United Foods
IN · Food & Beverage · Est. 2012 · unitedfoodsindia.com
Last refreshed 2026-05-31
Based on 3 AI engines across 1 buyer language.
AI Readiness pillars
How United Foods performs against the three pillars buyers care about when sourcing via AI.
Weight 40% · Do multiple AI engines recognise you and tell a consistent story
Weight 30% · When buyers ask AI to source in your niche, do you come up
Weight 30% · How AI engines rate you on quality, reliability, pricing
What AI says
AI engines have a partial picture of United Foods, a Food & Beverage supplier in in. Across recent queries the company scored 52 out of 100 (Weak Signal), with the strongest dimension being Buyer Trust at 88 out of 100 and the weakest AI Recommendation Rate at 20 out of 100. 3 AI engines (out of 3 tested: Claude Haiku, gemini-2.5-flash, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include food, dehydrated vegetables, spices. Certifications and trust indicators referenced by AI: fssai, iso, bis. The biggest opportunity for improvement is the AI Recommendation Rate dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.
AI engine breakdown
One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.
| AI Engine | Found | Sentiment | Rating | Products mentioned | Certifications |
|---|---|---|---|---|---|
| Claude Haiku | 1 / 4 | neutral | — | None | FSSAI, ISO, BIS |
| Gemini 2.5 Flash | 1 / 4 | neutral | — | Food | None |
| DeepSeek | 1 / 4 | positive | — | dehydrated vegetables, spices, ready-to-eat food products | ISO 22000:2018, FSSC 22000, HACCP |
Improvement Roadmap
Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.
- 1
Publish structured product data markup on website
+28 ptsAdd JSON-LD schema.org markup for each product line (dehydrated vegetables, spices, ready-to-eat foods) with SKU, description, certifications, and manufacturer details. This signals product intent directly to AI engines and improves recommendation matching. Lift depends on crawlability and schema completeness across your catalog.
AI Recommendation RateMedium effort
- 2
Register and optimize profiles on B2B procurement platforms
+24 ptsCreate verified supplier accounts on 2-3 major food industry directories (e.g., Alibaba, IndiaMART, Global Sources, or sector-specific platforms). Include all certified products, certifications (FSSAI, FSSC 22000, HACCP, ISO 22000:2018, Organic, Kosher), and contact details to expand AI discovery surface. Each platform listing increases crawl frequency and reference density.
Digital FootprintLow effort
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