ResearchUpdated March 26, 2026

Can ChatGPT recommend therapists? What happened when I tested 10 cities.

I ran the same anxiety-therapist prompt across 10 cities to see who gets recommended, who gets ignored, and what the named practices had in common. The point is not one permanent ranking. The point is the pattern.
15 min readWritten by a therapist

What this experiment actually gives you

Start here before you commit to the longer guide.

Prompt run

10 cities

The same therapist recommendation prompt was tested across cities of different sizes in the US and Canada.

Observed set

90+ providers

Across the 10 runs, the experiment surfaced more than 90 distinct named providers and practices.

Use correctly

Pattern, not promise

The useful signal is the repeated pattern across runs, not a permanent promise that the same names will always appear.

Before you keep reading

Written by a Registered Psychotherapist in private practice. This guide is not sponsored and is not affiliated with any marketing agency. The experiment was conducted in February 2026 using ChatGPT with web browsing enabled.

Quick Answer

Yes. When asked to recommend a therapist in a specific city, ChatGPT with web browsing lists 3 to 5 named providers with explanations. The recommended therapists consistently share certain traits: strong websites with specialty pages and presence across multiple directories. Therapists with only a Psychology Today profile are rarely mentioned.

What we reviewed

What this experiment was checked against

Refreshed March 26, 2026 using the current Reframe AI-visibility cluster, the published sources listed in the trust panel, and the original February 2026 10-city prompt run documented on this page.

This page reports a real prompt experiment, but ChatGPT results are unstable by nature. The useful signal is the pattern across runs and cities, not a permanent ranking.

Observed patterns are separated from harder platform facts. When a claim is directional rather than official, this page now treats it that way.

Why Trust This Guide

A 10-city experiment paired with published AI recommendation research

This page combines a fresh February 2026 therapist-recommendation test in ChatGPT with published research on which web signals AI systems appear to weight most heavily.

Weekly Users

900M

OpenAI said on March 5, 2026 that ChatGPT now reaches 900 million weekly users.

List Mentions

41% influence

Published recommendation analysis found authoritative list mentions were the strongest brand recommendation signal.

Review Signals

16% influence

Review coverage remained one of the clearest inputs behind who gets recommended.

Sources And Method

OpenAI: 900 million weekly users

OpenAI states that ChatGPT reaches 900 million weekly users as of March 5, 2026.

Onely: How ChatGPT decides which brands to recommend

Onely published brand-recommendation research showing the weight of list mentions, reviews, and authority signals.

The names in this guide are observations from public search results, not endorsements. The useful signal is the pattern across cities, not a permanent ranking.

The experiment

The setup was simple. I asked ChatGPT (GPT-4, web browsing enabled) the same prompt in 10 different cities:

"Recommend a therapist for anxiety in [city]. I want someone who specializes in anxiety and is taking new clients."

I chose 10 cities of varying sizes across the US and Canada to see if patterns hold regardless of market:

Austin
Denver
Toronto
Portland
Nashville
Chicago
Boise
Atlanta
San Diego
Raleigh

Methodology notes

Each search was conducted in a fresh ChatGPT conversation (no prior context)

Web browsing was enabled (the default for ChatGPT Plus and free users with search)

I recorded the first response without follow-up prompts

I then looked up each recommended provider to document their web presence

Searches were run over two days in February 2026

Important caveat: ChatGPT's recommendations change over time and vary based on conversation context. This is a snapshot, not a definitive ranking. Your results will differ if you run the same experiment tomorrow. The value is in the patterns, not the specific names.

What ChatGPT recommended in each city

Quick Answer

ChatGPT typically recommends 6 to 15 therapists or practices per city, organized into categories. It pulls from practice websites, Google Business Profiles, therapist directories like GoodTherapy and Zencare, and review sites. Practices with the word 'anxiety' in their name or domain appear in almost every city's results.

