Case Study: Speech Therapy

Consistent Patient Inquiries
& Local Visibility

How a speech therapy clinic improved local visibility and secured a consistent flow of patient inquiries through condition-based Local SEO.

Executive Summary

A speech therapy healthcare provider was experiencing inconsistent patient inquiries despite strong clinical outcomes. While demand existed, visibility for non-brand, location-based searches was limited—causing families to discover alternative providers.

We partnered with the clinic to refine its Local SEO strategy, focusing on condition-level relevance, local discoverability, and inquiry readiness. The objective was to improve visibility for high-intent searches and enable a steady flow of qualified appointment requests.

The engagement resulted in stronger local search presence, higher-intent inquiries, and clearer attribution of Local SEO performance.

Company Background

  • Industry

    Healthcare (Speech Therapy)

  • Market

    Local / Regional

  • Model

    Clinic-led therapy sessions

  • Audience

    Parents, Caregivers, Adults

Fragmented Discovery System (Before)

Prior to engagement, organic discovery relied heavily on referrals, not search.

Invisible Conditions

Clinic did not appear for searches tied to specific conditions like "apraxia" or "stuttering".

Weak Pages

Service pages were not aligned with how patients and caregivers searched locally.

Poor Local Signals

Listings consistency and map rankings were weak across the region.

Unclear ROI

Contribution of organic search to appointment requests was unknown.

“Demand existed, but families were finding other providers first.”

Our Philosophy

Caregivers search for clarity, not complexity. Healthcare growth depends on being visible and trustworthy at the exact moment of need.

Our Approach

A three-phase execution model for healthcare.

Phase 01

Diagnose

Growth System Diagnosis

  • Condition Audit: Reviewed intent alignment for therapy pages.
  • Search Intent: Mapped searches by age, condition, & care stage.
  • Local Visibility: Assessed map rankings & citations.
  • Attribution Audit: Validated tracking for appointments.
Phase 02

Optimize

Patient Discovery Enablement

  • Service Page Opt: Aligned pages with high-intent local searches.
  • Signal Alignment: Consistent listings & on-site local data.
  • Internal Linking: Connected conditions to booking pathways.
  • Caregiver Clarity: Enhanced content for trust and simplicity.
Phase 03

Scale

Optimization & Expansion

  • Condition Expansion: Scaled SEO to new therapy needs.
  • Ongoing Optimization: Refined based on engagement signals.
  • Non-Brand Growth: Captured demand beyond brand name.
  • Inquiry Stability: Enabled consistent appointment flow.

AI in Healthcare SEO

AI-supported insights improved SEO efficiency while patient communication remained human-reviewed for accuracy and sensitivity.

Accelerated SEO analysis
Patient intent classification
Performance monitoring
Faster optimization cycles

Outcomes

Measured at the System Level.

Stronger Visibility

Dominant presence for speech therapy-related searches.

Higher Intent

Traffic reflected caregivers ready to book consultations.

Consistent Volume

Inquiry volume stabilized across all therapy services.

Clear Attribution

Leadership gained visibility into patient acquisition channels.

Why the Results Lasted

  • Condition-level intent alignment
  • Local SEO consistency
  • Clean inquiry attribution
  • Ongoing optimization cadence

Leadership Takeaways

  • Caregivers search for clarity, not complexity.
  • Condition visibility drives qualified inquiries.
  • Local SEO compounds over time.

Facing a Similar Growth Challenge?

If your healthcare practice is investing in Local SEO but struggling with consistent patient inquiries or local visibility, the issue may be alignment—not effort.