AI HALO has no client logos to show you. That is the honest state of a young studio, and we would rather earn your trust with something sturdier than a wall of badges. So here is proof we can stand behind. AI HALO holds itself to the exact standard it sells, and the evidence is public.
Run the free audit on aihalo.ca and it returns a clean 100 out of 100 for AI visibility. Anyone can reproduce that result in about two minutes, from any browser, without an account. The benchmark is not a slide in a deck. The benchmark is this domain.
Paste aihalo.ca into the free reading and watch the same pipeline run that every visitor sees. The audit fetches the live site, reads it the way an AI assistant would, and scores four signals: whether a model can parse the site, whether it gets the facts right, whether it has reason to trust the business, and whether it names the business when asked. Nothing about the check is bespoke for us. Paste your own domain next and the identical machinery reads you.
Every number AI HALO quotes traces back to one document. The AI Visibility Rubric was written, versioned, and frozen before a single audit was ever sold. It fixes the point budget, the gates, the bands, and the caps in advance, so a score becomes a measurement rather than an opinion formed after the fact.
The rubric stays confidential by design, because the queries and thresholds inside it are the working method. What matters to you is what it guarantees. The same site, measured on the same day, earns the same grade whoever runs it. A site that reaches a given standard without AI HALO scores exactly as high as one that reached it with us. The rubric rewards evidence of excellence and never rewards the mere absence of a defect. That discipline is what keeps it a rubric rather than a sales prop, and it is the record we would produce to back any score we publish.
You do not have to take the grade on faith, because the raw materials sit in the open on aihalo.ca. The site publishes a plain-language briefing at /llms.txt that tells an assistant exactly what to call the business. Its robots file welcomes every AI crawler and points them at a full sitemap. Every page carries a self-referential canonical and Organization structured data, so a machine can read, name, and place the business without guessing. These are the same moves the audit looks for. We ship them on our own front door first.
AI HALO makes one promise about outcomes, and it is a promise about measurement rather than results. Every engagement includes a re-scan thirty days on, run against the identical questions, engine by engine. You see the before and the after on the prompts that matter, in real numbers. We do not control what a third-party model says, and we never claim a guaranteed ranking or mention. We measure what is observable, we show our working, and we let the delta speak.
We publish no testimonials we have not earned, no case studies we cannot cite, and no statistics we cannot source. The market numbers we do show are attributed to Gartner and Bain. The one score we ask you to weigh is one you can generate yourself in the time it takes to read this page. When client results arrive, they will arrive the same way every other number here does: measured, dated, and reproducible.
The raw signals, to open and read for yourself:
Questions
Because the score is one you can reproduce rather than one you have to believe. Run the free audit on aihalo.ca and you will see a clean 100. Run it on any site and the same machinery reads it. Trust you can check beats trust you are asked to grant.
Yes. Paste aihalo.ca into the free reading on the home page, from any browser, with no account. The audit fetches the live site and returns the same 100 out of 100 every time.
The rubric holds the working method, the queries and thresholds and weights that turn a live reading into a grade. What you need from it is public. The same site earns the same grade whoever runs it, and a site that reaches the standard without AI HALO scores exactly as high as one that reached it with us.
It runs the identical questions thirty days after the work ships, engine by engine, and shows the before and the after in real numbers. AI HALO measures the movement rather than promising it, and never claims control over what a third-party model decides to say.
aihalo.ca is the reference implementation the audit is calibrated against. It publishes every signal the audit rewards, an llms.txt briefing, welcoming crawler rules, a full sitemap, canonical links, and structured data, and it stands as the benchmark a perfect score describes. Run the audit and reproduce the 100 for yourself.