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Own the IT partner shortlist.

See which MSP AI recommends by market, industry, company size and stack. Trace the source that earned the mention, then route the proof gap to the team that can fix it.

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.

Law firm IT

Stackmere IT 4th, in 14 of 40

Local IT support

Stackmere IT 1st, in 37 of 40

Healthcare IT

Stackmere IT 2nd, in 31 of 40

Managed security

Stackmere IT 2nd, in 30 of 40

Microsoft 365 support

Stackmere IT 4th, in 21 of 40

  • Stackmere IT
  • 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
Etherwick Services

Legal practices

38of 40

Why AI picks it

  • Names supported legal toolsEtherwick Services website
  • Explains urgent supportEtherwick Services guide
ChatGPT says

“Explains support for legal document tools.”

Fix ready1 of 3
stackmere-it.test

Explain Microsoft 365 support.

Stackmere IT

Law firm support

14of 40
  • Law firm support details are missing.Stackmere IT 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

Law firm support

/law-firm-support
194 visits
194 AI visitsFixed

Law firm IT

/law-firm-it
141 visits
141 AI visits

Local IT support

/local-it-support
106 visits
106 AI visits

Healthcare IT

/healthcare-it
76 visits
76 AI visits

AI referral visits

30-day total
517 visitsFour landing pages · AI referrals

Mini bars show 30 days of AI visits.

Google Analytics attribution

The evaluation starts before the RFP.

AI compresses local fit, technical credibility, vertical proof and third-party trust into the first shortlist.

01

The shortlist

The buyer can narrow the field before your first call.

A question about industry fit, technology stack and company size can produce two or three named providers. Missing that answer means missing the evaluation, not just a website visit.

02

Proof chain

Broad service copy does not prove a fit.

Buyers look for service detail, relevant customer evidence, technical clarity and third-party corroboration. AI needs those facts to agree across the site and source network.

03

Partner truth

Vendor directories shape the answer.

Microsoft lets buyers filter partner discovery by location, organisation size, industry and need. A stale or incomplete public profile can weaken a relevant shortlist path.

04

Shared risk

Security language must explain responsibility.

CISA guidance frames MSP security as a shared commitment between provider and customer. Marketing has to stay useful without inventing coverage, controls or guarantees.

Open the full readout.

Switch views to see how Trakkr breaks down visibility for managed service providers, from the market to the work that moves it.

Stackmere IT

Read visibility by market, vertical and stack.

One roll-up shows the signal. The market rows explain where pipeline risk sits and what evidence is missing.

Stackmere Managed IT

Four market lenses · legal, healthcare and professional-services demand

Shortlist visibility
58
-1.6 points over 30 days
Citation coverage
55%
Owned and third-party evidence
Proof coverage
68%
Market, vertical, stack and source agreement

Chicago legal market

Chicago, IL · Legal · 150 to 300 staff

47

-6.7

Rank
#4
Citations
46%
Proof
62%

Service fit is visible. Industry proof and partner-profile alignment are weak.

Boston healthcare market

Boston, MA · Healthcare · 100 to 500 staff

54

+1.8

Rank
#3
Citations
58%
Proof
69%

Owned service content is visible, while healthcare evidence is fragmented.

Austin professional services

Austin, TX · Professional services · 50 to 150 staff

72

+4.3

Rank
#2
Citations
77%
Proof
84%

Local entity, service page and independent profile form a coherent source path.

Atlanta mid-market security

Atlanta, GA · Mid-market · identity and endpoint

39

-2.4

Rank
#5
Citations
38%
Proof
57%

Broad security copy is present, but source-backed responsibility and implementation proof are thin.

Attention

Chicago legal visibility fell 6.7 points. Microsoft 365 service evidence is clear, but the public partner profile uses an older URL and no approved legal case study is attached to the answer path.

Peer set: Ntiva, Dataprise, Electric, Thrive.

View 1 of 8

Keep every signal explainable.

Fixed prompts, transparent sources and a conservative truth boundary make the readout useful to marketing, sales and technical owners.

  1. 01Define the buying set

    Group prompts by service, industry, market, company size, technology stack and decision stage.

  2. 02Capture the answer

    Store the engine, prompt, answer, shortlist position and cited sources as a fixed, reviewable record.

  3. 03Resolve public truth

    Compare owned pages, vendor profiles, review directories, publishers, local records and community sources.

  4. 04Route the opportunity

    Recommend the smallest approved change to vertical proof, service detail, directory accuracy, technical education, reviews or comparison content.

Trakkr does not verify or invent certifications, partner tiers, response times, client logos, security coverage, pricing or service availability.

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 teams ask before they run a readout.

It measures whether an answer engine names, ranks and cites the MSP for a defined buying question, then shows which service, market, vertical, company-size, stack and source signals shaped that result. It is not a single brand-mention count.

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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Every question your buyers askchecked daily in eight AI models