Best Insight Engines Software

How Many Insight Engines Software Products Does G2 Track?

Total Products under this Category: 82

Category Stats (Oct 2026)

  • Average Rating: 4.45/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Elastic Observability (+0.82%) - Among all products in this category, Elastic Observability recorded the largest rating increase compared to last month

Last updated: October 06, 2026

How Does G2 Rank Insight Engines Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 4,700+ Authentic Reviews
  • 82+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Insight Engines Software

G2 Grid® for Insight Engines Software plotting products by satisfaction and market presence

Highlighted products: Elasticsearch, Guru, HeyMarvin, IBM Storage Insights, Bloomfire, Market Logic, Rippit, and Experience.com.

Underlying data: [Grid® JSON](https://www.g2.com/categories/insight-engines/grids.json?focus%5B%5D=elastic-elasticsearch&focus%5B%5D=guru&focus%5B%5D=heymarvin&focus%5B%5D=ibm-storage-insights&focus%5B%5D=bloomfire&focus%5B%5D=market-logic&focus%5B%5D=rippit&focus%5B%5D=experience-com)

Elasticsearch

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community. Elastic’s platform lets you ingest any data source, build modern search experiences that integrate with large language models and generative AI, and visualize analytics for data-driven decision-making and insights. Our consistent investments in machine learning help developers stay ahead of the curve with the fast, highly relevant search, at scale. -- Flexible platform and toolkit to deliver powerful search functionality regardless of development resources and technology objectives. Our open platform delivers consistent functionality for cloud, hybrid, or on-prem deployments with exceptional performance, reliability, and scalability. -- Built-in search analytics and visualization tools give teams access to search data and real-time dashboards for optimizing search results and operations. Non-tech teams can tune search experiences too–no development team needed. -- Next level search relevance using textual search, vector search, hybrid, and semantic search and machine learning model flexibility. Powerful capabilities like a vector database provide the foundation for creating, storing, and searching embeddings to capture the context of your unstructured data. Use machine-learning enabled inference at data ingestion, and bring your own model - open or proprietary - to deliver the best, industry-specific results.

Average Rating: 4.5/5.0

Total Reviews: 306

How Do G2 Users Rate Elasticsearch?

  • Data Centralization - Insight Engines: 10.0/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 10.0/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 10.0/10 (Category avg: 9.1/10)
  • Ease of Use: 8.5/10 (Category avg: 9.0/10)

Who Is the Company Behind Elasticsearch?

  • Seller: Elastic
  • Company Website:
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @elastic
    65,200 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 37% Medium, 33% Large

What Do G2 Reviewers Say About Elasticsearch?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Elasticsearch, making integration and application monitoring seamless and efficient.
  • Users commend the impressive speed of Elasticsearch, allowing efficient handling of large datasets and quick queries.
  • Users love the fast search capabilities of Elasticsearch, allowing for efficient troubleshooting and real-time analytics.
  • Users appreciate the blazing fast performance of Elasticsearch, enhancing their search experiences significantly.
  • Users value Elasticsearch for its powerful search and aggregation capabilities, enhancing performance and workflow efficiency immensely.
Cons
  • Users find Elasticsearch expensive to scale, especially with high data volumes and necessary commercial licenses.
  • Users find Elasticsearch's required expertise challenging, citing complexity and resource-intensive setup as significant hurdles.
  • Users find the learning difficulty of Elasticsearch overwhelming, especially for beginners navigating its complexity and configuration.
  • Users find Elasticsearch's interface to be not user-friendly, complicating search functionality and requiring extensive tuning for performance.
  • Users find difficult learning with Elasticsearch due to its complex configuration and confusing documentation, especially for beginners.

What Are Recent G2 Reviews of Elasticsearch?

Guru

Guru is the AI Source of Truth for your company—an AI knowledge platform that connects everything your teams know, makes it accessible everywhere you work, and keeps it accurate automatically. Guru unifies your company’s apps, chats, and docs into one governed knowledge layer, delivering cited, permission-aware answers, chat, and research across Slack, Teams, your browser, or even other AIs like ChatGPT and Claude. Every answer is grounded in verified knowledge, with built-in verification and lineage to ensure trust, compliance, and confidence at scale. Connect your knowledge. Access it everywhere. Build trust—automatically.

Average Rating: 4.7/5.0

Total Reviews: 2,261

How Do G2 Users Rate Guru?

  • Data Centralization - Insight Engines: 9.6/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 9.5/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 9.5/10 (Category avg: 9.1/10)
  • Ease of Use: 9.3/10 (Category avg: 9.0/10)

Who Is the Company Behind Guru?

