Realmo Editorial Policy: How We Review Content, Data, and AI

What This Policy Covers

• The Analytics Center draws on 150M+ U.S. properties of all types
• The marketplace contains 1M+ active listings across all 50 states

Who Writes and Reviews Our Content

Realmo Blog articles are produced and published under our editorial team rather than individual bylines. Realmo remains accountable for each piece of content.

A Realmo CRE analyst reviews every article before publication, checking:

• Figures
• Formulas
• Terminology
• Clarity
• Lease, financing, and diligence descriptions against market practice

Articles carry a publication date and a last-updated date. See About Us for the Realmo team.

How We Create Editorial Content

Our workflow includes seven stages:

1. Topic selection. We focus on questions users encounter while searching for and evaluating commercial property, not search volume alone.
2. Research. We check primary sources first and include secondary statistics traced to their origin where possible.
3. Drafting. Writing includes defining technical terms, showing calculations, and separating facts from examples and estimates.
4. Analyst review. Our CRE analyst checks clarity, structure, formulas, terminology, lease and financing structures, and market practice.
5. Pre-publication fact check. We check figures, dates, geography, links, calculations, and product claims in the final copy.
6. Publication. Dated article with sources.
7. Re-review. It can be triggered by material market, legal, lending, tax, or product changes.

Every article passes analyst review before publication. Nothing is published on the draft alone.

Sourcing and Fact-Checking

We rank sources by how directly they support a claim:

1. Primary records and filings.
2. Government and regulatory data.
3. Established industry research and financial institutions.
4. Realmo’s own data, labeled as Realmo data.
5. Attributed practitioner input.

Undated aggregator content, unattributed statistics, competitor marketing copy, and AI-generated text are not factual sources.

Numbers must trace to a named, dated, linked source. We recalculate formulas, check terminology, and frame legal, tax, and lending topics as general information.

How We Verify Listing Data

Listing aggregation

Listings come from owners and brokers, partners and commercial listing networks, and AI-assisted import. Public records can add supporting data. Realmo carries 1M+ active listings across all 50 states for retail, office, industrial, land, multifamily, and special-purpose sale and lease inventory.

Automated validation at intake

Intake checks can cover address and geocode validation, duplicates, required fields, price, size and year-built ranges against submarket comparables, asset type, and media.

A record that fails validation is held, not published, and is fact-checked before it can go live.

Human and partner verification

Human and partner verification covers broker identity and authority to list, partner feed quality, and escalation of suspect records for further review.

Keeping listings current

We track status and price changes, check feeds for staleness, and remove expired inventory. Rey and saved-search alerts use the active set; reports run daily or weekly.

AI-assisted listing content

AI can structure supplied data and generate descriptions or highlights. It does not originate property facts or override source values.

Realmo checks submitted addresses against parcel and geocode data but does not verify other submitted fields, inspect properties, or guarantee third-party submissions. See Terms of Use. Report issues through the on-page control or Contact.

How We Maintain Category and Market Pages

Category and market pages summarize active Realmo inventory. Counts, total square footage, price ranges, and estimated inventory value are calculated from active listings and recalculated as inventory changes. They are not measures of the entire U.S. market.

Selected properties can show Analytics Center insight blocks with estimated cap rate, estimated annual NOI, suggested price, property type, and year built. They appear only where metrics compare favorably with similar assets in the same category and submarket and link to Property Analytics.

City and market introductory copy follows the same analyst review as blog content.

Analytics Center Methodology

What it produces

• Records and ownership. It includes Property Lookup, Property Ownership Records, Recently Sold.
• Estimation and return. It includes Property Value Estimation, Cap Rate Calculation, Property Insight Reports.
• Location and use. It includes Location Intelligence, Business Placement, Local Zoning & Analytics.

It draws on an external database of 150M+ U.S. properties of all types. Property Lookup works against the 9M+ commercial-property subset.

Data inputs

Inputs are recorded transactions, public records, commercial listing networks, broker-supplied inventory, local rent and demand signals. Estimates change as new evidence arrives.