Across all 10 cities, ChatGPT recommended over 90 distinct providers. It gave far more recommendations than expected. Here is what it returned in each city:

CityProviders"Anxiety" in nameHad own websiteDirectories cited
Austin62 (ATCA, Central TX Anxiety)6/6Zencare, PT
Denver13010/13Westside Behavioral
Toronto12010/12Theralist, OntarioTherapists
Portland93 (Portland Anxiety Clinic, Portland OCD & Anxiety, Portland Anxiety Counseling)8/9GoodTherapy, Zencare, SonderMind
Nashville112 (Nashville OCD & Anxiety, Nashville Anxiety & Performance)9/11GoodTherapy, Sofia Health, PT
Chicago81 (Calm Anxiety CBT Clinic)8/8Charlie Health
Boise161 (K-Counseling & Anxiety Treatment)12/16GoodTherapy, Recovery Ways
Atlanta41 (Anxiety Specialists of Atlanta)4/4GoodTherapy, SonderMind, PT
San Diego807/8GoodTherapy, Grow Therapy
Raleigh71 (Light For Your Path, Anxiety & Mental Health)7/7PT, Nourish Carolina

Practice names are included because they are publicly visible businesses. This is observational, not an endorsement of any specific provider.

What the recommendations looked like

In every city, ChatGPT organized its response into structured categories. Not a flat list. It separated "Highly Rated" from "Specialized Anxiety-Focused" from "Additional Options." For each recommended therapist, it included:

The practice or therapist name, bolded, with a short description

Why it was recommending them specifically for anxiety

Direct links to their website with ?utm_source=chatgpt.com tracking appended

References to the directories it pulled from (GoodTherapy, Zencare, PT, etc.)

A "Tips for Choosing a Therapist" section at the end of every response

An offer to narrow by insurance, telehealth, or therapy style

Two details stood out. First, ChatGPT appended ?utm_source=chatgpt.com to every link it provided. This means if you check your website analytics, you can see exactly how much traffic ChatGPT is sending you right now. Most therapists have never checked this.

Second, ChatGPT treated this as a conversation, not a search. Every response ended with: "Would you like me to narrow these down based on your insurance, budget, or whether you prefer in-person vs. virtual therapy?" It is actively trying to match clients to therapists, not just listing options.

The shift: A Google result says "here are your options." ChatGPT says "here is who I recommend, and here is why. Want me to help you narrow it down?" That is a fundamentally different discovery model. The user does not browse. They follow the recommendation.

Why this shift is worth paying attention to

This is not a niche trend. The strongest stable signal is simple: ChatGPT already has a massive weekly audience, and the referral experience is different from a traditional search result.

900M

weekly ChatGPT users reported by OpenAI on March 5, 2026

Source: OpenAI

Direct

the product is a recommendation with reasoning, not a page of links

Observed in every city prompt run

Live

browsing means current websites and listings can affect what gets surfaced

Observed in browsed queries, not just model memory

Cross-check

users can keep narrowing by fit, insurance, and modality inside the same conversation

Observed in every city prompt run

The conversion story may end up being strong, but the safer point is this: recommendation-driven search compresses browsing, comparison, and narrowing into one conversation. That changes which therapists get attention first.

Meanwhile, the rest of this site's visibility cluster is already showing the same directional shift: more therapists report weaker directory dependence and more clients are starting with recommendation-style search. You do not need a dramatic forecast to act on that. You just need to see where the discovery pattern is going.

The 7 things recommended therapists had in common

Quick Answer

Across 90+ recommended providers in 10 cities, the strongest predictors were: having the searched condition in the practice name or domain, a dedicated website with specialty pages, presence on directories ChatGPT reads (GoodTherapy, Zencare, Psychology Today), dedicated /anxiety or /anxiety-therapy URLs, and evidence-based approaches like CBT explicitly mentioned on their site.

After documenting every recommended provider across all 10 cities and reviewing their online presence, clear patterns emerged. These align with larger studies on what drives AI recommendations.

According to research by Onely, the weight of AI recommendation factors breaks down roughly as: being mentioned across reputable sites (41%), reviews and ratings (16%), specific client examples (14%), and brand mentions elsewhere on the web (11%). A separate Ahrefs study of 75,000 brands found that web mentions correlate 3x more strongly with AI visibility than backlinks do.

Here are the seven specific patterns from our experiment:

1

The practices with "anxiety" in their name dominated

This was the single most striking pattern. In 8 out of 10 cities, a practice with "anxiety" literally in its name appeared in the top recommendations: Anxiety Treatment Center of Austin, Portland Anxiety Clinic, Calm Anxiety CBT Therapy Clinic (Chicago), Nashville Anxiety and Performance Counseling, Anxiety Specialists of Atlanta.