  • Seller: Guru
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Philadelphia, PA
  • Twitter: @Guru_HQ
    4,242 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,705 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Customer Service Representative, Customer Success Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Medium, 29% Large

What Do G2 Reviewers Say About Guru?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of Guru, finding it simple to get answers through AI and keywords.
  • Users value Guru's quick, reliable answers and seamless integration into workflows, enhancing productivity and reducing confusion.
  • Users value the comprehensive information offered by Guru, enhancing knowledge management and team efficiency.
  • Users appreciate the easy access provided by Guru, seamlessly integrating into daily workflows without disrupting tasks.
  • Users value Guru for its accurate and reliable information that enhances workflow efficiency during live interactions.
Cons
  • Users experience search functionality issues with Guru, including slow results and ineffective keyword recognition.
  • Users experience inefficient search when managing extensive content, making it challenging to find relevant information quickly.
  • Users experience search functionality issues, with slow results and ineffective keyword recognition affecting their efficiency.
  • Users find the inefficient searching in Guru frustrating, as it often results in generic answers for technical queries.
  • Users often face organizational challenges with Guru, especially in managing large collections and slow search results.

What Are Recent G2 Reviews of Guru?

What Are G2 Users Discussing About Guru?

HeyMarvin

HeyMarvin is the #1 AI-native customer insights platform. Teams use HeyMarvin to turn scattered customer knowledge into shared understanding the whole company can act on. Most companies are sitting on years of valuable user research, brand studies, market data, and customer feedback buried in folders, decks, and disconnected tools. HeyMarvin turns all of it into a searchable, intelligent knowledge repository that grows smarter over time. With 30+ native integrations continuously pulling in data, anyone across the organization can search, ask questions, and get cited answers instantly. Need to run research? HeyMarvin lets small teams deliver like a team 10 times their size. Run hundreds of AI-moderated interviews simultaneously, capture live conversations with automatic transcription, and analyze thousands of data points without losing the nuance that makes qualitative research worth doing. Every answer cites back to real customer data, and researchers stay in control of every interpretation. When insights are ready, they surface in the tools where teams already work: Slack, Figma, Salesforce, and more. Share video clips, highlight reels, and direct customer quotes so every decision is grounded in real customer voices. Research stops living in decks and starts building the kind of customer empathy that shapes better products, sharper messaging, and smarter strategy. Enterprise-ready from day one. HeyMarvin is SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certified, with automatic PII redaction, face blur, and role-based access controls built for regulated industries. Trusted by teams at Microsoft, Included Health, Best Buy, and NRG Energy, and backed by leading AI investors including Sam Altman and Fuel Capital. Ready to put your customer knowledge to work? Learn more at HeyMarvin.com.

Average Rating: 4.8/5.0

Total Reviews: 126

How Do G2 Users Rate HeyMarvin?

  • Data Centralization - Insight Engines: 8.9/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 8.8/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 8.9/10 (Category avg: 9.1/10)
  • Ease of Use: 8.6/10 (Category avg: 9.0/10)

Who Is the Company Behind HeyMarvin?

  • Seller: HeyMarvin
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Oakland, CA
  • Twitter: @HeyMarvinApp
    339 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    102 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: UX Researcher, Senior UX Researcher
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 49% Medium, 30% Small

What Do G2 Reviewers Say About HeyMarvin?

AI-generated summary from verified user reviews

Pros
  • Users find HeyMarvin's ease of use exceptional, streamlining workflows and enhancing efficiency in data management.
  • Users appreciate the efficiency and user-friendliness of HeyMarvin, making data analysis and insights easily accessible.
  • Users love the AI-generated insights from simple data analysis, enhancing qualitative research efficiency and decision-making.
  • Users praise the exceptional transcription capabilities of HeyMarvin, significantly speeding up research synthesis and collaboration.
  • Users find analytics efficiency in HeyMarvin invaluable, enabling quick insights and comparisons from interviews and focus groups.
Cons
  • Users find the AI accuracy lacking at 75-80%, with room for improvement compared to other platforms.
  • Users find HeyMarvin not user-friendly, citing confusion with the interface and difficulties in customization.
  • Users experience poor transcription accuracy, resulting in challenges with speaker identification and language nuances.
  • Users experience a difficult learning curve with HeyMarvin, requiring time and effort to understand its complex interface.
  • Users find HeyMarvin expensive, particularly for larger teams and small businesses with limited cash flow.

What Are Recent G2 Reviews of HeyMarvin?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works

IBM Storage Insights

IBM Storage Insights provides an unparalleled level of visibility across your storage environment to help you manage complex storage infrastructures and make cost-saving decisions. It combines proven IBM data management leadership with proprietary analytics from IBM Research.

Average Rating: 4.3/5.0

Total Reviews: 29

How Do G2 Users Rate IBM Storage Insights?

