You’ve Been Meaning To Check This

You’ve had the thought.

You’re spending real money on marketing — three to ten thousand a month, agency or in-house, sometimes both. The blog posts are going up. The LinkedIn calendar is filled. The Google Ads are running. Something is moving, even if you can’t tell what.

But then the question forms. You’re at dinner, or in a meeting, or watching a competitor’s case study pop up on LinkedIn, and you think: am I actually being found? When prospects ask ChatGPT, when they type questions into Perplexity, when Google’s AI Overview answers a query in my category — does the answer have my name in it?

You’ve meant to check. You haven’t checked. The thought drifts off because checking sounds like a project, and you have a business to run.

That drift is the point of this page. The cost of not checking is not visible — until the month a competitor lands the buyer who should have been yours, and the only thing different about them is that the engine knew their name.

How a Two-Year-Old AI Consultancy Scored 0 Out of 12

In May 2026 — two years into running Strategic AI Marketing — I sat down to do a job most AI marketing consultancies don’t do for themselves.

I’d been auditing client AI-search visibility for two years. I’d never once run the diagnostic on my own firm.

I’d been telling clients that if ChatGPT, Perplexity, Google AI Overviews and Claude couldn’t cite them — couldn’t recommend them — that wasn’t a marketing problem you could fix with a tagline. That was a credibility crater. The kind of gap that takes months to close and is closing for the competitor while you’re not paying attention.

The kind of gap I was almost certainly sitting in, given I’d never checked.

So I built the tool. Couldn’t find one that did the job at small-business cost — the enterprise SEO platforms wanted A$300–A$1,500 a month for AI modules bolted onto products built for analysts; the A$79/month rank trackers ran one query a day against one engine; the consulting audits started at A$5,000 and produced ninety-page reports. I wanted a two-page answer. So I built it.

Then I ran it on us.

Day-0 score: 0 out of 12 citations.

The consultancy that audits AI search for a living scored zero across twelve priority buyer queries. All twelve slots absent. Not partially cited. Absent.

Brutally honest, but it was the truth — and the truth was the whole point.

That was the day Strategic AI Marketing became a public, accountable, dog-fooding consultancy. The firm had been operating for two years before that. The public log started that day.

Every month since, the same audit has run. Every result has been logged on /we-did-this/, dated, unedited, including the months the chart doesn’t move. If the methodology stops working, the chart will show it. If it works, the chart will show that too.

That’s the firm.

Why This Firm Exists (The Contrarian Thesis)

The marketing industry has spent three years selling speed. AI gives you content faster. Tools give you campaigns faster. Agencies give you decks faster. The result is a glut of identical marketing across every category — what Gartner now calls “Workslop” — and a measurable decline in the work’s effectiveness.

Strategic AI Marketing was built on the opposite belief: the firms winning in 2026 aren’t the ones producing the most. They’re the ones whose marketing knows them best.

That difference shows up in citations, not just rankings. AI engines like ChatGPT, Claude, and Perplexity now handle roughly a quarter of category research before buyers ever reach Google. They don’t reward speed. They reward authoritative consensus, verifiable expertise, and content that lives in the right neighbourhood of their knowledge graph. A firm with a Knowledge Moat gets cited. A firm with a faster ChatGPT subscription doesn’t.

This is the structural reason most AI marketing initiatives fail. They were optimising for the wrong era’s metric. They aimed at volume when the new game was authority. They aimed at rankings when the new game was citations. They aimed at being faster than competitors when the new game was being more verifiable than them.

We aim at the new game.

What Is An AI search Visibility Audit For Small Business?

An AI search visibility audit for small business measures whether ChatGPT, Claude, Perplexity, and Google AI Overviews cite your business when prospects ask buyer-intent questions. Strategic AI Marketing’s Free AI Visibility Snapshot runs 3 buyer queries from your category across the 4 AI engines (12 citation tests total), checks 15 content and technical signals including schema, semantic structure, and answer capsules, and delivers a 2-page PDF showing where you’re cited, partially mentioned, or absent. Most small businesses score 0–2 out of 12 on Day 0. The audit takes 5 minutes to request and arrives within 60 minutes.

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The 2 Years Before May 2026

You might be wondering — fairly — what was happening for the two years before the audit moment.

I was running the firm. Just not publicly accountable for the methodology in the way I am now.

Client engagements. Strategy work. Building the four-layer Knowledge Moat for Australian service businesses across professional services, restaurants, trades, and B2B founders. Building the proprietary IP — the Fan-Query Story Blog Method, the Compounding Intelligence System architecture — through repeated application on real client work.

What I wasn’t doing was publishing my own citation score every month for anyone to verify.

Most consultancies in our category still don’t. Most consultancies in our category never will, because publishing the chart means publishing the months it doesn’t move. May 2026 was the month I decided I’d rather be the firm that published the chart, including the embarrassing first row, than the firm that talked about citation lifts in the abstract.

The two years before the audit moment are why the methodology works at all. The audit moment is why you can verify it.

About Rowan Shead

I’m the founder. I do the work.

