Top 11 Glean Alternatives & Competitors for 2024 | Best GenAI LLM for Sales

Large Language Models (LLMs) are transforming sales activities and powering most of the GenAI innovations for sales.

Crafting personalized content, automating routine tasks, and understanding common language are some of their many AI abilities, which simplify sales workflows and bring teams some respite.

Glean has stood out as one of the best GenAI solutions for busy sales teams, but there are better and more powerful options to consider.

We’ll discuss 11 Glean alternatives and competitors: Docket AI, Coveo, Getguru, Tribble, Gong.io, Bloomfire, Emma, Conversica, Claude AI, Elastic Search, and Lucidworks Fusion.

Why do you need a Glean alternative?

Before discussing Glean’s potential downsides, here are some must-have features that help you select the right GenAI LLM for your sales workflows:

Automated knowledge management 

A central hub for sales collateral ensures content is easily accessible and always up-to-date. The best AI sales tools must offer easy access to company-wide knowledge and recommend the right content for more productive sales teams. 

Conversational intelligence 

Tools that can record and transcribe sales meetings no longer make the cut. Look for ones that also extract valuable insights through conversational intelligence, such as highlighting recurring prospect pain points and pricing objections.

Integration with your existing technical and tool ecosystem 

Each LLM may offer different APIs, tech stack compatibility, and resource requirements. So, ensure the AI tool seamlessly integrates with your team’s workflows and internal tools.

Scalability 

Understanding how well a GenAI LLM can adapt and handle larger workloads as demand spikes is crucial. Look for tools that support larger knowledge bases and storage options.

But why look for a Glean alternative?

1. Lack of advanced searchability 

Glean often struggles with providing accurate responses and can sometimes miss the question’s context. The tool also struggles to comb through more complex search results.

2. Less helpful in searching through Slack

Slack is one of the most sought-after team collaboration tools, where important discussions happen daily. However, Glean is less helpful when searching through Slack conversations for sales rep queries than its document searchability. 

3. Evolving AI search

Glean’s AI search functionality is still in its early stages. It has trouble understanding a different language or a search query without specific keywords and decoding industry terminology. 

11 Glean alternatives for sales 

Here are the top 11 alternative GenAI tools you can use instead of Glean:

1. Docket AI

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Docket AI is an enterprise-ready digital sales assistant that harnesses the power of GenAI to help sales teams navigate through complex prospect queries and routine sales tasks.

It learns from 100s of your internal knowledge sources, such as meeting recordings, Slack conversations, sales enablement tools, etc., to help sales reps win deals by offering exceptional insights on objection handling, competitor trends, best practices, and more.

From questions related to product details to sales-related queries, Docket answers them in just a few seconds. 

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Pros

• Unline Glean, Docket AI searches through, understands, and answers technically complex queries asked by prospects or customers

• Unlike Glean’s language barrier, Docket can understand various languages, interpret the context, and answer queries in the same language

• GTM teams can fill out RFPs and RFIs automatically in seconds using Docket and save valuable time performing repetitive work

• Integrates with advanced sales enablement tools like Seismic and Highspot to help centralize company-wide critical sales data and find information instantly 

• Unlike Glean's weak Slack searchability, Docket AI searches Slack threads extensively to return relevant, precise, and verified responses in seconds

Cons

• Docket could have more tool integrations 

• Best suits organizations with large sales and marketing functions that use multiple GTM tools

2. Coveo

Coveo AI helps accelerate sales rep productivity with its advanced searchability. The tool’s Salesforce AI search solution reduces the amount of time taken by sales reps searching and validating myriad sales assets.

Sales teams can fetch sales collateral, case studies, sales presentations, and proposals via Coveo’s 55+ data source connectors.

Pros

• Tailored content made available at different sales cycle stages through Coveo Machine Learning

• Contextual and relevant search results to all types of search queries

• Analytics dashboard to assess sales team performance markers, such as their most searched queries or topics

Cons

• Expensive for smaller businesses

• Heavy dependency on native Coveo Cloud infrastructure for hosting and managing search indexes

• Can have a slight learning curve

3. Getguru

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Guru is a GenAI enterprise search tool that provides sales teams access to the most up-to-date and relevant data with its GenAI-powered suggestions.

It’s also a game-changer in knowledge centralization by making creating, sharing, and organizing documents a breeze. 

Pros

• A privately trained AI LLM for each organization’s unique sales use case

• Most GenAI tools lack semantic search functions. However, Guru has excellent semantic searchability with its smart enterprise AI search function 

• A very user-friendly interface and easy implementation 

Cons

• Some searches can take more time and require the user to tag more search keywords

• Lacks sales-specific automation solutions like in Docket

4. Tribble

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Tribble is an AI-driven digital sales engineer focused on providing sales teams with the latest answers to technical product questions so they have around-the-clock deal guidance.

Sales reps can use Slack or Microsoft Teams to ask Tribble for guidance and receive on-the-spot responses. 

