The verdict in three sentences
In Los Angeles, CISOs and IT directors now build their first shortlist of security providers by asking AI assistants like ChatGPT, often before they open a Google results page, and the answers name only a handful of firms. Being named depends on consistent, verifiable public information: service pages that state what you actually do, certifications presented exactly as held, and third-party mentions that agree with your site. Market budgets for this work run roughly USD 2,500 to 9,000 per month (2026 ballpark), and the only honest way to judge it is a dated record of the answers to the same buyer questions, kept over several months.
What LA security buyers now ask AI assistants
The local economy shapes the questions: studios and post-production houses protecting pre-release content, logistics operators around the ports of Los Angeles and Long Beach, aerospace suppliers, healthcare networks, Santa Monica fintechs. Their questions are long and contextual, closer to a requirements brief than to a keyword.
| Typical question asked to the AI | Who asks | What the answer needs to find on your side |
|---|---|---|
| “Which firms do penetration testing for a mid-size studio in Los Angeles?” | CISO at a studio or post house | Pentest page, sectors served, local presence |
| “Who offers a 24/7 SOC for a clinic group in Southern California?” | IT director at a healthcare network | SOC scope, hours, healthcare experience described factually |
| “Incident response retainer in Los Angeles: who answers within an hour?” | CFO or in-house counsel | Hotline, retainer terms, published response times |
| “Which providers help with SOC 2 readiness for a SaaS startup?” | CTO or founder | Compliance page, exact role (readiness, not audit) |
| “Is firm X CREST accredited or ISO 27001 certified?” | Procurement | Certifications page with scope and dates |
| “Alternatives to a large national MSSP for a 300-person logistics company near the port?” | COO | Team size, client size served, local presence |
| “What does a ransomware tabletop exercise cost in Los Angeles?” | Risk manager | Published engagement formats or ranges |
These questions share one trait: the AI is looking for precise facts. A firm with a single “Solutions” page full of jargon gives it nothing to work with, so it names better documented competitors.
Why some firms appear in the answers and others do not
AI assistants like ChatGPT assemble answers from what is published and repeated consistently. Nothing is guaranteed, but the gaps seen at cybersecurity firms look alike.
| Signal | What AI assistants seem to rely on | Common gap in cybersecurity |
|---|---|---|
| Consistent core facts | Same name, address, services and founding year on the site, LinkedIn and directories | Three different service lists depending on the source |
| Factual service pages | One page per service: scope, deliverables, duration | One “Solutions” page with no detail |
| Certifications with scope | CREST, ISO 27001, SOC 2 attestation, as actually held | Logos without scope, or expired |
| Third-party mentions | Conference talks, CVE credits, trade press, professional associations | Nothing outside the company blog |
| Structured data | Organization, Service, FAQ markup | Missing |
| Reviews where allowed | B2B review platforms, Google profile | No reviews, or reviews from 2022 |
| Freshness | Dated advisories, updated pages | Last post two years old |
Two cautions specific to the sector. First, never invent clients or incidents to look credible: the AI repeats what it finds, errors included, and a CISO checks. Second, a more visible site gets more visitors, which increases exposure to ADA Title III accessibility suits (target WCAG 2.1 or 2.2 AA) and makes a CCPA/CPRA compliant privacy notice essential for forms collecting data from California residents. This is not legal advice.
What the work covers, and what it costs on the market
In broad terms: a baseline record of answers, alignment of the firm's public facts, factual rewriting of key pages, structured data, earning credible third-party mentions, and regular monitoring. The market is young and price gaps are wide.
| Format | Typical scope | 2026 ballpark (USD) |
|---|---|---|
| One-off diagnostic | 30 to 60 buyer questions, dated record, gap report | 3,000 to 8,000 |
| Monthly program, small firm | Page updates, facts alignment, monthly record | 2,500 to 5,000 per month |
| Monthly program, mid-size firm | Several service lines, content, media relations | 5,000 to 9,000 per month |
| Specialist media relations add-on | Bylines, conference slots | 2,000 to 6,000 per month |
| In-house resource (25% of a marketing manager) | Annual salary of 130,000 to 160,000 in Los Angeles | approx. 2,700 to 3,300 per month |
These ranges reflect typical agency quotes and public rate pages; they are not a survey. At Kolonell, this work is priced on quote after a diagnostic.
How to measure without fooling yourself
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Measurement rests on a dated record: the same question set, asked every month under comparable conditions, archived with the date, the wording, whether the firm appears, the accuracy of what is said and the competitors named. Three indicators are enough: the share of answers mentioning the firm, the accuracy rate of the statements, and the sources cited. Add the commercial signal: inbound inquiries where the prospect says they found you through an AI assistant. First effects often show between 3 and 6 months, with no certainty.
Mini case study
Illustrative example: “Harbor Lane Security”, 40 people in El Segundo, sells managed SOC services to mid-size companies. The baseline record covers 40 questions: the firm appears in 4 answers (10%), and two answers wrongly state that it does not do incident response. The budget considered for year one: a diagnostic at USD 5,000, then a program at USD 4,000 per month, so 5,000 + 12 × 4,000 = USD 53,000. An average SOC contract is worth USD 90,000 a year at a 35% gross margin, which is USD 31,500 of margin. Two new contracts coming from AI-assisted shortlists (USD 63,000 of margin) cover the spend. The partner decides on that threshold, not on a promise of being named.
FAQ
Can we be certain to be named by ChatGPT?
No. Answers vary with phrasing and over time, and no serious provider can promise a recommendation. The realistic goal is to increase the share of answers naming you across a set of 40 to 60 questions.
How long before we see an effect?
Expect 3 to 6 months for the first measurable changes in the record. Corrections of factual errors on heavily read pages can show sooner.
Is this different from Google SEO?
Much of the groundwork is shared: a site with 10 to 15 clear service pages serves both. The difference lies mainly in measurement and in the weight of third-party mentions.
Can we publish client names?
Only with written permission, and NDAs are the norm in security. Anonymized sector descriptions, such as “a network of 12 clinics”, are often enough.
What does a diagnostic include?
A dated record of 30 to 60 questions, an analysis of the sources cited and a prioritized gap report. It usually takes 2 to 3 weeks.
Find out how AI assistants describe your firm. We ask your buyers' questions, archive the dated answers and show where your public information contradicts itself. 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.
