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See which firms AI trusts for every role and market.

Measure the employer shortlist and the candidate path together. Then give every practice and office the public evidence behind the next action.

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.

Austin tech roles

Talquinn Search 1st, in 36 of 40

Finance leaders

Talquinn Search 1st, in 37 of 40

Healthcare temps

Talquinn Search 2nd, in 31 of 40

Startup engineers

Talquinn Search 2nd, in 30 of 40

Executive search

Talquinn Search 4th, in 21 of 40

Data engineering

Talquinn Search 4th, in 14 of 40

  • Talquinn Search
  • 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
Hirestead

Austin data hiring

38of 40

Why AI picks it

  • Names data recruitersHirestead website
  • Shows current local rolesHirestead guide
ChatGPT says

“Names recruiters who hire data engineers.”

Fix ready1 of 3
talquinn-search.test

Name the Austin data recruiters.

Talquinn Search

Data engineering

14of 40
  • Austin data recruiter profiles are missing.Talquinn Search 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

Data engineering

/data-engineering
204 visits
204 AI visitsFixed

Austin tech roles

/austin-tech-roles
150 visits
150 AI visits

Finance leaders

/finance-leaders
120 visits
120 AI visits

Healthcare temps

/healthcare-temps
62 visits
62 AI visits

AI referral visits

30-day total
536 visitsFour landing pages · AI referrals

Mini bars show 30 days of AI visits.

Google Analytics attribution

One firm competes in two discovery systems.

Employers shortlist a specialist. Candidates judge jobs, recruiters and trust. The evidence can break differently for each audience.

01

Employer discovery

The vendor list can form before procurement starts.

A hiring leader can ask for a specialist by role, sector, market and employment type, then move forward with only the firms an answer can verify.

02

Candidate discovery

The same brand faces a second shortlist.

Candidates look for relevant jobs, recruiter credibility, market focus and a clear application route. The employer view can look strong while the candidate path is stale.

03

Specialist authority

A national claim does not prove a local practice.

Technology, healthcare, finance, industrial staffing and executive search rely on different consultants, offices, job feeds, proof and professional sources.

04

Freshness

An expired job weakens more than one page.

Job feeds, office profiles, LinkedIn records and practice pages change at different speeds. Trakkr keeps the conflict attached to the answer that exposed it.

Open the full readout.

Switch views to see how Trakkr breaks down visibility for staffing and recruiting firms, from the market to the work that moves it.

Talquinn Search

See the practice behind the group score.

Move from employer and candidate visibility to the exact role, market and competitor exposing the gap.

Talquinn Search Group

Six practices · employer and candidate discovery · five US markets

Employer discovery

Strongest: Finance leadership search

Weakest: Austin data engineering

68

31 missed

Candidate discovery

Strongest: Temporary healthcare roles

Weakest: Fresh technology roles

53

46 missed

Group score
64
-1.7 points over 30 days
Source match
68%
Owned, job, professional and review sources
Practice gaps
3
Austin, Atlanta and Boston need an owner

Role and market heatmap

Visibility index across the tracked prompt set

Data engineering

Technology

Austin
38
Dallas
57
New York
69
Chicago
61
Boston
64

Next action

Build the Austin practice and consultant entity chain.

Finance leadership

Finance

Austin
54
Dallas
66
New York
84
Chicago
72
Boston
68

Next action

Extend the New York proof pattern to Boston.

Temporary clinical

Healthcare

Austin
59
Dallas
77
New York
65
Chicago
63
Boston
58

Next action

Separate employer capability from candidate assignment facts.

Industrial contract

Industrial

Austin
48
Dallas
62
New York
51
Chicago
74
Boston
45

Next action

Clarify which office and practice each public page represents.

Executive search

Leadership

Austin
46
Dallas
55
New York
73
Chicago
67
Boston
63

Next action

Complete sector and consultant proof for Boston.

Competitor matrix

Talquinn Search

Tracked
Employer
68
Candidate
53
Role coverage
64
Authority
61

Strong finance and healthcare evidence, with a clear Austin technology gap.

Harbor Street Recruiting

Employer
72
Candidate
66
Role coverage
59
Authority
69

Stronger candidate and review-source coverage.

Northfield Search Co.

Employer
63
Candidate
49
Role coverage
74
Authority
57

Broad role pages but weaker candidate discovery.

Juniper Workforce

Employer
57
Candidate
71
Role coverage
52
Authority
65

Fresh job and candidate sources but thin executive coverage.

Peer set: Robert Half, Randstad, Adecco, Insight Global.

Attention

Austin Technology fell 7.3 points. The practice page is broad, the consultant record is incomplete and the job-feed state does not agree across public surfaces.

View 1 of 6

Measure the question and preserve the public evidence.

Audience and market context stay attached from prompt selection through source tracing and practice action.

  1. 01Map both audiences

    Group prompts by employer or candidate, then by role, sector, market, employment type, search model and intended next step.

  2. 02Check each answer

    Run the same prompt context across AI engines and preserve the model, location and date.

  3. 03Resolve the practice

    Record whether the answer names the firm, right office, specialist practice and relevant consultant or job entity.

  4. 04Trace public evidence

    Capture practice pages, job feeds, professional networks, job platforms, industry directories, reviews, regulators, publishers and communities used in the answer.

  5. 05Generate owned work

    Turn a lost shortlist place into a practice, role, market, job-feed, proof, review, consultant-profile, comparison or industry-source action.

Results change by model, prompt, audience, role, market and date. Trakkr measures what an answer and public sources claim. It does not verify or invent job openings, salary ranges, placement rates, clients, candidate outcomes, accreditations, reviews or office coverage. Employers and candidates should verify current facts directly with the firm and relevant official sources.

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.

The practical questions behind staffing AI visibility.

It is the share and quality of AI answers in which the right firm, office or practice appears for a tracked employer or candidate prompt. Useful measurement keeps the audience, model, prompt, role, market, position, public sources and check date together.

Ask anything elseAsk anything else

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

Be the pick.

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