  • Data Centralization - Insight Engines: 7.7/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 7.9/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 7.5/10 (Category avg: 9.1/10)
  • Ease of Use: 8.1/10 (Category avg: 9.0/10)

Who Is the Company Behind IBM Storage Insights?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 103% Large, 34% Small

What Are Recent G2 Reviews of IBM Storage Insights?

What Are G2 Users Discussing About IBM Storage Insights?

FAQs About Insight Engines Software

Generated using AI

Last updated: June 3, 2026

Top Insight Engines solutions for Data Analysts looking to uncover actionable insights from complex datasets

Based on G2 reviews, these products are most often associated with fast search, centralized knowledge, and insight discovery.

  • Guru — centralized knowledge and quick answers.
  • Elasticsearch — large-scale search and analytics workflows.
  • HeyMarvin — synthesize research themes and evidence.
  • Dovetail — organize interviews and extract insights.

Which Insight Engines platforms support quick Data Analyst adoption without months of training

Based on G2 reviews, these products are repeatedly described as intuitive, easy to adopt, and useful quickly.

  • Guru — browser-based answers with low friction.
  • HeyMarvin — quick setup for research analysis.
  • Bloomfire — simple search and repository access.
  • AddSearch — easy implementation for site search.

Insight Engines software with strong data discovery and seamless system integration capabilities

According to verified users, strong insight engines combine broad search coverage with integrations that reduce context switching. In recent reviews, buyers highlight products that connect with tools such as Slack, Teams, browsers, Google environments, Zoom, Intercom, cloud platforms, and internal repositories. Reviewers consistently value being able to pull documents, conversations, logs, recordings, and research artifacts into one searchable experience. They also mention that seamless integrations matter most when they speed up onboarding, surface trusted information inside daily workflows, and make it easier to reuse knowledge instead of hunting across disconnected systems. The strongest recurring theme is faster access to relevant answers without moving between apps.

What should buyers look for in insight engines

According to verified users, buyers evaluating insight engines should focus on search relevance, speed, and how well the platform centralizes scattered information. Recent reviews repeatedly mention AI-assisted summaries, strong indexing, transcript or document analysis, integrations with daily work tools, and workflows that keep content current through verification or governance. Buyers also care about how easily teams can adopt the system, especially when onboarding new users or scaling across departments. Common cautions include setup complexity, weak organization at scale, and occasional search inaccuracy when content is poorly structured. In practice, reviewers value tools that help them find trusted answers quickly, reduce repeated questions, and turn large volumes of information into usable insights.

What features define modern insight engines

According to verified users, modern insight engines are defined by fast search, AI-assisted summarization, and the ability to connect many content sources in one place. Across recent reviews, users repeatedly mention semantic or context-aware search, transcript and note analysis, tagging or organization tools, dashboards or reporting, and integrations that bring answers into existing workflows. Many also value features that improve trust, such as content verification, citations, shareable insights, and support for maintaining a centralized source of truth. For teams working with research, documents, logs, or internal knowledge, the most useful features are the ones that reduce manual digging, highlight patterns faster, and make information easier to reuse across projects and departments.

Bloomfire

Bloomfire is the leading AI-driven Enterprise Intelligence and Knowledge Management solution. The platform connects employees with the right information, exactly when, and where it's needed, empowering users to access, manage, and collaborate on knowledge efficiently and effectively. Bloomfire’s AI-powered search and content authoring transform how teams interact with data and ensure that organizational assets and critical information are easily accessible and actionable. Bloomfire supports enterprise companies in scaling their knowledge management programs across teams, departments, and org-wide deployments and serves businesses across all industries – including healthcare, finance, government, manufacturing, and retail. With a focus on operational excellence, Bloomfire is an established, trusted partner to Fortune 500 companies and other industry leaders. The AI-driven platform delivers nearly 2 million answers each month, emphasizing its value and credibility. Key functionality includes: · AI-Powered Enterprise Search: Get direct, trusted answers from Ask AI and find relevant documents and articles across all your integrated platforms with intuitive search. ·AI-Powered Authoring Tools: Advanced authoring tools streamline knowledge creation and ensure your content fits the unique needs of your business. Use generative AI to create and refine insights from your original work, ensuring all published information is high quality and optimized for search. · Scalable Architecture & Award-Winning Implementation: With flexible structure and navigation components like communities, groups, and boards, Bloomfire is designed to grow with your organization, offering a seamless integration and implementation process.

Average Rating: 4.6/5.0

Total Reviews: 502

How Do G2 Users Rate Bloomfire?

  • Data Centralization - Insight Engines: 9.8/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 9.0/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 9.8/10 (Category avg: 9.1/10)
  • Ease of Use: 9.1/10 (Category avg: 9.0/10)

Who Is the Company Behind Bloomfire?

