SEO Case Study: Increased Online Consultations 3X in 7 Months for a Telehealth Brand in Texas
In 2025, a telehealth brand serving Texas partnered with Goforaeo to increase online consultations from organic search. The brand name is anonymized due to an NDA, and the metrics below come from GA4, Google Search Console, call tracking and booking analytics, and rank tracking for the dates listed.
Snapshot of Results
Timeframe: February 20, 2025 to September 20, 2025
Location: Texas (statewide telehealth coverage)
Before vs after results:
- Online consultations (completed bookings): 72 to 218 per month (3X)
- Consultation request conversions (forms + schedule clicks): 110 to 340 per month
- Organic users: 4,200 to 10,900 per month
- Organic sessions: 5,600 to 14,800 per month
- Non branded clicks (GSC): 1,180 to 3,960 per month
- Page 1 keywords (tracked): 14 to 63
- Conversion rate (organic to consultation): 1.3% to 2.0%
Context and Starting Point
Telehealth SEO in Texas is difficult because intent varies by condition, insurance, and city level modifiers. The brand had decent traffic, but many users landed on general pages and didn’t book. Some high intent topics had no dedicated landing page, and internal linking didn’t consistently route visitors to the right consultation flow.
We focused on two outcomes at the same time: expand rankings across high intent telehealth services and reduce booking friction so more traffic turned into consultations.
Measurement Setup and Attribution
We cleaned tracking before scaling content. For telehealth, attribution breaks easily if scheduling tools or subdomains aren’t tracked properly. We ensured booking actions were recorded and de duplicated.
What we tracked as consultations
- Completed consultation bookings (primary KPI)
- Schedule button clicks and checkout start events
- Consultation request form submissions
- Assisted conversions from organic landing pages
What we set up
- GA4 event tracking for schedule clicks, booking completion, form submits
- Cross domain tracking if booking was on a separate subdomain/tool
- Search Console query segmentation by condition and “online” intent
- Rank tracking for Texas wide and city modified telehealth terms
- Looker Studio reporting with weekly annotations
- Call tracking where phone support existed
Diagnosis: What Was Limiting Consultations
The brand didn’t have a “traffic” problem as much as a “routing and trust” problem. People were interested but didn’t feel confident or didn’t reach the booking step.
Key issues found
- Pages were too general and didn’t match condition level intent
- Missing “online consultation” pages for high demand services
- Booking CTAs were not consistent above the fold on mobile
- Trust signals were scattered: licensing, clinician credibility, privacy, insurance
- Internal linking didn’t guide users from info pages to booking pages
- Titles and meta descriptions didn’t set clear expectations, hurting CTR
- Some pages loaded slowly due to scripts and heavy widgets
Strategy Overview
We used a seven month system built around intent mapping, scalable landing pages, and conversion flow improvements. The goal was not just to rank, but to make booking the natural next step.
Workstreams
- High intent telehealth landing pages by condition and service
- Supporting content clusters to build topical authority
- Internal linking system routing visitors into booking pages
- CRO improvements for booking flow and mobile clarity
- Trust and compliance signals (E E A T) integrated into pages
- Technical cleanup for indexing, speed, and schema
Landing Pages That Drove Consultation Growth
Telehealth converts when the landing page matches the condition and makes booking feel safe and simple. We created dedicated pages around the services that people in Texas search most.
Pages built or rebuilt
- Online doctor consultation in Texas (core hub)
- Condition pages for top demand categories (based on query data)
- Medication refill and follow up pages (where compliant)
- Same day telehealth appointment pages
- City modifier pages only where appropriate and non thin (major metros)
What we added to these pages
- Clear above the fold “online consult” positioning and next step
- Eligibility and “who it’s for” sections to reduce wrong traffic
- What happens during a consult and typical time to see a provider
- Trust cues near CTAs: licensing, clinician oversight, privacy, support
- FAQs pulled from Search Console queries
- Strong CTAs: schedule now, start consult, check availability
Supporting Content Clusters for Authority
We built supporting content that captured early stage intent and routed it to the correct consultation page. This expanded keyword reach and improved conversion quality.
Cluster approach
- One primary service page per condition category
- 4 to 8 supporting pages per category based on query demand
- “Symptoms and next steps” content with clear booking CTAs
- Internal links that push authority into consultation pages
Examples of supporting topics
- When telehealth is appropriate for certain symptoms
- What to prepare for an online visit
- Insurance and payment FAQs
- Prescription and follow up expectations (compliant wording)
- State licensing and provider availability guidance
Conversion Improvements That Increased Bookings
We improved the booking path so users didn’t drop off between interest and scheduling. Most conversions happened on mobile, so mobile flow was prioritized.
