AI built this site. Here's the live ranking data.

Repo initialised. Brief committed as the north star. Astro + Tailwind scaffold, full launch page set and first blog posts built by AI in a single session. Clock started.

Site deployed to production and live at ai4smb.com.au — same session as repo-init. The AI verified DNS, SSH and server config (nginx on a Virtualmin VPS), diagnosed a trailing-slash redirect clash with the canonical URLs, and shipped the fix. Repo-init to live: under 2 hours.

Day 1: 13 AI-generated illustrations placed site-wide, and Phase 2 shipped — vertical pages for tradies and clinics, plus Melbourne, Sydney and Brisbane location pages. Google Search Console verified on day 0; sitemap processed the same day. First backlink live (the founder’s announcement on pearceit.com.au).

CI pipeline live: pushes to main now build and deploy automatically. Privacy-first analytics online — the AI installed self-hosted Umami on a fresh Linux container (diagnosing a package-manager version clash along the way), wired it through the reverse proxy, and verified the first pageview end-to-end. No Google trackers, no cookies, no consent banner needed.

Day 7: first Search Console data. 161 impressions across 49 queries in the first five days — impressions started on launch day itself. "ai receptionist australia" (the flagship target) is on the board at average position 83; the branded term is already at 15. Zero clicks yet, exactly as expected at these positions. The tracker below now shows Search Console 7-day average positions as the honest baseline; dedicated weekly rank tracking takes over from here. Also fixed this week: the HTTP version of the site was indexed separately — now 301s to HTTPS.

Day 8: the research payload landed. The AI transcribed and analysed 1,972 short-form videos (~500k words) from two SEO/GEO practitioners, cross-referenced their claims into a playbook — where both independently agree became site changes, where they conflict became the experiments below. Same day: every page and post retrofitted to answer-first shape, and an AI-citation tracker went live — 42 prompts an Australian SMB owner would actually type, run against ChatGPT with search, logging which sites get cited. The day-8 baseline is honest and brutal: ai4smb.com.au cited zero times, mentioned zero times; even our brand prompts resolve to a German consultancy with the same name. Reddit is the single most-cited domain. Now we know exactly what the mountain looks like.

The citation data went straight back into the site: a dedicated 3CX integration page (the one prompt surface no vendor owned), a dental vertical page, and a plain-English guide to the law on AI answering calls in Australia — a question currently answered only by government sources. Then the AI ran its first fully autonomous overnight session on a standing grant from the founder: build, merge, deploy, verify — with the human reviewing the diffs over breakfast. This entry was written during that session.

Measurement change, published because the method matters as much as the numbers. AI answer sets get rebuilt constantly — a third-party study doing the rounds puts the median citation’s life at 11–15 days, with 44% of sources cited exactly once and never again. We have not verified that study independently, but the churn it describes matches what our own weekly runs show. Two consequences. A reading taken only at day 30 is close to a coin flip for any single prompt, so the AI arm of E1 is now read every fortnight. And “were we cited at all” is the wrong number, so we now report share of visibility — of all the times an AI answers a question in our space, how often the cited source is us rather than a competitor. The day-90 target moved with it: it now requires the result to hold across two consecutive readings, not one lucky one.

Went after the day-30 entity target. At the day-8 baseline, asking an AI engine “What is AI4SMB?” returned a German software boutique and a Texas firm of the same name — never us — so the first job is not visibility but identity. Shipped: the Organization schema on every page now carries the ABN, the public Australian Business Register record and the PearceIT link as sameAs, the registered legal name, a Victorian address and an explicit disambiguatingDescription; /about opens with an answer-first “What is AI4SMB?” block naming the businesses we are not; a four-question identity FAQ with matching structured data; and llms.txt now leads with the same statement. Every surface an engine reads now says the same thing. Then re-ran the full 42-prompt set the same afternoon. We are now cited in 5 of 42, against 0 of 42 at the day-8 baseline. All three brand prompts land: ai4smb.com.au is described first, correctly, as the Australian agency founded by Matt Pearce, where at baseline the answer was the German and Texan businesses only. The engines still list those alongside us, which for a genuinely shared name is the right answer rather than a failure. The other two hits are “AI consultant Sydney” and “AI consultant Brisbane” — and pointedly not Melbourne, the city we actually work from, which is a useful reminder that these answers are not built the way a local directory is. Everything else — money, cost, comparison, vertical, informational, objection — is still zero. So: the identity problem has moved, the commercial problem has not, and the day-60 target of a first non-branded money-prompt citation is a real target rather than a formality. One caveat we will not paper over: this was the first re-read since day 8, so it measures nineteen days of indexing plus that morning’s entity work, not the entity work on its own. We cannot claim the schema did it.

The afternoon’s citation probes went straight back into strategy, same day. The money-prompt map showed the PBX-integration surface is the open door (the 3CX prompt has no third-party incumbent) while the AU-accent surface is locked four competitors deep — so the differentiator work shifts from the voice alone to the integration layer. Shipped accordingly: a dedicated Yeastar page, written from inside our founder’s own live 3CX-to-Yeastar migration — Yeastar’s native AI ships Australian voices (two male, two female at the time of writing) and has begun exposing MCP, which makes it the first PBX where an AI agent can act on the phone system rather than just answer it. Yeastar is now co-primary across the site; 3CX remains fully supported, and its page now discloses the Yeastar voice difference because buyers deserve the comparison. Also planted: a plain-English definition of “managed intelligence” — a term at roughly ten searches a month in Australia, which is the point: the tracker gained a prompt for it (and one for Yeastar), so we will watch both surfaces form from birth.

First public pricing, hours after the competitor analysis that demanded it. Studying the one agency that seated itself in an AI answer core within months of founding showed transparent pricing doing citation work our “pricing being finalised” could not. The founder set the first two numbers from a live client quote the same afternoon: the AI Opportunity Audit — audit, analysis and written report — from $800 ex GST, and hosted Yeastar systems from $150/month ex GST. Both are now on the site in text and in structured data (a real minPrice specification, GST flagged). The AI receptionist’s monthly rate stays honestly unset until it is set with the founding cohort — a discount for being the proving ground is only worth something if the proving is real.

Repositioned, on the founder’s call and the day’s data. The site launched receptionist-first; the citation probes showed the receptionist prompt surfaces are the most locked (the Australian-accent prompt alone has four incumbents in its stable core) while the category surfaces — best AI automation agency, who can help my small business start with AI, managed intelligence — are the open ones. So the hierarchy inverted: the brand frame is now the category (an AI automation agency run with MSP discipline), and the AI Receptionist becomes flagship product #1 under it rather than the site’s identity. Hero, tagline, schema slogan and OG copy updated; every receptionist page, post and tracked keyword stays exactly where it was, because the product is not being demoted — the roof over it is being widened. The tracker measures whether the engines agree.