  • Seller: Bloomfire
  • Company Website:
  • Year Founded: 2010
  • HQ Location: Austin, TX
  • Twitter: @Bloomfire
    6,350 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    84 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Account Manager, Project Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 52% Medium, 30% Large

What Do G2 Reviewers Say About Bloomfire?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Bloomfire, enjoying intuitive interfaces and efficient knowledge sharing across teams.
  • Users love the AI-powered search functionality in Bloomfire, making information access quick, accurate, and effortless.
  • Users love the easy access to information and intuitive interface of Bloomfire, enhancing their daily productivity.
  • Users value the efficient search functionality of Bloomfire, enabling easy access to relevant information for effective collaboration.
  • Users love the AI-powered search in Bloomfire, making knowledge access fast and effective across departments.
Cons
  • Users often face inefficient search, leading to disappointment as it hinders their overall experience with Bloomfire.
  • Users experience inefficient search functionality, often feeling frustrated by inaccurate results that hinder their ability to find insights.
  • Users desire more customization options in Bloomfire, particularly for search filters and branding flexibility.
  • Users find the limited reporting capabilities of Bloomfire restrictive, often requiring external tools for deeper insights.
  • Users experience search limitations with Bloomfire, wishing for more accuracy and direct answers to specific inquiries.

What Are Recent G2 Reviews of Bloomfire?

What Are G2 Users Discussing About Bloomfire?

Market Logic

DeepSights by Market Logic Software is an enterprise AI-powered market intelligence and consumer insights platform that transforms organizational knowledge into trusted intelligence that supports faster, more confident business decisions. It provides a single source of truth for market and consumer insights, enabling organizations to connect data, reduce duplication of research, and make decisions with clarity. Purpose-built AI, always-on agents, and deep integrations help insights, marketing, product, and innovation teams continuously surface what matters, anticipate market change, and act with confidence. More than 100 of the world's leading brands - including Mars, Novartis, eBay, Colgate-Palmolive, Philips, Tesco, Vodafone, and REWE - rely on DeepSights, with over 100,000 business users globally. The platform represents a shift from passive insights management to active intelligence — continuously generated, AI-powered market and consumer insights delivered in real time. Rather than relying on static reports, DeepSights connects data, detects signals, and surfaces relevant insights to support proactive, evidence-based decision-making across teams. DeepSights brings together five connected solutions on a shared foundation for trusted, scalable intelligence, powered by agentic AI. DeepSights Explore enables instant search and discovery of trusted insights across internal research, syndicated sources, and news. DeepSights Radar continuously monitors markets and competitors to detect emerging developments and early warning signals, powering continuous market and competitive intelligence. DeepSights Personas enables teams to test ideas at scale with AI-powered personas and synthetic research, including AI-moderated interviews and synthetic panels built from a company’s own data. DeepSights Innovate identifies whitespace opportunities and accelerates concept development with AI agents. DeepSights Research manages the full research lifecycle while ensuring transparency, compliance, and knowledge reuse. Together, these capabilities form a unified platform for market intelligence, competitive intelligence, and insights management. Unlike generic AI tools, DeepSights is purpose-built for market research, competitive intelligence, and insights workflows, with agentic AI for insights at its core. The platform evaluates relevance, authority, and recency to ground every answer in trusted data and reduce hallucination risk. AI agents work alongside human experts to continuously discover, analyze, and surface intelligence — delivering accurate, source-grounded answers at the speed insights teams need to operate at scale. Market Logic Software has been named a Visionary in the 2026 Gartner® Magic Quadrant™ for Competitive and Market Intelligence Platforms, included in The Forrester Market and Competitive Intelligence Platforms Landscape, Q1 2026, and recognized in G2’s 2026 Top 50 German Software Companies. DeepSights is a G2 Leader in Enterprise Market Intelligence and Enterprise Knowledge Base categories. A 2025 Forrester Total Economic Impact™ study found DeepSights delivered a 411% return on investment over three years, highlighting reduced research costs, faster time to insights, and a stronger strategic role for insights in business decision-making. DeepSights is enterprise-grade and built for security and compliance. The platform is ISO/IEC 27001 certified, aligned with GDPR and the EU AI Act, and does not use customer data to train external AI models. With SSO, granular access control, and flexible deployment options, organizations retain full control over how insights are accessed, shared, and governed. Trusted by global enterprises across consumer goods, healthcare, retail, and financial services, DeepSights enables organizations to move from fragmented data to a connected, always-on system for market and consumer intelligence.

Average Rating: 4.3/5.0

Total Reviews: 47

How Do G2 Users Rate Market Logic?

  • Data Centralization - Insight Engines: 8.2/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 8.5/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 6.5/10 (Category avg: 9.1/10)
  • Ease of Use: 8.2/10 (Category avg: 9.0/10)

Who Is the Company Behind Market Logic?

