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Somantra adds three AI search metrics for brand visibility and recommendation tracking

Oct. 1, 2026
By AI, Created 00:04 UTC, Oct 01, 2026, AGP -

Somantra has launched a new metrics suite to help brands measure not just whether they appear in AI search, but whether generative AI platforms recommend them over competitors. Rentomojo is already using the system to track category-by-category performance across ChatGPT and Google AI.

Why it matters: - Somantra is trying to move AI search measurement beyond simple mentions and citations. - The new scores are designed to show whether a brand is being surfaced, preferred or actively reinforced in buyer-intent conversations. - That matters for marketers because an AI mention that does not influence selection has less business value than a recommendation that helps close a sale.

What happened: - Somantra announced general availability of its AEO Metrics Suite on October 1, 2026. - The suite includes three proprietary scores: Brand Mindshare, Brand Consideration and Brand Engagement. - Rentomojo, an Indian furniture and appliance rental platform, is using the metrics as part of its AEO/GEO programme. - The launch was announced from Sydney, NSW, Australia. - More information is available here.

The details: - Brand Mindshare Score measures share of voice and share of citation across a brand’s full query landscape, including query neighbourhoods and word-shift variants. - Brand Consideration Score measures how strongly and favourably a brand is positioned relative to named competitors inside a response. - Brand Engagement Score measures how deeply an AI assistant engages with a brand’s claims across multi-turn conversations. - Somantra said the suite is built on its existing Answer Engine Optimization and Generative Engine Optimization conversation-mapping infrastructure. - The company said that infrastructure tracks millions of AI search conversations per brand category. - Somantra said the product is aimed at marketing teams that want to know not only whether a brand is visible in AI search, but whether it is being chosen. - The company said its perturbation testing across 4,445 ChatGPT responses and 135 matched query pairs in the Australian insurance category showed that a single-word change can shift which brand an AI assistant recommends. - Somantra said the new scores roll up at brand and product-line level. - Scores can be refreshed daily, weekly or monthly. - The dashboard includes movement tracking, competitor comparison and query-level detail. - Somantra also includes the metrics in its free AEO brand audit. - The audit covers 15,000 customer conversation paths across five ideal customer profiles tailored to a brand’s category.

Between the lines: - The launch reflects a broader push to treat AI search as a measurable marketing channel rather than a black box. - Somantra is positioning its product around decision quality, not just visibility volume. - That framing could appeal to brands in high-consideration categories where recommendation quality matters more than raw impressions. - Rentomojo’s use case suggests brands want category-level insight, since different product lines can surface differently in AI answers.

What's next: - Brands can request access or an audit through Somantra’s website. - Somantra said the metrics will continue to be available through its dashboard for ongoing tracking and competitor comparison. - The company is likely to use the launch to push wider adoption of its AEO and GEO measurement tools across enterprise categories.

The bottom line: - Somantra is betting that AI search success should be measured by recommendation strength, not just visibility. - Rentomojo’s adoption gives the launch an early real-world use case in a market where buyer intent can shift by category and query wording.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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