Design & development

From an idea to a working AI product.

01 / The public website — a direct starting point for exploring a brand’s AI visibility.

The question behind it

When someone asks AI for a recommendation, does your brand show up? And if it does, is the answer accurate? AI Brand Lens brings those questions into a product: a way to compare what different AI systems say, see the competitors they surface, and examine the evidence behind the answer.

One product, end to end

This is my own product, built from the initial idea through design and development. The work brings together the public website, application experience, and AI integrations—connecting the promise on the homepage to the information people can actually explore.

From answers to context

A mention alone does not explain the whole picture. The workspace brings visibility, brand perception, citation readiness, and competitor research together, helping people move from a high-level signal to the questions worth investigating.

02 / Inside the application — brand briefing, provider consistency, and competitive context in one view.

01 / Compare

Ask across providers.

Look at how different AI systems describe a brand and which alternatives they recommend.

02 / Investigate

Keep the evidence.

Separate original answers from their interpretation and the brand’s own published information.

03 / Monitor

See what changes.

Return to the same questions over time instead of treating one answer as a permanent verdict.

03 / Tracking local visibility, recommendations, and citations over time. Screens show a point-in-time workspace, not a promise of results.

Evidence before a score

The product keeps original provider output, versioned interpretation, and owned evidence separate. That distinction matters: an AI answer is an observation to examine, not a guarantee of how every buyer will be answered. The goal is to make the signal understandable and give people a clearer place to start.