Zainab Zia

• 15+ — Customer Interviews Completed
• 25+ — Competitors Analyzed
• 4 — Strategic Frameworks Delivered
• 90% — Beta Feedback Incorporated
• 100% — GTM Documentation Completed

Baseerat was an AI-powered CRM in its pre-launch stage, entering a highly competitive market dominated by established platforms. With no historical customer data or market performance, the challenge was to validate product-market fit, define a differentiated positioning strategy, and reduce uncertainty before launch.

I conducted comprehensive market and competitor research, developed ICPs and buyer personas, and created positioning, messaging, and pricing recommendations. I designed and coordinated beta customer validation to gather qualitative feedback, which informed product improvements and messaging refinement.

The project reduced launch risk by replacing assumptions with customer insights, strengthened product positioning, and established a strategic roadmap for future customer acquisition, product adoption, and commercial growth.

• 100+ — Enterprise Sales Meetings
• 40% — Increase in Qualified Inquiries
• 50+ — Customer Onboarding Campaigns Supported
• 600% — Return on Ad Spend (ROAS)

Manufacturing companies lacked real-time visibility into workforce attendance, movement, and operational compliance. Existing surveillance systems relied heavily on manual monitoring and provided limited actionable insights, making it difficult to improve efficiency and security.

I developed the product positioning and go-to-market strategy for an AI-powered surveillance solution. I conducted market research, identified target industries, defined ICPs, created value propositions, developed sales collateral, and supported proof-of-concept planning for enterprise customers. I also collaborated with technical teams to align product capabilities with customer requirements.

I delivered a market-ready GTM strategy that supported enterprise proof-of-concept discussions, strengthened product positioning, and equipped the sales team with messaging tailored to manufacturing decision-makers.

• 20+ — Competitor Analysis Reports
• 2,200+ — Enterprise Proposals Supported
• 10,000 — Qualified Leads Generated
• 13 — Industry Verticals Targeted

The product needed a compelling market position before launch in a competitive AI and business intelligence landscape. The challenge was to identify the ideal customer profile, validate market demand, refine messaging, and develop a go-to-market strategy without historical customer or campaign data.

I conducted market research, competitor analysis, customer interviews, and messaging validation to identify target audiences and refine the product’s value proposition. I developed buyer personas, positioning, pricing recommendations, and a go-to-market strategy while collaborating with product and engineering teams to ensure customer insights were reflected in the product experience.

I delivered measurable GTM impact by generating 10,000+ qualified leads, developing industry-specific acquisition strategies across 13 verticals, and improving market positioning through data-driven customer insights.

• 4 Million — Impressions
• 39,800 — Organic Clicks

Low organic visibility for high-intent keywords in a competitive niche.
Limited AI search (AEO/GEO) discoverability and entity recognition.
Declining keyword rankings due to evolving Google algorithm updates.
Weak topical authority and content gaps across key service pages.
Need to optimize content for both traditional search engines and AI-powered search experiences.

Performed a complete technical and content SEO audit.
Optimized crawling, indexing, site structure, and Core Web Vitals.
Built an intent-driven content and topical authority strategy.
Implemented SEO, AEO, and GEO optimizations for Google and AI search.
Improved metadata, schema, internal linking, and entity optimization.
Continuously monitored and refined performance using Search Console and analytics tools.

Generated 4.41+ million organic impressions through Google Search.
Increased organic traffic, resulting in 39.8K clicks.
Improved organic visibility through Technical SEO, AEO, and GEO optimization.

• 500+ — Members Across Communities
• 220% — Growth in Active Participation
• 20+ — Cross-Functional Teams Enabled
• 95% — Event Attendance Rate

Despite investing in modern workplace tools, employees continued relying on familiar processes, resulting in low adoption, fragmented collaboration, and inconsistent knowledge sharing across business units.

Created a self-sustaining employee community through champion programs, gamified engagement, educational content, and data-driven optimization, enabling peer-to-peer learning and organization-wide digital adoption.

Drove 50% faster AI digital adoption, 220% growth in employee engagement, and measurable improvements in cross-functional collaboration.