Strong name, thin citations.
Heads Up For Tails (61.5), Lenskart (58.9) and WOW Skin Science (57.9) top the field — yet even the leaders show the pattern: strong branded presence, thin owned category citations.
NeuGenM Signal · AI (GEO/AEO) Performance Audit 2026 · D2C
They won their name.
They lost their category.
India's leading D2C brands appear almost every time a user asks about them — and almost never when a user asks about the category they compete in. For digital-first brands built to be discovered, that category answer in AI is still unclaimed.
96.8%Branded presence
10.6%Category presence
39.1AI Pulse / 100
The bottom line
India's D2C brands — digital-native and built to be found — have won their own name in AI and lost their category. Average branded presence is 96.8% but average category presence is only 10.6%; brands are recommended in 65.9% of their branded answers but just 1.9% of category answers.
The composite AI Pulse averages 39.1/100 — an AI Visibility Gap of 60.9% — and not one of the 121 cleared a B grade. Seventeen reached a C; one slipped to F. This is not a threat readout; it is an open field for the brands that move first.
60.9%AI Visibility Gap
0Brands above a C
65.9%Branded recommendation
1.9%Category recommendation
Measured across ChatGPT, Claude & Gemini (grounded) · NCS2M four-quadrant framework · 121 brands · 36 categories · 7 languages · 2026-06-30
01 — Findings
Five things leaders need to know.
The pattern is consistent across every engine, category and language audited.
01
The branded/category chasm is the whole story.
96.8% branded vs 10.6% category presence. Recommendation collapses from 65.9% (branded) to 1.9% (category). D2C brands own their name, not their category — and the category is where undecided buyers are won.
02
A near-total citation blackout.
0.2% average owned category citation authority. 78 of 121 brands sit at a flat 0%. When AI answers a category question, it sources from third-party authority sites — not from the brand's own domain.
03
Recommendation evaporates in-category.
65.9% branded → 1.9% category. 71 of 121 brands are never recommended even once when the user describes a need instead of naming the brand. High branded recall does not carry into the unbranded moment that actually decides the sale.
04
The bottleneck is access, not absence.
The 0% score is usually self-inflicted. The most common cause is a block — WAF/CDN 403s, bot-walls, redirects, missing or invalid schema — not a lack of content. That makes the first fix the cheapest and highest-impact one available.
05
Vernacular mirrors English — the gap is the category, not the language.
~0.3% category citation across six Indic languages. As near-zero as English (~0.2%); branded vernacular (~23.1%) tracks English (~31.9%). The blackout is category-wide in every language, not deeper in vernacular.
02 — The field
Where the field stands.
A D-graded field with a C ceiling: no brand earned an A or B, and one slipped to F.
17C grades
29D+ grades
74D grades · 1 F
A self-inflicted blackout.
Alphavedic (20.8) is the set's only F; Hoop (25.2) and T.A.C (25.3) sit just above. Near-universal branded presence collapses to 0% owned category citation — empty citations, not empty shelves.
None is AI-ready.
Beauty & Personal Care is the biggest cohort (n=17) yet among the weakest (avg Pulse 31.9); Fresh Food Delivery (45.1) and Home Furniture & Décor (44.5) lead. No category clears the readiness bar.
03 — The playbook
What AI-ready brands do differently.
Six behaviours turn a mention into a citation into a recommendation.
01
Let the engines in
No WAF/CDN 403 on AI crawlers; robots allows GPTBot, ClaudeBot and Google-Extended.
02
Structure what they have
Valid JSON-LD — Organization, Product, FAQ, Article, Offer — and fresh sitemaps.
03
Publish the category answer
Citable, comparison-shaped "best X" content — not just brand pages.
04
Consolidate domains
So equity and citations don't leak across .com / .in / sub-sites.
05
Ship llms.txt & agentic endpoints
UCP/MCP endpoints backed by real structured product and offer cargo.
06
Earn third-party authority
So a mention becomes a citation becomes a recommendation.
04 — The agenda
The action agenda.
Sequenced by impact and effort — start with the cheapest, highest-leverage fix.
→
Now — within weeks.
Audit and remove AI-crawler blocks (the cheapest, highest-impact fix). Ship or repair JSON-LD and a fresh sitemap. Publish llms.txt.
→
Next — this quarter.
Build decision-shaped category content for the unbranded "best X" questions. Consolidate fragmented domains. Instrument owned-citation share as a tracked KPI.
→
Then — 2–3 quarters.
Earn third-party / category-authority inclusion. Stand up agentic commerce (UCP/MCP) with real product and offer data. Extend the program to vernacular.
India's AI moment is now — the earliest to adapt wins the digital shelf
See exactly how AI sees your brand.
The category answer is unowned: 78 of 121 D2C brands cite themselves 0% of the time in-category. Write back for a bespoke, deep-dive GEO / AEO Brand Performance Audit — built on your own data, your competitors and your categories — and out-engineer your category before a rival does.