each brand's own run.

Does Findable track competitors automatically?

Yes. Findable surfaces competitors that appear in AI answers for the prompts associated with a brand, without requiring a manually maintained competitor list.

How are source gaps identified?

Findable captures every source AI cites while answering relevant prompts, then maps the unique cited domains so teams can see where they are present and where they are not.

Does Findable claim revenue or ranking outcomes?

No. Findable measures AI visibility, competitor presence, and source influence. Business outcomes depend on each team's broader strategy and are not claimed here.

Underlying research

This customer story reflects patterns identified across:

157,594
Market observations
36,798
AI answers analyzed
175,599
Source citations analyzed

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