Moji Masala

Moji Masala is a family-founded e-commerce brand that sells dish-specific, pre-measured Indian spice blends designed to help home cooks make authentic Indian meals with confidence.

• Founded by Shireen and JD, who launched the business in 2018 after developing the concept with guidance from Shireen's mother, Moji.
• The brand centers on one packet per traditional dish, with each packet serving 3-5 people.
• Its online store sells single-dish spice blends, starter sets, gift sets, and curated bundles for first-time buyers.

The company was built around a clear consumer problem: many home cooks love Indian food but find it difficult to recreate at home because buying, storing, and measuring multiple spices takes time, money, and confidence.

• Moji Masala positions its blends as a way to reduce the cost, time, and kitchen-space burden that often comes with cooking Indian food from scratch.
• The brand also has to clearly explain an unfamiliar product format: dish-specific masalas rather than sauces, meal kits, or generic seasoning blends.
• Its value proposition depends on making authentic Indian cooking feel approachable for beginners without diluting the category's cultural and culinary specificity.

The engagement approach combined a structured site audit with ongoing measurement from Sentient AEO's proprietary LLM research tooling, then translated those findings into specific actions Moji Masala could use to improve AI search visibility.

• Started with a site audit to evaluate how clearly Moji Masala's website communicated its products, brand positioning, and machine-readable signals to answer engines.
• Measured visibility and change over time using Sentient AEO's proprietary LLM research tool to track how the brand appeared across AI-generated responses.
• Converted the audit and measurement findings into detailed, actionable recommendations Moji Masala could implement to strengthen AEO performance.

The solution focused on improving site health, strengthening structured data, and expanding the descriptive depth of the site's content so answer engines could better understand what Moji Masala sells, who it serves, and why the brand is distinct.

• Improved overall site health so key product, brand, and supporting pages were easier for AI systems to parse and trust.
• Added and strengthened schema markup to give answer engines clearer machine-readable signals about products, brand context, and page intent.
• Expanded descriptions, background context, and product-specific detail to build stronger content authority across the site.
• Schema work was especially impactful because it made the site's meaning more explicit, reducing ambiguity and helping AI systems interpret Moji Masala's offerings with greater confidence.

Following the work, Moji Masala is tracking stronger commercial performance and improved visibility across both traditional and AI-driven discovery channels.

• Moji Masala is tracking 3x growth in online sales this year.
• The brand is seeing increases in both human traffic and AI-driven traffic to its site.
• Structural Health and Content Authority scores are tracking higher after the implemented changes.
• AI visibility metrics measured by the Sentient AEO research tool are trending higher across multiple models.

Moji Masala's public positioning is strongest when the brand is framed as authentic, family-rooted, and easy to use without being generic or convenience-first.

• The site consistently emphasizes authentic Indian home cooking, not ready-made meals or bottled sauces.
• Operational simplicity is a major part of the offer: pre-measured packets, simple instructions, QR-linked recipes, and dishes that are often ready in 30-45 minutes.
• Its founder story, Kashmiri family roots, and dish-specific product design are central differentiators worth preserving across future case study messaging.