Your next customer asked ChatGPT who to call.
Compare local firms that can show completed projects covering design, construction and lighting. Check the service area and ask who owns the whole project.
Look for the linked sources, then open them. A useful recommendation should be checked against the contractor’s own scope, recent work and independent reviews.
Check each search surface with the same questions.
Illustrative map of search surfaces. Coverage and answers vary by product, mode, question and date.
Four checks we can act on.
Is the business clear?
A buyer should be able to identify the service, location, suitability and next step. Keep the business name and contact information consistent across relevant pages and listings.
Can someone verify the proof?
Link claims to named work, dated results and relevant independent sources. A directory listing or press mention is useful only when it is accurate and appropriate to the business.
Does the page answer a real need?
Group questions about the same buyer task on a strong page. Create another page when the buyer’s task, offer or local evidence is different enough to need its own answer.
Who stands behind the information?
Name the business and the people responsible for the work. Use relevant experience and credentials, with a way to contact the team or verify a claim.
Numbers we can show you, with the dates on them.
In August 2026, Blue Tree reported a homeowner who said they found the business through ChatGPT.
Blue Tree’s sales team reported these customer discovery experiences.
The work, from baseline to review.
Measure the questions
Build the answer pages
Make it machine-readable
Earn the mentions
Start with the questions your buyers ask.
An initial website check. The report shows its date and coverage.
The questions owners ask us on the first call.
What is AI search visibility?
It is how a business or its content appears in AI-generated answers to relevant questions. A mention, a citation and a customer enquiry are different events, so we record them separately.
How is this related to SEO?
Useful pages, crawl access, internal links and accurate business facts support both search and answer discovery. AI visibility adds product-specific observations; it does not replace the underlying search work.
Which engines do you check?
The scope names the search and conversational products relevant to your buyers. Each check records the product and mode, questions and date. We do not assume that one result represents every engine.
How soon will answers change?
There is no reliable product-wide deadline. Search access, crawling, retrieval, competition and feature settings all matter. We agree implementation milestones and review dates, then repeat the same bounded question set. We do not promise a citation or a model retraining date.
What does the service cost?
Ongoing ROI.LIVE engagements start at $5,000 a month, with most ranging from $5,000 to $15,000. The written scope sets deliverable volume, review responsibilities, term and separate costs. Media and approved software are billed at cost. Availability is confirmed before signing.
How do you measure progress?
Record the engine, mode, question set, geography, date and sampling method. Track business mentions and cited URLs separately, then review search data and qualified demand where available. Google’s current Search documentation describes a Generative AI performance report; use the reports available to the property and keep their scope distinct from our sampled answers.