The keyword domain effect was equally visible. The providers ChatGPT linked to directly had URLs like anxietyaustin.com, nashvilleanxiety.com, anxietytherapistchicago.com, and portlandanxietycounseling.com. Having the searched condition in your domain name appears to be a strong AI signal.

This does not mean you need to rename your practice. But it does mean that having a dedicated page with a clear URL like yourpractice.com/anxiety-therapy is likely more impactful than you think.

2

They all had a real website

Over 85% of recommended providers had their own website. Not a Wix one-pager. Not just a Psychology Today profile. A real site with multiple pages, content about their approach, and clear contact information.

The exceptions were a handful of providers that ChatGPT found through directory aggregation rather than direct websites. But the providers it featured most prominently and linked to directly all had their own sites.

3

They had dedicated specialty pages

The majority of recommended providers had a specific page on their website about anxiety. Not a bullet point in a list of specialties. A full page describing their approach to anxiety treatment, who they help, and what therapy looks like. Many had URLs like /anxiety-therapy, /therapy-for-anxiety, or /specialties/anxiety.

This makes sense. ChatGPT is looking for content that matches the query. A page titled "Anxiety Therapy in Austin" with 500 words of relevant content is much easier for AI to match than a generic "About Me" page that mentions anxiety in a list of 15 specialties.

4

ChatGPT read specific directories (not just Google)

This was a surprise. ChatGPT did not just search Google and return the top results. It pulled from specific therapist directories and cited them by name. The directories it referenced most frequently across all 10 cities:

GoodTherapy (appeared in 6 out of 10 cities)

Psychology Today (appeared in 5 out of 10)

Zencare (appeared in 3 out of 10)

SonderMind (appeared in 3 out of 10)

Grow Therapy (appeared in 2 out of 10)

Local/regional directories: Theralist (Toronto), OntarioTherapists, Nourish Carolina, Sofia Health, Recovery Ways

If you are listed on GoodTherapy and Psychology Today but not on Zencare or SonderMind, you are missing surfaces where ChatGPT is looking. Being on multiple directories does not just help with traditional SEO. It gives AI more sources to cross-reference.

5

They mentioned evidence-based approaches by name

ChatGPT consistently highlighted providers who named their modality. "Evidence-based approaches like CBT" appeared in the response for every single city. Practices that explicitly mentioned CBT, ACT, EMDR, DBT, or mindfulness-based approaches on their websites were described in more detail than those that did not.

This makes sense. When a client asks for help with anxiety, ChatGPT is looking for signals of credibility. Naming a specific, researched approach ("We use CBT and exposure therapy for anxiety") is a stronger signal than "I help people with anxiety."

6

Group practices appeared more than solo therapists

In 9 out of 10 cities, the majority of recommendations were group practices or counseling centers, not solo practitioners. The solo therapists who did appear (like Julie Hsu in Austin or Sara Morgan in Austin) all had something the groups had: a well-structured website with dedicated specialty content.

Group practices have a natural advantage. They have more content, more reviews, and more directory listings simply because they have more clinicians. But solo practitioners can level the field by building a site with the same depth of content on their specialties.

7

Smaller cities got more recommendations, not fewer

Boise (population ~230,000) got 16 recommendations. Atlanta (population ~500,000) got 4. This was counterintuitive. The explanation: in smaller markets with fewer therapists, ChatGPT had to search harder and ended up listing more options. In larger markets with more competition, it was more selective.

If you practice in a smaller city, you have a genuine advantage. There is less competition for AI visibility, and ChatGPT is more likely to find and recommend you even with a modest web presence.

The summary: The recommended therapists were not doing anything exotic. They had a website with dedicated specialty pages, they were on the right directories, and they named their modality. Practices with the condition in their name had an outsized advantage. The bar is not high. It is just that most therapists have not reached it.

