The verdict in three sentences
For a commercial real estate advisory in Los Angeles, SEO remains the lever that captures active searches (office space Century City, industrial lease Inland Empire), while AEO/GEO works on how AI assistants like ChatGPT describe your firm when a head of real estate asks them who to call. One does not replace the other: the question is how to split the budget based on your brand recognition, your content and your sales cycle. In both cases you measure on dated data: Search Console and inbound leads for one, a dated record of AI answers to the same questions for the other.
What changes when the buyer asks an AI
A media company CFO looking for 40,000 square feet of office space in Culver City, a family office selling a warehouse in Vernon, a retail brand studying Melrose: more and more, their first question goes to a conversational assistant rather than to Google. They ask which firms know the submarket, who represents tenants rather than landlords, what asking rents look like. The AI answers from what it finds consistent and verifiable on the web: clear pages, published market research, trade press mentions, professional directory listings, the same facts everywhere.
A firm that ranks well on Google can be missing from those answers, and the reverse happens too. Hence the trade-off.
SEO versus AEO/GEO: the comparison for commercial real estate
Budgets are a 2026 ballpark, based on typical quotes from Los Angeles agencies and consultants.
| Criterion | SEO | AEO/GEO |
|---|---|---|
| What it targets | Google queries by submarket and asset type | AI answers to questions about choosing an advisor |
| Time to effect | 4 to 9 months | 2 to 6 months for first changes, variable |
| Market budget | USD 3,000 to 10,000 per month | Diagnostic USD 2,000 to 8,000, ongoing USD 2,500 to 8,000 per month |
| Metrics | Rankings, clicks, qualified leads | Share of answers citing the firm, accuracy of information |
| Content that matters | Submarket pages, real listings, research | Consistent facts, third-party mentions, structured data |
| Main risk | Competition from national brokerage networks | Emerging market, answers shifting week to week |
| Tooling maturity | High | Low, much measurement is still manual |
No serious provider promises a ranking on Google or a recommendation by an AI. For listings, publish only real, current properties, and transactions only when they are public. Brokerage activity is governed by state real estate licensing rules: your team pages must stay accurate on that point. This is not legal advice.
Where to invest for your situation
| Situation | Priority | Why |
|---|---|---|
| New firm, little content | SEO first, about 70% of budget | You first need to exist on submarket pages |
| Established brand, lots of press | AEO/GEO alongside, 40 to 50% | The material exists, it needs to be read correctly |
| Quarterly market reports published | Both, equal split | Reports feed Google and AI assistants alike |
| Sensitive content (investors, rent data) | Diagnostic first | Check what AI assistants already say, sometimes wrongly |
| Limited budget, under USD 3,000 per month | Local SEO and consistent listings | More predictable short-term gains |
| Tenant-rep specialist | AEO/GEO early | Who represents tenants questions often go to an AI |
How to measure, without fooling yourself
For SEO, measurement is well established: Google Search Console (impressions, clicks per submarket page), inbound leads tied to a source, meetings booked. For AEO/GEO, the only honest method today is a dated record: the same list of questions put to AI assistants like ChatGPT at regular intervals, with the answers archived. You track the share of answers citing the firm, the accuracy of what is said (submarkets, specialties, team) and the sources cited.
A diagnostic covers, in broad terms: what AI assistants say today about your firm and your competitors, inconsistencies between your site and directories, missing content, and a recommended budget split. For a Los Angeles firm, typical clients ask about Downtown, Playa Vista, El Segundo or the South Bay: the list must reflect your actual coverage.
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Mini case study
Illustrative example: Westbourne Realty Advisors, 12 advisors in Westwood, has USD 8,000 a month. Established, with a quarterly office market report, it goes for USD 5,000 of SEO and USD 3,000 of AEO/GEO, or USD 96,000 a year. If a tenant representation assignment brings USD 60,000 in fees on average, two extra mandates a year (USD 120,000) cover the investment. The monthly record of 25 questions shows the firm cited in 3 answers out of 25 at the start, or 12%: that is the baseline it will track.
FAQ
Should we stop SEO to move to AEO/GEO?
No. For a commercial real estate advisory, SEO still captures most active searches by submarket. AEO/GEO comes on top, often 30 to 50% of the budget for an established brand.
How much does an AI visibility diagnostic cost?
In the Los Angeles market, expect USD 2,000 to 8,000 for a one-off diagnostic (2026 ballpark). At Kolonell, the diagnostic is on quote based on the number of questions and competitors tracked.
How soon do we see results?
For SEO, usually 4 to 9 months. For AEO/GEO, changes sometimes appear within 2 to 6 months, but answers vary from week to week, which is why monthly tracking matters.
Can we publish our transactions?
Only those that are public or approved by the parties. Listings must be real and current: a stale listing hurts credibility with clients and AI assistants alike.
How do we know if an AI says something wrong about our firm?
By asking the same questions regularly and archiving the dated answers. A record of 20 to 30 questions a month is often enough to spot recurring errors.
Find out how AI assistants describe your firm. A dated record of what AI assistants like ChatGPT say about your firm and your competitors in Los Angeles, with a recommended SEO and AEO/GEO split. 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.