  • Seller: Market Logic Software
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Berlin, Germany
  • Twitter: @market_logic
    588 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    167 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Consumer Goods
  • Company Size: 81% Large, 11% Medium

What Do G2 Reviewers Say About Market Logic?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Market Logic, enabling quick access to insights and straightforward information sharing.
  • Users commend Market Logic for its democratization of insights, enhancing access and collaboration across the organization.
  • Users appreciate the excellent customer support from Market Logic, providing quick assistance and friendly service consistently.
  • Users find Market Logic incredibly time-saving, empowering teams to easily access insights and encouraging self-service.
  • Users love the knowledge zones in Market Logic, appreciating their customizable options and user-friendly experience.
Cons
  • Users experience search functionality issues, often struggling to find reports quickly and efficiently within Market Logic.
  • Users face search limitations in Market Logic, as the function often lacks accuracy and efficiency when retrieving reports.
  • Users experience inefficiency during the document upload process, leading to frustration with tagging and image handling.
  • Users report that the slow performance of Market Logic hampers efficient information retrieval and overall productivity.
  • Users experience difficult navigation, complicating report searches and making it hard to return to previous pages.

What Are Recent G2 Reviews of Market Logic?

What Are G2 Users Discussing About Market Logic?

Rippit

Launch Agent Apps on Your Customer Conversations Rippit connects to your support, chat, and voice platforms to pull in all of your customer conversations and analyze 100% of them—not a sample or summary. Ask questions in plain English, and Rippit reads every relevant conversation to provide answers backed by your customers' own words. For example: "Why did CSAT drop in chat last week?" "What percentage of our tickets are avoidable, and what's causing them?" "Which accounts are showing frustration or comparing us to competitors?" Rippit also lets you deploy AI agents on your conversation data. Describe a complex task in plain English, and the agent runs it autonomously on an ongoing basis—flagging churn risk before renewal, tagging every conversation against your taxonomy, tracking the product gaps driving preventable volume, and reporting on them weekly. Key Features One-click integrations with the tools where your conversations already live. Generous free tier with no credit card required to try. Every conversation analyzed in full—100% of your data. Ask any question in plain English and get answers backed by verbatim customer quotes. Deploy AI agents in plain English to perform complex, long-running autonomous tasks on your conversations. Automatically surface themes, root causes, and churn signals as new conversations come in. Use Rippit directly inside Claude, ChatGPT, and other LLMs. Connect MCP servers to bring help articles and other context into your analysis. This should render much more cleanly in that G2 field because it relies only on paragraph breaks, rather than bullet formatting that G2 may strip or mangle.

Average Rating: 4.6/5.0

Total Reviews: 24

How Do G2 Users Rate Rippit?

  • Data Centralization - Insight Engines: 10.0/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 8.0/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 9.6/10 (Category avg: 9.1/10)
  • Ease of Use: 8.3/10 (Category avg: 9.0/10)

Who Is the Company Behind Rippit?

  • Seller: Rippit
  • Company Website:
  • Year Founded: 2026
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    56 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services
  • Company Size: 83% Medium, 8% Large

What Are Recent G2 Reviews of Rippit?

Experience.com

Experience.com is an Experience Management Platform that helps organizations turn customer and employee feedback into stronger experiences, greater trust, and greater visibility. Experience.com connects Customer Experience (CX), Employee Experience (EX), reputation, online visibility, and AI Visibility in one platform. Organizations can collect and analyze feedback, manage reviews and reputation, publish content and social updates, maintain accurate business information, and strengthen how their brand appears across search and AI-powered discovery. For multi-location organizations and enterprises, the Experience Management Platform (XMP) provides centralized experience management, reputation, campaigns, analytics, governance, and visibility across locations and teams. For professionals and individual locations, the Search Rank Platform (SRP) helps build a stronger digital presence through reviews, business information, content, engagement, and other search signals. As customer discovery increasingly moves beyond traditional search, Experience.com also helps organizations build AI Visibility. AI-powered tools help businesses create authoritative content, demonstrate expertise, maintain accurate digital information, and strengthen the signals that AI systems use to understand, trust, and surface a business. Rather than managing feedback, reviews, search presence, and reputation through disconnected point solutions, Experience.com brings these capabilities together. The platform helps organizations connect the experience they create with the reputation they earn and the visibility they gain. Experience.com helps organizations capture feedback, understand what it means, build trust, and get found where customers are looking.

Average Rating: 4.8/5.0

Total Reviews: 403

How Do G2 Users Rate Experience.com?

  • Data Centralization - Insight Engines: 9.2/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 9.2/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 9.2/10 (Category avg: 9.1/10)
  • Ease of Use: 9.3/10 (Category avg: 9.0/10)

Who Is the Company Behind Experience.com?

