One question. One action. One measurable loop.
Velova follows the full path from what a buyer asks to what AI answers, what your team publishes and what changes in the market afterward.
Start with the buying decision, not a keyword dump.
Add the brand, product, market, language and competitors. Velova builds an initial set of discovery, comparison and trust questions. Keep the recommendations, edit them or add the questions your team already cares about.
A prompt set organized around how customers actually choose.
Run the questions across the AI surfaces that matter.
Velova monitors every tracked question across the answer surfaces included in the plan. The workspace captures the response, brand mentions, position, competitors, sentiment and citations in one view.
A daily operating picture of AI-search performance.
See the gap behind the score.
Compare the brands, claims, pages and source types around each answer. Velova groups the gaps, ranks the opportunities and shows where content, technical work or external coverage can make the biggest difference.
A ranked action plan instead of a list of observations.
Create, publish and reach out from the same workflow.
Generate the article, comparison page, FAQ, schema, refresh or outreach tied to the gap. Refine it with the team, choose the destination and publish. The action remains connected to the prompt that created it.
The work goes live without rebuilding the brief in another tool.
The graph moves or it does not. Either way, you know.
Velova runs the questions again and compares the answer over time. Connect GSC and GA to see whether visibility movement reaches search demand, traffic, conversions and revenue.
A repeatable view of what worked, what did not and what to do next.
Start with the answer your buyer sees today.
Add the brand and let Velova turn the first missed recommendation into the first action.