Desktop storefront view
Desktop capture of the current brand storefront or homepage.
If the first desktop view lacks category clarity, proof, or contact confidence, colder buyers bounce before product intent compounds.
FOUNDER·self-teardown of our own brand
Why Outkast Code gets found but still leaves trust on the table.
Outkast Code is our own brand — the clothing label we run, audited by LensCore, the tool we built. Both belong to Outkast Printwears LLP. This is the internal benchmark scan turned into a founder-facing teardown. It strips the audit down to the parts that matter first: what leaks trust, where the gap is largest and what gets fixed next.
49Overall readiness
7Premium gaps
66Largest gap (AI answer visibility)
4Immediate fixes
Mobile storefront view
Mobile capture of the storefront, where many D2C buyers first inspect trust signals.
Mobile friction is usually where discovery-led interest dies first, especially when popups, weak proof, or clutter block the buying path.
Facebook profile
Facebook profile — public presence and brand page trust signals.
A missing or inactive Facebook profile can reduce social proof for discovery-stage buyers.
X (Twitter) profile
X/Twitter profile — public social presence and engagement signals visible to buyers.
An inactive X/Twitter profile can signal brand neglect to buyers who check social proof before purchasing.
AI never recommends this brand
Across 25 clothing and fashion buying questions on Google Gemini (Search grounding) + OpenAI (web search) + Claude (web search) + Retrieval Engine + Perplexity (Sonar) (1× each), the brand was named 0 times. Levi's is recommended instead. (Measured for the inferred category "clothing and fashion" in India. If that's not your category/market, this finding may not apply.)
What changes next: Build the entity, schema, review density and citable content AI engines pull from, then re-scan to track movement.
Levi's is winning your category in AI answers
Levi's was named in 15 of 25 clothing and fashion buying questions, while you were named in 0 — AI is routing that demand to them. (Measured for the inferred category "clothing and fashion" in India. If that's not your category/market, this finding may not apply.)
What changes next: Study the questions where Levi's is named and you are not, then close those specific gaps (schema, reviews, citable content) and re-scan.
Structured data is thin or missing
Product and FAQPage schema is absent. Organization schema is valid. Without complete schema, AI/search systems have to guess what you sell, who you are, and what buyers say.
What changes next: Add product, organization, breadcrumb, FAQ, and review schema so AI/search systems can parse the brand without guessing.
The call
Add product schema and tighten the product detail surfaces first. This is the cleanest way to improve machine readability without changing the brand story.
The product should keep pushing toward this shape: faster founder comprehension, stronger proof and a clear implementation path instead of a passive scorecard.
Days 1-7
Trust repair sprint
Make the brand easier to verify before new traffic arrives.
- Add Product, Organization, FAQ, and policy schema where content exists.
- Place review proof near product and inquiry intent.
- Tighten product category, price, shipping, return, and support answers.
Days 8-30
AI and Google authority sprint
Increase entity confidence across Google and AI answer surfaces.
- Build sameAs links across website, Instagram, marketplace, review, and founder/profile surfaces.
- Create answer-ready FAQ and product-support pages for common buyer questions.
- Lift Google trust from 28/100 by adding third-party proof and consistent public profiles.
Days 31-90
Monitoring and compounding sprint
Turn the audit into a recurring visibility and conversion operating loop.
- Run monthly AI/search prompt checks for brand, category, and competitor buying questions.
- Track review growth, WhatsApp inquiry recovery, and product-page trust improvements.
- Convert findings into founder teardown content and approval-gated outreach.