THE DEEPSYN AUDIT PROCESS

Exactly what happens when we audit your brand.

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 analyze your brand exactly the way AI does — from the outside.

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

Every audit runs on the AIDE Framework.

Four phases. Built specifically for how AI recommendation systems actually work. This is the system behind every Deepsyn audit.

A
A
AUDIT

How AI currently interprets your brand.

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.

I
I
INTENT MAPPING

Where and when your brand should appear.

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.

D
D
DISCOVERY GAPS

Why competitors get recommended instead of you.

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.

E
E
ENHANCEMENT

What to change so AI recommends you with confidence.

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

500 prompts*. 4 platforms. Every angle a customer could ask.

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.

Discovery Prompts

"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.

Comparison Prompts

"[You] vs [competitor]."

"Alternatives to [competitor]."

The decision-stage queries where buyers choose between options. This is where recommendations turn into revenue.

Trust Prompts

"Is [you] worth buying?"

"Is [you] legit?"

"What do people say about [you]?"

The moments AI decides whether to vouch for you or hedge.

Use-Case Prompts

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

Your AI Visibility Score, broken into 5 signals.

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.

01

AI Visibility

How often AI mentions your brand across the tested prompts. The foundation — you can't be recommended if you don't appear.

02

Brand Clarity

Whether AI can clearly explain what you do, who you serve, and why you matter. Vague brands get skipped.

03

Trust Signals

The credibility AI can verify — certifications, reviews, press, expert mentions. The proof AI needs before vouching for you.

04

Category Position

Whether you own a specific use-case or blur into a crowded category. Specific brands get recommended; generic ones don't.

05

Consistency

Whether your brand says the same thing across your website, social, and every platform. Mixed signals confuse AI and kill recommendation confidence.

Live AI Response Comparison

See How AI Recommends Brands
Right Now

Watch 4 AI platforms respond to the same query — and understand exactly why some brands win everywhere while others stay invisible.

Only 7 audit slots remaining this week
Illustrative example using public brand data
"Best skincare brands for sensitive skin in India"
ChatGPT
TESTED
MinimalistMentioned
Dot & KeyMentioned
PlumMentioned
Your BrandNot Found
Gemini
TESTED
MinimalistMentioned
SkinkraftMentioned
PlumPartial
Your BrandNot Found
Perplexity
TESTED
Dot & KeyMentioned
mCaffeineMentioned
SkinkraftPartial
Your BrandNot Found
Claude
TESTED
MinimalistMentioned
SkinkraftMentioned
mCaffeineMentioned
Your BrandNot Found
Deepsyn Signal Analysis
Pattern Detected
Minimalist dominates all 4 platforms — but notice: Skinkraft, a smaller brand, also appears on Gemini, Perplexity, and Claude. Not because of ad budget. Because their niche — "custom skin analysis" — is so specific that AI can recommend them with full confidence.
Why Small Brands Also Win
Plum gets a partial mention on Gemini — AI knows them but lacks clarity on their differentiation there. This is the gap Deepsyn finds and fixes. Any brand, at any size, can close these gaps with the right signal structure.
AI Visibility Score — All 4 Platforms
Dominant
Partial
Invisible
Minimalist
94%
Dot & Key
71%
Skinkraft
58%
Plum
52%
Your Brand
5%
ChatGPT
3/3
Gemini
2/3
Perplexity
2/3
Claude
3/3

HOW WE’RE DIFFERENT

Conducted by a human. Not generated by a script.

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

Ready to see how AI really sees your brand?

The process above runs for every audit. The findings are always specific to you.

7 slots per week · Confidential · 2–3 day delivery