The TUNE Method: how we get brands named by AI.

AI engines recommend brands they can trust, understand, find talked about and quote. TUNE turns those four signals into a clear plan, and Share of Answer shows whether it’s working.

T Trust U Understandability N Network E Evidence
T

Trust

AI repeats brands it can verify. When your name, services and proof agree everywhere, AI is confident enough to recommend you.

  • One consistent brand fact sheet across every profile
  • Verified reviews on the platforms your buyers use
  • Clear author, team and credential pages
U

Understandability

AI quotes what it can read easily. Pages that answer the question in the first lines, with clear headings, get lifted into answers.

  • Answer-first service and product pages
  • Headings that match the questions buyers ask
  • Structured data and fast, crawlable pages
N

Network

AI trusts what others say about you more than what you say about yourself. Mentions on the sites it cites carry the most weight.

  • Placements in credible “best of” round-ups
  • Helpful presence on Reddit, YouTube and LinkedIn
  • Industry press, podcasts and directories
E

Evidence

Statistics, quotes and sources make content worth citing. Original data makes you the source others quote too.

  • Numbers and sources on every key page
  • Case studies with measured results
  • Original research your industry can cite
HOW WE MEASURE IT

Share of Answer

AI answers change from run to run, so we never rely on one screenshot. We ask the same questions many times, on every engine, and count how often you’re named.

Share of Answer = answers that name you ÷ total answers
50
buying questions
× 4
AI engines
× 5
runs each
1,000
answers checked

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