No black box. No vague “AI magic.” This is the complete, transparent breakdown of how we test, analyze, and decode the way AI sees your brand — step by step.
BEFORE WE BEGIN
We never ask for your backend, your logins, or your analytics. AI doesn’t have those either. AI builds its understanding of your brand from what’s publicly visible — your website, your social profiles, your reviews, your press, the way you describe yourself across the internet.
So that’s exactly where we look. We see what AI sees. Then we test what AI does with it.
OUR METHODOLOGY
Four phases. Built specifically for how AI recommendation systems actually work. This is the system behind every Deepsyn audit.
We test real buyer-intent prompts across ChatGPT, Gemini, Perplexity, and Claude — the exact questions your customers ask. We record where your brand appears, where it's partially recognized, and where it's completely invisible.
We map the specific customer questions that matter most in your category — the high-intent moments where a recommendation turns into a sale. Then we measure how often you show up in those exact moments.
We analyze every response to find the precise reasons AI prefers other brands — clearer positioning, stronger trust signals, sharper category ownership. We decode their advantage so you can close it.
We translate every finding into a specific, ranked action plan. Not theory — exact fixes, prioritized by impact, mapped to a 30-day timeline.
THE TESTING PROCESS
We don’t run a few random searches. We test your brand across the full buyer journey, structured into four categories that mirror how real customers move from curiosity to purchase.
"Best [category] brands in India."
"Top [category] for [use-case]."
The broad searches where customers first encounter brands. If you're invisible here, nothing else matters.
"[You] vs [competitor]."
"Alternatives to [competitor]."
The decision-stage queries where buyers choose between options. This is where recommendations turn into revenue.
"Is [you] worth buying?"
"Is [you] legit?"
"What do people say about [you]?"
The moments AI decides whether to vouch for you or hedge.
The specific, granular searches tied to your exact product and audience.
Where niche brands often win against bigger competitors.
* Every prompt is run in a fresh, isolated session — so each result reflects how AI genuinely responds to a real customer, with no contamination from previous queries.
WHAT WE MEASURE
Every brand is scored across five weighted signals. Together they produce your AI Visibility Score out of 100 — and show you exactly which signal is holding you back.
How often AI mentions your brand across the tested prompts. The foundation — you can't be recommended if you don't appear.
Whether AI can clearly explain what you do, who you serve, and why you matter. Vague brands get skipped.
The credibility AI can verify — certifications, reviews, press, expert mentions. The proof AI needs before vouching for you.
Whether you own a specific use-case or blur into a crowded category. Specific brands get recommended; generic ones don't.
Whether your brand says the same thing across your website, social, and every platform. Mixed signals confuse AI and kill recommendation confidence.
Watch 4 AI platforms respond to the same query — and understand exactly why some brands win everywhere while others stay invisible.


HOW WE’RE DIFFERENT
Automated tools scrape data and output a template that looks the same for every brand. We don’t. Every prompt is chosen for your category. Every finding is written for your brand. Every fix is specific to your gaps. That’s the difference between information and intelligence.
Automated tools
One template for every brand
Deepsyn
Every prompt chosen for your category
Deepsyn
Every finding written for your brand
Deepsyn
Every fix specific to your gaps
The process above runs for every audit. The findings are always specific to you.
7 slots per week · Confidential · 2–3 day delivery