The audit we wanted to buy

1. Why this exists

We run a clothing brand. One day we asked ChatGPT which brands it would recommend in our category, and it named three of our competitors and not us. We wanted to know why, and what to change.

Every AI-visibility tool we tried gave us a score and a “book a demo” button. No methodology. No list of which questions were asked, or which engine said what. No fix we could actually paste in. That is not an audit; it is a sales funnel with a number on the front.

So we built the one we wanted to buy. The method is published. The math is on every page. The price is on the homepage. And we ran it on our own brands first and published the results, including the ones that scored badly.

2. What it does

LensCore takes the questions a buyer actually types when they are ready to choose — twenty-five of them, adapted to your category — and asks five AI answer engines each one: ChatGPT, Gemini, Claude, Perplexity and a retrieval engine. It records which brands each engine names, in what order, citing which sources.

• Deterministic. Same inputs, same score. Change your site, re-scan, and the score moves with it. A number you cannot reproduce is not a measurement.
• Per engine, per question. Not one blended figure — you see which engine names you, which does not, and which of your rivals it names instead.
• Sources shown. When an engine cites a page to justify a recommendation, you see the page. That is where the fix usually is.
• A Fix Kit, not advice. Paste-ready schema, content and structural changes, ordered by effort against impact.

The full methodology, including its known limits, is on the docs page. Read it before you pay. We would rather you understand what a score means than be impressed by one.

3. What we will not do

• No fabricated testimonials, no paid reviews. If you see a quote here, a real person said it and agreed to be named.
• No guaranteed rankings. We measure what AI engines say today. We never sell a promise about what they will say tomorrow, because we cannot measure a promise.
• No hidden pricing. Every tier and its price is on the homepage. There is no “contact sales”.
• No softening the score to make a sale. If your brand is invisible to AI, the report says so, and then says what to do about it.

4. Who we are

LensCore is built by Outkast Printwears LLP, a two-partner company in Chennai, India. We came to this from the founder’s side, not the agency side: we had a brand, AI engines had opinions about it that we could not see, and no tool would show us the working. This one does.

Indian-made, built for brands anywhere. Payments through Dodo, in your currency.

5. Contact

Questions about the audit, the method, or working together: