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Trackdown Report

Kalki Fashion: AI Visibility Report

Ranked #3 with 11% visibility, trailing Manyavar by 8 percentage points. Strong ChatGPT presence masks weak Perplexity coverage. Comparison-driven and niche product prompts drive mentions, but broad category searches exclude the brand.

AI Visibility

11%

Prompt coverage

11

/

100

Net Sentiment

+73

#1. How often does AI mention me?

This breaks down your brand visibility in AI, showing summary of mentions and citations.

Overall Visibility

Share of tracked prompts where you appear at all

AI Visibility Breakdown by Prompt

Ranked #1 · Mentioned · Not mentioned

Ranked #1 8 16%
Mentioned 9 18%
Not mentioned 41 82%

Your biggest issue is not ranking lower; it's being absent from the majority of conversations happening in your category.

#2. Where do I stand vs competitors?

A head-to-head look at how your brand and competitors appear across AI answers.

#1
Manyavar - 19%
#2
Aza Fashions - 12%
#3
KALKI Fashion - 11%
#4
Cbazaar - 9%
#5
House of Indya - 9%

Two brands are ahead of you, but the top spot is still within reach. Focus on improving your visibility signals.

Stay ahead of your competitors

One AI answer can shift the buyer’s choice. Get an alert the moment a competitor overtakes you on a prompt, so you react in days, not after losing a quarter of buyers to them.

#3. Which AI platforms cite me the most?

A platform-by-platform look at how visible your brand is across AI platforms

ChatGPT - 14%
Perplexity -8%

#4. Branded vs category prompt visibility

A look at how your brand performs in branded versus category searches.

Branded Prompts

2 prompts · visibility 100%

Non-branded (category) prompts

48 prompts · visibility 8.3%
Your brand appears in 100% of branded prompts and 8% of category prompts.

The actual questions your customers ask AI

A sample of tracked prompts and whether your brand showed up

Invisible Here
sherwani vs kurta set for grooms
indo western gowns vs saree gowns for weddings
velvet vs silk bridal lehenga for winter weddings
where can I find indo western wear online
where to buy kids' Indian wear for weddings
Visible Here
where can I buy bridal lehengas online
stores with indo western wear for plus size women
shops with ready-to-wear saree options
KALKI Fashion vs Aza Fashions for bridal lehengas

Find the prompts that matter most for your brand

Generate relevant buyer questions across branded, category, comparison, and discovery searches, so you can track the prompts that actually influence visibility.

#5. How AI describes your brand?

See whether AI mentions your brand in a positive, neutral, or negative context.

+73
Mostly positive

This is working in your favor


A sentiment score here means AI is representing your brand well. The impression buyers are getting is a positive one. Now it is about making sure that impression gets stronger and reaches more people.

#6. Visibility gaps behind your AI performance

This shows which content and trust signals may be limiting how often AI cite your brand.

You
Top competitors avg

Where the gaps are

The specific signals limiting your AI visibility
Perplexity Model Coverage

Absent from 5 of 7 quick-win prompts while Manyavar and Aza Fashions maintain consistent dual-model presence.

Broad Category Queries

Missing from generic searches like kids' Indian wear and indo western gowns where House of Indya and Aza Fashions rank.

Sizing and Fit Content

No visibility in sizing-focused queries; Manyavar dominates this intent gap across both models.

Designer Positioning

Underrepresented in premium festive and designer kurta searches where Pernia's Pop-Up Shop and niche players lead.

Knowing the gap is step one. Closing it is next.

Prioritize the content, source, and page-level actions most likely to improve how AI understands and includes your brand.

#7. Where does AI pull information?

The sources AI relies on most often when answering the buyer questions in this report.

Where AI looks

Top sources cited for your category

Reddit
Cited in 32 Answers
Domain Rating 95
Alibaba
Cited in 18 Answers
Domain Rating 92
Kalkifashion
Cited in 6 Answers
Domain Rating 61
Azafashions
Cited in 16 Answers
Domain Rating 64
Youtube
Cited in 16 Answers
Domain Rating 99

Source types

Of all citations AI uses, who owns the sites it pulls from

Your site 31 3.06%
Competitor sites 70 6.92%
Other 911 90.02%

Only 3.06% of AI citations reference your website as a source. Most citations point toward third-party sources where your brand barely appears. Getting featured there can help you show up in more AI answers.

Be the source AI trusts

Identify the pages, publishers, reviews, and communities most likely to influence how AI answers your target prompts, take inspiration, and grow your AI search visibility.

#8. What should you prioritize next?

A focused action plan based on the biggest opportunities found in your AI visibility report.

Your Roadmap

Ordered by what moves visibility fastest

Expand Perplexity AI Presence

Develop product comparison content targeting Perplexity's indexing patterns and citation preferences.

Build Sizing Authority

Create detailed fit guides and size-matching content for indo western and bridal categories.

Strengthen Category Explainers

Publish educational guides on saree types, lehenga styles, and occasion-wear selection criteria.

Develop Designer Brand Narrative

Highlight exclusive designer collaborations and premium collections in festive and wedding segments.

You're one step away from tracking this everyday.

This is a free one-week AI visibility snapshot for your brand. Inside Track My Visibility, you’ll see these data points update daily, across every engine, with alerts the moment a competitor moves ahead.

How we measured this

Study Parameters:

Total Prompts

100 unique prompts tracked within TMV

AI Engines

ChatGPT, Perplexity

Time Window

Jun 11, 2026 to Jun 18, 2026

Category

Sarees, Lehengas, Salwar suits, Kurtas, Indo-western wear, Ethnic wear, Wedding wear, Festive wear, Men's Indian wear, Kids' Indian wear

Intent Mix

Commercial-heavy with supporting informational, comparison, and trust queries