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Officially verified details Promvia

When buyers ask ChatGPT, Perplexity or Gemini for a recommendation, does it name you — or your competitors? Promvia shows you, and hands you the fixes.

Promvia

Promvia Reviews and Details

This page is designed to help you find out whether Promvia is good and if it is the right choice for you.

Screenshots and images

  • Promvia AI traffic, revenue and citations in one view
    AI traffic, revenue and citations in one view //
    2026-08-21
  • Promvia Which questions AI answers with your name
    Which questions AI answers with your name //
    2026-08-21
  • Promvia GEO readiness score with prioritized fixes
    GEO readiness score with prioritized fixes //
    2026-08-21

Features & Specs

  1. AI Engines Tracked

    7 — ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, Bing/Copilot

  2. Markets & languages

    50+ countries, localized prompts per market

  3. AI traffic & revenue attribution

    Tracking snippet measures the visits and revenue AI assistants send, not just mentions

  4. GEO readiness score

    0-100 citability score with a prioritized fix list, each fix with a copy-paste asset

  5. MCP server & API

    Query your visibility data directly from AI assistants or your own stack

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Questions & Answers

As answered by people managing Promvia.
  1. What makes Promvia unique?

    Most tools stop at "were you mentioned?". Promvia closes the loop: it checks 7 AI answer surfaces (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, Bing/Copilot) across 50+ markets, then measures the visits and revenue those assistants actually send your site — and turns the gaps into specific, verifiable fixes with a GEO readiness score. It is also honest by design: when a number can't be measured, Promvia says so instead of estimating it.

  2. Why should a person choose Promvia over its competitors?

    Three reasons. Coverage: 7 engines and 50+ localized markets, not just the big two. Proof: a tracking snippet ties AI mentions to real visits and revenue, so visibility becomes a business number rather than a vanity metric. Discipline: no fabricated "AI search volume", no ranking guarantees — every claim in the product is something the data can back. There is also an MCP server and API, so assistants and your own stack can query the data directly.

  3. How would you describe the primary audience of Promvia?

    Marketing and SEO teams, agencies, and founders whose buyers research with AI assistants — B2B SaaS, e-commerce and service businesses that already invest in search and now need to know whether AI recommends them.

  4. What's the story behind Promvia?

    Promvia started from a measurement gap: buying questions were moving from the search box to the chat box, and brands had no way to see what the chat box said about them. Some of those questions have zero measurable Google volume yet get asked constantly of assistants. Promvia was built by Atlaven to measure that new surface honestly — including on our own domain, where the first score was an unflattering zero.

  5. Which are the primary technologies used for building Promvia?

    Next.js and TypeScript on Vercel, PostgreSQL (Neon), with direct integrations to the OpenAI, Anthropic, Perplexity, Google Gemini and DataForSEO APIs. Ships an MCP server (streamable HTTP) and a REST API.

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Is Promvia good? This is an informative page that will help you find out. Moreover, you can review and discuss Promvia here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.