AI Presence
Can AI systems access, discover and interpret the important pages on your website?
For D2C and ecommerce brands
AI Visibility Audit for D2C Brands in India
Find out whether your website gives AI systems enough clarity, evidence and authority to discover your brand, understand what you sell, verify important claims and evaluate when your products may be suitable for a recommendation.
The audit is a website AI-readiness diagnostic. It does not guarantee that ChatGPT, Gemini, Google AI or another system will cite or recommend your brand.
What the audit evaluates
Five layers of AI visibility
AI Understanding
Is your brand, category, offer and target customer clear enough for an AI system to understand?
AI Authority
Does your website provide credible first-party evidence that supports your expertise, product claims and positioning?
Citation Authority
Are there enough reliable external signals and corroborating sources around the brand and its claims?
Recommendation Readiness
Does the site provide enough decision-useful evidence for an AI system to evaluate when the brand may be a suitable choice?
Why this matters for D2C
A product can be easy to find and still be difficult for AI to recommend
D2C websites often have strong category pages, product detail and search visibility, but recommendation questions require more than discoverability. AI systems may need clear suitability, benefits, ingredients or specifications, pricing, availability, comparison context, trust evidence and independent corroboration before they can evaluate a product as a suitable option.
In Digital Platform 271's 2026 benchmark of 30 Indian D2C brands, Recommendation Readiness was the weakest measured dimension for 24 of 30 brands. The finding is descriptive for the audited sample and does not establish causation.
Typical gaps
What an audit can surface
Important pages are difficult for crawlers or AI systems to interpret.
Brand, category and product positioning are inconsistent or too vague.
Product claims are persuasive but not supported by visible evidence.
Pricing, availability, suitability or service-area information is incomplete.
Independent references and corroborating sources are weak or disconnected.
Recommendation evidence is missing from high-intent product and service pages.
From diagnosis to action
Where are you weak? Why does it matter? What should you fix first?
The audit is designed to turn a broad AI-visibility problem into prioritized remediation. Instead of treating every issue equally, it helps identify the weakest layer, the most important evidence gaps and the fixes that should be addressed first.