The verdict in three sentences
In Houston, a B2B software buyer, whether running operations at a midstream operator, IT at a Texas Medical Center hospital or finance at a port logistics firm, increasingly puts the first shortlisting question to AI assistants like ChatGPT. The vendors that get named are the ones whose product, integrations, security and pricing pages are factual, consistent and echoed by third parties, not the ones with the biggest ad budget. This work is managed with a dated record of answers to the same questions, it is priced on quote, and the US market bills it at roughly 5,000 to 15,000 USD for a diagnostic as a 2026 ballpark.
The questions Houston buyers ask before they call you
A funded vendor at Series A or B rarely sells to a single decision maker. The operations lead looks for a solution, IT checks security and integrations, finance compares total cost, and an outside consultant sometimes builds the shortlist. Each one asks AI assistants in their own words. Realistic examples for the Houston market:
| Question asked (example) | Buyer profile | Page that must answer |
|---|---|---|
| Which field service software fits an oil and gas operator in Texas? | VP of Operations | Energy sector page, real use cases |
| Which methane emissions monitoring vendors have a SOC 2 Type II report? | IT security lead | Security page, reports actually held |
| Does this software integrate with SAP S/4HANA and an AVEVA PI historian? | IT architect | Integrations page, connectors listed with their depth |
| What does this software cost per user per year? | CFO | Pricing page, or pricing logic explained |
| Are there Houston-based alternatives to the large asset management vendors? | Selection consultant | Honest comparison page, local presence |
| Is this vendor financially stable, who are its investors? | Procurement and legal | Company page, funding as announced |
| Which logistics planning tools are used around Port Houston? | Supply chain director | Real customer stories, sector pages |
| Does the tool meet accessibility requirements for our staff? | HR or compliance lead | Accessibility statement, WCAG target |
The financial stability question comes up often in enterprise procurement. If your round is not on your site, nor in a press release or public database, AI assistants answer with whatever they find elsewhere, sometimes outdated information. Publish only real, announced amounts and investors.
What separates a vendor that gets named from an invisible one
| What the buyer checks | Where AI assistants look | Typical weakness of a funded Houston vendor |
|---|---|---|
| Product and sector fit | Sector pages, use cases, public documentation | Generic pages, fundraising vocabulary instead of industry language |
| Security and compliance | Security page, trust center | SOC 2 or ISO 27001 badges with no scope or date |
| Integrations | Integrations page, partner marketplaces | Logo wall that does not say what is native or custom |
| Pricing | Pricing page, third-party comparisons | No benchmark at all, not even a range or pricing logic |
| Customer proof | Case studies, reviews on B2B platforms | Anonymous testimonials, logos used without consent |
| Consistency | Public profiles, press releases, directories | Different positioning across site, profiles and investor deck |
| Freshness | Release notes, dated blog | Last news item dates from the funding round |
The costliest mistake is claiming a certification you do not hold. A SOC 2 Type I report is not a Type II, compliance in progress is not compliance achieved, and an AI assistant repeating an inaccurate claim exposes your sales team in front of procurement. On the site side, ADA Title III accessibility complaints remain frequent in the US: targeting WCAG 2.1 or 2.2 AA is a sensible precaution. For commercial email, the CAN-SPAM Act applies, and Texas, like other states, has its own personal data law. This is not legal advice.
What the work covers and what it costs
An AI visibility engagement for a B2B vendor covers, in broad terms: a review of what AI assistants say about you and your competitors, clarified product, security, integrations and pricing pages, consistency across site, profiles and press releases, presence in the third-party sources that matter in your sector, structured data and measurement. The market is emerging: the prices below are 2026 ballpark figures drawn from typical agency quotes and public agency rate pages.
| Service | Market range (2026 ballpark) | What drives the price |
|---|---|---|
| Initial diagnostic | 5,000 to 15,000 USD | Number of questions, competitors and segments |
| Factual rework of product and security pages | 8,000 to 25,000 USD | Number of modules and integrations |
| Monthly support | 3,000 to 10,000 USD per month | Content volume, trade press outreach |
| Structured data and technical fixes | 2,000 to 6,000 USD | Site stack, number of templates |
| Related accessibility audit | 3,000 to 12,000 USD | Site size, depth of testing |
| Measurement only, monthly record | 1,000 to 3,000 USD per month | Number of questions tracked |
At Kolonell this work is on quote, calibrated to your segments and sales cycle.
How to tell whether it works
Measurement uses a dated record: the same list of questions, asked every month, answers archived. Three numbers matter: the share of answers naming the vendor, the accuracy of what is said (certifications, integrations, sectors) and your position against the competitors named in the same answers. Nobody can guarantee an AI recommendation. Then cross the record with your CRM: demo requests citing an AI assistant as source, cycle length, shortlist rate.
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Mini case study
Illustrative example: Bayou Grid Software, a Series A vendor of emissions monitoring software for midstream operators, based in the Energy Corridor. Its first record covers 30 questions: the company is named in 3 answers, 10%, and 2 answers credit it with a SOC 2 Type II report it does not yet hold. Hypothetical budget: an 8,000 USD diagnostic plus 6 months at 4,000 USD, 32,000 USD in total. With an assumed annual contract value of 60,000 USD, one signed contract covers the spend almost twice (60,000 / 32,000 = 1.875). The working goal would be 9 mentions out of 30, 30%, with zero certification errors. These figures illustrate the reasoning, not a result.
FAQ
Do we need to publish prices to be named by AI assistants?
Not necessarily an exact price, but a readable pricing logic helps a lot: per user, per site, per volume. A range such as from 20,000 USD per year gives AI assistants a verifiable benchmark, while an empty page pushes them toward third-party sources.
Should our funding round appear on the site?
If it was announced publicly, yes, on a factual company page. Procurement teams check vendor stability, and clear information stops AI assistants from repeating old or wrong figures.
How long before we are named more often?
As a ballpark, allow 3 to 6 months for visible effects in a 30-question record. Factual errors corrected on your site and profiles often disappear faster.
Can an agency guarantee that ChatGPT will recommend us?
No. AI answers cannot be controlled, and any contract promising a recommendation should be dropped. The work is on clarity of information, measured over 6 to 12 months.
What does a Kolonell diagnostic cost?
It is on quote, after a conversation about your segments and competitors. As a benchmark, the US market charges roughly 5,000 to 15,000 USD in 2026 for a comparable diagnostic.
Find out how AI assistants describe your firm. We record what AI assistants tell your Houston buyers today, against your competitors, and size the priority fixes. 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.
