Press Release Overview
ThatWare, an India‑founded search intelligence company, announced the development of a new enterprise search strategy built around AI‑driven discovery. The firm introduced two core frameworks: AI Visibility Metric (AVM), a measurement system that evaluates a brand’s presence, citations, authority, consistency and position across AI assistants such as ChatGPT, Google Gemini and Perplexity; and Vector Entity Modelling (VEM), which ensures that a company is represented as a clear, machine‑understandable entity across websites, media coverage, directories, reviews, executive profiles and other third‑party sources.
Measurement Approach
AVM does not treat a single AI response as a permanent ranking; instead it aggregates multiple dimensions of visibility to identify where a brand appears, how accurately it is described, and how prominently it is cited relative to competitors. VEM focuses on consolidating fragmented digital identities—especially for large enterprises operating in multiple countries, languages, product lines and business units—by linking structured data, knowledge graphs, authoritative citations and semantic architecture into a coherent digital footprint.
Enterprise Implications
The company argues that traditional SEO metrics—Google rankings, organic traffic, backlinks and conversions—remain fundamental, but AI visibility adds a governance layer. Enterprises must now monitor how products, executives, services and corporate facts are interpreted by various AI systems, assess whether AI‑generated answers contain outdated information, track which competitors are recommended, and ensure sufficient evidence supports commercial claims. ThatWare’s model therefore combines large‑scale technical SEO with AI visibility audits, competitor intelligence, citation analysis, entity architecture, Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), LLM SEO, and semantic search engineering.
Emerging Disciplines
The firm highlights emerging services such as enterprise AI visibility audits, competitor AI visibility analysis, AI citation tracking, AI share‑of‑voice measurement, LLM visibility monitoring and multi‑market AI search intelligence. These are positioned as complementary to, not replacements for, conventional search metrics.
Measurement Challenges & Transparency
Because AI‑generated answers can vary with model version, prompt wording, geography, context and timing, ThatWare stresses methodological transparency. It recommends that organizations disclose the number of prompts tested, the AI platforms included, test frequency, covered countries and languages, citation assessment methods and competitor benchmarking criteria.
India’s Role in the Evolving Search Economy
India, described as one of the world’s largest digital markets and a source of technology firms serving global customers, offers an early‑entry opportunity for Indian enterprises to shape the transition from conventional SEO to AI‑led discovery. Banik notes that while Google rankings and technical SEO remain essential, the number of systems mediating the buyer journey is expanding, turning search into a blend of rankings, answers, citations, recommendations and machine understanding.
Upcoming Thought Leadership
Dr. Tuhin Banik, Founder and CEO of ThatWare, is scheduled to speak at BrightonSEO in October 2026 on the topic “It’s Not Enough to be Cited: How AI Systems Draw Conclusions About Brands,” where he will discuss how AI moves from locating information about an organization to forming broader brand conclusions.
Disclaimer
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