AEO Case Study
From no website to top ChatGPT results for a high-intent real estate query.
This client was a real estate broker targeting one exact commercial prompt in ChatGPT: [nationality] real estate agent [state]. Before the engagement, there was no website and the client did not appear at all. During the February 2026 engagement, the client began appearing in the top ChatGPT results for that query within 4 weeks of launch.
Snapshot
Engagement
February 2026
A February 2026 client engagement.
Starting Point
No website, no visibility
No site in place and the client did not appear for the target prompt.
Timeframe
4 weeks
Top ChatGPT results within roughly four weeks of launch.
The prompt we optimized for
We focused the work around one narrow, local, high-intent query instead of trying to rank for every possible real estate phrase at once.
[nationality] real estate agent [state]That kept the strategy clear: make the broker easy to identify, easy to verify, and easy to cite for exactly that search pattern.
What Changed
Built a site around one exact commercial prompt
The project started from zero, so the site could be organized directly around the query pattern the client cared about most.
Added targeted metadata and on-page entity signals
Title tags, descriptions, geo signals, language signals, and service-language combinations were all aligned to the target market and geography.
Published structured data across the key entity types
The implementation included RealEstateAgent, LocalBusiness, FAQPage, WebSite, Organization, and BreadcrumbList schema to make the business easier to parse and verify.
Created direct-answer content
The site included FAQ content, service sections, area-served coverage, and language-specific context that mapped to how people phrase local AI prompts.
Made the site discoverable for crawlers from day one
We shipped robots.txt and sitemap.xml at launch so search engines and answer engines could find and index the site immediately.
Strengthened corroboration
The entity layer linked out to established third-party profiles and credentials so the on-site claims were supported by outside references.
Published Result
This is the same screenshot used on the homepage. We are keeping the client anonymous, but the result is real and tied to the prompt above.
Why We Think It Moved
Clearer entity matching
The business, language, geography, and profession were described consistently across metadata, visible copy, and schema.
Better retrieval surfaces
The site answered the query directly instead of forcing a model to infer the match from thin or generic content.
Richer machine-readable signals
Structured data, FAQ markup, and AI-readable files gave answer engines more ways to interpret the business correctly.
Outside confirmation
Linked profiles, credentials, and organizational context helped support the trust layer beyond the site itself.
Beyond The Site
AEO is holistic. On-site work was paired with off-site corroboration.
Schema and content carry an AEO program only so far. AI engines also weigh what the rest of the web says about a business, so the on-site build was paired with deliberate off-site work to make the broker easy to verify wherever an answer engine might cross-reference.
- Established third-party real estate platforms (the verified profiles buyers and AI engines look for when checking that an agent is real and active in a given market)
- State licensing and credential registrations that anchor the broker in the target state with an authoritative record
- Local commerce and association profiles (regional realtor boards and community business directories) that confirm presence in the service area
- Language and community-specific resources where buyers in the target nationality discover and vet agents
The on-site signals and the off-site corroboration matched. That alignment, more than any single page or schema type, was what made the broker easy for ChatGPT to surface and cite for the nationality-plus-state prompt. AI answers that pull from one source are easy to dispute; AI answers that pull from many sources saying the same thing are sticky.
Start with the free audit, then see how the same principles apply to your market.
This case study is one anonymized example, not a universal template. If you want to know where your own site stands, start with the audit and then review the NYC service page for the broader commercial model.