Growth-led AI SEO Case Study
How growth.cx leveraged AI SEO strategies to boost Avizva’s organic visibility, improve keyword rankings, and Impressions from 95.6K to 374K.
+374K
Organic Impressions
+16.8%
Organic Traffic
+3.5+
Direct Traffic
About Avizva
Avizva is a healthcare technology company that builds digital platforms for payers and providers, enabling care management, claims processing, and member engagement to improve operational efficiency and patient outcomes.
Pain Points Faced by Avizva
- Low visibility in AI-generated search results (ChatGPT, SGE, Perplexity)
- Heavy dependence on branded and referral traffic
- No structured topic authority in healthcare IT keywords
- Existing blogs are not optimized for intent or AI retrieval
- Poor coverage of high-intent BOFU keywords
Website :
https://www.avizva.comBusiness Type :
B2B SaaS
Offices :
Reston, VA, USA
Industry:
Healthcare IT & Insurance Technology
Ideal Customer Profile :
Regions: USA
Buyer Persona: A. All C- suite executives: CTO, CIO, CEO B. VP Technology, Director Technology C. Decision makers in tech in the healthcare industry
Company Size: Mid-to-large tech companies (100–1,000+ employees)
Challenges
- Highly competitive space (healthcare IT + insurance tech)
- Long sales cycle → needed high-intent content
- Generic content is not ranking or getting picked in AI summaries
- Lack of content depth + semantic coverage
- No topical clusters or authority signals
- Difficulty in capturing decision-maker intent searches
Our Observations & Analysis:
- Existing content was generic and not aligned with buyer-stage intent
- AI tools prioritize: Structured content, Clear entity relationships, Problem-solution clarity.
- Weak internal linking and poor content depth
- High-value keywords like: Healthcare IT companies, Health insurance software providers, Claims management platforms.
- Missing AI-friendly structured content (entity-based, semantic SEO)
Our strategy & execution
- Conducted audits to identify gaps in robots.txt, sitemap, and canonical tags
- Analyzed high-volume keywords and grouped them into targeted clusters
- Applied AEO & GEO optimization with structured data and intent-focused content
- Updated robots.txt, fixed broken links, and resolved GSC and W3C issues
- Implemented canonical tags to avoid duplicate content issues
- Optimized meta titles, descriptions, and schema for better visibility
- Analyzed high-volume keywords and grouped them into targeted clusters