Our own numbers, including the bad ones.
We tell clients their marketing should be measured, so ours is too — and published. Everything below is read straight from the data files this studio's engine writes. Nothing here is typed by hand, which also means nothing here can be quietly improved.
AI citation share
last probed Aug 17, 2026We ask four assistants the questions our buyers actually ask, then check whether they name us unprompted. This is the metric the whole AI-readiness thesis rests on, so it gets published whether or not it flatters us.
0%
0 mentions across 418 probes
- openai 0/110
- perplexity 0/110
- gemini 0/110
- claude 0/88
Zero, and that's the honest state of it. The site launched recently and assistants are slow to pick up new sources — which is exactly the problem we build for clients, so we're the test case. This number is the one we're working to move, in public.
The audit corpus
Real small-business sites our engine has scored, across 6 industries.
78
sites measured
47
median score
This site, on mobile
Aug 17, 2026Google PageSpeed Insights on our own homepage — the same instrument the free audit runs on prospects.
- Performance
- 84
- SEO
- 100
- Accessibility
- 100
- Best practices
- 100
- LCP
- 3.74s
Search presence
Aug 10 – Aug 16Google Search Console, most recent collection window. One window, not a running total — the windows overlap, and summing them would inflate the number.
1
impressions
0
clicks
1
queries
What it costs us to run
Model spend on the things that serve you, priced from published rates.
—
per-audit cost — metering just started
$1.23
AI-citation prober + content critic, all time · 610 calls
This is what the engine costs to run — it excludes what it cost to build. Development is the larger number by a wide margin, and it isn't recurring. Excludes gemini-2.5-flash, gpt-5-mini, sonar: no published rate configured, so their tokens are counted and their cost is not.
What our rebuilds move
Not yet. Every project gets scored before we start and again at launch, but no rebuild has been re-scored yet, and an average built on that would be an anecdote wearing a statistic's clothes. This section fills itself in once there are three. The case studies so far →
Where these come from
Each number is read at build time from the append-only data files our own collectors write — the AI citation prober, PageSpeed, Search Console, and the engine's own token ledger. Nothing on this page is entered by hand, so it can't be tidied up before publishing.
Sections appear only when there is real data behind them, and a figure we can't yet stand behind is stated as missing rather than omitted. If a card isn't here, the measurement isn't either.
Rebuilt with the site, so the figures move when the underlying data does — not on a marketing schedule.