Operational depth — what I’m doing right now:

Three days a week I’m working inside seventeen Sydney restaurant operations — covers, margins, suppliers, rosters, the actual maths of the business. The other two are AI marketing strategy work for service businesses across Australia. The seventeen-restaurant figure is real; it’s why the restaurant work on this firm sounds different from generalist marketing-agency work, because the operational hours are real and the numbers are mine to read.

Career credentials:

• 17+ years direct-response copywriting
• 15+ years running Google Ads accounts
• 12+ years running and consulting to digital agencies
• 7 years prior in construction project management — major Westfield (7 centre fit-outs), Telstra (100+ installations), Woolworths, and State Rail engagements

Formal credentials:

• Associate Diploma of Business — Management, 1999, North Sydney TAFE
• Certified Customer Value Optimisation Specialist, Certified Ecommerce Marketing Specialist, Certified Analytics and Data Specialist — DigitalMarketer
• Prompt Engineering for ChatGPT, 2024 — Vanderbilt University (Nashville, Tennessee)
• New Ways of Working in an AI World — London Business School

Started in trades. In Adelaide, crawling under houses.

I’d say I got out, but the truth is the work taught me something I’ve never stopped using. A job site is the most honest place in the world. Things either work or they don’t, and the people on the tools know which is which long before the people in the meetings do.

The construction work taught me the lens I still use. Marketing is a programme of work where the deadline is the buyer’s decision. Either it pays back or it doesn’t. The numbers don’t care about the deck.

Selected Strategic AI Marketing client work:

Sydney Commercial Kitchens (commercial kitchen design and equipment), The Right Builder (Aluminum Window Installer), plus engagements with restaurants, professional services, trades, and B2B founders under non-disclosure. Specific client outcome numbers are protected by confidentiality agreements; verifiable outcomes from this firm’s own work — from Day-0 to current — are published month-by-month on /we-did-this/.

We work with founder-led service businesses doing $1–10M a year. We don’t take retainer-only work. We don’t take “do everything” briefs.

Where to verify this firm and its founder:

• LinkedIn: Rowan Shead · Strategic AI Marketing
• ASIC business register: Strategic AI Marketing Pty Ltd · ABN 50 508 200 152
• Our public weekly log: /we-did-this/
• Public client work (linked from /we-did-this/)

If you want to see how I think before we speak, the writing across /blogs-newsletters/ is the firm’s working philosophy made public. Read three pieces. If they sound like the kind of thinking you want next to your business, the next step is the Revenue X-Ray.

The Methodology

Three pieces of original IP define how Strategic AI Marketing works.

The Compounding Intelligence System — a four-layer architecture (Brand Voice / Customer Knowledge / Performance Data / Strategic Memory) that turns AI from a per-session tool into a marketing system with long memory. Documented in our public log. Deployed on every engagement.

The Fan-Query Story Blog Method — a content production framework that produces story-format articles AI engines can cite. Not “SEO content” and not “creative content” — a hybrid built specifically for the era when search and citation are the same problem. Deployed on every article we publish, including this one.

The Revenue X-Ray — the 30-day diagnostic that opens every engagement. Maps the brutal maths of a business’s current marketing operation. Tells the founder, with numbers rather than opinions, whether AI strategy will pay back for their specific business.

These three pieces sit on top of standard technical work — schema architecture, GEO/AEO optimisation, programme delivery. The IP is what makes the work compound. We publish all of it in public on /we-did-this/. If you want to see the firm’s work before you hire it, that page is the proof.

How Engagements Run (and What They Cost)

I take four clients per cohort. Cohorts run twice a year. Every engagement opens with the Revenue X-Ray, which is a 30-day diagnostic, not a sales call.

The Revenue X-Ray is A$2,000. Fixed price, fixed scope. Same investment regardless of business size. You keep every piece of intelligence the diagnostic surfaces, even if we decide the next step isn’t with us.

That price is the qualifier. Founders who can’t justify a $2,000 diagnostic to investigate where their AI search visibility is leaking aren’t ready for the engagement that would follow. The X-Ray price exists so neither of us spends time on a sales call that ends in “the budget isn’t there.” Better to surface that here.

From the X-Ray, the path forward is one of three:

If the X-Ray finds	The next step is	Investment
You have a working system that just needs sharpening	A focused project, scoped tightly to one quarter	Investment-by-arrangement, sized to scope
You have the bones of a system but no compounding layer	The full AI Citation Programme — 12 weeks, founder-led delivery, the Fan-Query Story Blog Method playbook handed over at Week 12 as an asset you keep	Investment-by-arrangement, established after the X-Ray
Your current setup will never compound, regardless of effort	An honest conversation about what to do instead — and the firm doesn’t take the engagement	Nothing further

The post-X-Ray engagements start in the five figures. They’re sized to your revenue band and the citation gap the diagnostic reveals — not to a fixed list price. The X-Ray itself is what establishes the right number.