CRO updates
- Sticky schedule button on mobile templates
- Reduced steps between landing page and scheduling
- Shorter forms and clearer confirmation messaging
- Added “support options” for users with questions
- Improved CTA wording to match intent by page type
- Reduced page clutter and improved readability for scanning
Trust and Compliance Signals (E E A T)
For telehealth, trust is a conversion lever. We added credibility elements in a way that feels natural and compliant.
Trust improvements
- Clear physician oversight and clinician credential sections
- Privacy and HIPAA aligned messaging (without over claiming)
- Licensing and Texas coverage clarity
- Transparent process and what happens after booking
- Review and testimonial placement where allowed and compliant
- Author boxes and medical review notes for condition content
Technical SEO Improvements
Technical issues can slow indexing and hurt conversion. We focused on clean crawl paths, speed, and schema for eligibility.
Technical work completed
- Fixed duplicate URLs, canonicals, and index bloat
- Improved internal linking and crawl depth to core pages
- Improved performance by reducing heavy scripts and images
- Added schema where eligible: Organization, FAQ, MedicalWebPage
- Improved XML sitemap coverage for priority pages
Tools Used
GA4, Google Search Console, Looker Studio, call tracking, rank tracking via Semrush/Ahrefs, Screaming Frog, PageSpeed Insights and Lighthouse, Microsoft Clarity or Hotjar, Google Tag Manager, keyword clustering tools, backlink monitoring tools (Ahrefs), CRM or scheduling platform reports.
Timeline With Dates, Monthly Numbers, and Natural Notes
February 20 to February 28, 2025
We audited tracking, fixed attribution for booking events, mapped top converting queries, and planned the landing page structure. The first quick wins were CTA placement and cleaner routing to scheduling.
Month end metrics:
- Online consultations: ~72
- Organic users: ~4,200
- Non branded clicks: ~1,180
- Consult request conversions: ~110
March 2025
We launched the first set of high intent consultation pages, improved titles and meta descriptions for CTR, and started internal linking from older blogs into booking pages.
Month end metrics:
- Online consultations: ~94
- Organic users: ~5,300
- Non branded clicks: ~1,520
- Consult request conversions: ~148
April 2025
We expanded condition clusters, improved trust sections on core pages, and reduced booking friction with clearer CTAs and fewer steps.
Month end metrics:
- Online consultations: ~122
- Organic users: ~6,800
- Non branded clicks: ~2,140
- Consult request conversions: ~196
May 2025
We scaled content and internal linking, added FAQs based on live query data, and shipped speed improvements on the highest traffic templates.
Month end metrics:
- Online consultations: ~154
- Organic users: ~8,100
- Non branded clicks: ~2,780
- Consult request conversions: ~240
June 2025
We doubled down on pages nearing top positions, refined messaging for intent match, and improved mobile scheduling flow to increase completion rate.
Month end metrics:
- Online consultations: ~178
- Organic users: ~9,200
- Non branded clicks: ~3,280
- Consult request conversions: ~286
July 2025
We expanded winning categories, improved author credibility and medical review notes for key content, and tightened internal links to the highest converting pages.
Month end metrics:
- Online consultations: ~201
- Organic users: ~10,100
- Non branded clicks: ~3,720
- Consult request conversions: ~318
August 20 to September 20, 2025
We focused on stability, refreshed underperformers, improved CTAs, and maintained a consistent publishing cadence so rankings held while bookings climbed.
Month end metrics:
- Online consultations: ~218
- Organic users: ~10,900
- Non branded clicks: ~3,960
- Consult request conversions: ~340
Before and After Proof Summary
Consultations increased because landing pages matched high intent telehealth searches, internal links routed visitors into scheduling, and trust plus conversion friction improvements increased completion rate.
- Online consultations: 72 to 218 per month
- Organic users: 4,200 to 10,900 per month
- Non branded clicks: 1,180 to 3,960 per month
- Consult request conversions: 110 to 340 per month
What Made It Work
The biggest driver was aligning intent with booking. When pages clearly explained eligibility, process, and next steps, users booked more often. SEO growth expanded reach across Texas, and conversion improvements ensured that growth translated into consultations.
Disclaimer
The brand identity and identifying details are anonymized due to NDA and healthcare privacy considerations. Metrics are accurate for the timeframe stated, but results vary based on competition, seasonality, algorithm changes, and operational follow up speed.