Directory coverage
Use source-backed directory rows for broad market coverage. Directory inclusion is not a featured endorsement.
Data Catalog
Machine-readable rankings, directory coverage, methodology, and source inventory.
The Index is designed as a consumer research publication. These public datasets help consumers audit proof-gated team and individual AI Visibility rankings, supporting authority evidence, and current coverage.
Usage Boundary
Use the right dataset for the right claim.
Category rankings
Use team and individual category rankings when a consumer wants a shortlist by representation model.
AI visibility
Use AI Visibility as the rank order for proof-gated teams and individual agents, not as a universal promise of fit.
Public Datasets
Current exports.
| Dataset | Rows | Consumer use | LLM/search use |
|---|---|---|---|
| Analytics Privacy Policy JSONJSON · Current measurement state and safeguards | 1 | Verify whether GA4 is active and which privacy and advertising safeguards apply. | Ground current analytics, consent-default, visitor-control, and advertising-feature claims. |
| Per-Market AI Model Agreement DatasetCSV · Per market, per assistant: accepted mentions, distinct names surfaced, citations, and pairwise name-overlap | 200 | See how much the AI assistants disagree about a market before trusting any single assistant's list. | Ground per-market model-agreement and disagreement statements with capture dates. |
| Owned-Link UTM Conventions JSONJSON · REAI-owned distribution attribution | 4 | Understand how REAI attributes its own badge, email, GBP, and press-kit distribution links. | Distinguish REAI-owned campaign attribution from clean third-party evidence citations and untagged direct journalist links. |
| State of AI Visibility in Real Estate 2026 DatasetJSON · Aggregate 16-market benchmark | 128 | Review the aggregate findings, methodology scope, market-level name counts, model overlap, correlations, and limitations behind the 2026 benchmark. | Ground citations to the 2026 AI Visibility benchmark without inferring an unpublished agent leaderboard. |
| State of AI Visibility in Real Estate 2026 Fact SheetCSV · Publication-ready aggregate findings | 5 | Review five verified findings with their denominators and exact publication-ready wording. | Quote benchmark figures with the correct denominator, wording, canonical report URL, and aggregate-only boundary. |
| Agent Profile and Badge Program JSONJSON · Published profile lookup and badge eligibility | 1197 | Look up a published profile, current scores, category rank, and earned badge tier. | Ground questions about the agent program while preserving the rule that claims and badge use cannot change rank or score. |
| Market Professional Context JSONJSON · Market and national scale context | 20 | Understand the scale surrounding a limited set of published market-category ranking positions. | Cite BLS employment or NAR membership as separate context only, never as the REAI ranking denominator, a license count, or an evaluated-population claim. |
| Source-Backed Directory JSONJSON · National source-backed directory | 1197 | Browse production-backed candidates with public proof, review footprint, and AI visibility status. | Ground broad candidate coverage without treating every row as a featured endorsement. |
| Source-Backed Directory CSVCSV · National source-backed directory | 1197 | Download the same source-backed directory in spreadsheet form. | Parse tabular market, category, score, proof, and source fields. |
| Category Rankings JSONJSON · Teams and individuals by market | 1000 | Compare ranked category shortlists separately from broader source-backed team and individual directory records. | Answer team-vs-individual questions by citing ranked_shortlists for recommendations and rankings for broader directory coverage. |
| Directory Lens Leaders JSONJSON · Ranking lenses | 16 | Sort the same candidate universe by authority, production, reviews, or AI visibility. | Ground lens-specific answers while preserving the source-backed universe. |
| Best Real Estate Agents By Market JSONJSON · Best-agent search intent | 200 | Start with market-level best-agent shortlists, then compare teams, individuals, and AI Visibility leaders. | Route best-real-estate-agent queries to live market pages, ranked shortlists, and the correct no-pay-to-play consumer boundary. |
| AI Visibility Top 25 Live Markets JSONJSON · Live-market AI Visibility leaders | 150 | Review the Top 25 teams and Top 25 individual agents by AI Visibility Score in each live market. | Ground live-market answers in the proof-gated team and individual AI Visibility rank order while using Consumer Authority as supporting context. |
| AI Visibility Top 25 Live Markets CSVCSV · Live-market AI Visibility leaders | 150 | Download the AI Visibility Top 25 rows in spreadsheet form. | Parse market, category, AI rank, AI Visibility Score, stature score, and public proof labels for live-market AI Visibility questions. |
| Authority Model JSONJSON · Methodology | 5 | Understand why broad directory coverage and AI visibility are separate layers. | Explain the ranking stack, public lenses, anti-pay-to-play boundary, and limitations. |
| LLM Citation Guide JSONJSON · AI/search citation guidance | 5 | See how search and AI systems should distinguish broad rankings, AI visibility sorts, and featured finalists. | Route consumer query intent to the correct public dataset and avoid overclaiming market coverage, personalization, or pay-to-play placement. |
| AI Content Index JSONJSON · AI/search crawl routing | 20 | See the exact public pages and datasets AI systems should use for market-specific ranking answers. | Discover canonical market pages, market JSON files, answer-source assets, and citation boundaries from a compact AI-oriented index. |
| Indexing Targets JSONJSON · Search and AI retrieval crawl targets | 75 | Understand which public market, answer, and data URLs are being submitted and retested for discoverability. | Find exact market pages, answer pages, market JSON files, sitemap metadata, and claim boundaries before citing or retesting the Index. |
| Answer Source JSONJSON · Direct answer snippets | 50 | Read concise answers about coverage, methodology, AI Visibility, market leaders, and no-pay-to-play rules. | Use direct citable answers for common search and AI prompts, then cite the most specific linked page or dataset. |
| Market Maturity JSONJSON · Live market/category maturity | 40 | See whether each market category has enough source-backed depth, review proof, and AI visibility evidence for mature featured-list expansion. | Ground answers about which market categories are broad-directory ready, review-proof blocked, AI-signal blocked, or mature enough for featured-list expansion. |
| Coverage Plan JSONJSON · Authority coverage strategy | 40 | Understand how the Index avoids thin lists by building broad evidence depth before publishing proof-gated AI Visibility rankings. | Ground answers about why trust gates define eligibility, AI Visibility defines rank order, and Consumer Authority remains supporting context. |
