Automatically extract rent rolls and T12 statements into Excel for faster multifamily real estate underwriting. AI-powered data extraction tool saves hours on multifamily property analysis and due diligence. AI in commercial real estate.
Business Specialistquickdata.aiTracked since 2026-08-192 discovery sources
1.2KBacklinks
127Referring domains
24Domain authority
+23.3%Referring domains · 90 days
Authority & distribution
How strong is QuickData.ai’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
1.2KCurrent snapshot
Referring domains
127Current snapshot
Authority
24Domain authority · category median 22
90-day move
+23.3%Referring domains, last 90 days
At 24, QuickData.ai sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 367 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“QuickData.ai”
Automatically extract rent rolls and T12 statements into Excel for faster multifamily real estate underwriting. AI-powered data extraction tool saves hours on multifamily property analysis and due diligence. AI in commercial real estate.
Business SpecialistSeen 2026-08-19 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://quickdata.ai
Observed across 2 discovery sources.
Research questions
What the evidence answers about QuickData.ai.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does QuickData.ai do and what problem does it solve?
QuickData.ai automates the extraction of rent roll and T12 data into Excel for multifamily real estate underwriting. It solves the problem of manual data entry, claiming to save users 15 hours per month and help them underwrite deals 10x faster.
What features or capabilities does QuickData.ai offer?
QuickData.ai offers auto-extraction of rent rolls, auto-categorization of T12 line items, and the ability to extract any section of an offering memorandum into Excel. It works as an Excel add-in and integrates with existing underwriting models.
How is QuickData.ai priced and what does the free trial include?
QuickData.ai costs $99 per month. The product offers a 14-day free trial that includes free 1:1 onboarding and setup support.
What is QuickData.ai used for and in what situations?
It is used for multifamily real estate underwriting, specifically to extract rent rolls, T12 statements, and offering memorandum data into Excel models. It is used by investors, brokers, lenders, and accounting firms to speed up deal analysis and due diligence.
Who is QuickData.ai for?
QuickData.ai is designed for multifamily real estate professionals, including investors, brokers, lenders, and accounting firms. It is currently available for Windows PC users, with a Mac version planned.
What is QuickData.ai?
QuickData.ai is an AI-powered Excel add-in and API that automates the extraction of financial documents like rent rolls and T12 statements into Excel models for multifamily real estate underwriting.
Behind the lock
Unlock full QuickData.ai intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 367.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured