Promvia
Promvia is a software-as-a-service analytics platform that tracks whether AI search assistants such as ChatGPT, Perplexity, Gemini and others actually recommend a given business. The platform is designed for the era of Generative Engine Optimization (GEO), where an AI model crafts a single synthesized answer and often lists only one or two organizations, with no traditional search results page. Instead of tracking rankings, Promvia measures whether your brand is mentioned or cited within these AI-generated answers, and who the AI recommends in your place. The product is structured around four steps: Check, Fix, Win, and Measure. First, users track the specific buyer questions their customers ask across multiple AI engines and 53 localized markets, and they see whether the assistant names the user's brand, a competitor, or nobody. Second, Promvia performs a site audit and assigns a readiness score from A to D, based on verifiable signals such as schema.org structured data, llms.txt presence, and entity-linked quotes. Third, a prioritized checklist and AI coaching help users close the gaps found, after which they can re-run checks to observe changes. Fourth, a one-line JavaScript snippet enables Promvia to attribute visits and revenue that originate from AI assistant recommendations, separating them from the "direct" traffic bucket that otherwise hides these visits. The company is explicit about not promising any specific AI citation, emphasizing that the final decision is made by each assistant. However, Promvia provides a transparent methodology page and even publishes a live scoreboard of its own performance, including queries where it is not named. A free AI citability score is available without signup, and a free plan exists to start using the platform.
- Category
- Analytics
- Pricing
- Paid
Problem solved
Businesses today have little insight into whether AI assistants like ChatGPT, Perplexity, or Gemini recommend them to customers, and any resulting web visits typically get lumped into direct traffic. Promvia solves this by measuring AI-driven brand citations, calculating a readiness score, attributing real traffic and revenue from AI recommendations, and giving a prioritized checklist to improve a site's chances of being named.
Use cases
- Monitor whether ChatGPT, Perplexity, or Gemini mentions your brand in product recommendation queries
- Calculate your share of voice versus named competitors inside AI answers
- Audit a website's AI readiness by checking structured data, llms.txt, and other verifiable signals
- Measure clicks and revenue that originate from AI assistant referrals
- Get a prioritized list of fixes such as JSON-LD schema or FAQ markup for GEO
- Track how AI citations change over time after you implement technical improvements
Audience
- Business Users
- Product Managers
- Enterprise
- Startups
Pros
- Measures actual traffic and revenue from AI referrals, not just brand mentions
- Provides an A–D readiness score with concrete, prioritized actions
- Tracks several AI engines across multiple localized markets
- Offers a free no-signup AI citability check
- Publishes its own measurement methodology and a live scoreboard for transparency
Cons
- Does not (and cannot) guarantee AI recommendations
- Full traffic attribution requires installing a one-line snippet on the user's website
- Only covers user-selected queries and the AI engines currently supported
- Lacks obvious support for manual lookup of AI answers in non-configured searches
- Integration may require marketer or developer involvement to implement fixes
Official website: https://promvia.app/
Canonical LambdaBase page: https://www.lambdabase.com/tools/promvia