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Help people find the right care through accurate AI answers.

See which programmes AI recommends by level of care, condition, market and payer question. Trace each answer to the facts and sources that shaped it, then route safe, approved fixes.

See every shortlist you’re on.

Buyers ask the same thing a hundred ways, and each question gets its own picks. Track the questions that matter and see how far you are from the top.

Raleigh outpatient

Talven Care 1st, in 36 of 40

Residential care

Talven Care 1st, in 37 of 40

Treatment settings

Talven Care 2nd, in 31 of 40

Trauma-informed care

Talven Care 2nd, in 30 of 40

Raleigh outpatient

Talven Care 4th, in 14 of 40

  • Talven Care
  • Rivals
  • Your gap to first

40 AI answers per question. Height shows how many named each brand.

Explore the evidence

Give AI a reason to pick you.

Trakkr reads the pages behind every pick. When AI can’t find what it needs, Trakkr writes the fix and ships it once you approve.

  • You approve every change
  • Ships to Shopify, WordPress, Webflow and GitHub
Hollisbridge Health

Young adults

38of 40

Why AI picks it

  • Names the age rangeHollisbridge Health website
  • Lists local plan detailsHollisbridge Health guide
ChatGPT says

“Names the ages its programme serves.”

Fix ready1 of 3
talven-care.test

List outpatient ages and plans.

Talven Care

Raleigh outpatient

14of 40
  • Age and plan details are missing.Talven Care website

Follow every pick to your site.

Connect Google Analytics to see AI referral visits and landing pages. Recorded conversions depend on the events and values configured in your property.

30 days · AI referral visits

Raleigh outpatient

/raleigh-outpatient
210 visits
210 AI visitsFixed

Residential care

/residential-care
151 visits
151 AI visits

Treatment settings

/treatment-settings
113 visits
113 AI visits

Trauma-informed care

/trauma-informed-care
65 visits
65 AI visits

AI referral visits

30-day total
539 visitsFour landing pages · AI referrals

Mini bars show 30 days of AI visits.

Google Analytics attribution

One nuanced question can narrow a very large market.

AI has to resolve care type, location, payer language and fit from public information before a person reaches admissions. Wrong or vague facts create a real access risk.

20,681

eligible facilities in the 2023 federal survey release

SAMHSA 2023 release

SAMHSA collects location, service and operating information across substance use and mental health treatment facilities. The category is large, and facility types can overlap, so an answer needs more precision than a brand-level score.

  1. 01Ask

    A person combines need, care setting, location, payer and fit in one question.

  2. 02Shortlist

    The answer names a small set of programmes before an admissions conversation begins.

  3. 03Verify

    Programme pages, official records, payer directories, accreditors and local sources support or weaken the answer.

  4. 04Act

    The gap goes to admissions, clinical review, compliance, local marketing or directory operations with a clear owner.

Open the full readout.

Switch views to see how Trakkr breaks down visibility for behavioral health and addiction treatment groups, from the market to the work that moves it.

Talven Care

Keep level of care, need, market and payer context attached.

A portfolio average cannot show whether a precise care question is supported by the right programme and access facts.

Talven Behavioral Health

Four-market treatment group

Shortlist visibility
46.8
+1.7 points across the fixed prompt set
Access truth
61%
Programme, directory and contact facts aligned
Priority gaps
3
Require admissions or compliance review

Level-of-care and condition visibility

One need can produce a different shortlist at each care setting.

Visibility index

Outpatient mental health

Outpatient
76
IOP
58
Residential
29
Withdrawal
18

Connect condition pages to the correct outpatient programme and local intake route.

Young-adult co-occurring care

Outpatient
48
IOP
63
Residential
41
Withdrawal
22

Clarify age range, programme setting and clinical-review boundary without promising fit.

Trauma-informed care

Outpatient
54
IOP
46
Residential
37
Withdrawal
20

Define the approach on programme pages and support it with clinician-reviewed education.

Withdrawal management comparison

Outpatient
24
IOP
31
Residential
52
Withdrawal
69

Explain the difference between withdrawal management and ongoing treatment in plain language.

Payer and location matrix

This verifies public information paths. It does not state that a plan is accepted.

Verification states

Raleigh, NC

Young adult outpatient

Payer detailPartial
DirectoryAligned
Contact routeAligned

The page says insurance may be used, but the verification steps and plan-specific boundary are separated.

Atlanta, GA

Co-occurring IOP

Payer detailUnverified
DirectoryPartial
Contact routeAligned

AI answers repeat an old directory description that does not match the current programme name.

Nashville, TN

Adult residential

Payer detailAligned
DirectoryPartial
Contact routePartial

Payer language is clear, while the local admissions number differs between two public records.

Richmond, VA

Outpatient substance use care

Payer detailPartial
DirectoryUnverified
Contact routeAligned

The official programme page is current, but the trusted-directory path is not easy to verify.

View 1 of 5

Measure the question, answer, source and verification state.

That is the minimum useful record for improving AI discovery without presenting marketing data as clinical guidance.

  1. 01Define the care question

    Keep condition or need, care level, age group, market and payer context attached without inferring a diagnosis.

  2. 02Capture the answer

    Record whether the programme appears, the shortlist position, wording, alternatives and date for each AI engine.

  3. 03Trace the evidence

    Map each material statement to owned pages, official records, trusted directories, payer sources, accreditation sources and local context.

  4. 04Verify before action

    Route payer, accreditation, programme, clinician and access facts to the team authorised to approve them.

  5. 05Recheck the same prompt

    Measure whether the source chain and answer changed without claiming that visibility proves clinical quality or outcomes.

Trakkr does not verify clinical suitability, diagnose, publish live availability or represent payer and accreditation status as current without an authorised source check.

Every answer and figure in the examples on this page is made up to show how Trakkr works, including those for real brands. The other company names are made up too.

Questions, answered.

What behavioral health teams ask before they start.

Trakkr measures whether a programme appears for a defined care question, where it ranks, what the answer says, which sources support it and which approved fact is missing. It keeps level of care, market, payer context and check date attached.

Ask anything elseAsk anything else

The Agent answers from our docs, methods and pricing, and links to the source.

Be the pick.

Add your website and the questions your buyers ask. Track the answers, inspect the evidence and decide which changes to make.

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Check your site

Every question your buyers askchecked daily in eight AI models