AI SEO Case Study: How Avizva Grew to 374K+ Impressions

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.

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+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

Business 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

What worked?

  • 01

    An AI-first SEO approach gave early visibility in emerging search channels.

  • 02

    Structured content improved ranking speed and indexing.

  • 03

    Buyer-intent content led to more qualified inbound queries.

  • 04

    Improved rankings by targeting high-intent, conversion-focused keywords.

  • 05

    Optimized meta tags and schema across pages for better search visibility.

  • 06

    Planned TOFU, MOFU, and BOFU content using a pillar-cluster approach to boost engagement and organic growth.

What didn't work?

  • Generic blog topics showed low traction and engagement.

End Result

  • 01 Organic Visibility: Significant improvement in keyword rankings, with average positions improving from 28.1 to 19.6.
  • 02 Impressions: +374K (Massive boost in brand visibility across Google search results)
  • 03 Organic Traffic: 1,585 users (+106.64%). Rapid growth driven by expanded keyword coverage and optimized content, bringing more targeted users from Google search.
  • 04 Direct Traffic: 8,076 users (+ 147.27%). Significant rise as stronger brand presence and improved user experience encourage more visitors to return and access HelloSend directly.
  • 05 Average Engagement Time: +6.25% (From 48 seconds to 51 seconds; visitors are spending more time on the site)
  • 06 Domain Authority (DA): +13.33% (Better backlink profile & authority)
LLM Visibility
Mentions: 12
Citations: 102
Cited Pages: 50
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