What is Share of Answer?
Share of Answer (SoA) is the percentage of AI-generated answers, across a fixed set of buyer questions in your category, that name or cite your brand. It is the AI-era counterpart to share of voice: instead of asking where you rank for a keyword, it asks how often you are the recommendation when a buyer asks ChatGPT, Perplexity, Gemini, Copilot, Claude, or Google AI Overviews who to consider. Measured properly, SoA uses a frozen, versioned prompt set so results are comparable over time, runs the same questions across engines, and records competitor mentions and cited domains alongside your own. That makes it a defensible baseline metric: you can watch it move as schema, content, and citation work land. As a rough industry banding in 2026, established category players typically sit between 15 and 30 percent, while new entrants usually start below 5 percent.
How is Share of Answer measured?
A credible SoA measurement has four properties:
- A fixed prompt set. A set of buyer-intent questions for the category (ours is 50 per client), mixing "best X for Y", "X vs Z", and problem-led phrasings, frozen at baseline and versioned thereafter.
- Multi-engine coverage. The same questions run across the six major engines: ChatGPT, Google AI Overviews, Perplexity, Gemini, Microsoft Copilot, and Claude. Engines diverge sharply, so a single-engine number is a partial truth.
- Owned parsing. Raw answers are archived and scored with a consistent, versioned parser: named or not, cited or not, at what position, which competitors appeared, which domains were cited. Renting a vendor's opaque score means your metric moves when their methodology does.
- Competitor and citation context. Your number only means something next to competitors' numbers and the list of domains engines actually cite, because that list is where your buyers are being sent instead.
What is a good Share of Answer?
Context decides, but the 2026 pattern is consistent: category-defining brands hold 40 percent or more, established players typically sit between 15 and 30 percent, and new entrants start below 5 percent. The useful question is not the absolute number; it is whether your number is moving against your own frozen baseline while your competitors' numbers are not.
Why anchor a guarantee to SoA?
Because nobody controls a specific AI citation, and honest operators say so. What can be promised is measurable movement: schema, content, and citation work land, and Share of Answer versus your own trailing baseline moves inside a defined window, visible on an open dashboard. That is the difference between guaranteeing an outcome you own and promising an engine's behavior you do not.
Updated · Dreamware Development
Common questions
How is Share of Answer different from share of voice?
Share of voice measures presence in paid or earned media impressions; Share of Answer measures presence in the AI answers buyers actually receive. It is closer to a recommendation rate than an exposure metric, which is why it correlates with pipeline in categories where buyers research through assistants.
How many questions should an SoA prompt set contain?
Enough to cover category, comparison, and problem-led queries without diluting the signal. We run 50 buyer-intent questions per client, frozen at onboarding and versioned, so every re-run measures movement rather than measurement drift.
Why does the prompt set need to be frozen?
Because buyer language drifts and so do engines. If the questions change quietly between runs, the metric changes with them and the baseline means nothing. Freezing and versioning the set is what makes SoA defensible enough to anchor a guarantee.
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Find out what AI says when your buyers ask
The $999 AI Visibility Audit measures your Share of Answer across six engines, shows where AI sends your buyers instead, and hands you a 90-day roadmap. Credited to month one if we work together.