Who ChatGPT ignores

Equally telling is who did not get recommended. In a city like Chicago with over 10,000 licensed therapists, ChatGPT mentioned 8. In Atlanta, just 4. Here are the profiles it consistently skipped:

Therapists with only a Psychology Today profile

If your entire online presence is a PT profile, ChatGPT has very little to work with. PT profiles are structured but generic. They all look the same to an AI. There is not enough unique, parseable content for a confident recommendation.

One-page websites with no substantive content

A Squarespace template with your photo, a paragraph about you, and a contact form is not enough content for AI to understand your practice. There is nothing to extract, nothing to match against a query.

Therapists with a thin public footprint

When the public footprint is thin, AI has less to work with. A complete website, a filled-out Google Business Profile, and consistent directory details give it more to reference when explaining why it recommends you.

Therapists who list 15+ specialties with no depth on any

A profile that says "I specialize in anxiety, depression, trauma, PTSD, OCD, ADHD, couples, families, teens, grief, anger, self-esteem, life transitions, and stress" does not signal expertise in anything. ChatGPT reads that as "generalist" and looks for someone more clearly specialized.

Therapists on platforms like Rula or Alma without individual presence

Platform therapists who appear only as a profile within a larger company directory are rarely recommended individually. The platform itself might get mentioned, but the individual therapist does not.

The uncomfortable truth: In a city with 10,000 licensed therapists, ChatGPT recommends 8. That is 0.08%. The other 9,992 do not exist as far as AI search is concerned. This is not fair, and it does not correlate with clinical competence. But it is the reality of how an increasing number of clients are finding therapists.

Free: ChatGPT Therapist Search Checklist

A 12-point checklist to evaluate whether AI tools can find and recommend your practice. Covers website structure, reviews, directory listings, and content optimization. Takes 20 minutes.

Free download. No spam. Unsubscribe anytime.

What you can do about it (this weekend)

Based on the patterns from this experiment, here are the highest-impact actions you can take. They are listed in order of effort, starting with what you can do today.

Run the experiment on yourself (15 minutes)

Open ChatGPT and ask: "Recommend a therapist for [your main specialty] in [your city]." See if you appear. Then ask about your specific niche. Then search for a competitor's specialty. Take notes on who gets recommended and what they have that you do not.

This alone will tell you exactly where you stand. Most therapists have never done this.

Create specialty pages on your website (2 to 4 hours)

For each condition you treat, create a dedicated page. Not a bullet point. A full page with a clear heading ("Anxiety Therapy in [Your City]"), 300 to 500 words about your approach, who you typically help, what the first session looks like, and a clear way to contact you.

Write it in your voice. Describe what you actually do with anxious clients. The specificity is what makes AI (and humans) trust the content.

Keep the page current enough that it still reflects your actual work. Even small updates such as availability changes, new FAQs, or cleaner specialty language can help the page stay useful to both people and crawlers.

Add FAQ sections to your site (1 to 2 hours)

FAQ sections are the easiest content for AI to parse. Write 5 to 8 questions your clients actually ask, and answer them in 2 to 3 sentences each. "How long does therapy take?" "Do you accept insurance?" "What is your approach to anxiety?" "How do I know if therapy is right for me?"

Put FAQ sections on your homepage, your specialty pages, and your about page. This structured Q&A format is easier for both people and AI systems to parse than generic marketing copy. Clear headings, direct answers, and consistent specialty language do more work than clever phrasing.

Tighten your public trust layer (ongoing)

Make sure your Google Business Profile is complete, your directory listings match your website, and your specialty language is consistent across every place a client might check. Most therapists have more to gain from cleaning this up than from chasing one more public signal.

If there are already public reviews out there, audit them for accuracy and note whether there is anything that should be reported through the platform rather than answered impulsively.

Audit your directory listings for consistency (30 minutes)

Google your practice name and check every listing that appears. Is the phone number correct? The address? Your specialties? Make sure your name, address, and phone number are identical everywhere. Update any outdated listings.

If you want to take this further, we have a more detailed guide on how clients are finding therapists in 2026 that covers the full 5-step Practice Visibility Assessment.

Limitations of this experiment

This experiment has real limitations, and it would be irresponsible not to name them:

ChatGPT results are not stable.

Running the same prompt twice can produce different recommendations. The patterns are consistent, but the specific providers change. Do not treat any single result as definitive.