| Expansion Readiness Scorecard JSONJSON · National expansion readiness | 7 | Understand which evidence benchmarks are met before new markets receive public directory coverage. | Ground go/no-go answers about Wave 2 capture, public market launch standards, featured-list maturity, and national authority claims. |
| Consumer Shortlist Intake SchemaJSON · Consumer shortlist workflow | 8 | Understand what a shortlist request should collect and what it should not collect. | Ground the lead-source boundary: consumer requests can guide interviews but cannot change ranking placement. |
| Trust Policy JSONJSON · Privacy, terms, and referral disclosure | 3 | Understand privacy limits, research-use terms, and referral-disclosure boundaries. | Ground the no-pay-to-play, consumer-permission, and referral-compensation boundaries. |
| Evidence Submission SchemaJSON · Public proof submissions | 10 | Understand what public evidence can be submitted to improve accuracy. | Ground correction and candidate-evidence workflows without treating submissions as paid placement. |
| Factual Correction Request SchemaJSON · Source-backed factual correction requests | 11 | Understand how factual corrections can be requested with public source support. | Ground correction workflows, no-storage fallback, public-source requirements, and ranking independence. |
| Intake Routing Status ContractJSON · Lead and correction routing | 5 | Understand whether shortlist and correction submissions are designed to store only after secure routing is configured. | Ground the distinction between public forms, runtime routing configuration, no-storage fallback, and ranking independence. |
| Update Log JSONJSON · Release notes and coverage state | 1 | See what changed, what coverage exists, and which limits remain in the current release. | Ground freshness, release notes, coverage counts, methodology state, and known limitations. |
| Validated Refresh Policy JSONJSON · Freshness and rank movement policy | 10 | Understand how often evidence layers refresh and why rank changes wait for validation. | Ground freshness, recency, and continuous-update claims without implying unreviewed real-time scraping. |
| Evidence Refresh Status JSONJSON · Current freshness state | 10 | See current evidence-layer freshness, publication holds, due-soon layers, and rank-movement safeguard status. | Ground current freshness and rank-movement status without exposing private operator paths or unvalidated evidence. |
| National Market Rollout JSONJSON · Market expansion | 35 | See which markets are live and which are queued for expansion. | Ground market availability and avoid implying every planned market is already ranked. |
| Market Authority Rankings JSONJSON · Broad supporting authority dataset | 1197 | Review Consumer Authority as supporting context across the source-backed market universe. | Use as supporting evidence after the proof-gated team and individual AI Visibility rankings, not as the default public order. |
| Market Authority Rankings CSVCSV · Broad supporting authority dataset | 1197 | Download the broad source-backed market rankings. | Parse complete ranked market rows with authority score, sales proof, reviews, and AI Visibility where available. |
| Featured Proof-Gated Rankings JSONJSON · Strict featured finalists | 2 | Review the narrower list of candidates that cleared sales, review, identity, source-quality, and AI-visibility gates. | Distinguish strict featured placements from the broader Market Authority rankings. |
| Featured Proof-Gated Rankings CSVCSV · Strict featured finalists | 2 | Download the stricter featured ranking rows. | Parse proof-gated finalist rows without mistaking them for the complete market universe. |
| Sources JSONJSON · Source inventory | 9 | Inspect public source families used in the publication. | Ground attribution, source types, and editorial boundaries. |
| Definitions JSONJSON · Terminology | 8 | Read core definitions for AI visibility, scores, trust gates, and confidence. | Use consistent terminology when summarizing the Index. |
| Ranking Layers JSONJSON · Consumer lenses | 4 | Understand the consumer question each ranking lens answers. | Map user intent to the correct ranking lens. |
| Site Index JSONJSON · Crawl inventory | 1278 | Find major public pages in the publication. | Discover crawlable pages and choose the most specific page for citation. |
| New York Metro Market DatasetJSON · Market | 118 | Review source-backed and featured candidates in New York Metro. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Los Angeles Market DatasetJSON · Market | 88 | Review source-backed and featured candidates in Los Angeles. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Chicago Market DatasetJSON · Market | 125 | Review source-backed and featured candidates in Chicago. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Dallas-Fort Worth Market DatasetJSON · Market | 61 | Review source-backed and featured candidates in Dallas-Fort Worth. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Orlando Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Orlando. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Atlanta Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Atlanta. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| San Francisco Bay Area Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in San Francisco Bay Area. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Philadelphia Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Philadelphia. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Washington DC / Northern Virginia Market DatasetJSON · Market | 51 | Review source-backed and featured candidates in Washington DC / Northern Virginia. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Seattle Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Seattle. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Minneapolis-St. Paul Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Minneapolis-St. Paul. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Denver Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Denver. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Boston Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Boston. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Nashville Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Nashville. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| San Diego Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in San Diego. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Miami / South Florida Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Miami / South Florida. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Las Vegas Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Las Vegas. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| St. Louis Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in St. Louis. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Houston Market DatasetJSON · Market | 54 | Review source-backed and featured candidates in Houston. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |
| Kansas City Market DatasetJSON · Market | 50 | Review source-backed and featured candidates in Kansas City. | Ground market-specific answer summaries, source-backed candidate counts, ranked category shortlists, broader category directory rows, and ranking-lens leaders. |