Visilyo
About Visilyo

AI is becoming a recommendation channel. Businesses need a practical way to improve their chances of appearing in it.

Visilyo was built to turn AI recommendation visibility into something a business can improve: test real customer searches, verify the evidence behind the result, then show what to change next.

The problem

Your next customer may ask AI before they ever open Google.

When somebody asks ChatGPT, Gemini, Claude or Perplexity for a provider, retailer, local firm or specialist business, only a handful of names may be surfaced. Traditional website analytics cannot tell you whether your business was understood, considered or recommended.

Visilyo is designed to close that gap: test the recommendation journey, verify why the result happened, then give the business evidence-backed actions that can strengthen its position.

Our core rule
“No recommendation without a finding. No finding without evidence.”

If Visilyo has not checked something, it should not tell a business that it is missing.

What we measure

Visibility is more than one score.

The useful question is not just “How did I score?” — it is where the recommendation journey is breaking down.

Understanding

Can AI clearly establish who you are, what you offer, who you serve and where you operate?

Trust & verification

Can important business claims be supported by credible, visible evidence rather than marketing language alone?

Discovery

When somebody asks an unbranded question, does your business actually appear — and which alternatives appear instead?

How we approach it

Evidence first. Business context second. Recommendations third.

Business-model aware

A retailer, accountant, training provider and competition business should not be judged against the same generic checklist.

Explain the why

Visibility gaps belong in the findings. Recommendations should tell the business what it can actually change.

Verify before criticising

Visilyo checks for evidence before claiming something is absent, and distinguishes missing evidence from evidence that an AI engine failed to recognise.

Show what is working

A useful report should protect strengths as well as identify weaknesses. Verified positives form part of every serious assessment.

See it on your own business

Find your first AI recommendation opportunities.

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