Is ChatGPT Recommending Your Competitor Instead of You?
When shoppers ask ChatGPT, Gemini and other AI assistants what to buy, does your brand appear or do competitors show up instead?
ACTRISE helps Indian D2C brands measure product visibility, identify evidence-backed gaps and prioritise improvements.
Is Your Brand Visible in AI-Powered Product Recommendations?
Discover how ChatGPT, Gemini and Perplexity understand and recommend your products. Identify your visibility gaps, competitor presence and opportunities to improve AI product discovery.
Product Visibility Analysis
Competitor Recommendation Tracking
AI Platform Comparison
See How We Measure AI Product Visibility
ACTRISE evaluates how AI platforms discover, mention and represent your products through controlled buyer queries and competitor comparisons.
Recording the sources and citations visible in AI-generated answers, where the platform provides them, to understand which information may be influencing product representation.
| Measurement Category | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| M01 - Product Mention Status | Partial | Mentioned | Absent |
| M02 - Product Recommendation Presence | Not Recommended | Secondary | Not Recommended |
| M03 - Product Information Accuracy | Inaccurate Details | Accurate | Partially Accurate |
| M04 - Competitor Product Presence | 3 Competitors Appear | 2 Competitors Appear | 3 Competitors Appear |
| M05 - AI Platform Comparison | Gaps Identified | Partial Coverage | Gaps Identified |
| M06 - Citation Source Analysis | 2 Sources Found | 4 Sources Found | 5 Sources Found |
Check Your AI Product Visibility
Find out how AI platforms understand and represent your products when potential customers search for products like yours.
Your Products Are Online. But Are They Part of the AI Conversation?
When shoppers ask AI assistants for product recommendations, comparisons or buying advice, the answers may shape which brands they consider.
But being available on Google, Amazon or your own website doesn't automatically tell you how your products appear in those answers.
Three questions every D2C brand should be able to investigate:
01 - Discovery
Does AI mention your products when buyers ask relevant category questions?
02 - Competition
Which competing brands appear in the same buying conversations?
03 - Representation
When your products appear, are their features and benefits described accurately?
You can't confidently prioritise improvements without first understanding what AI actually shows.
What ACTRISE Actually Measures Across ChatGPT, Gemini and Perplexity
We run a bounded set of controlled buyer queries, built around how your category's customers actually ask questions, across all three platforms. Every observation follows a simple structure: the query we asked, what the platform said, and what that implies for your brand.
Relevant Buyer Questions
The specific queries your category actually generates from real consumers asking AI assistants for recommendations and comparisons.
Product Mention and Representation
Whether your products are mentioned, how accurately they are described, and which details are missing or distorted in AI-generated answers.
Competitor Presence in the Same Tests
Which competitor brands appear in the same controlled queries, under identical conditions, so you can see the gap clearly.
Evidence Limitations, Documented
Every observation is a dated, conditional data point. We document confidence levels and uncertainty at every step, not gloss over them.
The ACTRISE AI Product Discovery Sprint: A Bounded Research-to-Implementation Engagement
This is not an open-ended retainer. It is a fixed-scope engagement that takes you from not knowing how your products show up in AI buying journeys, to a documented baseline, a diagnosis, a prioritised set of actions, and a re-measurement that shows what changed.
Measure, Diagnose, Prioritise, Improve, Re-measure
Every engagement follows the same five-step discipline. Each step is documented so you can see exactly what was tested, what was found, and why a given action was prioritised over another.
Measure
Run the agreed query set under controlled platform conditions and record a baseline. Every answer is captured verbatim and timestamped.
Diagnose
Compare what AI platforms say against your actual product facts and competitor representation. Identify accuracy gaps, missing claims and representation asymmetries.
Prioritise
Rank possible actions by relevance and feasibility, not by promised outcomes. You receive a ranked plan you can evaluate on its own logic.
Improve
Implement the agreed, bounded changes with a clear change log. Product content, structured facts, representation gaps: every action documented before and after.
Re-measure
Repeat the same controlled checks and report what changed and what remains uncertain. An honest account, not a polished success story.
From Query Map to Executive Summary
You do not just get an opinion. You get a documented paper trail of exactly what was tested, what was found, and what was done about it, so you can evaluate the work on its own evidence.
Priority Query Map
AI Product Discovery Baseline Observations
Competitive AI Discovery Comparison
Diagnostic Findings
Prioritised Action Plan
Implementation Pack and Change Log
Re-measurement Report
Executive Summary
What We Claim and What We Don't
AI platforms are not static. The same query can produce different answers on different days, for reasons outside any single brand's control. We treat every observation as a dated, conditional data point, not a permanent fact, and we tell you when confidence is limited.
We do not claim or guarantee:
- Fabricated client outcomes or inflated claims
- Control over what ChatGPT, Gemini or Perplexity say about your brand
- Guaranteed placement, specific recommendations or citations
- Guaranteed search rankings, traffic, leads, revenue or ROI
What We Commit To
A rigorous, repeatable five-step method and a clear, honest account of what the evidence shows at every stage of the engagement.
Full documentation of methodology, conditions and uncertainty at every step. You see exactly what was tested, how, and what the findings mean within their stated limitations.
- Controlled, repeatable query methodology
- Full transparency on evidence limitations
- Eight documented deliverables you own
Growth-Stage Indian D2C Brands in Beauty, Wellness, Fashion and Home
ACTRISE works with India-first, digital-first consumer brands that sell consideration-led products through meaningful e-commerce channels, where a buyer is likely to research or ask questions before purchasing.
Decision-Makers
Common Questions Before You Inquire
A few things brands usually want to know before a first conversation.
What kind of assessments do companies offer for AI product visibility?
Key takeaways
- AI product visibility assessments measure whether and how a brand appears when shoppers ask AI assistants like ChatGPT, Gemini, and Perplexity for product recommendations.
- Credible assessments are built around controlled buyer queries that mirror how real customers phrase questions in a specific category, not generic brand-name searches.
- The three core dimensions assessed are discovery (does the brand get mentioned), competition (who else appears alongside it), and representation (how accurately the brand's products are described in AI-generated answers).
What is measured?
Which AI platforms are covered?
Is this SEO?
What changes can be made?
Are rankings or sales guaranteed?
Understand How Your Products Appear in AI-Powered Buying Journeys
If you are a growth-stage Indian D2C brand and you want to know where you actually stand, not a guess but a documented baseline, start with a short conversation. We will discuss your category, your products and whether the AI Product Discovery Sprint is the right fit.
- No obligation, no hard sell
- We will tell you if the Sprint is not the right fit
- Fixed-scope engagement, not an open-ended retainer
- Documented evidence at every step