Parkwood Clinic
How RxMedia leveraged AI search optimization (GEO/AEO) to get Parkwood cited across ChatGPT, Perplexity, and Google AI Overviews for high-intent pediatric therapy queries.
Parkwood Clinic: pediatric speech, language & feeding.
- Client
- Parkwood Clinic
- Vertical
- Speech Therapy (pediatric)
- Location
- Portland, OR + statewide teletherapy
- Service
- AI SEO (GEO / AEO)
- Timeline
- Feb – June 2026
Parkwood Clinic is a top-rated pediatric speech, language, and feeding therapy center based in Portland, Oregon. With two clinic locations and statewide teletherapy, Parkwood specializes in goal-driven, data-based treatment tailored to each child's needs.
Their team covers fluency and stuttering therapy, orofacial myofunctional therapy, early intervention and parent training, feeding therapy, and AAC — the full pediatric range, delivered by credentialed clinicians.
Patients started asking AI before they searched Google.
By early 2026, a measurable share of Parkwood's prospective parents were asking ChatGPT and Perplexity questions like “best pediatric speech therapist in Portland for late talkers” or “feeding therapy clinic near me that accepts BCBS.” The AI engines answered with specific recommendations — citing 3–5 practices per response. Parkwood was not one of them.
The problem wasn't ranking. Parkwood's traditional SEO was strong — #1 for “speech therapy” and “pediatric speech therapy” in Portland. The problem was that AI engines were intercepting the search journey before users ever saw the Google results page. Without explicit AI-search visibility, a strong organic-SEO investment was being silently bypassed for an increasing share of high-intent searches.
Parkwood asked RxMedia: how do we get cited by AI when patients ask about us — and how do we measure whether it's working?
- Get Parkwood cited in AI engine responses — ChatGPT, Perplexity, Google AI Overviews — for high-intent pediatric therapy queries in Portland and the surrounding area.
- Implement schema and content structure that AI engines treat as authoritative — without sacrificing traditional SEO performance.
- Build measurement so Parkwood can see AI-referred traffic and inquiries as a distinct channel, separate from organic search.
- Establish E-E-A-T signals strong enough to clear Google's YMYL scrutiny on AI-generated answers for pediatric healthcare.
Six workstreams, one playbook.
We applied RxMedia's behavioral-health AI SEO playbook to Parkwood across six concrete workstreams. Each one targeted a specific signal AI engines actually weight when generating cited answers.
Restructured high-intent pages for LLM extraction
Rewrote the top 12 service pages to lead with direct, answer-first paragraphs. The first 2–3 sentences under each heading now answer it directly — exactly the content LLMs pull as citations. No agency-speak preamble, no scrolling to find the answer.
Explore service 02Implemented healthcare-specific schema markup
Added MedicalCondition, MedicalProcedure, FAQPage, and Person (clinician) schema across all service and clinician pages, plus MedicalBusiness schema sitewide with proper geo coordinates and service areas. AI engines use structured data to understand what pages mean.
Explore service 03Built clinician-led pages with verified E-E-A-T signals
Every clinician page now carries credentials (CCC-SLP, M.S., certifications), years of experience, knowsAbout schema fields, and a bio in the clinician's voice. For YMYL content, AI engines lean disproportionately on verified-author signals when deciding who to cite.
Explore service 04Established pillar + cluster topical architecture
Restructured the content map around four pillars — speech, language, feeding, AAC — with cluster articles on specific conditions, age groups, and parent concerns. Topical depth is one of the strongest signals AI engines use to identify subject-matter authority.
Explore service 05Built Parkwood's entity presence outside the site
Verified Parkwood across the structured-data sources AI engines actually pull from — Google's Knowledge Graph via consistent NAP and entity markup, weighted healthcare directories, and professional-association clinician profiles. Off-site entity recognition matters as much as on-site work.
Explore service 06Set up AI Overview + citation monitoring
Built monitoring for which queries trigger Google AI Overviews and ChatGPT responses in Parkwood's space, and who gets cited in each. Monthly reporting tracks citation rate per query category, so we iterate on what's working and what isn't.
Explore serviceFrom zero AI visibility to a cited authority.
Measured over the first 4–5 months following AI SEO program launch (Feb → June 2026).
Timeline · Feb 2026 → June 2026 (first 4–5 months)
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