How AnswerTrace works

Step 1: Measure, map and run the buyer queries that matter

AnswerTrace identifies the prompts buyers in your category are using across the full decision funnel: discovery queries, comparison queries, use-case questions, and validation prompts. The platform runs them across ChatGPT, Google AI, Perplexity, and Claude and measures your recommendation rate on each one.

The goal is not to treat every engine as identical. It is to see where your brand is recommended, where it is losing to specific competitors, and which engines represent the biggest opportunity for your category.

Step 2: Diagnose, identify exactly why you lose

This step goes beyond a score. AnswerTrace surfaces the specific signals your competitors have that you do not: missing content types, citation gaps on sources AI engines weight heavily, schema deficiencies, entity inconsistency across your site and off-site profiles.

You get the cause, not just the symptom. You know which competitor is winning on which queries, and what they have that you don't.

Step 3: Act, ship the highest-impact fixes from the platform

AnswerTrace surfaces the highest-leverage fixes and lets your team ship them in one click, instead of leaving a backlog for your team to translate into work.

• Buyer-question content drafts that answer the prompts AI engines pull from in your category
• Schema and entity definitions that make your category, audience, and positioning explicit
• A prioritized list of third-party citation and review-source gaps your team or PR partner can close
• Entity consistency checks across your site and off-site profiles so the model represents you accurately

Step 4: Report, from rate changes to revenue

After your team ships fixes, AnswerTrace re-runs the same queries and compares recommendation rates before and after, by engine, query type, and funnel stage. The platform maps improvement back to the specific fixes you shipped: a content asset that went live, a schema change, a citation source your team added.

And reporting goes further than rate. AnswerTrace reports AI-referred sessions through to conversions and revenue, so you know not just which fix moved which query, but which fix is associated with which sale. AI query, to recommendation, to site visit, to signup, to revenue.

That is what lets you compound the right work. AI answers shift as models update and competitors act. AnswerTrace tracks what is working so you know where to push next.

What early access means

AnswerTrace is in early access. The platform runs the measurement, diagnosis, and surfacing of fixes. During this stage, our team reviews every recommendation before it appears in your workspace to make sure it is specific to your brand, category, and the actual queries your buyers are using. Your team still decides what to ship and when.