The verdict in three sentences
In Miami, relocating occupiers, landlords and investors judge a commercial real estate advisory on submarket knowledge, published research and team, and they increasingly put those questions to AI assistants like ChatGPT. SEO remains the foundation that produces enquiries you can measure in Search Console and your CRM, while AEO/GEO works on how your firm is described in generated answers. The right split depends on your situation, is measured with a dated record of answers to the same questions, and at Kolonell it is scoped on quote.
What your clients ask now, and where they ask it
A CFO from New York or Chicago moving a headquarters to Miami no longer always starts with a list of links. They ask an assistant: "which office advisory represents tenants in Brickell?", "are prime rents in Wynwood lower than in Brickell?", "who advises on warehouses near Miami airport and in Doral?". A family office will rather ask: "which firms publish research on the South Florida industrial market?".
The answer names a few firms, often with a one-line description. If yours is missing, or described with an outdated scope ("retail specialist" when you mostly do tenant representation), the client will not call. Google is still the verification step: the decision maker types your name, reads your team pages and research, then gets in touch.
SEO and AEO/GEO compared for a commercial real estate advisory in Miami
2026 ballpark, based on typical agency quotes and public agency rate pages in the US.
| Criterion | SEO | AEO/GEO |
|---|---|---|
| What it targets | Google queries: "office space Brickell", "industrial broker Doral", firm name | Questions put to AI assistants like ChatGPT on choosing an advisory, submarkets, rents |
| Time to effect | 4 to 9 months for steady organic enquiries | Variable, often a few months, with answers that shift month to month |
| Market budget | $2,000 to $7,000 a month, one-off audit $3,000 to $8,000 | $2,500 to $8,000 a month, one-off diagnostic $3,000 to $10,000 |
| Metrics | Impressions, clicks, enquiries per page, mandates signed from search | Presence and accuracy of the description in a dated record, enquiries mentioning an AI |
| Main risk | Stale listing pages, generic "Miami real estate" content | An inaccurate description repeated everywhere, not fixable in one click |
| What serves both | Dated market research, precise team pages, transactions only if public | Same assets, plus consistent information across third-party sources |
The overlap is decisive: both approaches reward the same raw material, real, dated market research and accurate partner profiles. A firm that has published nothing in two years has no lever, whatever the channel.
Which split for your situation?
| Situation | Suggested priority | Why |
|---|---|---|
| Recent firm, little known in Miami | SEO first, AEO/GEO on watch | You first need pages that exist and can be verified |
| Established brand, quarterly research published | Both in parallel | The material exists, the stake is how AI assistants summarize it |
| Regulated content (licensing, listings, yields) | Careful SEO, compliance review first | An error picked up by an AI circulates for a long time |
| Limited budget, under $3,000 a month | Local SEO on two or three submarkets | Measurable results sooner |
| Partners leaving or joining | Quick AEO/GEO diagnostic | Answers may cite former names or a former scope |
| Expansion to Fort Lauderdale or West Palm Beach | SEO per market, then a record of answers | Each market has its own queries |
On constraints: brokerage activity falls under state real estate licensing rules, listings must concern properties actually under mandate, and a transaction is cited only if public. Web accessibility is a sensitive topic in the US, with frequent suits based on ADA Title III (target WCAG 2.1 or 2.2 AA), and email campaigns follow CAN-SPAM. There is no single federal privacy law: have your forms reviewed against the relevant state rules. This is not legal advice.
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How to measure, and what a diagnostic covers
For SEO, measurement is familiar: Search Console for queries and pages, then the CRM to connect an enquiry to a mandate. For AEO/GEO, the only honest measure is a dated record: the same list of questions, asked on the same dates, with the answer archived, the firm's presence, the accuracy of its description and the sources cited. You then compare month to month, without promising that an AI will recommend you.
In broad terms, a diagnostic covers the state of the pages that serve as proof (team, research, submarkets), the consistency of public information about the firm, a first record of answers to your clients' questions, and a recommended budget split. To get one, request a free quote.
Mini case study
Illustrative example: Bayfront Tenant Advisors, eight tenant representation advisers in Brickell. Planned annual budget: SEO at $3,500 a month ($42,000), a one-off AEO/GEO diagnostic at $5,000, then monitoring at $2,000 a month ($24,000), so $71,000. A typical mandate: 10,000 square feet at $65 per square foot per year over 5 years, so $3,250,000 of aggregate rent; at a hypothetical 4% fee, the mandate earns $130,000. A single mandate from these channels covers about 1.8 times the annual spend. Real fee rates vary by contract, so this is a ballpark only.
FAQ
Should we stop SEO to fund AEO/GEO? Rarely, since Google remains the verification step after an AI answer. Most firms keep SEO as the base, with 30 to 50% of the budget on AEO/GEO when their research justifies it.
What does an AEO/GEO diagnostic cost in Miami in 2026? As a ballpark, $3,000 to $10,000 one-off depending on the number of questions and submarkets covered. At Kolonell it is on quote.
How do we know if an AI describes our firm badly? By asking the same questions every month, for example 20 to 40, and archiving the answers with the date. An inaccurate description shows up quickly in that record.
Can we cite our recent transactions? Only those that are public or authorized by the client, with accurate data. An invented or misdescribed deal can be repeated by AI assistants for months.
Can an agency promise ChatGPT will recommend us? No, nobody controls those answers. You can improve the published material and measure how things change over 6 to 12 months.
Find out how AI assistants describe your firm. We record what AI assistants say today about your firm across your submarkets and propose an SEO and AEO/GEO split that fits. Request a diagnostic quote: reply within 48 hours.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
