My Therapy NYC
New York City • 6-month growth program
Specialty-led content that matched therapists to the right clients in NYC
A group therapy practice in the most competitive counseling market in the country. We built specialty and modality landing pages, earned trust signals that health-related search demands, and made the practice discoverable inside AI conversations about finding a therapist.
6-month performance
Organic users grew from 1,460 to 5,280 per month, with leads rising from 19 to 55.
Organic users, clicks & leads
Search impressions
| Month | Users | Clicks | Impressions | Leads |
|---|---|---|---|---|
| Month 1 | 1,460 | 810 | 28,900 | 19 |
| Month 2 | 1,880 | 1,070 | 44,600 | 25 |
| Month 3 | 2,510 | 1,490 | 67,300 | 32 |
| Month 4 | 3,260 | 1,960 | 94,100 | 41 |
| Month 5 | 4,120 | 2,480 | 121,800 | 48 |
| Month 6 | 5,280 | 3,090 | 153,400 | 55 |
Where they started
- Directory platforms like Psychology Today owned nearly every high-intent therapy search in NYC.
- Specialties such as anxiety, trauma, couples, and EMDR shared a single generic services page.
- Health topics demand strong experience and trust signals the site did not display.
- Prospective clients increasingly asked AI assistants how to find a therapist in NYC.
What we did
1. Specialty and modality architecture
Created dedicated pages for anxiety, depression, trauma and EMDR, couples counseling, and group therapy, each written for the client's own language and linked to matching clinicians.
2. Neighborhood and borough coverage
Built location pages for Manhattan, Brooklyn, and virtual sessions across New York State so both near-me and telehealth intent had a landing page.
3. Experience and trust signals
Published full clinician profiles with credentials, licensure, and specialties, added author attribution to every article, and implemented Physician and MedicalWebPage schema.
4. Answer-first educational content
Wrote question-led articles on therapy types, session expectations, insurance, and costs, structured so AI engines can extract clean answers and attribute them.
5. Intake conversion
Rebuilt the consultation flow with clinician matching, transparent fees, and a two-step form, reducing drop-off on mobile significantly.
Month-by-month progress
Audit, keyword mapping, tracking setup
Clear specialty demand model established
Specialty page launches
Anxiety and couples terms enter top 20
Clinician profiles + trust schema
Visible authority lift across health queries
Borough and telehealth pages
Near-me therapy rankings improve sharply
Answer-first content + GEO formatting
Cited in AI therapist-finding answers
Intake form CRO
Consultation conversion rate up 62%
The outcome
- Organic users grew from 1,460 to 5,280 per month over six months.
- Consultation requests increased 2.9x while blended cost per lead fell 46%.
- 120+ specialty and neighborhood keywords now rank on page one.
- The practice is surfaced in AI assistant answers about finding a therapist in NYC.
"Clients arrive already knowing which of our clinicians they want to see. That never happened with directory leads."
Before vs after
Other success stories
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