  • Seller: Experience.com
  • Company Website:
  • Year Founded: 2015
  • HQ Location: San Ramon, California
  • LinkedIn® Page: www.linkedin.com
    273 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Branch Manager, Loan Officer
  • Top Industries: Financial Services, Real Estate
  • Company Size: 39% Medium, 33% Small

What Do G2 Reviewers Say About Experience.com?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use with Experience.com, enjoying seamless setup and accessible, user-friendly features.
  • Users highly value the exceptional customer support from Experience.com, ensuring timely and professional assistance whenever needed.
  • Users appreciate the easy-to-use interface of Experience.com, enhancing their ability to manage and analyze customer reviews.
  • Users appreciate the seamless review management of Experience.com, enhancing client engagement and operational efficiency effortlessly.
  • Users value the real customer experiences on Experience.com, enhancing marketing strategies and building confidence in their business.
Cons
  • Users find linking issues burdensome, preferring direct posting on other review sites for convenience.
  • Users often face connection issues with Experience.com, finding account linking and reconnections cumbersome.
  • Users experience integration issues with Experience.com, especially regarding social media linking and options for loan officers.
  • Users find the social media integration confusing and are frustrated by the need for a business account.
  • Users face improvement needs with Experience.com, citing connection issues, excessive review prompts, and outdated survey questions.

What Are Recent G2 Reviews of Experience.com?

What Are G2 Users Discussing About Experience.com?

Dovetail

It’s never been easier to build a product or service. The barriers to entry (ideas, talent, and tooling) are quickly becoming commoditized by AI. The faster your teams align behind and solve the most critical customer problems, the more revenue and market share you unlock. The only way to win is to identify what customers need and deliver it before the competition. But this is difficult to do. Data is scattered across teams and tools using various methods and it is difficult to understand, and align on, at speed. Even in the world of AI, the unique challenges associated with gathering, analyzing, and understanding complex customer feedback lead to teams wasting millions of dollars in failed products, slower development cycles, and duplicated efforts. As a result, they are continually risking decreases in customer satisfaction, and ultimately revenue. Dovetail provides always-on customer understanding. Our AI-native customer intelligence platform automatically turn sales calls, user feedback, support tickets, and voice of customer data into actionable insights that grow your business. Dovetail integrates with dozens of tools like Gong, Intercom, Zoom, Salesforce, Slack, Teams, and Google Play to analyze video, audio, documents, and text. Auto-generate reports and requirements documents; configure dashboards to visualize trends; and set up agents to ensure insights are acted on. Enable your team to track feature requests, identify pain points, reduce churn, and increase customer satisfaction through high-quality, accurate, and real-time customer intelligence that’s accessible to everyone. Deploy the industry-standard, enterprise-grade system of record for all of your customer intelligence. Put your customer first and grow your business. We’re for teams who care about solving real customer problems. Join the likes of Meta, Volvo, AWS, Dyson, Deloitte, and thousands more as they put their customer first with Dovetail.

Average Rating: 4.5/5.0

Total Reviews: 168

How Do G2 Users Rate Dovetail?

  • Data Centralization - Insight Engines: 8.0/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 8.1/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 8.1/10 (Category avg: 9.1/10)
  • Ease of Use: 8.5/10 (Category avg: 9.0/10)

Who Is the Company Behind Dovetail?

  • Seller: Dovetail Research Pty. Ltd.
  • Company Website:
  • Year Founded: 2017
  • HQ Location: Sydney, Australia
  • Twitter: @hidovetail
    2,183 Twitter followers
  • LinkedIn® Page: au.linkedin.com
    167 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Product Designer, Senior UX Researcher
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 45% Medium, 27% Small

What Do G2 Reviewers Say About Dovetail?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use with Dovetail, enjoying its intuitive features and effective research organization capabilities.
  • Users appreciate the impressive AI features of Dovetail, which streamline research synthesis and enhance data interaction.
  • Users find Dovetail's data reusability invaluable, enabling quick access to insights and enhancing research efficiency.
  • Users value Dovetail's data reusability, as it streamlines research processes and enhances access to customer insights.
  • Users value the intuitive interface and powerful features of Dovetail, which enhance research efficiency and collaboration.
Cons
  • Users find Dovetail lacking in advanced features, including AI tools, tagging accuracy, and reporting options.
  • Users are frustrated by limited prioritization of insights and complex tagging, hindering effective information retrieval in Dovetail.
  • Users find the inefficient tagging system frustrating, complicating the organization and retrieval of valuable insights.
  • Users find the complexity of Dovetail overwhelming, especially regarding setup, tagging, and managing data across projects.
  • Users are frustrated by feature limitations, feeling that essential tools were removed while new ones failed to meet needs.

What Are Recent G2 Reviews of Dovetail?

