The verdict in three sentences
In Melbourne, CISOs, CIOs and risk directors increasingly use AI assistants like ChatGPT to build a first list of providers for penetration testing, SOC or incident response, before any tender. A cybersecurity firm shows up when its public information is consistent, verifiable and cited by third parties, and drops out when its certifications, services or emergency line are vague or contradictory. The work is priced on quote, measured through a dated record of the answers to the same questions, and nobody can promise you will be recommended.
What Melbourne buyers ask AI assistants
The questions below are realistic examples, phrased the way an Australian buyer would ask them. They show that the AI acts as a shortlisting filter, not just a search engine.
| Question asked to the AI | What the buyer is really checking | Where the answer must find the information |
|---|---|---|
| Which CREST-certified penetration testers are in Melbourne? | The certification is real and current | Certifications page, the body's directory |
| Who can help us reach Essential Eight maturity level 2? | A method suited to the ASD framework | Dedicated service page, technical articles |
| Incident response firm available 24/7 in Melbourne? | A clear emergency line and response time | Incident page, structured contact data |
| Managed SOC providers for a 200-staff business in Victoria? | An offer sized for their organisation | SOC page with scope and service model |
| Who supports SOCI Act obligations for an infrastructure operator? | Credible sector experience | Sector pages, public talks |
| Which firm has IRAP assessors in Melbourne? | Assessor status actually held | Team page, official list |
| How much does a web application pentest cost in Australia? | A ballpark for their budget | Indicative pricing page or FAQ with figures |
Why some firms are named and others are not
AI assistants like ChatGPT build their answers from what is published, repeated and consistent. In cybersecurity, where trust is the product, inconsistencies are expensive.
| Factor | What the AI picks up | Common gap at Melbourne firms |
|---|---|---|
| Consistent public information | Same name, address and services everywhere | Old brand name still listed in directories |
| Verifiable certifications | Clear, dated mention linked to the body | 'Certified' without saying what or by whom |
| Third-party mentions | Associations, trade press, conferences | No presence beyond the site and LinkedIn |
| Factual page per service | Scope, deliverables, duration, prerequisites | One generic 'Services' page |
| Structured data | Organisation, services, emergency contact readable | Markup missing or wrong |
| Reviews where allowed | Genuine satisfaction signal | No reviews, or unverified ones |
| Freshness | Dated, updated content | Blog stopped 18 months ago |
Two rules specific to the sector: never name a client or an incident without written consent, and never publish absolute claims such as 'total protection'. The Australian Consumer Law targets misleading statements, and an AI that repeats an exaggerated claim spreads it widely. On data, the Privacy Act 1988 and its notifiable data breaches scheme also concern your emergency contact forms. This is not legal advice.
What the work covers and what it costs on the market
In broad terms, the work covers an audit of what AI assistants say about the firm today, making public information consistent, clarifying service and certification pages, structured markup, and earning credible third-party mentions. The market is young: the figures below are 2026 ballpark ranges drawn from typical Australian agency quotes, converted approximately (AUD 1 ≈ USD 0.65).
| Service | 2026 ballpark | Note |
|---|---|---|
| Initial diagnostic | AUD 3,000 to 10,000 (about USD 2,000 to 6,500) | Question set, gaps, priorities |
| Monthly programme | AUD 3,000 to 12,000 a month (about USD 2,000 to 7,800) | Content, consistency, tracking |
| Rework of service and certification pages | AUD 5,000 to 20,000 (about USD 3,250 to 13,000) | Often paired with SEO |
| Trade press relations | AUD 4,000 to 15,000 a month (about USD 2,600 to 9,750) | Third-party mentions, no assured outcome |
| Dated record only | AUD 500 to 2,000 a month (about USD 325 to 1,300) | Measurement without the underlying work |
At Kolonell, this work is priced on quote after a diagnostic, depending on the number of services and questions tracked.
How to measure it without fooling yourself
The only honest measure is a dated record: a fixed list of buyer questions, asked to the same AI assistants at regular intervals, with the answers archived. Three indicators matter: the share of answers that mention the firm, the accuracy of what is said (certifications, services, location), and which competitors appear. Answers vary from one session to the next; only a trend over several months means anything. A provider announcing 'first place in ChatGPT' is not measuring anything serious.
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Mini case study
Illustrative example: 'Southbank Sentinel', a fictional 35-person Melbourne firm focused on penetration testing and incident response. It tracks 20 buyer questions, each asked 3 times, so 60 answers per record. In the first record it is named in 6 answers, or 10%, and two answers credit it with a service it no longer offers. Its diagnostic costs the equivalent of USD 4,000; a single pentest engagement at AUD 25,000, about USD 16,250, is 4 times that amount. Management therefore judges the stakes on accuracy and trend, not on a promise.
FAQ
Do Melbourne CISOs really use AI to choose a provider?
Increasingly for shortlisting, rarely for the final decision. A list of 3 to 5 names produced by an AI still influences who receives the tender.
How much does an AI visibility diagnostic cost?
Allow about AUD 3,000 to 10,000, or USD 2,000 to 6,500, as a 2026 ballpark. At Kolonell, the amount is set on quote according to scope.
Can anyone guarantee a ChatGPT recommendation?
No. Answers vary with the question and the session; you can improve the available information and measure the trend over 3 to 6 months, with no promise of a recommendation.
Should we publish our CREST or ISO 27001 certifications?
Yes, if you actually hold them, with their scope and date. A poorly described certification is one of the errors AI assistants repeat most often.
Can we mention our clients or incidents we handled?
Only with written consent, and preferably anonymised. An anonymised case study with 2 or 3 verifiable figures is often enough.
Find out how AI assistants describe your firm. A dated record of 20 buyer questions shows what AI assistants say today about your firm and your Melbourne competitors. 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.
