Plant-based sauce brand

How a plant-based sauce brand grew search impressions 1,289% and took the #1 AI share of voice

An Indian plant-based sauce brand grew monthly search impressions 1,289% and conversions 520% from April 2025 to April 2026, and became the most-cited of 133 tracked sauce brands on AI search, with 29.6% share of voice.

Published October 2026 · Results for April 2026 vs April 2025; revenue April vs March 2026

Services: SEO, GEO, Technical SEO, Content
Worked with: Managed Service
Region: India
Channel: Direct-to-consumer first

The results

Search impressions: +1,289%; Year over year. 93,445 to 1,298,327 a month, from a near-zero starting footprint.
AI search share of voice: #1 of 133; 29.6% of category mentions, the highest of 133 tracked sauce brands in India.
Conversions: +520%; Year over year. Monthly key events rose from 25 to 155.
Revenue: +96%; Month over month, April 2026 vs March 2026. The strongest monthly result on record.

Results beyond the headline

Metric	Change	Basis
Non-branded clicks	+717%	Year over year
Blog impressions	+4,768%	Year over year
Collection-page clicks	+30.4%	Month over month

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About the client

An Indian direct-to-consumer food brand selling plant-based sauces, dressings, dips and spreads, mainly through its own online store.

The product story was differentiated. The search category was not: legacy packaged-food brands and marketplace listings owned the results for ingredient and use-case queries, and buyers were starting to ask AI assistants to compare condiment brands. The question was whether a challenger could win both the Google shelf and the new AI shelf.

The challenge

Organic discovery was close to zero

In April 2025 the site drew 93,445 impressions, 1,144 clicks and 25 conversions a month. In a category where households search by ingredient and use case, that footprint couldn't carry direct-to-consumer revenue.

Incumbents owned the category queries

High-intent searches such as schezwan sauce online, salad dressing and the best chilli oil in India were dominated by legacy packaged-food brands and marketplace listings. The brand was missing from page one for most of them.

AI search was rewriting the shelf

Buyers were using ChatGPT, Gemini and Perplexity to weigh condiment brands by ingredient list and positioning. The brand had a strong product story but no structured presence for those engines to cite.

What we did

Four layers, each built to feed the next: commercial collection pages, editorial that sells, structured data for the new shelf, and citation work on AI search.

Build
Collection revenue nearly 3x in a month
Rebuilt 33 collection pages across sauces, hot sauce, vegan mayo, stir-fry and dietary-specific ranges, each with a commercial-intent meta title, ItemList schema and a category content block. The rebuilt pages target buyers searching by product type, and collection clicks rose within a month.
Embed
46 blog pages made shoppable
Added product embeds to 46 editorial pages, so a reader comparing brands or recipes is one click from the product. Blog content stopped being a dead end and became a commercial surface: one ranked-list buying guide grew impressions 1,062% month over month.
Schema
Category pages marked up for AI
Implemented ItemList and CollectionPage structured data across category and ranked-list pages, so the stir-fry, hot sauce, vegan mayo and general sauce pages all carry markup tied to the intent behind them. That markup gives AI engines clean, extractable lists to cite.
Surface
Gains across 33 priority keywords
Optimized the brand for citation across ChatGPT, Gemini, Perplexity and Google AI Overviews, alongside on-page and content moves on 33 priority commercial keywords. 'Sauces online' moved from an average position of 13.5 to 5.0, and 'best chilli oil in India' from 10.0 to 5.5.

The outcome

Organic and AI search are now the brand's primary acquisition channel in India, and April 2026 was its strongest month on record. The same four layers are set to carry into the next category cycle as the AI shelf keeps shifting.

Why it worked

Discovery, conversion and AI presence were built as one system rather than three projects. Schema made category pages legible to AI engines, editorial fed shoppers into collections, and collections turned that traffic into revenue, so each layer made the next more efficient. No single tactic carried the result.