Walk into almost any commercial real estate decision and you will find the same artifact at its center: the broker deck. It is glossy, persuasive, and — by design — selective. It leads with the comps that support the price, frames the market in the best possible light, and almost never tells you where its numbers came from. For a multimillion-dollar decision, that is a remarkably thin evidentiary base.

The alternative is not more opinion. It is grounding: anchoring each claim in two things a marketing deck rarely offers — the peer-reviewed research on how these markets actually behave, and the real, current public data that describes them. That is the entire premise behind Corbis, and it is worth explaining why it matters.

Comps are backward-looking by construction

The deck's favorite evidence — recent comparable sales and appraisals — is precisely the evidence the academic literature warns is laggy. In a study of individual commercial appraisals, Clayton, Geltner, and Hamilton document appraisal smoothing: a temporal lag bias in which appraisers anchor onto their own prior valuations, so reported values trail the market and understate true volatility (Real Estate Economics). Geltner's broader work on appraisal-based returns reaches the same conclusion — published series are smoothed and lag the underlying market (Journal of Real Estate Finance and Economics).

This is not a knock on appraisers; it is a structural feature of how valuation works when transactions are infrequent. But it means a deck built on comps is, almost definitionally, describing where the market was, not where it is. Jud and Winkler put a finer point on it: commercial real estate markets are information-inefficient and segmented from the broader capital market, and cap rates adjust to changes in capital-market spreads only with significant lags (Journal of Real Estate Research). If you only read the comps, you are reading a lagging indicator and calling it a price.

There is a deep evidence base most decks ignore

Here is what is striking: the questions a deck waves away with a confident sentence have decades of empirical research behind them. Take the one that matters most right now — what moves cap rates.

• Białkowski, Titman, and Twite examine office cap rates across 89 cities in 33 countries and find they track the real interest rate, run lower in wealthier gateway and financial-center cities, and rise where credit ratings are weaker and inflation higher (Real Estate Economics).
• Jud and Winkler model cap rates from the cost of capital — debt and equity spreads — and confirm the lagged adjustment noted above (Journal of Real Estate Research).
• Beracha, Freybote, and Lin show the ex ante risk premium widens asymmetrically, responding most to debt-market conditions when it is rising (Journal of Real Estate Research).
• And at the local level, Clapp and Giaccotto demonstrate that economic fundamentals — employment, income, demographics — drive house-price dynamics, not sentiment (Journal of Urban Economics).

None of this is exotic. It is the standard scholarship of the field. The problem is simply that it almost never makes it into the room where the decision gets made.

Real-time public data beats a stale comp

The second half of grounding is current data — and an enormous amount of it is public, authoritative, and free. Consider the rate environment a deck might describe as "elevated but stabilizing." The actual prints, from the Federal Reserve's FRED service as of late May 2026: the 30-year mortgage rate sits at 6.53%, up roughly 30 basis points over the prior month, with the 2-year Treasury near 4.0%. Read against the research above, that is not "stabilizing" — it is continued upward pressure on cap rates, arriving with a lag.

Local fundamentals tell an even richer story when you benchmark them. Take Austin. Corbis scores it a 69 out of 100 on overall fundamentals, with standout demand drivers: five-year job-growth CAGR of 4.3% — top 1% of all U.S. metros — plus top-tier in-migration, new-business formation, and a 66% high-wage job share. A broker deck for an Austin asset would stop there. But the same data set flags the other side: asking rents are down 3.2% over three years — bottom 1% nationally — as a supply wave gets digested.

Best-in-class demand against a near-term rent correction is exactly the nuance a sell-side deck is built to omit — and exactly what determines whether a deal pencils.

Those figures come from the U.S. Census, the Bureau of Labor Statistics, Zillow, FEMA, and FRED — 99 metrics benchmarked across 925 metros. The point is not that Austin is good or bad. It is that the complete, sourced picture is available, and it frequently complicates the tidy story a deck wants to tell.

Citations you can verify

The deepest difference is not the research or the data — it is the provenance. A marketing claim asks for your trust. A grounded answer hands you the source. Every figure above traces to a named data series or a peer-reviewed paper with a DOI you can open right now. That is the discipline academic finance takes for granted and that high-stakes capital decisions deserve.

This is what Corbis is built to do: answer a commercial real estate question by retrieving the relevant literature and the relevant public data, synthesizing them, and showing its work — citations and all. Not a deck's conclusion, but the evidence underneath it.

Broker decks are not going away, nor should they; they are useful sales documents. But they are sales documents. When the decision is yours and the dollars are real, the question worth asking is simple: what does the evidence actually say — and can I see it?