Metric
Share of Answer: the AI visibility metric founders can actually use
Share of Answer turns a vague question - are we showing up in AI? - into a metric a founder, marketer, or agency can explain quickly.
Founders do not need another dashboard full of numbers that only the marketing team understands. They need a simple read on whether AI answers recommend the company when buyers ask what to buy.
That is why Share of Answer is useful. It asks one plain question: out of the buyer questions that matter, how often does the answer include us instead of only naming competitors?
The metric is simple. The setup is not.
The hard part is not the percentage. The hard part is choosing prompts that represent actual demand. A weak prompt set makes every score look official while teaching the team almost nothing.
A useful prompt set has commercial intent
- Best-tool questions for shortlists.
- Alternative questions for competitor leakage.
- Comparison questions for decision-stage buyers.
- Pricing and value questions for late-stage evaluation.
- Trust questions for security, data, and reliability concerns.
The score should create a backlog
A 42 percent Share of Answer score is not useful by itself. It becomes useful when each missing prompt points to a specific move: publish a comparison page, strengthen docs, earn a third-party mention, add pricing context, or update a page AI keeps citing poorly.
The best AI visibility metric is the one that tells the team what to ship next.
Why this matters now
Buyers are already asking AI assistants to build shortlists. If your brand is absent from those answers, the lost click never appears in analytics. Share of Answer gives the team a way to measure that invisible demand layer.