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Asva AI is a specialized player in the agentic stack, focusing on the "discovery" phase where AI agents act as intermediaries between users and brands. Their platform is specifically designed to manage how agents—whether they are general-purpose assistants like Claude or specialized commerce agents—perceive and recommend products. By providing tools like the LLMs.txt generator, Asva is actively pushing for the adoption of standards that make the web more readable for agents, ensuring that businesses aren't "filtered out" by the automated reasoning processes of modern LLMs.
For developers and companies building agents, Asva represents the analytical side of the ecosystem. They provide the data that explains why an agent makes certain choices. Their work in "Agentic Storefronts" and AI-readable product catalogs directly supports the transition from a human-browsed web to an agent-navigated one. As agents become the primary way users interact with the internet, Asva's role in optimizing the underlying data and tracking its influence becomes central to the health of the agentic economy.
For two decades, digital marketing was a game of keywords and backlinks aimed at a single, monolithic gatekeeper: the Google search results page. That era is ending as users migrate toward conversational interfaces like ChatGPT, Claude, and Perplexity. Asva AI is built for this new reality, providing the infrastructure for what is now being called Answer Engine Optimization (AEO). Instead of tracking where a website appears in a list of search results, Asva tracks how often a brand is mentioned, cited, or recommended in the natural language responses generated by Large Language Models (LLMs).
Founded in 2024 by Viren Inaniyan, Vishal Singh, and Umang Chhaparia—a team with roots at IIT Bombay—Asva is based in Bangalore. The company emerged just as the industry realized that standard SEO tactics do nothing to influence a model’s training data or its retrieval-augmented generation (RAG) processes. They focus on the visibility gap that occurs when an AI agent or chatbot answers a user query directly, bypassing the traditional click-through journey entirely.
Asva’s platform operates through four primary modules. The Visibility Tracker monitors brand mentions across eight major AI platforms in real-time. This is paired with an AI Traffic Decoder, which attempts to solve the attribution problem by identifying which AI sources are driving traffic to a brand’s domain. Their Prompt Intelligence tool is perhaps the most specific to the AI era: it identifies the specific queries and phrasing that trigger brand mentions, allowing marketers to reverse-engineer the "prompts" that lead to a recommendation.
One of the platform's more specialized features is GPT Shopping. As AI agents increasingly take on the role of personal shoppers, Asva tracks SKU-level visibility. This is particularly relevant for e-commerce brands on platforms like Shopify. If a user asks an AI to "find the best organic face cream for sensitive skin," Asva helps the brand understand why a competitor was cited instead of them. The platform then provides actionable recommendations to adjust product data, schema, or external content to improve those citation odds.
Asva has attracted over 500 brands, including household names like Amazon, ITC, and Myntra. This adoption suggests that enterprise marketing teams are beginning to view AI visibility as a distinct KPI, separate from traditional search rankings. The company operates a tiered SaaS model, starting at $49 per month for small teams and scaling to custom enterprise packages that include API access and daily data refreshes.
While the company offers a range of paid features, they are also active in establishing the technical standards for this new field. They provide free tools like an LLMs.txt generator, which helps websites create the machine-readable files that AI crawlers use to understand site content. This move positions Asva not just as a tool provider, but as a proponent of the emerging protocols that will define how the web is indexed by non-human agents. As search continues to fragment across multiple specialized models, Asva's value lies in providing a single pane of glass for a brand's generative reputation.
Monitor brand mentions across major AI platforms in real-time.
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