Is ChatGPT Recommending Your Competitor Instead of You?
Millions of shoppers now ask ChatGPT and Gemini what to buy before they ever open a search engine. These tools give one answer, sometimes three, almost never ten blue links. If your brand isn't in that short list, you're not losing a ranking position. You're losing the sale before it starts.
- Free AI visibility scan of your brand vs your top 3 competitors
- See exactly where and why AI tools skip you
- Get a prioritized, evidence-backed fix list, not vague advice
AI Buying Journeys Are Replacing Search, and Most D2C Brands Are Invisible
When someone asks ChatGPT "which skincare brand is good for sensitive skin in India," the model doesn't crawl your website live. It draws on what it already knows: reviews, comparison articles, forum threads, retailer listings, structured product data, and how clearly your brand is described across the web.
Most growth-stage D2C brands built their content and SEO strategy for Google. Your product pages can rank on page one and still be completely absent from an AI-generated answer, while a smaller competitor with cleaner, more citable evidence gets named instead.
- AI answers surface 1 to 3 brands, not 10, so being "close" counts for nothing
- Thin or inconsistent product data makes AI models default to better-documented competitors
- Reviews and comparison content now carry more weight with AI than paid ads or on-site copy
- Most brand teams have no visibility into what ChatGPT or Gemini is actually saying about them today
Built for Growth-Stage Indian D2C Brands Ready to Win AI Recommendations
We work with Indian consumer brands that already have traction: real revenue, real repeat customers, real competitors, and now need to defend and grow their share of voice as AI becomes a primary buying channel. This is not for pre-launch brands or agencies looking for a generic SEO add-on.
Proven Revenue Traction
D2C or consumer brands doing roughly 1 crore+ in monthly revenue, or scaling fast toward it, with real repeat buyers and category proof.
Comparison-Driven Categories
Competing in D2C beauty, wellness, food, home, electronics, or fashion, where buyers research and compare before they buy.
Already Investing in Growth
Already running content, SEO, or performance marketing, and ready to treat AI discoverability as the next serious lever alongside it.
Decision-Ready Team
Has a founder, CMO, or growth lead who can act on prioritized recommendations within weeks, not quarters, and owns the fix list.
Measure, Diagnose, Prioritize, Implement, Re-Measure: Our 5-Step AI Visibility Loop
AI visibility isn't a one-time audit. It's a loop, because AI models update constantly and so do your competitors. Every change we make is tied to evidence, and every result is proven with a re-measurement, not a guess.
We query ChatGPT, Gemini, and other AI tools with real buyer prompts in your category and record exactly how often, and how favorably, you're mentioned versus named competitors.
We trace each gap to its root cause: missing structured data, thin review coverage, absent comparison content, weak retailer listings, or unclear product claims.
We rank fixes by expected lift in AI visibility against effort to implement, so you work on what moves the score, not what's easiest to ignore.
Bounded, specific changes to your product content, structured data, and off-site evidence sources. No open-ended retainers or vague "content strategy."
We re-run the same prompts after implementation to show the measurable before-and-after shift in AI recommendations, not a projection.
Evidence-Backed Gaps and Bounded, Implementable Fixes
This isn't a generic SEO audit repackaged for AI. Every output is tied to actual queries, actual AI answers, and actual gaps between what your brand offers and what the model currently knows or trusts about you. Each engagement is scoped and bounded.
AI Visibility Report
How ChatGPT and Gemini currently describe, rank, and compare your products against competitors, based on real buyer-style prompts across discovery and recommendation moments.
DeliverableGap Diagnosis
The specific missing or weak evidence causing you to be underrepresented or left out entirely: product data, reviews, comparisons, specs, and claims the models don't currently trust.
DeliverablePrioritized Fix List
Changes ranked by likely impact on AI recommendations, not just generic best practices. Your team knows exactly what to tackle first and why it will move the score.
DeliverableBounded Implementation
A defined set of content, structured data, and evidence updates, scoped so you know exactly what's being changed and why. No scope creep, no open-ended timelines.
ImplementationRe-Measurement
A follow-up read on the same queries to confirm whether visibility and comparison standing actually improved. Before-and-after evidence, not projections or assumptions.
VerificationThe Whole Loop
All five stages together form the AI Visibility Loop: a continuous process that adapts as AI models update and competitors evolve. You never fly blind again.
Full EngagementReal Gains in AI Discovery and Comparison Across Indian D2C Categories
The pattern is consistent: brands that start out absent or vaguely described in AI answers move into being named, compared fairly on specs and value, and recommended alongside or instead of competitors. The shift usually comes from fixing a small number of specific evidence gaps.
Built Specifically for How ChatGPT and Gemini Evaluate Products
Most agencies are retrofitting old SEO playbooks onto a system that doesn't work like search. ChatGPT and Gemini don't rank pages. They synthesise an answer from whatever evidence they trust about your product, your category, and your competitors.
Actrise was built around that reality from day one. We work exclusively on AI visibility for growth-stage D2C brands in India, which means our process, query libraries, and evidence frameworks are tuned to how these models actually source and weigh information.
- Focused only on AI-powered buying journeys, not a side offering bolted onto SEO or paid media
- Query libraries built around real Indian consumer buying language and comparison habits
- Evidence frameworks that map directly to what LLMs cite and trust, not just what ranks on Google
- A measure-first approach: we show you the current state before recommending any change
Questions About AI Visibility Audits and Implementation
Everything you need to know before booking a call. If you have a question not answered here, we'll cover it in the first session.
How do you actually measure AI visibility?
We run a structured set of real buyer-style queries through ChatGPT and Gemini, covering discovery, comparison, and recommendation moments, and record exactly how your brand and competitors appear (or don't) in the answers. Every result is logged and compared against a baseline.
Is this the same as SEO?
No. SEO optimises for search engine ranking signals: links, on-page keywords, technical structure. AI visibility is about the quality and breadth of evidence that LLMs like ChatGPT and Gemini trust when synthesising answers. Many brands that rank well on Google are still absent from AI-generated buying recommendations because the two systems evaluate evidence very differently.
How long does the process take?
The initial AI Visibility Report and Gap Diagnosis typically takes 7 to 10 business days. Implementation and re-measurement timelines depend on the scope of fixes identified, but we scope everything upfront so you always know exactly what to expect and when.
Do you guarantee results?
We guarantee a measurable before-and-after comparison using the same query set. We re-run the exact same prompts post-implementation so you can see the actual shift in AI mentions and comparison standing, not a projection or a modelled estimate.
What categories do you work in?
We work across D2C beauty, skincare, wellness, food, kitchen and home appliances, fashion, and electronics, specifically categories where buyers compare options before purchasing. If buyers in your category use AI to research before they buy, we can help.
What is the minimum revenue requirement?
We work best with D2C or consumer brands doing roughly 1 crore or more in monthly revenue, or brands scaling fast toward it with clear category traction. Pre-launch brands are not the right fit at this stage, as the evidence-fixing process requires an existing product presence to improve.
See Your Brand's Current AI Visibility Score
In one call, we'll show you how your brand actually shows up when real shoppers ask ChatGPT and Gemini for recommendations in your category, and how you stack up against the competitors already winning those mentions.
- Your current AI visibility score across ChatGPT and Gemini
- A side-by-side view of how you're represented versus key competitors
- The highest-priority gap we'd fix first, and why it matters
No generic audit decks. No vague promises. Just evidence from the AI tools your customers are already using to decide.
Schedule a Consultation
Free 30-minute AI Visibility call for qualifying D2C brands.