Editorial Standards

Source citation policy

Every numerical claim on this site traces back to a primary or commercial data provider. We do not publish numbers we cannot source. The list of underlying providers is on our About page.

For any claim that originates from public records (FEMA flood zones, NOAA storm events, county appraisal district records, FBI UCR crime statistics), we cite the provider by name within the relevant guide or property page. Where we rely on commercial data partners, we disclose the relationship as a category - without naming the specific vendor in user-facing copy - for competitive reasons. See our data sourcing policy for our process if you need vendor detail for a specific claim.

Dual-source verification for price data

Anything user-facing that involves a dollar amount (asking price, comparable sale price, estimated value, rent comp) is verified against at least two independent sources before display. If the spread between sources exceeds 30%, we flag the listing on the property page as a multi-source price discrepancy and downgrade its Trust Score.

This is the single most important check we run, because price spreads are the strongest signal we have for catching fraudulent listings before users wire deposits.

AI-assisted research disclosure

Some of the editorial content on RemotePropView is researched and drafted with the assistance of large language models. Specifically:

• City-level demographic and commute data is generated from city-specific JSON profiles, not from LLM hallucination
• Property-level analysis pulls from primary public records and commercial real-estate data partners - the LLM only summarizes; it does not invent data
• Long-form guides (e.g. flood zone explainers, scam detection guides) are LLM-drafted and human-reviewed before publication
• Trust Score reasoning includes an optional AI-pattern-analysis layer for Realtor-tier and above; this is disclosed on the score breakdown

We do not publish purely auto-generated content. Every guide is reviewed against primary sources before going live and re-reviewed monthly. If you spot a factual error, please email [email protected] - our corrections workflow is below.

Monthly review cycle

Every guide carries a "Last updated" timestamp. We re-review each guide on a 30-day cadence to verify:

• Cited tax rates, FEMA zone designations, and tornado/hail event lists are current
• Cited statutes, deadlines, and county forms still match Texas law
• Internal links resolve and external links still point to live primary sources
• Pricing or fee figures (mortgage rates, NFIP premiums) reflect the most recent quarter

Out-of-date guides are either updated within 7 days or removed from the site index until updated. We do not let stale data accumulate.

Corrections policy

If you find a factual error in a guide, property page, or trust score:

1. Email [email protected] with the URL and the specific claim you believe is incorrect, plus a primary-source link if you have one.
2. We acknowledge within 2 business days.
3. We verify against primary sources within 7 days.
4. If the claim is wrong, we publish a correction inline at the top of the affected page, update the "Last reviewed" date, and email you confirmation.
5. If the claim is correct as published, we explain our reasoning with sources cited.

Corrections older than 90 days are visible in our public corrections log (request via email).

No-paid-placement policy

RemotePropView does not accept paid placements in property research, trust scores, search results, or guides. We do not run pay-for-position advertising on listings. We do not let commercial partners influence editorial scoring. Subscription revenue is our only commercial revenue source.

If a partner ever offers payment for placement, we will publish that fact alongside any placement (per FTC disclosure rules). To date, we have not accepted any such arrangement.

What we do not do

• We do not provide legal, tax, or financial advice. Our content is informational only.
• We do not broker transactions or take commissions.
• We do not guarantee that listings shown to us by data providers are still active or accurately priced - that is what the Trust Score and multi-source price comparison exist to flag.
• We do not sell user data to third parties. See Privacy Policy.

Trust Score detection improvements (changelog)

We harden the Trust Score detection logic continuously based on what we learn from missed scam patterns, claim data submitted under the Scam-Free Guarantee, and operator audits. Significant changes are versioned in our git repository and summarized here. Personally-identifiable claim data is never published; only the detection-logic improvement is.

• April 2026. Added contract validation across the property-page data fallback chain after an internal incident where a category was returning syntactically valid but semantically empty data (an all-zero HUD Fair Market Rent pattern). Each per-category contract now defines required fields, range bounds, forbidden literal values, and all-zero-junk detection. Failures route to a Researcher Bot retry rather than rendering fake-looking placeholders.
• April 2026. Added a 6th Trust Score layer for city code-violation records, covering all 53 DFW cities. Cities that publish to open data get direct Socrata or ArcGIS adapters; cities that do not get an honest "no public API" fallback with a pre-filled Texas Public Information Act records-request mailto.
• April 2026. Added per-property TrustScoreSnapshot logging on every authenticated page view, capturing score, label, tier, layer details, and score-confidence at the moment of view. This is the data that anchors Scam-Free Guarantee eligibility checks.