Production proof
At least $50.0M in public sales-volume proof or 50+ verified transaction sides in the latest available ranking year for strict featured consideration.
Editorial Standards
How the Index protects consumer trust while ranking real estate agents and teams.
Real Estate Agent AI Index is published by Real Estate Agent AI Index Research Desk as an independent consumer research layer. The publication is designed to compare public proof, review footprint, production evidence, source quality, and AI visibility without selling ranking placement.
Publication Boundary
Ranking placement cannot be purchased.
Ranking placement cannot be purchased. Factual corrections may be reviewed, and model calibration may evolve as AI search behavior changes. Candidate-specific scoring changes require source-backed evidence and documented trust-gate updates.
Operating Standards
What the research desk must protect.
| Standard | Policy |
|---|---|
| Independent publication first | The Index is built as a consumer research publication. Ranking placement cannot be purchased, and featured placement requires public proof rather than sales relationship status. |
| Coverage before endorsement | Source-backed directory rows create broad market coverage. Featured rankings are a stricter editorial layer for candidates with stronger proof and AI-visibility evidence. |
| Source-backed corrections | Corrections should include public source links. Candidate-specific score changes require source-backed evidence and documented trust-gate updates. |
| No copied review content | Do not copy review text, rating snippets, or portal profile content unless source terms permit it; use source links and aggregate proof labels instead. |
| Consumer interview list, not fiduciary advice | The Index helps consumers build a better shortlist. It does not replace interviews, fee review, license checks, fiduciary judgment, or personal fit. |
| Monetization boundary | Future referral or lead-capture products must stay separate from ranking placement. Commercial relationships cannot buy rank, badges, or favorable scoring. |
Inclusion Gates
Minimum public proof for consumer-facing coverage.
Review footprint
At least 25 public reviews before a candidate appears in stricter featured ranking context.
Identity clarity
Active license and unambiguous individual/team/brokerage identity before public launch.
Correction Process
How factual corrections should be handled.
Candidates, consumers, and brokerages should be able to submit factual corrections with public source links before broader launch.
- Identify the page, market, candidate name, and field believed to be inaccurate.
- Provide a public source URL that supports the correction.
- Separate factual corrections from requests for higher rank or promotional language.
- Allow the research desk to update source fields, confidence notes, and score calibration only when evidence supports the change.
Consumer Limitations
What this publication does not claim.
Not a universal best-agent claim
A higher score means stronger public evidence inside this model. It does not prove the candidate is the best fit for every buyer or seller.
Not a disciplinary or fee review
Consumers should still verify license status, disciplinary history, fee terms, service scope, and who will personally handle the work.
Not a substitute for interviews
The goal is to build a smarter interview list, then ask candidates to connect their claims to recent, relevant proof.
Not pay-to-play
Lead capture or referral monetization may be explored later, but ranking placement, proof gates, and score calibration must remain evidence-led.