Web presence does not equal clinical competence.

The best therapist in your city might have no website and zero reviews. Being recommended by ChatGPT does not mean someone is a good therapist. It means they are visible to AI. These are different things.

This is a single query type.

I only tested "anxiety therapist in [city]." Results for trauma, couples therapy, child therapy, or other specialties may show different patterns. Anxiety is one of the most commonly searched conditions, but it does not represent the full picture.

Google rankings and ChatGPT recommendations are not the same thing.

Google rankings and ChatGPT recommendations overlap, but they are not the same thing. Strong traditional SEO still helps, but recommendation systems also care about how clearly your public footprint explains why you fit a specific query.

This could change tomorrow.

OpenAI updates ChatGPT's search behavior regularly. The factors that influence recommendations today may shift as the product evolves. What looks more durable is the broader trend toward AI-mediated discovery.

The ethical question: Should AI be recommending therapists based on web presence? That is a legitimate concern. Web presence is not a proxy for clinical skill. But the same critique applies to Psychology Today rankings, Google search results, and even word-of-mouth referrals. No discovery mechanism evaluates clinical competence directly. The question is not whether AI search is perfect. The question is whether you want to be visible in the channel where a growing number of clients are looking.

Frequently asked questions

Does ChatGPT recommend specific therapists by name?

+

Yes. When web browsing is enabled, ChatGPT recommends specific therapists and practices by name, typically listing 3 to 5 providers with explanations for each recommendation. Without browsing, it provides general guidance on how to find a therapist.

What makes ChatGPT recommend one therapist over another?

+

Based on this experiment and published research (Onely, 2025), the key factors are: being mentioned across multiple reputable sites, having broader brand mentions on the web, and having a well-structured website with clear specialty pages and FAQ sections.

How many people are using ChatGPT to find therapists?

+

OpenAI said on March 5, 2026 that ChatGPT reaches 900 million weekly users. There is no precise public figure for therapist-discovery queries, but therapists are increasingly reporting clients who found them through ChatGPT.

Can I pay to get recommended by ChatGPT?

+

No. As of early 2026, there is no paid placement within ChatGPT recommendations. Recommendations are based on organic web presence factors. This may change as OpenAI explores monetization, but for now it is entirely organic.

Does ChatGPT read my Psychology Today profile?

+

ChatGPT can access PT pages when browsing is enabled, but it weighs your own website and multi-site presence more heavily than any single directory profile. Therapists with only a PT profile are rarely recommended.

How do I get my practice recommended by ChatGPT?

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Build a website with dedicated specialty pages and FAQ sections. Be listed consistently across multiple directories. Write helpful content in your area of expertise. Keep your NAP consistent everywhere. Tighten the parts of your public profile you directly control first.

Is it ethical for AI to recommend therapists?

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This is an active debate. The concern is that AI recommendations are based on web presence rather than clinical competence. However, the same critique applies to every other discovery mechanism. The key ethical issue is transparency about how recommendations are generated.

How often does ChatGPT's therapist recommendation data get updated?

+

The web browsing feature reads live information, so your website and directories are accessed in real time. Training data has a cutoff, but for therapist recommendations, the browsing feature matters more. Improving your web presence takes effect immediately for browsed queries.

Should a therapist use a website or just directory listings for AI recommendations?

+

Both, but your own website carries more weight. Directory listings provide citations, but AI weights your website higher because it contains richer, more specific content. Therapists with only directory listings and no website are rarely recommended for specialty-specific queries.

Will OpenAI build a formal therapist directory?

+

There has been reporting about more formal therapist referral capabilities, but not enough public detail to build a strategy around it yet. The safer assumption is that AI-based therapist discovery will keep getting more structured over time.

AI Visibility Cluster

Start here if you want to understand AI therapist recommendations

This research guide is the hub for the AI-visibility cluster. Use the supporting guides below to connect the recommendation patterns to broader client-search behavior, your search presence, and the SEO foundations that make those recommendations possible.

Related guides

Find out if ChatGPT recommends your practice.

Submit your website for a Practice Visibility Assessment of how your practice shows up in AI search, Google, and the places clients actually look. No sales pitch, just data.

Built by a Registered Psychotherapist