Semantic SEO · Case study
Azuno
Making an AI analytics offering easier to understand through clearer content, internal links, and business information.
- Semantic SEO
- Entity Optimization
- Local SEO
The challenge
Azuno needed its website to explain its analytics offering more clearly and reach prospective customers in its San Francisco market. The project addressed unclear page purposes, gaps in customer-question coverage, and technical issues.
The approach
I mapped customer questions to relevant pages, planned content and internal links, and worked on technical and factual business-information corrections. Traffic and lead observations were reviewed alongside those changes.
Work delivered
- 01
Reviewed customer questions and existing page purposes.
- 02
Planned relevant content and internal links.
- 03
Implemented website and factual business-information changes.
- 04
Compared reported traffic and lead observations.
The outcome
The engagement account and client feedback describe the following changes.
- +120% increase in organic traffic within 4 months
- Top 3 local search rankings for "AI analytics San Francisco" and related geo-keywords
- 35% growth in qualified leads from Bay Area businesses
- Improved discoverability across AI-driven search platforms, positioning Azuno as a thought leader in the AI/LLM space
“Farrukh showed us how semantic SEO and geo-targeting could work hand-in-hand with the way AI and language models interpret search intent. His strategy didn't just boost our rankings, it made our content future-proof in an AI-first world.”
Evidence and context
- Source of the account
- Engagement description and attributed client feedback, including the quotation above.
- Published with this case
- The challenge, implementation approach, work delivered, and reported outcomes. Campaign dates and underlying analytics exports are not published with this account.
Results are specific to this project.
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