— Ranking Top 5 · AI citation —
Who does AI cite most for Luxury Real Estate Advisory, Monaco?
en.savills.mc holds the strongest AI citation share on the Luxury Real Estate Advisory Monaco panel at 11.93%, observed across 7 comparable scheduled runs in the observation period September 14–20, 2026.
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- Market
- Luxury Real Estate Advisory
- Location
- Monaco
- Observed period
- September 14–20, 2026
- Run type
- Period run · 7 comparable runs
- Queries
- 104 queries per run
- Search engine
- Device
- Desktop
- Source location
- Monaco
- Reading
- Ranking Top 5 · AI citation
“Monaco's AI Overview citation surface remains structurally open — no actor has pulled away from the pack.”
Quick answer
The top-5 actors on this AI Overview citation rail are separated by just 4.79 percentage points.
Key reading
Luxury Real Estate Advisory · Monaco · AI citation · September 14–20, 2026
en.savills.mc holds the rank-1 position in the period-wide AI Overview citation ranking at 11.93%, but the 4 sources behind it range from 10.36% down to 7.14%. The overall structure of this market's AI Overview citation surface is distributed, not concentrated — across this 7-run observation, no single actor has pulled away from the pack. youtube.com, a general-purpose platform, sits just 1.56 percentage points behind en.savills.mc, occupying the second position on a surface otherwise composed of focused sources. The spread of 4.79 percentage points between the rank-1 and rank-5 actors underscores how compressed the entire panel is across the period.
Core metric
Citation share — top 5 · Luxury Real Estate Advisory · Monaco · AI citation · September 14–20, 2026
Observed metric
Citation share — top 5
| Actor | Rank | AIO citation share | Presence |
|---|---|---|---|
| en.savills.mc | #1 | 11.93% AI citation share | cited in 7/7 runs |
| youtube.com | #2 | 10.36% AI citation share | cited in 7/7 runs |
| balkin.mc | #3 | 9.78% AI citation share | cited in 7/7 runs |
| montecarlo-realestate.com | #4 | 8.55% AI citation share | cited in 7/7 runs |
| knightfrank.com | #5 | 7.14% AI citation share | cited in 7/7 runs |
How the actors read on the surface
Luxury Real Estate Advisory · Monaco · AI citation · September 14–20, 2026
en.savills.mc holds the strongest AI citation share on this market at 11.93%, accumulated across all 7 comparable runs. It was cited in 7 of 7 comparable runs — yet even that full citation presence has not opened a decisive gap over the rest of the panel.
youtube.com records 10.36% AI citation share on this market, placing it as the only general-purpose platform on this governed top-5 panel. It sits 1.56 percentage points behind en.savills.mc on AI citation share, cited in 7 of 7 comparable runs — a platform competing directly with focused sources for AI Overview citations in Monaco.
balkin.mc records 9.78% AI citation share on this market and sits 2.15 percentage points behind en.savills.mc. Cited in 7 of 7 comparable runs, it occupies a position on the AI Overview citation panel that keeps it within striking distance of the rank-1 actor across the period.
montecarlo-realestate.com records 8.55% AI citation share on this market, sitting 3.37 percentage points behind en.savills.mc. It was cited in 7 of 7 comparable runs, anchoring the lower portion of a tightly compressed panel.
knightfrank.com records 7.14% AI citation share on this market, the lowest on this governed top-5 panel, and sits 4.79 percentage points behind en.savills.mc. It was cited in 7 of 7 comparable runs, confirming its presence on the AI Overview citation surface across the full window despite holding the smallest cumulative share.
Pattern on the observed surface
Luxury Real Estate Advisory · Monaco · AI citation · September 14–20, 2026
The panel is distributed, not concentrated
The panel is distributed, not concentrated. The top 3 actors together hold more than the remaining 2 combined, yet the top 2 actors together hold less than the remaining 3 combined — a structure that resists any single breakaway. One general-purpose platform, youtube.com, sits among four focused sources, making the surface a mix of domain types rather than a specialist-only rail. All 5 actors on the panel were cited in all 7 comparable runs.
Why this reading matters
Luxury Real Estate Advisory · Monaco · AI citation · September 14–20, 2026
en.savills.mc holds the rank-1 position on this AI Overview citation rail across the 7-run window, yet its 11.93% share leaves the surface structurally open. The presence of youtube.com — a platform rather than a focused source — at rank 2 signals that AI Overviews on this market draw from a broad mix of source types, not a closed set of niche domains.