Pros

• Alongside searching the company’s knowledge sources, Tribble also researches across the web to provide more real-time answers

• Tribble’s RFP automation has saved teams hours of valuable time

• Uses advanced GenAI that quickly learns and adapts to new use cases

Cons

• Can be expensive for SMBs

• Heavy reliance on GenAI often leads to data inaccuracies 

5.  Gong.io

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Gong relies on GenAI for its sales use case - Call Spotlight. It aims to increase sales team productivity by learning from your customer conversations and gives critical insights like potential outcomes, pain points observed, and next steps to move the deal forward. 

Pros

• Helps sales teams save about 80% time of their call-listening time by auto-generating a call outline

• AI-generated answers to custom questions on key topics discussed over sales calls

• Easily integrates with workflows and auto-attaches to all sales calls

Cons

• Some users have complained of poor transcript generation

• Some language inconsistencies were noticed

6. Bloomfire

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Bloomfire is an AI knowledge management platform with an outstanding GenAI-powered enterprise search functionality that’s based on a variety of AI techniques, including intent recognition and LLMs. 

Its advanced functions apart from GenAI include semantic search and deep indexing. Together, they form an exceptional searchability solution where teams can centralize knowledge and boost team productivity. 

Pros

• Instant answers to company knowledge with a smart search option

• Looks through audio and video files where AI transcribes these files and highlights snippets that match your search terms

• Very intuitive and beginner-friendly

Cons

• Some users noticed inaccuracies in search results

• Can be expensive for SMBs

7. Emma

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Emma is a straightforward GenAI platform that acts as a digital assistant to boost team productivity. 

You can also build your own custom AI assistant based on the tool’s OpenAI GPT-3.5 technology. This chatbot-like assistant connects with your business data and integrations and offers teams some respite from performing manual data searches.

Pros 

• Emma self-trains your assistant by asking tailored questions and getting it to speed for production

• Integrates with multiple collaboration, sales, and analytics tools to give you instant access to hidden data that can help make deal-critical decisions

• Supports a variety of GenAI-related use cases, such as drafting personalized email follow-ups, competitor analysis, and more

Cons

• Could be more user-friendly

• Lacks backend functionalities 

8. Conversica

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Conversica is a GenAI-powered conversational intelligence and self-learning platform that aims to create human-like conversational engagement to convert prospects and leads.

The platform also acts as a sales assistant - a revenue digital assistant (RDA) that personalizes interactions across channels like websites for potential lead inquiries, emails for nurturing sequences, and more. 

Pros

• Immediately auto-responds to interested inbound leads with authentic, two-way conversations

• Saves sales rep time by automating cold outreach activities. The RDAs help gauge prospect interest, pre-qualify them, and schedule meetings on auto-pilot

• A massive library of pre-built conversations that can be customized and deployed in a few days

Cons

• The wording of a few generated conversations can be inaccurate and odd at times and cannot be edited

• A language barrier exists

• Some prospects or customers may not prefer being reached out to by an AI tool

9. Claude AI

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Claude is a trained and accurate GenAI assistant by Anthropic that can perform a wide range of actions, such as analysis of call transcripts, analyzing trends based on uploaded knowledge sources, and much more.

Claude AI, like most learning models, is built to generate text and visuals based on the patterns it has been trained on.

Pros 

• The generated responses are human-like, contextual, and engaging

• No hallucination, unlike other GenAI tools such as ChatGPT

• Easy to use and quick to respond

Cons

• Occasional translation errors noticed by some users

• The tool is yet to be trained on more extensive data to support multiple sales-related use cases compared to other GenAI Glean alternatives

10. Elastic Search

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The Elastic Search AI platform lets users have LLMs that search large databases instantly. 

It’s perfect for enterprise sales teams that need a wide variety of GenAI options, such as AI Lake, an AI assistant, website search, etc. The versatile platform also has extensive observability and analytical abilities that help data-led decision-making.

Pros

• Scalable and can handle enterprise databases that have large volumes of information 

• A unified and time-saving search experience that combines diverse data sources 

• Very accurate search results

Cons

• A high learning curve

• Non-tech-savvy sales reps may need more time to understand configuration and technical methodologies within the tool

11. Lucidworks Fusion

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Lucidworks Fusion AI is a powerful enterprise search tool fine-tuned by the best LLMs.

It helps sales teams and managers on the lookout to capture exceptional search intent and differentiate lead quality. The tool lets you integrate with any LLM of your choice and capture accurate search intent. 

Pros

• Highly secure data extraction from LLMs 

• Seamlessly incorporate advanced GenAI technologies by integrating with any LLM and explore AI capabilities for sales, such as competitor analysis, search analytics, content gap analysis, and more

Cons

• Steep pricing and learning curve

• Lack of a free version

Wrapping up

The best sales functionality you must look for in a GenAI LLM is easy access to the most up-to-date and accurate information. 

While Glean still works, a common complaint is its inability to comb through results for more complex queries. 

Amongst these Glean alternatives, Docket AI is a standout and a perfect sales fit with its advanced AI and automation potential. 

Book a demo today!