Celio’s AI Native Thinkubator
FASHION & APPAREL
Google said you existed. AI disagreed.
A 12-year-old Bengaluru brand. Rs 18 crore revenue. 140K Instagram followers. Strong SEO. When customers asked any AI engine about men's ethnic wear — this brand did not appear once. A younger competitor answered every prompt instead.
The baseline
Where the brand stood on Day 1
Status on Day 1
- Brand age
- 12 years
- Revenue
- Rs 18 Cr/yr
- 140K followers
- Domain Authority
- DA 38
- AI citations — Day 1
- 0 / 18 prompts
- Competitor AI presence
- 6 / 8 top prompts
“We were ranking on Google. We had 140K followers. We thought we were discoverable. Then the Big Head audit ran — we were not cited once. Our competitor showed up in 6 of the 8 prompts we tested. That was the wake-up call.”
↳ Signed the 3-month retainer within 48 hours of receiving the Day 1 audit report.
The work
How AI visibility compounds when built systematically.
The3-montharc
How AI visibility compounds when built systematically.
Month 1 · Foundation
7 of 18
prompts returning the brand — up from 0
Articles: 22Citations gained: +7
- 18 buyer prompts benchmarked × 4 engines
- Schema corrected, sitemap submitted
- Perplexity responds first (48–72 hr index)
- Competitor displacement map built
Month 2 · Displacement
13 of 18
prompts returning the brand — 4 competitor prompts reclaimed
Articles: +18Competitor prompts: 4 displaced
- ChatGPT citations arrive as sitemap processes
- Reddit & community seeding begins
- Brand Memory feeds ShopOS ad + email squads
- 4 of 6 competitor prompts displaced at T1/T2
Month 3 · Authority
17 of 18
prompts returning the brand — category leader position
Articles + guides: +19Competitor prompts: 6 reclaimed
- 2 external niche authority citations earned
- Perplexity: brand T1 on 8 of 18 prompts
- Prompt gap narrowed: 104 → 67
- GEO intelligence drives PDP + email copy
Perplexity re-indexes in 48–72 hours. ChatGPT runs on multi-week training cycles. Gemini requires structured data to propagate. Month 1 is infrastructure. Month 2 is displacement. Month 3 is compounding authority — and a competitor doing this today is building a lead that costs more to close every month you wait.
The result
Where the brand landed after 90 days
Frominvisibletocategoryleader.90days.
17 / 18
Active AI citations
Brand named with URL. Was 0 on Day 1.
59
Articles published
22 + 18 + 16 articles + 3 comparison guides. All on the owned domain.
6 / 6
Competitor prompts reclaimed
All 6 competitor-owned prompts from Day 1 now include this brand at T1 or T2.
104 → 67
Prompt gaps remaining
Down from 104 on Day 1. Each one is a future citation.
Citations by engine · cumulative · out of 18 prompts
Perplexity · fastest
Indexes new content within 48–72 hrs. First to respond every time new articles go live.
1 → 14 / 18
Claude
GEO article format aligns closely with how Claude structures cited answers.
1 → 11 / 18
ChatGPT
Sitemap submitted in Month 1 paid off in Months 2–3. The patience play.
0 → 9 / 18
Gemini
Completely absent Day 1. Structured-data corrections in Month 1 activated Google's crawler.
0 → 8 / 18
The evidence
Prompt by prompt, Day 1 vs Month 3
Selectedpromptshifts·Day1vsMonth3
T1 — brand named first, own URL cited · T2 — brand named / earned media · ABSENT — brand does not appear
| Buyer prompt | Day 1 | Month 3 |
|---|---|---|
| Best kurta brands in India for weddings 2026 | Brand absent. Competitor T1. | Brand T1. Competitor T2. Fully reversed. |
| Men's ethnic wear under Rs 3000 India | Brand absent. Competitor T1. | Brand T1. Competitor no longer appears. |
| Linen vs cotton kurta South India summer | Neither brand present. Open gap. | Brand T1. Owned from scratch. Competitor absent. |
| Nehru jacket styling modern Indian men | Neither brand present. Open gap. | Brand named + URL cited T1. New territory owned. |
| Best festive kurta under Rs 3000 | Neither brand present. Open gap. | Brand T1. Competitor absent. Fully new win. |
| Best ethnic wear for daily office wear | Brand absent. Competitor T1. | Brand T2. Competitor still T1. → Month 4 target. |
Why it works
The signals AI engines actually weigh
HowE-E-A-TsignalsdirectlyraiseAIvisibility
Experience
First-hand product depth AI can verify
AI engines cross-reference claims against structured data — catalogues, size guides, care labels. Real fabric specs (weave count, thread origin, seasonal suitability) score higher on retrieval relevance than generic copy. 12 years of product history gives this brand data no AI-generated competitor can replicate.
Expertise
Category authority that earns Reddit + Wikipedia signals
Genuinely expert content gets referenced outside owned channels — Reddit threads, Wikipedia edits, niche forums. These third-party citations are exactly what Perplexity and Claude pull when answering category questions. Each one added a new retrieval pathway into the brand's answers.
Authoritativeness
Domain signals AI crawlers use to rank sources
AI engines evaluate the source publishing content. A 12-year-old domain with consistent publishing, structured data, and inbound citations from Wikipedia and press signals high authority. Source authority gates which content enters the AI retrieval pool at all.
Trustworthiness
Factual accuracy AI penalises when violated
AI engines validate cited claims against e-commerce crawls, price aggregators, and reviews. Content contradicting the live catalogue is downgraded. Every article was audited against live product data — zero contradictions across 59 articles kept the trust signal clean.
Methodology
How this was measured
Howwemeasuredthis
- What we tested
- 18 buyer prompts selected from real search-volume data for men's ethnic wear in India, tested on ChatGPT, Claude, Perplexity, and Gemini (standard public versions). 18 prompts × 4 engines = 72 tests per measurement, run at Day 1, 30, 60, and 90.
- What counts as a citation
- Brand named in the answer text, with or without a URL. URL-only appearances are tracked separately as partial. The 17/18 Month 3 figure counts only named brand citations.
- Content published
- 59 on-domain pieces (22 + 18 + 16 articles + 3 comparison guides) plus 40+ Reddit touchpoints and 2 Wikipedia entries across 3 months. Wikipedia and Reddit are cited directly by Perplexity and Claude in a significant share of category answers.
- Engine vs prompt totals
- Engine-level totals (Perplexity 14, Claude 11, ChatGPT 9, Gemini 8 = 42) exceed the 17-prompt headline because one prompt can be cited by multiple engines — about 2.3 engines per cited prompt.
How other brands are growing with ShopOS
Early is the only moat that lasts in GEO.
AI engines are still learning which brands belong in which categories. The brands establishing citation signals today are building authority that is structurally difficult to displace. For the next 6–12 months, the market is still catchable.
Start your GEO pilotAudit across all 4 AI engines. Results in 48 hours. Brand details anonymised at client request.