Ariad Partners rebuilt the search, measurement, and content foundation for 5 Star Interpreting, a Deaf- and interpreter-owned ASL interpreting agency serving four states: consolidating three conflicting analytics streams into one, making consent enforcement real, restructuring the site so services and industries each have room to rank, and building an AEO-ready content cluster around the questions buyers actually ask. [Add one metric-led sentence here once results are in, e.g. "Organic sessions grew X% and booking form submissions rose X% over the period."]
The client
5 Star Interpreting is a Deaf- and interpreter-owned agency providing on-site interpreting, video remote interpreting, and Certified Deaf Interpreter services across four states. Their clients are hospitals, law firms, school districts, employers, and conference organizers who need qualified interpreters, often on short notice, and who carry real legal exposure when communication access falls short.
The company's positioning is built on a single idea: access is either complete or it isn't.
Where things stood
The website was working, but the systems underneath it were not telling the truth.
Three separate Google Analytics streams were firing on every page load. One came from the tag manager container, one from a plugin configuration, and one from a hardcoded snippet buried in a header block. Each produced different numbers. No one could say with confidence which report to trust, which meant no one could say with confidence which marketing spend was working.
The consent banner was cosmetic. It displayed a notice and set a cookie, but analytics and marketing tags fired regardless of what a visitor clicked. For a company serving California-based clients and handling inquiries tied to medical and legal appointments, that was a compliance gap worth closing.
Beyond the plumbing, three structural problems were holding back organic performance:
- Navigation collapsed service types into industry verticals. Video remote interpreting sat in the same list as medical interpreting, so neither had a clean page to rank.
- Structured data was applied sitewide rather than scoped per page, which meant search engines received the same generic signals for every URL.
- Content covered what the company offers, not what buyers ask. AI assistants were citing the site as a source without naming 5 Star in their recommendations, a pattern that indicates credibility without visibility.
Service pages were also loading in more than three seconds.
What we did
Rebuilt the measurement layer
We traced every analytics call on the site, identified the two duplicate streams, and removed them at the source: one by clearing a manually entered measurement ID, the other by surgically stripping a hardcoded snippet from a code block while preserving the schema markup living in the same file. The site now reports to one property. Every number in every report resolves to a single source.
Made consent enforcement real
We reconfigured the consent platform to opt-in mode and rewired the tag manager container so analytics and marketing tags are gated behind consent events rather than firing on page load. Conversion tracking was moved behind a trigger group so form submissions only report when a visitor has actually agreed. The banner now does what it appears to do.
Rebuilt structured data page by page
Organization, LocalBusiness, Service, and FAQ schema were rebuilt and deployed per page rather than sitewide, with every schema value matched word for word to the visible text on the page. That matching discipline matters more than it sounds: it is the difference between markup that earns rich results and markup that gets quietly ignored.
Separated services from industries
We restructured the information architecture into two distinct paths. Services covers on-site interpreting, VRI, and CDI. Industries We Serve covers medical, dental, legal, education, conferences, workplace, and large events. Each page now has one job, one primary query set, and room to rank.
Built content for the questions buyers ask
We produced a blog cluster addressing the decisions clients actually face before they call an agency: when to use a Certified Deaf Interpreter, how on-site and remote interpreting differ, what ADA compliance requires for communication access, and what the role of a primary interpreter is. Each piece leads with a direct answer, carries FAQ markup that mirrors the visible copy, and links into the service and location pages it supports.
Location pages for Salt Lake City, Chicago, and Atlanta were built to the same standard.
Tested rather than guessed
Conversion rate testing is running on service pages, with page-level changes held back while tests are live so results stay clean.
Managed the platform migration
When the client moved off their CRM, the booking form, conversion tracking, and analytics connection all had dependencies on it. We sequenced the migration so the replacement form was live and verified before the legacy system was disconnected, which kept lead capture and reporting intact through the transition.
The results
[Write this section once metrics are pulled from GSC, GA4, and Semrush position tracking with a fixed before/after window, stated in the copy. Cover: organic sessions, keywords in top 10, booking form submissions, service page load time before/after, AI assistant citations and brand mentions before/after, plus the two already-known facts: analytics streams 3 to 1, and tags firing without consent down to 0.]
What we're building next
The roadmap continues with a dedicated on-site interpreting page, deeper location coverage, integration between the CRM and the dispatch platform to close the lead-to-booking reporting gap, and continued expansion of the content cluster around high-intent buyer questions.
[Client quote: Cody or Ben. Ask for something specific rather than complimentary: what they can do now that they couldn't before, or what they stopped worrying about.]
What this means for your business
Most SMB websites have a version of this story: numbers no one trusts, markup search engines ignore, and content that describes the business instead of answering the buyer. Fixing the foundation is what makes everything built on top of it work. If your analytics, schema, or AI visibility need the same honest rebuild, start with a free AI visibility audit and see where you stand.
