A case built on real data for the search and AI visibility work behind VaultX: what the market shows, what it costs, and why the window is open now.
Cargo theft is a large, growing search category shaped increasingly by AI. Answer engines are already handling these questions.
We ran VaultX's exact product description through ChatGPT, Gemini and Perplexity, using the kind of question a real buyer would ask.
That's nearly a word for word description of VaultX's own mechanism, yet VaultX was not recommended. Across 15 direct test queries on all three major AI platforms, VaultX was named zero times. This is a documented gap, not a hypothetical opportunity.
No spin. This is what the data shows as of this week's audit.
Two disciplines, one build. Content written to answer real buyer questions ranks in Google and gets cited by AI. Done right, these are not separate projects.
Confirm AI crawlers can reach the site. A conflicting setting currently makes this uncertain. Fix the duplicate content issue between www and the plain domain, then get Search Console and Analytics live so each next step is measured.
Target fan out, intent driven questions such as "someone broke into my container, how do I stop it" instead of generic head terms. These buyers are already primed to buy, and this is where the proven gap lives.
Steady, not a bulk dump. Flooding a young domain with content risks a spam penalty instead of building authority. Content ships on a schedule based on what is indexing and working.
Target smaller, less price sensitive fleets and container operators first. They convert faster and become case studies. That authority and proof is what makes UPS/FedEx/Nike scale conversations land, complementing Mason's own network rather than competing with it.
The competitive set is still small and largely unoptimized for AI search. Most cited material is generic industry guidance, not competitor product pages. That is a narrow window. The longer it stays open, the more it costs to catch up once competitors notice the same gap.
Priced for national B2B, not a local storefront — there is no Map Pack to lean on here. The work is content, technical foundation, and AI visibility strategy, start to finish. Figures below are before tax; applicable sales tax is added at checkout.
The foundation sprint covers what this audit surfaced: confirming AI crawler access, fixing the duplicate content redirect, adding structured data, and publishing the first wave of AI first content. The monthly retainer covers ongoing content, technical work, and a report every two weeks on citation counts, indexed pages, and ranking movement. Month to month to start, moving to standard 3 month commitment periods once the relationship is working.