How estimates are produced

Models account for asset type, location metrics, and historical price dynamics. Estimated NOI uses local rent comps and historical asset performance. Cap rate = estimated NOI ÷ asking price. Suggested price is value at a market-standard cap rate for that class and submarket.

Current Use comes from public records. Suggested Use comes from AI analysis of zoning, demographics, and competitive gaps.

Confidence and limitations

A modeled estimate is not an appraisal, broker opinion of value, or substitute for underwriting. Owners and brokers can request review of a record or estimate.

How We Evaluate Rey’s Answer Quality

Rey maps natural-language questions across 9M+ commercial properties, combining property data with demographics, foot traffic, business density, and demand-supply gaps.

Rey is open to all users. No registration or invitation is required. Anyone can ask up to three questions a day and check the cited records without an account. Registered users currently have no query limit.

Since these answers can inform financial decisions, we score them before release.

Grounded by design

Property-specific statements should trace to a listing, public record, or model output the user can open. Missing data is stated, not filled in. Current Use comes from public records. Suggested Use comes from AI analysis of zoning, demographics, and competitive gaps.

What we score

How we test

Our evaluation set spans asset classes, geographies, price bands, and intent types with expected-behavior rubrics. Automated regression precedes model, prompt, or retrieval changes. CRE-knowledgeable reviewers also score sampled conversations.

Tests cover ambiguous queries, out-of-coverage geographies, thin-data submarkets, and prohibited-advice prompts.

Continuous evaluation and release gating

As new market data and usage analytics arrive, relevant evaluations are rerun. A change that fails evaluation does not ship.

In-product feedback enters the same process. Recurring failures are fixed in the record, retrieval, or model instructions.

Realmo does not publish evaluation-set sizes, sampling rates, or score thresholds. We state what is measured, tested, and what happens on failure.

Rey’s limitations and restrictions

Rey does not:

• Provide investment, legal, appraisal, tenancy, tax, or lending advice
• Guarantee returns, valuations, or approvals
• Fabricate properties, owners, or comparables
• Present modeled estimates, which are based on market statistics, as appraisals

Privacy Policy states that these systems produce probabilistic outputs that may not always be accurate. Material facts and estimates should be checked against cited records.

How We Use AI Across Realmo

AI serves different functions across Realmo:

• Editorial. AI may assist with research organization and drafting. No article is published without human research, editing, and analyst review. No AI-generated property photographs.
• Listings. AI structures and enriches supplied data but does not originate facts.
• Analytics. Auto Valuation Modeling and related models produce estimates from documented inputs, labeled as estimates.
• Rey. The tool is governed by the evaluation and release process above.

Independence, Advertising, and Sponsored Content

Realmo does not publish sponsored, paid, or contributed editorial content.

Nobody can buy an article, mention, or placement in a Realmo guide. Editorial coverage is independent of advertising, premium listing purchases, and partnerships. Paid marketplace placement is labeled.

Realmo may receive compensation for connections with third-party real estate or settlement service providers; these relationships are disclosed where applicable, consistent with our Terms of Use.

Corrections and Updates

Report content errors, listing issues, or record problems through the on-page control or [email protected]. We check the underlying source before changing published information.

Substantive factual corrections receive a dated correction note rather than a silent edit. Articles show a last-updated date and return to analyst review when material market, tax, lending, or product changes affect the content.

Listings, aggregates, and analytics update independently of editorial cycles as new records and market evidence arrive.

Realmo Provides Information, Not Advice

Realmo content, listings, Analytics Center outputs, and Rey answers are informational. Realmo is not a broker-dealer, appraiser, lender, law firm, or tax advisor. These materials do not replace underwriting, an appraisal, professional advice, or property-level due diligence.

Engage licensed and qualified professionals where appropriate. See the Terms of Use and Privacy Policy.

Contact Us

Use [email protected] for:

• Content error. Subject: “Content correction”
• Listing issue. Subject: “Listing issue”
• Record or estimate review. Subject: “Record or estimate review”