Commercial Real Estate Loan Data 2026

This dated baseline measures search discovery for commercialrealestate.finance; it does not measure market size, approval odds, rates, or product availability. On September 30, 2026, the production extracts showed 205 published pages, including 154 segment landings.

Signal	Measured value	Interpretation
Google impressions in portfolio snapshot	594	Real visibility, not clicks or demand volume
Google URLs in stored Submitted-and-indexed state	21	Coverage observation, not a permanent index guarantee
Bing URLs in stored Crawled-by-Bing state	74	Crawling, not confirmed indexation
Organic sessions, 90 days	14	Human traffic attributed to organic search
OpenAI crawler requests, 30 days	1,656	Automated requests, not citations
Simulated AI citations	0	No citation in the monitored prompt set
Leads, 90 days	0	No recorded downstream outcome

What the baseline says

The site is discoverable but structurally inefficient. A large share of the published corpus consists of geographic landing pages, while relevant queries and Bing visibility concentrate around a smaller set of financing questions. Thirty-three URLs had real impressions and were protected from automated pruning.

The three LLM-channel stages remain separate: crawler request, simulated citation, and lead. The baseline contains 1,656 OpenAI crawler requests in 30 days but zero simulated citations and zero leads in the measured windows. Crawling therefore cannot be reported as a business result.

Demand sources used for the registry

The live DataForSEO request on September 30 returned HTTP 401 and incurred no recorded API cost. The registry therefore uses the validated September 14 snapshot, current Google and Bing queries, monitored AI questions, and the dated site baseline. The snapshot recorded 5,400 monthly US searches for “commercial real estate loans.” That is a search-provider estimate, not unique people, transactions, or funded volume.

How to reproduce the comparison

At +30 and +60 days, collect the same query, coverage, crawler, citation, session, and lead fields without rewriting this file. Record sitemap or API submissions separately from later observed coverage. Preserve the original whitelist even if a later cache loses an earlier impression.

Sources and scope

This guide uses supervisory and public-program material for general structure and risk context: OCC Commercial Real Estate Lending handbook, FDIC Risk Management Manual, IRS Publication 946. These sources do not validate a specific provider's offer or predict the outcome of an individual application. Verify current rules and transaction documents directly.

Related guides

• Commercial Property Loan Rates
• Commercial Real Estate Loan Interest Rates
• Commercial Loan Calculator
• DSCR Loan Vs Conventional Mortgage For Rentals
• How To Qualify For A DSCR Loan

Frequently asked questions

Does sitemap submission prove indexation?

No. Submission requests discovery; later coverage and impressions are separate observations.

Does an OpenAI crawler request prove a citation?

No. A request, simulated citation, human visit, lead, approval, and funded transaction are different events.

Why protect URLs with impressions?

An impression proves that a URL has participated in search. The workflow preserves that measured signal rather than deleting it automatically.

Measurement definitions and limitations

The query baseline is a cache of observations supplied by connected search systems. A query impression means the site appeared in a recorded result context; it is not the same as monthly keyword volume. Position is an average across the observations in the cache and can vary by device, location, wording, and date. A click is a recorded visit from that result context, while an organic session is an analytics event. The systems may use different attribution windows and should not be forced to reconcile line by line.

Coverage states also require precise language. “Submitted and indexed” is the stored Google inspection state for a URL at extraction time. “Crawled by Bing” says Bing fetched a URL; it does not establish that the URL is indexed, ranking, or receiving traffic. A sitemap submission, IndexNow acceptance, or indexing-API acceptance is a request or transport result, not later coverage confirmation.

The monitored AI-citation table comes from simulated prompts. It can show whether a monitored response cited this domain, but it does not measure real ChatGPT traffic or revenue. Crawler requests show that an automated agent requested a path. Leads are application events recorded by the site. These stages remain separate because combining them would exaggerate performance.

The content inventory counts database rows by status and kind before the rebuild. Word counts and thin-content flags are diagnostic aids, not quality scores. The pruning decision uses an additional guard: any URL with a real impression is protected, even when its later cache state changes. This creates a conservative historical whitelist for human review. All later comparisons should retain the same definitions and document any source-system change before interpreting a difference.

Retain the extraction timestamp, source labels, and definitions whenever this baseline is used in a later comparison.