Tax engineering. Healthcare AI. Machine-learning infrastructure. These are markets where generic content doesn't rank and one new customer is worth a lot. Here's what changed when search became a real channel.
Trusted by US teamsin healthcare AI, fintech, AI/ML and B2B software
A US cost-segregation firm with 9 organic visits a month. We rebuilt the site architecture around cost segregation, depreciation and R&D tax-credit silos, then published the explainers CPAs and property owners actually search for.
Healthcare AIAn AI medical-coding and claims platform starting at DR 15. We built a clinically precise ICD-10 resource hub that now ranks for high-volume diagnosis-code searches revenue-cycle teams run every day.
“Healthcare content has to be clinically precise, not just keyword-optimized.”
AI / ML infrastructureA computer-vision data platform competing with Towards Data Science and university research pages. We out-depthed them: topic clusters and visual explainers that made Akridata the definitive answer for core ML concepts.
“They built us into the go-to technical resource that ML engineers actually bookmark and share.”
Cost Segregation Services Inc (CSSI) helps US commercial property owners accelerate depreciation through cost segregation studies and R&D tax credits. When we started, the site drew 9 organic visits a month. Eighteen months later it drew 3,065 — a 340x increase worth an estimated $364K a month in equivalent ad spend.
The challenge. A niche, high-value B2B market where a single study can save a client hundreds of thousands of dollars, but where the searches are technical ("accelerated depreciation", "cost segregation study cost") and established firms owned the results.
What we did. Rebuilt the site architecture into cost segregation, depreciation and tax-credit silos; published an educational library for property owners, CPAs and real-estate investors; and targeted long-tail tax terminology with strong commercial intent.
RapidClaims automates medical coding and claims workflows for US healthcare providers. Starting from Domain Rating 15 and near-zero visibility, organic traffic grew from 292 to 5,460 monthly visits over 24 months — 18.7x — with an estimated $669K a month in traffic value.
The challenge. Healthcare is a YMYL category: every page has to be clinically accurate and written in the language coders and revenue-cycle managers use, and established health-IT vendors owned every meaningful keyword.
What we did. Built topic clusters around high-volume diagnosis codes, connected clinical coding content to business outcomes like denial rates and coder productivity, and earned links from medical and health-IT publications.
Akridata is a data platform for computer-vision and deep-learning teams. Instead of chasing volume, we built depth: 45% of Akridata's ranking keywords now sit in Google's top 3, at Domain Rating 53, with traffic peaking at 5x the starting point before settling at the category's natural search volume.
The challenge. Competing with Towards Data Science, Medium and university research pages for technical AI/ML concepts — an audience that ignores surface-level content.
What we did. Comprehensive topic clusters around computer vision and deep-learning concepts, visual explainers for complex math, and internal linking that connects educational content to product use cases.
None of them came from tricks. They came from expert content, clean architecture and patience.
In technical categories, the most complete and accurate answer wins — for Google and for the AI engines that summarize it.
Clear silos and internal links told Google exactly what each site was an authority on.
Every engagement had a slow start and a clear inflection point. The growth after it is what makes SEO the cheapest channel.
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