Seismic achieves 10x faster and more relevant search results with Elastic

Need to quickly launch AI capabilities that enhance enablement offering

As an industry leader, Seismic is practiced in the art of efficiency. However, empowering clients to maximize every customer interaction is more challenging than ever due to having less time in front of buyers. Shorter interactions call for faster processes — without losing touch with what’s most relevant to potential customers. To quickly supply client sellers with the information they need on demand, Seismic needed to accelerate the deployment of AI features for sellers.

“We don’t spend our time creating new tools just for the sake of doing something new,” says Tom Strader, VP of incubation engineering at Seismic. “It’s very important that we focus on technologies that will bring our customers as much value as possible.”

Delivering relevant results and answers to improve the seller experience

Knowing the market was shifting to AI-driven experiences, Seismic prioritized speed to value, security, and scale. Instead of building and maintaining bespoke models, the team wanted to rapidly ship a secure, enterprise-grade generative AI application foundation.

Using the Elasticsearch Platform, Tom and his team built the Aura Copilot, Seismic’s generative AI assistant for sellers. Aura uses natural language to find and synthesize the right assets and insights, grounded in Seismic’s governed content. Sellers can ask Aura to analyze client data, assemble materials, and draft a first-pass pitch — accelerating preparation while maintaining brand and compliance controls. With Aura Copilot, sellers can quickly gather the right content using natural language prompts to strengthen customer relationships and get up to speed on the latest product offerings.

Since the launch of Aura Copilot, Seismic has seen a 20% increase in search usage, proving that when search works well, customers are eager to use it.

“Working with Elasticsearch, we’re getting information in front of users quickly and easily, allowing sales teams to spend more time giving customers the quality experiences they expect,” says Strader.

The Elasticsearch Platform accelerates AI development for improved sales experience

Seismic previously used an open source version of Elasticsearch in its products, but to enhance its customers’ ability to find exactly what they need and accelerate development, the company turned to Elastic’s enterprise offering.

Rather than spending resources to build and train its own AI search models, Seismic’s engineering team leveraged the Elasticsearch Platform, particularly Elasticsearch and its OOTB semantic search machine learning capabilities, to develop Aura Copilot. To help teams quickly gather the right content using natural language prompts, Seismic’s investment in Aura Copilot enhances its existing product offering by allowing sellers to quickly retrieve contextually relevant information for any query.

Running on Elastic Cloud on Azure and IBM Cloud, Seismic gains an all-in-one solution with everything it needs to provide more accurate search results. Sales reps no longer need to wade through information or try to recall the names of the documents they need, as Elasticsearch delivers answers in seconds. They can easily find information that can improve their prospect and customer relationships, whether the information they’re looking for is in PDFs, wikis, or sales plays.

Faster AI innovation and better search experiences

Compared to previous solutions, the Elasticsearch Platform helped Seismic realize:

• 10x improvement to search speed and relevancy: Seismic users can find the exact information they need much faster.
• Increased search usage by 20%: Seismic users increasingly embrace semantic search powered by Elastic, improving customer experiences.
• Reduced IT management overhead and accelerated AI innovation: With Elasticsearch on Elastic Cloud, Seismic spends fewer resources managing the search function, which accelerates the time-to-market for new features such as Aura Copilot.

Elasticsearch is the core retrieval engine and foundational technology of the Elasticsearch Platform. With an OOTB ML model that retrieves semantically relevant results and answers, Seismic can easily develop easy-to-use and accurate search solutions for customers. Elastic was the obvious choice for Seismic because it delivers:

• Faster time to market and impact: By adopting Elastic’s native semantic and hybrid search, Seismic moved from experimentation to production quickly — delivering materially better outcomes without a long model-development cycle.
• Scalable performance at lower TCO: Elastic’s proven indexing, vector search, and inference pipelines scale with customer growth and content sprawl, while managed operations reduce maintenance overhead for Seismic’s team.
• Trustworthy, relevant answers: Elasticsearch boosts semantic understanding and intent matching; combined with structured filters and relevance tuning, sellers get the most pertinent content and guidance first — improving win readiness and shortening sales cycles.
• Deep developer expertise backed by Elastic’s responsive support team: Strader says Elastic’s developer expertise “allows us to increase velocity and move faster in this incredibly dynamic AI space.”

By working with Elastic, Seismic maintains its competitive edge and position as a leader in global sales enablement, serving revenue leaders.

“We chose Elasticsearch because of its proven production-ready platform, including excellent support for vector search that helps us provide users with the results that they want without needing the exact keywords.”

— Tom Strader, VP of Incubation Engineering, Seismic