Elastic Observability

OpenTelemetry-native observability for fast, AI-driven root cause analysis Search, analyze, and act with logs, metrics, and traces. SRE leaders aim to proactively prevent downtime, simplify tool stacks, and reduce toil, but multi-cloud complexity and fragmented toolsets create visibility gaps that make it hard to stay ahead. OTel-native and AI-powered, Elastic Observability ingests and correlates petabytes of telemetry across your applications, services, and infrastructure, in real-time. Accelerate troubleshooting with built-in agentic workflows and an AI Assistant that goes well beyond chat to bolster team expertise and guide investigations, grounded with context from your organizational knowledge-bases. More data, more problems? Not anymore. Most observability and logging solutions weren’t built for today’s scale. Elastic is. Our architecture is designed to handle petabytes of logs with indexing, compression, and efficient searchable storage so you can keep all the telemetry you need, without breaking the bank. Store more, spend less, and resolve issues faster with a scalable, open, and extensible platform that unifies visibility across your entire environment.

Average Rating: 4.3/5.0

Total Reviews: 119

How Do G2 Users Rate Elastic Observability?

  • Data Centralization - Insight Engines: 8.3/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 7.5/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 9.2/10 (Category avg: 9.1/10)
  • Ease of Use: 7.7/10 (Category avg: 9.0/10)

Who Is the Company Behind Elastic Observability?

  • Seller: Elastic
  • Company Website:
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @elastic
    65,200 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 45% Large

What Do G2 Reviewers Say About Elastic Observability?

AI-generated summary from verified user reviews

Pros
  • Users find Elastic Observability to be intuitively easy to use, facilitating effortless integration and quick setup for various needs.
  • Users value the real-time alerting capabilities of Elastic Observability, enhancing proactive monitoring and issue resolution.
  • Users value the excellent log collection and monitoring capabilities of Elastic Observability for efficient server management.
  • Users appreciate the excellent monitoring capabilities of Elastic Observability for comprehensive insights into their applications and infrastructure.
  • Users value the flexibility and unified view of Elastic Observability, enhancing troubleshooting and operational visibility.
Cons
  • Users face a steep learning curve with Elastic Observability, requiring extensive knowledge and training for effective use.
  • Users find the difficult learning curve for Elastic Observability challenging, particularly for teams unfamiliar with the Elastic Stack.
  • Users struggle with the lack of log integration and find log generation with APM challenging without ELK knowledge.
  • Users find the learning difficulty frustrating, particularly due to overwhelming logs and advanced feature navigation.
  • Users struggle with log management issues, from hardware corruption to lack of integration with existing log files.

What Are Recent G2 Reviews of Elastic Observability?

What Are G2 Users Discussing About Elastic Observability?

Coveo

Coveo is the AI-Relevance platform behind intelligent search, recommendations, personalization, conversational experiences, and agentic AI. Coveo connects enterprise content across systems and uses AI to deliver the most relevant answers, information, and products for every user and context. Leading organizations use Coveo to improve self-service, drive revenue, boost productivity, and power trusted AI experiences across commerce, service, websites, and the workplace.

Average Rating: 4.3/5.0

Total Reviews: 142

How Do G2 Users Rate Coveo?

  • Data Centralization - Insight Engines: 9.2/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 8.3/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 8.8/10 (Category avg: 9.1/10)
  • Ease of Use: 8.0/10 (Category avg: 9.0/10)

Who Is the Company Behind Coveo?

  • Seller: Coveo Solutions Inc
  • Company Website:
  • Year Founded: 2005
  • HQ Location: Quebec City, Canada
  • Twitter: @coveo
    4,300 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    828 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail, Computer Software
  • Company Size: 54% Large, 39% Medium

What Do G2 Reviewers Say About Coveo?

AI-generated summary from verified user reviews

Pros
  • Users value the search efficiency of Coveo, enjoying seamless access to diverse content across multiple sources.
  • Users appreciate the ease of use of Coveo, finding it straightforward and well-supported for complex search needs.
  • Users praise Coveo's robust search functionality, enhancing relevancy and ease of access across diverse content sources.
  • Users appreciate the extensive analytics capabilities of Coveo, enhancing insights and relevancy in search results.
  • Users appreciate the robust feature set of Coveo, enhancing content management and search relevancy across various platforms.
Cons
  • Users find the learning curve for Coveo steep, complicating the setup and customization process for newcomers.
  • Users often find the difficult learning curve in Coveo hinders effective use of its features and customization.
  • Users find the learning difficulty of Coveo challenging, particularly for first-time setup and customization efforts.
  • Users report a high learning curve with Coveo, making setup and customization challenging for newcomers.
  • Users express concerns about poor customer support, citing slow responses and a focus on billing over customer success.

