Scaling SEO with AI in 7 Months: Team Infidigit’s Oncology Success
The Client
Everhope Care is a comprehensive cancer treatment and care provider focused on delivering advanced oncology services with a patient-first approach.
The platform was launched as a completely new website, built to educate patients about cancer types, treatments, diagnostics, and care pathways.
Since it was a newly launched healthcare domain, it had:
- No historical SEO authority
- No topical depth
- No established rankings
- No non-brand visibility
- No organic lead generation
- No AI search presence
The website needed to build trust, visibility, and authority from scratch in one of the most competitive niches — healthcare.
The Objective
To build organic presence from the ground up by improving:
- Non-brand clicks
- Non-brand impressions
- Top-10 ranking keywords
- Organic sessions
- Qualified patient leads
- A website visible in AI-powered search results
The overarching objective:
Make Everhope Care discoverable to patients actively searching for cancer treatments, symptoms, and care options — not just branded queries.
The larger goal:
Not just rank — but become a source AI engines cite and surface.
The Challenge
1. New Domain in a YMYL Healthcare Category
Healthcare content requires strong authority, trust signals, structured clarity, and medical credibility. Ranking alone is difficult – AI inclusion is even harder.
2. No Topical Authority Across Cancer Treatment Clusters
Search engines and AI systems need deep, interconnected content to understand medical expertise.
3. No AI Visibility Signals
At launch, AI search presence (Semrush AI visibility) was zero. The domain was not part of the generative result sets.
4. Structural Gaps Limiting Machine Understanding
Limited internal linking, low indexation depth, and minimal semantic layering restricted both crawlability and AI comprehension.
The Solution
Instead of traditional SEO alone, we built an:
AI-Optimised Oncology SEO Framework
A hybrid strategy combining technical SEO, topical clustering, semantic structuring, and generative engine optimisation (GEO).
1. AI-First Content Architecture (Generative Engine Optimisation)
We structured cancer treatment pages to align with how AI models process information:
- Clear question-answer structures
- Context-rich medical explanations
- Entity-based writing (cancer types, treatment methods, procedures)
- Concise definitions + expandable depth
- Structured FAQs targeting conversational queries
This improved:
- AI extraction capability
- Featured snippet eligibility
- AI Overview inclusion potential
2. Oncology Cluster-Based Topical Authority Model
We built tightly connected content clusters:
- Core Treatment Pages
- Cancer-Type Pages
- Treatment Combinations
- Supporting Educational Resources
Each cluster reinforced semantic relationships.
This enabled:
- Stronger algorithmic topic understanding
- Multi-keyword ranking lift within clusters
- Increased generative relevance
3. Structured Data & Machine-Readable Enhancements
We implemented:
- Medical-relevant schema
- Structured heading hierarchies
- Optimised breadcrumbs
- Semantic HTML improvements
The objective:
Make the content machine-readable for both search crawlers and AI systems.
4. Indexation Depth Expansion Strategy
We scaled indexed pages through:
- Clean URL architecture
- Canonical alignment
- Template-level structural optimisation
- Crawl path reinforcement
Result: Greater content surface area for both traditional search and AI training exposure.
5. Scalable Internal Linking Intelligence Framework
A systematic internal linking system was built to connect:
- Treatments – Cancer types
- FAQs – Core pages
- Informational content – Conversion pages
This strengthened:
- Topical authority
- Crawl efficiency
- Entity relationships
- Semantic reinforcement
6. Continuous Content Deployment for AI Signal Reinforcement
Instead of isolated pages, we deployed content in waves:
- Treatment expansions
- Supporting condition-based articles
- Long-tail patient-intent pages
This sustained ranking momentum and increased AI search surface presence.
The Result
Within 7 months of implementing our AI-Optimised Oncology Framework, Everhope Care transitioned from a zero-authority healthcare domain into a high-growth organic acquisition engine.
1. Non-Brand Visibility Growth
- Non-brand clicks increased by 12,369%
- Non-brand impressions increased by 16,927%
The website moved from minimal exposure to a strong presence across high-intent oncology searches.
2. Organic Traffic Growth
- Overall, organic sessions increased by 1,344%
This validates sustained ranking improvements and deeper penetration in the primary geographic market.
3. Lead Generation Activation
- Organic leads grew from zero to consistent monthly patient inquiries.
- Lead growth improved by 56% after the activation phase
SEO became revenue-impacting — not just traffic-building.
4. AI Searches
- AI Search Visibility (Semrush) increased by 258%
- The website gained measurable presence in AI-driven search environments
- Visibility expanded across AI Overviews results
5. Ranking Expansion
- Keywords in Top 10 increased by 1,817%
The oncology cluster model strengthened keyword penetration across competitive treatment terms.
6. Authority & Infrastructure Growth
- Domain Authority increased by 900%
(From DA 1 in Jun 2025 to DA 10 in Jan 2026)
- Indexed pages increased by 665%
- Internal links increased by 4,065%
This reflects:
- Stronger crawl efficiency
- Deeper topical authority
- Improved semantic relationships
- Enhanced search engine trust
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