The verdict in three sentences
In Houston, occupiers, landlords and investors increasingly start their search for commercial real estate advice with a question to an AI assistant like ChatGPT, before they even open Google. The advisories that show up in those answers are the ones whose public information is consistent, factual and recent: submarkets covered, asset types, team, published research. The work is priced on quote, costs roughly USD 2,000 to 6,000 a month on the market, and is measured through a dated record of answers to the same questions.
What buyers ask AI assistants in Houston
A corporate real estate director at an oilfield services group, a family office hunting for an industrial asset or a building owner in Westchase does not ask the same questions as three years ago. Here are realistic 2026 phrasings:
| Question asked to an AI assistant | Profile | What the answer needs |
|---|---|---|
| 'Which tenant rep firm in Houston for 40,000 sq ft in the Energy Corridor?' | Corporate occupier | Tenant representation specialists, specific submarket |
| 'Who advises on logistics warehouses near the Port of Houston?' | Shipper, 3PL | Industrial expertise, corridor knowledge |
| 'What is the Galleria office vacancy rate in 2026?' | Investor | Recent, sourced market research |
| 'How do I renegotiate a Houston office lease before expiry?' | CFO | Educational content signed by an identifiable advisor |
| 'Which independent firms handle office building sales in Houston?' | Landlord | List of firms with clear specialties |
| 'Who manages headquarters relocations to The Woodlands?' | Executive team | Public references, dedicated team |
| 'Which advisor for an industrial sale-leaseback in Texas?' | Owner-occupier | Explicit service pages |
If your advisory has no submarket pages and no published research, an AI assistant has nothing specific to say about you.
Why some advisories appear and others do not
AI assistants like ChatGPT summarize what they find in public sources. A firm described consistently everywhere is more likely to be mentioned accurately, with no guarantee.
| Factor | Often-cited advisory | Rarely-cited advisory |
|---|---|---|
| Public information | Same specialties on site, directories and profiles | Contradictory descriptions by source |
| Factual content | Pages per submarket and asset type | One generic 'services' page |
| Market research | Dated, public quarterly reports | No published data |
| Third-party mentions | Quotes in local business press | No external mentions |
| Listings | Only real, current properties | Expired listings still online |
| Team | Bios with specialties and licenses | Names without context |
| Freshness | Monthly updates | Site unchanged since 2023 |
Transactions should only be mentioned when public and with the parties' consent. Brokerage remains subject to state licensing, in Texas under the Texas Real Estate Commission: every claim on the site must stay accurate. On the site itself, ADA website accessibility suits are frequent in the US, so targeting WCAG 2.1 AA makes sense. This is not legal advice.
What this work covers, and what it costs on the market
In broad terms, AI visibility work covers an assessment of what AI assistants say about the firm, aligning public information, strengthening factual pages (submarkets, asset types, research) and structured data, then tracking over time. It usually builds on the existing website and SEO.
The market is emerging. The 2026 ballparks below come from typical US agency quotes and public rate pages: a one-off diagnostic runs roughly USD 2,500 to 7,500, a monthly engagement roughly USD 2,000 to 6,000, and large specialist agencies sometimes exceed USD 10,000 a month. At Kolonell, this work is priced on quote after a diagnostic.
How to measure results
The only honest measure is a dated record: a fixed list of 25 to 40 of your clients' questions, asked to AI assistants at regular intervals (monthly, for example), logging three things. The share of answers mentioning the firm. The accuracy of what is said (submarkets, specialties, partner names). The presence of competitors in the same answers. Then compare with inbound enquiries that name an AI assistant as their starting point.
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Mini case study
Illustrative example: Bayou Workplace Advisors, twelve tenant representation advisors. A record of 30 questions shows the firm appears in 3 answers, or 10%, and one AI assistant describes it as a residential specialist. It invests in a USD 4,000 diagnostic then USD 3,000 a month for 6 months, USD 22,000 in total (market pricing, assumption). If a single additional tenant rep assignment on a 40,000 sq ft lease earns a commission of about USD 60,000, the investment is covered about 2.7 times. Nothing guarantees that assignment: the record will show whether the citation share moves.
FAQ
Do commercial real estate clients really use AI assistants?
Increasingly for the first step: identifying firms by submarket and asset type. The final decision still comes after several meetings, often with 2 to 4 competing firms.
How much does AI visibility work cost in Houston?
Roughly USD 2,000 to 6,000 a month on the market, plus a diagnostic of roughly USD 2,500 to 7,500. Kolonell works on quote.
Can we be sure ChatGPT will recommend us?
No, nobody can promise that. Public information can be made clearer and more consistent, then the share of answers citing the firm tracked across 25 to 40 questions.
Should we publish our transactions?
Only those already public and with the parties' consent. Dated market research is often more useful than a deal list.
How long before we see a change?
Allow 3 to 6 months to observe movement on a monthly record, depending on the starting state of public information.
Find out how AI assistants describe your firm. A diagnostic records what AI assistants say today about your advisory across 30 Houston client questions. 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.