Market implication
Luxury Real Estate Advisory · Monaco · AI citation · September 14–20, 2026
The distributed shape of this AI Overview citation surface across the 7-run window signals that no actor has locked down citation authority on this observed rail. The entire observed surface remains structurally open — even the rank-1 actor, en.savills.mc, holds a share that leaves substantial citation volume distributed across the rest of the panel. For any actor monitoring AI Overview citation visibility in Monaco, the observation suggests that position on this surface is contestable rather than settled.
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Observatory Reading — Citable Proof Capsule
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- Scope:
- Luxury Real Estate Advisory · Monaco
- Surface:
- AI citation · Google · Desktop
- Observed:
- September 14–20, 2026
- Published:
- September 26, 2026
Method: How readings are scoped · Run metadata · Source protocol · Corrections and right of reply
Observed by The Observatory. Not an endorsement, recommendation, market-share claim or commercial ranking.
Free reuse, including commercial republication, under The Observatory’s Terms. Retain attribution, source link, scope and date. Terms · Citation guide
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The complete citation record · revision 8f3cc6485c249244
Who does AI cite most for Luxury Real Estate Advisory, Monaco? Source: https://theobservatory.io/articles/luxury-real-estate-monaco-most-cited-by-ai-september-14-20-2026 Scope: Luxury Real Estate Advisory · Monaco · AI citation · Google · Desktop Family: Ranking Top 5 Observed: September 14–20, 2026 (2026-09-14/2026-09-20) Published: September 26, 2026 Method — How readings are scoped: https://theobservatory.io/method#standards Method — Run metadata: https://theobservatory.io/method/panel#run-metadata Method — Source protocol: https://theobservatory.io/method#source-protocol Method — Corrections and right of reply: https://theobservatory.io/method#corrections Public table: https://theobservatory.io/articles/luxury-real-estate-monaco-most-cited-by-ai-september-14-20-2026/data.csv Citation text: https://theobservatory.io/articles/luxury-real-estate-monaco-most-cited-by-ai-september-14-20-2026/citation.txt Reuse terms: https://theobservatory.io/terms en.savills.mc holds the strongest AI citation share on the Luxury Real Estate Advisory Monaco panel at 11.93%, observed across 7 comparable scheduled runs in the observation period September 14–20, 2026. Key facts: • en.savills.mc: 12% AI citation share · cited in 7/7 runs • youtube.com: 10% AI citation share · cited in 7/7 runs • balkin.mc: 10% AI citation share · cited in 7/7 runs Published table — Citation share — top 5 (September 14–20, 2026 · 104 queries per run · 7 comparable runs): Rank · Actor · Citation share 1. en.savills.mc — 11.93% AI citation share · cited in 7/7 runs — #1 2. youtube.com — 10.36% AI citation share · cited in 7/7 runs — #2 3. balkin.mc — 9.78% AI citation share · cited in 7/7 runs — #3 4. montecarlo-realestate.com — 8.55% AI citation share · cited in 7/7 runs — #4 5. knightfrank.com — 7.14% AI citation share · cited in 7/7 runs — #5 Reading basis: This card observes the AI Overview citation rail for Luxury Real Estate Advisory Monaco in Monaco on Google desktop across 7 comparable scheduled runs in the observation period September 14–20, 2026. The panel covers the top-5 actors by cumulative AI citation share, aggregated from 104 observed queries. AI Overview citation evidence was available on 7 of 7 runs. Per-actor values reflect the sum of each actor's citations across all comparable runs divided by one single period-wide denominator. The primary metric is AI citation share on this market. Limitations and non-claims: — Observes the observed AI citation surface only; within a defined scope and window. — A period aggregate (7 comparable runs) — not a claim about bookings, revenue, or market share. — Scoped to Luxury Real Estate Advisory Monaco, September 2026; not generalisable beyond this market and window. — The Observatory · Luxury Real Estate Advisory · Monaco · AI citation · Google · Desktop · September 14–20, 2026 Based on governed AAI Kernel evidence. Capture identifier: pr_1791425951444_6w858o. Cite freely with attribution. Published by The Observatory. Source footnote: Sourced from a published AAI MIB card. The Observatory publishes this card’s public findings; values are as observed on the search surface, not business-market claims. Attribution: Published by The Observatory · Based on an AAI Kernel capture · governed by The Observatory editorial system Cite: According to The Observatory (September 26, 2026), Who does AI cite most for Luxury Real Estate Advisory, Monaco?. https://theobservatory.io/articles/luxury-real-estate-monaco-most-cited-by-ai-september-14-20-2026 This record is the published reading and its public table/slice as served on the card — not the complete underlying capture or provider dataset. Observed by The Observatory. Not an endorsement, recommendation, market-share claim or commercial ranking. Free reuse, including commercial republication, under The Observatory’s Terms. Retain attribution, source link, scope and date. Revision: 8f3cc6485c249244
This record is the published reading and its public table/slice as served on the card — not the complete underlying capture or provider dataset.
