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Placeholder · Add cited sources for the statistics marked [source needed] on this pageWhat actually gets a business named
- Structured, readable information. AI engines read schema markup, clear headings and direct answers. Most Calgary websites give them none of these.
- Entity consistency. Your business name, address, phone and category identical across your site, your Google profile and every directory. Conflicting information makes a model distrust all of it.
- Question-led content. Models quote pages that answer the question directly in the first sentence, not pages that build to it over four paragraphs.
- Third-party corroboration. Reviews, directory listings and mentions elsewhere are what a model checks before recommending you.
- A verification layer that holds. Most people check the sources after an AI recommends something. Being named is only half the job.
What we do, in order
- We test. We ask ChatGPT, Gemini, Perplexity and Google AI the ten questions your customers ask before they buy, and record exactly what comes back — who’s named, what’s said and where you sit.
- We fix the readable layer: schema, structure, entity consistency, an llms.txt file, and question-led pages for every buying question.
- We build the corroboration: reviews, citations, directory presence and the Google Business Profile that AI users check when they verify.
- We re-test and show you the before and after. You see the screenshots.
AI chat that books, not chat that answers
We also build the other side: an AI assistant on your website that qualifies the visitor and books them in, a missed-call text-back that replies within about a minute, and after-hours capture so the enquiry that arrives at 9 p.m. isn’t gone by morning.
For a contractor missing a few calls a week on jobs worth thousands of dollars each, this is usually the fastest return of anything we do.