As brands increasingly track visibility across ChatGPT, Google AI Overviews, Gemini, Claude and Perplexity, simple mention and citation counts are becoming less informative. Somantra has launched an AEO and GEO metrics suite designed to measure not only whether AI systems surface a brand, but how they position and discuss it during search conversations.

Somantra has announced general availability of its AEO Metrics Suite, introducing three proprietary measurements: Brand Mindshare Score, Brand Consideration Score and Brand Engagement Score.

The company positions the metrics as a new measurement layer for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), where marketers increasingly need to understand how brands appear inside AI-generated answers rather than relying exclusively on traditional search rankings.

Most AI visibility monitoring systems focus on whether a brand is mentioned or whether a website is cited. Somantra argues that these measurements can obscure important differences between a brand that is merely referenced and one that is actively recommended.

Its Brand Mindshare Score is designed to measure share of voice and citation across a broader query landscape, including variations of queries that can change how AI systems respond. Brand Consideration Score evaluates how favorably a brand is positioned against named competitors within an answer. Brand Engagement Score examines how extensively an AI system engages with a brand's claims throughout a multi-turn conversation.

The distinction becomes particularly relevant as AI search moves toward conversational buying journeys. A user may begin with a broad category question, ask for alternatives, introduce a budget constraint and then request a recommendation. A brand appearing in the first answer does not necessarily mean it remains part of the consideration set later in the conversation.

Somantra says its own perturbation testing illustrates this volatility. The company analyzed 4,445 ChatGPT responses across 135 matched query pairs in the Australian insurance category and found that changing a single word in a query could alter which brand an AI assistant recommended for attributes such as safety or value.

Because the research is Somantra's own testing rather than an independent industry study, the finding should be viewed as a company-reported indication of query sensitivity rather than a universal benchmark across all AI search systems.

The new metrics are built on Somantra's existing conversation-mapping infrastructure, which the company says tracks millions of AI search conversations across brand categories. Its system builds query sets based on product and service information, customer personas and statistically significant competitors, then evaluates responses across platforms including ChatGPT and Google AI.

The resulting data can be viewed at brand and product-line level. Somantra says marketers can refresh the scores daily, weekly or monthly and examine movement over time, competitor comparisons and individual queries.

Rentomojo, an Indian furniture and appliance rental company, is using the metrics as part of its AEO/GEO strategy. According to Dhruv Wahal, AVP – Marketing & Growth at Rentomojo, the company uses the scores to identify buyer-intent conversations where its brand is recommended or absent across different product categories.

Wahal also said the Engagement Score helps Rentomojo understand which pages and content AI assistants draw from during conversations.

The competitive landscape around AI visibility measurement is developing quickly. Platforms including Semrush, Ahrefs, BrightEdge and Profound have expanded into AI-search visibility, brand monitoring or generative-search analytics. The market is consequently shifting from a basic question—“Does AI mention us?”—toward more nuanced measurements around recommendation, competitive positioning, citation sources and conversational persistence.

Somantra's launch reflects that transition. If AI assistants become a meaningful discovery layer for commercial research, marketers will need metrics that distinguish exposure from actual consideration.

Market Landscape

Traditional SEO measurement revolves around rankings, impressions, clicks and organic traffic. AEO and GEO introduce a different measurement problem because AI-generated answers can synthesize information from multiple sources and may not provide a conventional ranking position.

This has created demand for visibility platforms that monitor mentions, citations, source pages, sentiment and competitive presence across AI systems.

Somantra's three-score framework attempts to add another layer by separating brand exposure from recommendation strength and multi-turn engagement. The broader industry is still developing common measurement standards, making methodology and repeatability important considerations for enterprise marketers.

Strategic Outlook

AI-search measurement is moving toward quality of visibility rather than visibility alone.

For marketing teams, the practical question is increasingly whether AI systems associate a brand with the attributes that matter during purchase research—and whether those associations persist as a conversation becomes more specific.

Somantra's approach also highlights the importance of query variation. A brand's AI-search presence may change based on wording, intent, comparison criteria or conversation context, meaning periodic snapshots can provide only part of the picture.

The next phase of AEO and GEO measurement is likely to focus increasingly on connecting AI visibility data with content strategy, competitive positioning and measurable customer journeys.

Top Insights

• Somantra's AEO Metrics Suite introduces Mindshare, Consideration and Engagement scores designed to measure different dimensions of brand visibility across AI search.
• Brand Consideration Score distinguishes recommendations from passing mentions by examining how a brand is positioned relative to named competitors.
• Brand Engagement Score evaluates multi-turn AI conversations, providing visibility into whether an assistant continues engaging with a brand's claims.
• Rentomojo uses the metrics to identify buyer-intent conversations where its brand is recommended or absent across furniture and appliance categories.
• The launch reflects a broader shift from counting AI citations toward measuring competitive positioning and the quality of brand visibility.

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