— The Observatory · Luxury Real Estate Advisory · Monaco · AI citation · Google · Desktop · September 14–20, 2026
Based on governed AAI Kernel evidence. Capture identifier pr_1791425951444_6w858o. Cite freely with attribution. Published by The Observatory.
FAQ
- What does AI citation share on this market measure?
- It measures how often an actor's domain appears as a cited source inside AI Overview answers across the market's observed query set. It does not measure who opens those AI answers, nor does it reflect organic search ranking.
- How were the values in this card calculated?
- Per-actor AI citation share is the sum of each actor's citations across all 7 comparable scheduled runs in the September 14–20, 2026 window, divided by a single period-wide citation total. The panel is ranked by cumulative citation volume over the period.
- Does this card prove a longer-term trend or business-market position?
- No. This card observes a 7-run observation period on the AI Overview citation rail only. AI Overview content varies by query, model, and date. The observation does not establish a longer-term trend, does not measure organic visibility, and does not imply business-market leadership.
Scope and limitations
Luxury Real Estate Advisory · Monaco · AI citation · September 14–20, 2026 · what this card does not claim
- Observes the observed AI citation surface only; within a defined scope and window.
- A period aggregate (7 comparable runs) — not a claim about bookings, revenue, or market share.
- Scoped to Luxury Real Estate Advisory Monaco, September 2026; not generalisable beyond this market and window.
Method & source
This card observes the AI Overview citation rail for Luxury Real Estate Advisory Monaco in Monaco on Google desktop across 7 comparable scheduled runs in the observation period September 14–20, 2026. The panel covers the top-5 actors by cumulative AI citation share, aggregated from 104 observed queries. AI Overview citation evidence was available on 7 of 7 runs. Per-actor values reflect the sum of each actor's citations across all comparable runs divided by one single period-wide denominator. The primary metric is AI citation share on this market.
The complete methodology — scope, panels, run conditions and corrections — is set out on the Method page.
Source protocol · How readings are scoped · Run metadata · Corrections
Period observation across 7 comparable scheduled runs, September 14–20, 2026. AI Overview citation evidence available on 7 of 7 runs. This observation does not establish a longer-term trend. No claim about AI opening control or organic visibility.
A capture from AAI Kernel’s governed intelligence — published by The Observatory. One reading of many; the publication date is distinct from the observed window shown above.Published 2026-09-26 · Governed capture ID · pr_1791425951444_6w858o
Sourced from a published AAI MIB card. The Observatory publishes this card’s public findings; values are as observed on the search surface, not business-market claims.
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Send the reading link and your proposed correction or statement to right-of-reply@theobservatory.io. We review attribution, relevance and legal concerns before publication. Our correction and reply process explains what happens next.
Governed measurements and verbatim quotations from observed AI models are distinct from The Observatory’s editorial interpretations. Original model statements are preserved as observed, including any inaccuracies they may contain. Learn more about our verification and editorial standards
Submit a statement → right-of-reply@theobservatory.ioHow we read this
Sourced from a published AAI MIB card. The Observatory publishes this card’s public findings; values are as observed on the search surface, not business-market claims.
Method & SourceContinue the reading
The Luxury Real Estate Advisory Monaco room places this AI Citation Ranking — Top 5 reading alongside the market’s other published observations.
For the same observation window, September 14–20, 2026, Luxury Real Estate Advisory Monaco is also read in the AI Overview Ranking — Top 10 table, the Organic Ranking — Top 5 table and the Query Spotlight table; each keeps its own reading basis.
The Bangkok / Phuket reading and Dubai reading examine the same AI Citation Ranking — Top 5 for September 14–20, 2026; compare the stated reading bases before drawing a cross-market conclusion.
