Flagship report · 2026
The Sources AI Trusts With American Homeownership
Six hundred twelve real questions about buying, selling and financing a home. Five AI answer engines. Fifteen thousand three hundred runs. One uncomfortable conclusion: the winners of the last web are not guaranteed the next one.
The index at a glance
When someone asks an AI assistant “how much house can I afford” or “is now a good time to buy in Phoenix,” the answer arrives with sources attached. Those citations are the new front door of the real estate industry — and until now, nobody had measured who walks through it. This report is the first monthly, methodologically transparent accounting of citation share in US real estate.
612
Prompts tested
Weighted by real search demand
15,300
Answer runs
5 runs per prompt, per platform
41,286
Citation events
Across 1,912 unique domains
89%
Held by top 20 sources
The head is heavy; the tail is long
The ranking
Zillow remains the single most-cited source in American real estate AI — but the story of July 2026 is erosion at the top and insurgency from the edges. The full index tracks the 20 sources that together absorb 89% of every citation we recorded.
| # | Source | Type | Citation share | Δ Jun | 6-mo trend |
|---|---|---|---|---|---|
| 1 | Zillowzillow.com | Marketplace | 14.7% | -0.8 pp | |
| 2 | Realtor.comrealtor.com | Marketplace | 11.4% | -0.3 pp | |
| 3 | Redfinredfin.com | Brokerage | 9.5% | +0.4 pp | |
| 4 | Investopediainvestopedia.com | Publisher | 7.7% | +0.2 pp | |
| 5 | Redditreddit.com | Community | 6.6% | +1.1 pp | |
| 6 | Bankratebankrate.com | Publisher | 5.9% | -0.2 pp | |
| 7 | NARnar.realtor | Association | 4.5% | +0.1 pp | |
| 8 | NerdWalletnerdwallet.com | Publisher | 4.1% | +0.3 pp | |
| 9 | Homes.comhomes.com | Marketplace | 3.8% | +0.5 pp | |
| 10 | HUDhud.gov | Government | 3.5% | +0.2 pp |
Blended citation share weighted by platform usage. See all 20 →
The personalities of machines
Treating “AI search” as one channel is the first mistake. Each engine sources answers from a visibly different web — ChatGPT reads like a reference librarian, AI Overviews like a Google property, Claude like an institutional researcher. The same brand can be dominant on one surface and invisible on another.
| Source | ChatGPT | AI Overviews | Perplexity | Copilot | Claude | Blended |
|---|---|---|---|---|---|---|
| Zillow | 14.2 | 16.5 | 13.8 | 14.9 | 13.1 | 14.7 |
| Realtor.com | 11.5 | 12.8 | 10.2 | 10.8 | 9.4 | 11.4 |
| Redfin | 9.1 | 10.4 | 9.8 | 9.2 | 8.6 | 9.5 |
| Investopedia | 8.9 | 6.1 | 6.8 | 7.2 | 8.8 | 7.7 |
| 5.2 | 8.9 | 9.6 | 5.4 | 4.1 | 6.6 | |
| Bankrate | 6.4 | 4.9 | 5.2 | 6.8 | 5.9 | 5.9 |
| NAR | 4.6 | 4.2 | 3.9 | 4.4 | 5.8 | 4.5 |
| NerdWallet | 4.4 | 3.2 | 4.1 | 4.9 | 4.6 | 4.1 |
| Homes.com | 3.4 | 4.8 | 3.6 | 3.9 | 3.2 | 3.8 |
| HUD | 2.8 | 4.6 | 2.9 | 3.1 | 4.9 | 3.5 |
Citation share by platform (%). Shading scaled within each column.
What kind of content gets cited
Domain authority matters less than content shape. Listing pages win transactional prompts and lose everything else; explainers own the informational majority; government pages are treated as ground truth regardless of their search presence. Here is where all 41,286 citations actually landed.
- Listing & property pages24%
- Guides & explainers21%
- Community discussions14%
- Market data & statistics12%
- News & trade media10%
- Government & regulatory8%
- Video6%
- Tools & calculators5%
Where this is heading
Six months of frozen-prompt re-runs show a slow but consistent redistribution: away from the portal triopoly, toward community and video. If the February→July slope holds, Reddit overtakes Bankrate by October and YouTube enters the top ten before year-end.
Five findings
- Finding 01
The portal triopoly is loosening
Zillow, Realtor.com and Redfin still absorb 35.6% of all citations, but their combined share is down 3.1 pp since February. The losses are not going to other portals — they are going to community discussions and video, which grew from 19.1% to 22.4% over the same period.
- Finding 02
Each AI engine has a distinct sourcing personality
ChatGPT over-indexes on reference content (Wikipedia 3.9%, Investopedia 8.9%). AI Overviews routes 3.2× more citations to community and video than ChatGPT. Claude is the most institutional, favoring government and association sources. A brand's AI visibility strategy cannot be platform-agnostic.
- Finding 03
Guides beat listings on informational intent
For how-to and definitional prompts — 58% of the corpus — explainer content captures 41% of citations while listing pages capture just 9%. Listing pages only win when intent is explicitly transactional. Content type, not domain authority, is the strongest predictor of citation on informational prompts.
- Finding 04
Government sources punch far above their SEO weight
hud.gov appears in 8% of all citation events despite a negligible traditional-search footprint. On FHA and fair-housing prompts its citation rate quadruples. AI engines treat .gov domains as ground truth for regulatory questions — a structural advantage no commercial site can replicate.
- Finding 05
First position compounds
Brands whose average first-citation position is in the top two retained 91% of their share month-over-month, versus 67% for brands cited in position four or lower. Early citation appears to be both a cause and a consequence of durable AI visibility.
Method & limits
We assembled 612 prompts from real US search demand across six intent classes — buying process, selling, financing, regulation, market sentiment, and local discovery — weighted to reflect query volume. Each prompt was run 5 times on each of five platforms during the first week of July 2026, using fresh sessions with no personalization.
Citations were extracted deterministically from answer text and source lists, then mapped to registered domains. A 4% stratified sample was audited by hand; extraction precision measured 98.2%. All citation-share estimates carry a 95% confidence margin of ±1.2 pp. Rankings are observational measurements of platform behavior, not endorsements of any source.
Underlying dataset
citations.csv41,286 rows
prompts.csv612 rows
domains.parquet1,912 domains
methodology.pdf14 pages
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