Somantra Review: Scoring How Brands Show Up in AI Search

As more shoppers ask ChatGPT, Google AI Overviews, Claude and Perplexity for recommendations instead of typing a search query, brands are discovering that showing up in those answers takes a different kind of measurement than traditional search rankings. Somantra is built specifically for that problem: an AI search intelligence platform that scores how often, how favorably and how deeply a brand is mentioned across thousands of simulated AI conversations.

Rather than guessing at AI visibility from spot checks and screenshots, Somantra runs structured testing at scale, mapping where a brand gets recommended, where it gets overlooked, and which competitors are winning the conversations that matter most to its category.

What is Somantra?

Somantra is an Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) platform aimed at enterprise brands in categories where trust and consideration matter — financial services, insurance, cybersecurity and other professional-services-style purchases where buyers tend to research heavily before committing. The platform’s expanded metrics suite adds three scores designed to give marketing teams a clearer read on AI visibility: Brand Mindshare, Brand Consideration and Brand Engagement.

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Each score is generated by running a minimum of 15,000 simulated customer conversations per brand across Ideal Customer Profiles, then analyzing how the brand surfaces, or doesn’t, at each stage of that conversation.

Key features / What stands out

Brand Mindshare Score

Measures a brand’s overall share of voice and citation frequency across its full query landscape, benchmarked directly against named competitors rather than in isolation.

Brand Consideration Score

Evaluates how favorably and how strongly a brand is positioned relative to competitors once it does get mentioned, not just whether it shows up, but whether the AI’s framing would actually move a buyer toward it.

Brand Engagement Score

Tracks how deeply AI assistants engage with a brand’s specific claims across multi-turn conversations, rather than single-prompt snapshots, which is closer to how real buyers actually research before converting.

Multi-platform coverage

Somantra monitors ChatGPT, Google AI Overviews, Claude and Perplexity side by side, so marketing teams can see whether a visibility gap is platform-specific or a broader brand-positioning issue.

Source analysis, heatmaps and funnel tracking

The platform also identifies which websites and publications the AI models are actually citing when they do recommend a brand, giving marketing and content teams a concrete list of where to focus outreach and content investment. Results are visualized through a mindshare heatmap that shows where a brand is strong or weak across different query types and competitor sets, alongside drop-off tracking that shows the point in a simulated conversation where a brand stops being considered. That combination makes it easier to tell whether a visibility problem is about discovery — the brand never comes up at all — or about consideration, where it’s mentioned but loses out once a buyer asks a follow-up question.

Who it’s for

Somantra is built for enterprise marketing and brand teams, rather than solo marketers or small local businesses, with the heaviest-consideration categories — financial services, insurance and cybersecurity among them — named as the platform’s sweet spot. Companies competing for high-value, long-consideration purchases, where a buyer might ask an AI assistant to compare several providers before even visiting a website, stand to get the most value from monitoring these scores over time.

Teams that already run traditional SEO and share-of-voice tracking but have no equivalent process for AI-generated answers are a particularly natural fit, since Somantra’s scores are explicitly designed to be benchmarked against competitors the way a share-of-voice report would be. Somantra offers a free brand audit covering 15,000-plus conversation paths across five Ideal Customer Profiles, a reasonable way for a marketing team to see the full metrics suite applied to their own brand and named competitors before committing further; pricing beyond that entry point is handled through direct conversations with the company rather than a published rate card, so the free audit is also the most practical way to gauge expected value before budgeting for anything ongoing.

What makes it worth considering

AI search visibility is still a new enough discipline that most brands are flying blind, judging their presence in ChatGPT or Perplexity answers off a handful of manual prompts rather than anything close to a representative sample. Somantra’s approach of running thousands of simulated conversations per brand, then breaking the results into three distinct, benchmarkable scores, gives marketing and brand teams something closer to the rigor they’re used to from traditional SEO and share-of-voice tracking.

The source-analysis feature is a particularly practical addition, since it turns an abstract ‘are we visible in AI’ question into a concrete list of sites worth pitching or partnering with. And because the testing spans four major AI platforms rather than just one, a brand team can also see whether a weakness is isolated to a single assistant — worth a targeted fix — or shows up consistently everywhere, which usually points to a deeper positioning or content gap rather than a platform-specific quirk.

Verdict

For enterprise brands in considered-purchase categories that are serious about understanding, and improving, how they show up in AI-generated answers, Somantra’s metrics suite offers a structured, competitor-benchmarked way to do it instead of guesswork. The free brand audit is a sensible first step for teams that want to see where they currently stand before deciding how much further to invest.