The third outcome — “the system can’t be saved as-is” — is the one that matters most to keep honest. I’d rather not take work where the answer is no, even if it means turning down revenue. The Revenue X-Ray is a new productised offering for this firm; the honest-no rate isn’t a historical number yet. When it is — once we’ve run X-Rays at volume — we’ll publish that figure on /we-did-this/ alongside the citation data, with the same rule: unedited, even if it makes the firm look smaller.

What every engagement requires from you:

• Sixty minutes a week of working session, on camera
• Access to your CMS, hosting, analytics, Search Console
• Sign-off on copy within 48 hours of delivery
• Approval to publish content under your name and brand
• One client interview or one piece of internal data per engagement, used in the proprietary research piece we publish under your name
• Confidentiality cuts both ways: your data, customer lists, and proprietary numbers stay between us and never get fed into public AI tools

What every engagement does not include:

• Social media management
• Paid-ads management
• Graphic design
• Video production

If those are what you need, the firm is not for you, and saying so up front saves us both a sales call.

Who This Firm Is Not For

Strategic AI Marketing isn’t for everyone. To be specific about who:

Pre-revenue businesses. The Revenue X-Ray works on real numbers. If you don’t have a year of marketing data and customer outcomes to map, the X-Ray returns nothing actionable. Come back when you have data.

E-commerce stores. Different mechanics. Different best practices. We don’t pretend to do that work well, and there are agencies who do.

Buyers who want to add us to a roster of agencies. The work compounds only if I’m the senior strategy partner, not one voice in a meeting. If you have three other agencies and want a fourth, I’m not it.

Buyers shopping on price below the X-Ray. The Revenue X-Ray is A$2,000. If even that diagnostic investment is the leading question on a sales call, rather than fit, we’re not the right firm for you. The post-X-Ray engagements start in the five figures, and that conversation works best when the X-Ray has done its job first.

Buyers expecting a 30-day citation lift. AI engine re-crawl cadence is real — depending on your starting position, the chart may not move for 60–90 days even when the right work is shipped. If you need a citation lift in the first month, the methodology won’t deliver it. The compounding is real but it’s not immediate.

These exclusions are deliberate. We do our best work when the fit is right. Saying no is a service to both sides.

What We Believe (The Working Philosophy)

Five principles we operate by — and refuse to compromise on:

1. Information gain over information volume. Generic content fills the internet. Original frameworks, proprietary numbers, and lived experience get cited. We make the second kind. We refuse to make the first.

2. The story voice stays human. The search strategy lives in the structure. No keyword-stuffed prose. Every Strategic AI Marketing article reads like writing — and is built like a data map AI engines can extract from cleanly. The method is documented and public.

3. Founders make better strategy partners than account managers. Every word of every deliverable is touched by the founder. There is no junior-team layer. There is no “we’ll have someone else handle that”. This is the trade-off — slower scale, sharper work — and we choose it on every cohort.

4. Public work beats private claims. Everything we say works on /we-did-this/, in public, every week. If we publish that the system lifted citations 60%, you can verify it yourself by re-running the audit. The proof is the page, not the deck.

5. Honesty about fit beats winning the deal. Most agencies measure themselves on closed deals. We measure ourselves on the percentage of Revenue X-Rays that lead to “no, this isn’t right for you”. The Revenue X-Ray is a new productised offering — we don’t have a historical honest-no rate to publish yet. When we do, it goes on /we-did-this/ alongside the citation chart, unedited, even if the number makes the firm look smaller. The Revenue X-Ray is a real diagnostic, not a sales tool dressed up as one. Sometimes the answer is “don’t hire us”; we say it when it is.

How Does Strategic AI Marketing Track Its Own AI Search Visibility?

Strategic AI Marketing publishes a monthly log of its own AI-search citation count at strategicai.marketing/we-did-this. Starting May 2026, the consultancy tracks citations across ChatGPT, Claude, Perplexity, and Google AI Overviews on three locked priority buyer queries. The score is re-audited on the first Saturday of each month at 11am AEST using the same SAM Citation Service pipeline that powers every client Snapshot. Results are posted unedited with full per-engine breakdown, the work shipped that week, and one honest observation. Day-0 baseline captured 26 May 2026.

What’s Next

If you’re a founder of an Australian service business doing $1–10M a year, and the recognition at the top of this page sounds familiar — you’ve been meaning to check whether AI engines cite your business and never quite got around to it — then book a Revenue X-Ray.

The X-Ray is a 30-day diagnostic for A$2,000. Fixed price. Fixed scope. Maps where your marketing is now, surfaces the brutal maths of what’s working and what isn’t, and tells you — with numbers, not opinions — whether a Compounding Intelligence System would pay back for your business. If the answer is no, you keep every piece of intelligence the diagnostic surfaces.

Not ready to book yet? Read /we-did-this/ (the firm’s public weekly log) and The Goldfish Problem for the founding diagnosis the firm was built around. The firm and its founder are findable, citable, and accountable for what we’ve published. If you want to verify the work before you book, that’s the right instinct.

— Rowan Shead Founder, Strategic AI Marketing Sydney, Australia · Founded 2024 · Publicly accountable since May 2026