BrandCited scanned 25 Mumbai tech brands across 9 AI platforms in May 2026. 44% scored below 40 — the threshold below which AI platforms will not cite a brand regardless of product strength or SEO investment. The average score was 42/100. Upstox led the index at 63/100.
AI platforms like ChatGPT, Perplexity, and Google AI Overviews now answer buying and evaluation questions without sending users to websites. For B2B SaaS and fintech brands, absence from these answers means losing deals before the first touchpoint. AI visibility is not built through backlinks or keyword density — it depends on structured signals, crawlability, and content that AI training pipelines and retrieval systems can parse.
How did BrandCited build the Mumbai AI Visibility Index?#
BrandCited tested 25 Mumbai-headquartered tech companies across 9 AI platforms: ChatGPT, Claude, Gemini, Perplexity, Grok, You.com, Bing AI, Meta AI, and Google AI Overviews. Each brand was evaluated across five categories: crawler access, structured data, content quality, trust and authority, and technical implementation. Brands were selected from Crunchbase, G2 reviews, and Indian tech media coverage — no paid placements. Run a free scan at BrandCited.
What did the Mumbai AI Visibility Index reveal?#
Not a single Mumbai brand reached 70 — 100% of the index sits below the threshold where AI platforms cite brands with regularity. The average of 42/100 falls 12 points below the global average of 54, placing Mumbai among the weakest-scoring tech markets BrandCited has indexed.
- Average score: 42/100
- Brands below 40: 44% (11 of 25)
- Brands below 70: 100% (25 of 25)
- Top score: Upstox — 63/100
- Bottom score: Monsoon CreditTech — 13/100
Mumbai's average sits 12 points below the global average of 54 — one of the lowest-scoring tech markets in the BrandCited index.
See how other cities compare on the BrandCited blog.
Full Mumbai AI Visibility ranking#
| Rank | Brand | Score | Grade | Biggest gap |
|---|
| 1 | Upstox | 63 | C | Content Quality (41) |
| 2 | WebEngage | 58 | D | Structured Data (52) |
| 3 | Intelligence Node | 57 | D | Structured Data (41) |
| 4 | Facilio | 56 | D | Structured Data (33) |
| 5 | CredAble | 56 |
What are the top Mumbai brands doing right?#
Upstox, WebEngage, and Intelligence Node share one defining trait: their websites remain open and readable to AI crawlers while maintaining partial structured data coverage. None excels across all five categories, but each avoids the floor-level failures — zero structured data and blocked crawlers — that place the bottom half of this index below 40.
Upstox (63/100)
Upstox leads Mumbai with the index's only C-grade. Crawler access (93) and trust and authority (74) are strong — AI systems can read the site and find corroborating third-party references. The gap is content quality (41), where sparse product descriptions and low content freshness limit what AI platforms can retrieve and cite.
WebEngage (58/100)
WebEngage scores 58 on the strength of trust and authority (77), the highest in the entire index, and structured data (52) that is second-best in Mumbai. The critical gap is the absence of llms.txt — a machine-readable file that signals to AI crawlers which content is intended for citation. Its absence leaves WebEngage's strong trust profile underused.
Intelligence Node (57/100)
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Start free scanIntelligence Node benefits from crawler access (88) and trust signals (71). Two structured data gaps — Product/Service schema and WebSite SearchAction schema — keep the score from climbing. Adding these two schemas alone would push this brand into the mid-60s.
What is holding most Mumbai brands back from AI citations?#
Structured data is the single worst-performing category across all 25 brands, averaging 24/100 — the lowest of any category and less than half the global benchmark. Three issues appear with near-universal frequency:
1. Missing Product/Service Schema
Product/Service Schema appears in the critical issues list for more than 20 of the 25 brands scanned. Without it, AI platforms cannot categorize what a brand does, which products it offers, or who it serves. The fix is a Product or Service JSON-LD block on every key page:
json
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "YourProduct",
"applicationCategory": "BusinessApplication",
"description": "One sentence describing what the product does."
}
Fourteen of 25 brands have no llms.txt file. This is a plain-text file at yourdomain.com/llms.txt that tells large language model crawlers which pages contain citable, authoritative content. Without it, AI crawlers guess — and those guesses often skip product pages in favour of surface-level blog content.
FAQ schema appears in critical issues for 11 brands. Perplexity and Google AI Overviews favour FAQ-structured content when generating answers. Adding FAQ schema to key product and comparison pages is one of the fastest routes to an AI citation. BrandCited identifies these gaps in a free scan.
How does your brand compare?#
The Mumbai index uses the same five-category methodology applied to every city BrandCited has ranked — making it possible to benchmark a Mumbai fintech against a Berlin SaaS or a Singapore logistics platform. The methodology is documented at how-it-works.
With 100% of Mumbai's index below 70, there is no structural ceiling blocking improvement. Upstox's 63 is a reachable target for most brands in this index within one sprint of structured data and crawl access work. See pricing for monitoring options. Run a free AI visibility scan at BrandCited.
Frequently Asked Questions#
What is the Mumbai AI Visibility Index?
The Mumbai AI Visibility Index is a BrandCited audit of 25 Mumbai-headquartered tech companies, scored across 9 AI platforms on five criteria: crawler access, structured data, content quality, trust and authority, and technical implementation. The May 2026 edition found an average score of 42/100 — 12 points below the global average of 54.
How does BrandCited calculate an AI visibility score?
BrandCited tests each brand against 9 AI platforms — ChatGPT, Claude, Gemini, Perplexity, Grok, You.com, Bing AI, Meta AI, and Google AI Overviews — across five categories. Scores reflect how well each brand's digital presence enables AI systems to find, parse, and cite it in response to relevant queries.
Which Mumbai brands score highest for AI search visibility?
Upstox leads the May 2026 Mumbai index at 63/100, followed by WebEngage at 58/100 and Intelligence Node at 57/100. All three sit in the C or D range — no brand in the index reached B-grade or above.
BrandCited vs traditional SEO tools — what is the difference?
Traditional SEO tools measure keyword rankings, backlinks, and page authority for Google's standard search results. BrandCited measures whether AI platforms — which answer questions without links — can find, trust, and cite a brand. A brand can rank on page one of Google and score 13/100 on BrandCited, as several Mumbai brands in this index demonstrate.
How do I improve my brand's AI visibility score?
The fastest wins for most Mumbai brands are: adding Product/Service JSON-LD schema to product pages, publishing an llms.txt file, and implementing FAQ schema on key landing pages. Each fix addresses the three most common critical issues found in this index. See BrandCited's how-it-works for the full methodology.
Why do some well-known Mumbai brands score poorly?
Brand recognition does not equal AI visibility. BookMyShow (35/100) and Nykaa (37/100) are household names in India but score in the F range because their sites produce zero structured data and low trust signals outside their own domain. Consumer recognition built through advertising does not translate to the machine-readable signals AI platforms require.