WE DIDN'T SELL IT
UNTIL WE PROVED IT.
The AERO-10 framework was built and tested on our own real estate site in the most competitive local market in America. 1.14M+ monthly impressions. Four of four major AI platforms citing the same agent. Zero ad spend. Then we packaged it for local service businesses outside real estate.
Market: Los Angeles, CA
Competitors: 70,000+ agents
Status: Live & compounding
HOW RESULTS BUILD
Same framework, applied to your market. The five stages we walk every client through — from zero baseline to compounding authority.
Weeks 1–2
Baseline scan across ChatGPT, Claude, Perplexity, and Google AI. Every market starts invisible. We captured the zero-state so we could measure movement.
Weeks 3–8
AEO content and schema ship. Hub-and-spoke architecture covering rent control, probate, ADU, and seller-intent clusters. Indexing window opens. Pages appear in AI training cycles.
Weeks 9–12
First citations land — measured against the 90-day guarantee. Full AEO Authority Index snapshot delivered. This is where most providers stop. We don't.
Month 4+
Authority Index compounds. The Monday Brief captures rank deltas and Reddit citation opportunities. The Monthly Intelligence Report books the numbers. Dashboard shows live 4-platform tracking.
Month 6+
Queries you never wrote content for start citing you. AI engines triangulate across your hub and surface your name for adjacent questions. The dashboard becomes a retention anchor, not a check-in.
LA Metro Home Finder vs. 70,000 Agents
Our own real estate property. The first place the AERO-10 framework ran live. Today it carries the heaviest AI-citation load of any site in the portfolio.
PHASE_01: STRATEGY
Semantic mapping of 1,200+ real estate queries across LA County. Hub-and-spoke architecture built around buyer, seller, and investor intent — with entity alignment for the site as the definitive local expert.
PHASE_02: IMPLEMENTATION
AERO-10 content architecture shipped. Schema markup, knowledge graph seeding, citation tracking across ChatGPT, Claude, Perplexity, and Google AI Overviews.
PHASE_03: RESULTS
All four major AI platforms now cite the site for rent control, probate, and ADU questions. 1.14M+ monthly impressions. $0 ad spend. And the authority keeps compounding.
Before AEO
After AEO
RPM Southland vs. Every Competitor Without a Schema
921 Google reviews at 4.8 stars. 730+ properties managed. Three named guarantees. All invisible to AI search — until AEO fixed the infrastructure.
The strongest social proof in Long Beach property management — 921 reviews, 730+ properties, 3 named guarantees — was completely invisible to AI engines. No aggregateRating schema. No topical cluster. No answer-engine presence.
Full 5-type JSON-LD schema per article. AggregateRating marked at 4.8/921. 12 articles live in 4 months targeting high-intent landlord queries. Internal-link mesh connecting every piece. Voice locked to Miles Williams.
RPM Southland's 921 reviews and three named guarantees are now machine-readable authority signals. Topical cluster covering fees, multi-family, switching managers, first-time landlords, and territory-specific guides — live and compounding.
ALSO WORKING WITH
The LAMH case is the flagship. These are the other businesses running on the AERO-10 framework right now.
Borges Real Estate Team
Residential real estate
Lovery Real Estate
Real estate · seller focus
Brandon Thompson
Real estate · IE markets
Davis Agency
Real estate
RPM Southland
Property management · Case study available
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