Approach · Marketing and distribution

What customers, search and AI hear should match what the business knows.

Customers often meet a business through its website, its listings, search results and AI assistants before they talk to anyone. We make sure those channels carry the business's confirmed facts in a form search engines and AI can read, then check what they actually say. We don't promise rankings or AI recommendations.

Stage · IntegrateAll eleven disciplines

How we approach it

  1. 01

    Publish from the record.

    Pages, structured data and product listings are built from confirmed facts, so every channel starts from the same source.

  2. 02

    Check what AI systems say.

    We ask ChatGPT, Claude, Gemini and Perplexity about a business, keep every answer as given, and grade each claim against the record.

  3. 03

    Fix the source, then check again.

    A fix counts only when a later check confirms it. We've proven that once, on a Google listing; not yet on an AI answer.

  4. 04

    Learn from what follows.

    Questions, quotes and requests show what customers actually need. That evidence goes back into the record.

Questions it answers

  • What do customers, search engines and AI assistants say about the business today?
  • Where does that disagree with what the business knows?
  • What are customers asking that the website doesn't answer?

In practice

Where this shows up in our own work, with each item's current status.

Tell us what you're trying to accomplish.

We'll talk through the problem, whether Lehvel is a good fit, and a sensible next step. The scope comes from the problem, not a package.

Discuss an Engagement ↗See how an engagement works ↗