What Are Recent G2 Reviews of Coveo?

What Are G2 Users Discussing About Coveo?

Condens

Condens is a user research repository and analysis platform that helps teams centralize, analyze, and share customer insights in one secure, easy-to-use space. Designed for UX researchers, designers, and product managers, Condens simplifies storing and analyzing research data from interviews, usability tests, surveys, and other feedback sources. It turns raw data into actionable insights, empowering organizations to make informed, customer-driven decisions. Condens helps organizations of all sizes solve the challenge of turning scattered research into meaningful insights. The platform acts as a centralized hub for customer knowledge, making it easier for every team to access, understand, and share insights across departments. This approach fosters an insights-driven culture where research actively informs product development, UX design, marketing strategies, and customer support. Its user-friendly interface, combined with AI-powered features, simplifies research processes for all team members, regardless of technical expertise. Condens supports both traditional analysis methods like line-by-line coding and theme development, as well as faster, AI-assisted workflows. With tools to summarize, group, and search information in seconds just by asking questions in plain language, as well as features like automatic summaries, synthesis tools, and pattern detection, AI helps reduce manual work without removing users from the process. These features help teams quickly identify trends and insights, enhancing research efficiency. All AI output is based on user prompts, fully editable, and always connected to its source data, so insights remain trustworthy and grounded in evidence. Sharing insights is simple and impactful with Condens. The tool offers customizable reports and whiteboards, video clips and highlight reels, which help to effectively communicate insights to stakeholders. A standout feature is the Insights Magazine; a personalized, self-serve portal where stakeholders can explore published research, revisit insights at any time, and remain connected to customer feedback without needing to request access. Integration with Slack and Microsoft Teams further enhances usability, enabling team members to surface validated insights directly within their existing tools just by asking AI natural-language questions. Security and scalability are at the core of Condens. The platform offers GDPR-compliant hosting in the EU or US, advanced access controls, and privacy tools such as data anonymization and redaction. These features allow organizations to protect sensitive research data while scaling user research across teams. With real-time collaboration features and unlimited viewer seats, Condens facilitates company-wide alignment and informed decision-making. Trusted by companies like Siemens, Accenture, Bank of Montreal, and Cisco, Condens effectively transforms fragmented research into a unified source of truth, maximizing the impact of user research efforts and its business value.

Average Rating: 4.8/5.0

Total Reviews: 103

How Do G2 Users Rate Condens?

  • Data Centralization - Insight Engines: 8.3/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 8.9/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 8.7/10 (Category avg: 9.1/10)
  • Ease of Use: 9.0/10 (Category avg: 9.0/10)

Who Is the Company Behind Condens?

Who Uses This Product?

  • Who Uses This: UX Researcher, UX researcher
  • Top Industries: Higher Education, Computer Software
  • Company Size: 47% Small, 31% Medium

What Do G2 Reviewers Say About Condens?

AI-generated summary from verified user reviews

Pros
  • Users value the automatic transcription and intuitive features of Condens, enhancing their research and collaboration experience.
  • Users value the affordable and comprehensive features of Condens, enhancing efficiency in UX research and collaboration.
  • Users find Condens to have a user-friendly interface and outstanding features that simplify their workflow.
  • Users praise the responsive customer support of Condens, noting its efficiency and proactive assistance with issues.
  • Users praise the intuitive and clear user interface of Condens, enabling a smooth and efficient experience.
Cons
  • Users report poor transcription accuracy, frequently encountering errors in company names and require substantial corrections for Dutch transcripts.
  • Users find the interface design limiting, affecting workflow, though support for improvements is appreciated.
  • Users find the inefficient tagging system in Condens complicates organization and slows down their workflow.
  • Users find the difficult learning curve challenging, especially when trying to maximize the platform's features effectively.
  • Users find the limited free access frustrating, wishing for more features and longer transcription minutes.

What Are Recent G2 Reviews of Condens?

What Are G2 Users Discussing About Condens?

Stravito

Stravito is the AI Enterprise Consumer Insights Platform global leaders like Nestlé and Comcast trust to turn existing knowledge into confident, growth-driving decisions. Built for insights, marketing, and research teams, Stravito unifies knowledge in one secure space and pairs best-in-class AI with human expertise. Whether you’re deciding where to expand next, which innovation to pursue, or what message will resonate most with your customers, teams simply ask strategic questions, and Stravito AI Assistant delivers relevant, source-cited insights in seconds. AI Personas, powered by your brand’s segmentation studies, simulate real consumer perspectives so you can stress-test ideas in real-time. The outcome: faster, evidence-backed, commercially-impactful decisions.

Average Rating: 4.7/5.0

Total Reviews: 15

How Do G2 Users Rate Stravito?

  • Data Centralization - Insight Engines: 9.8/10 (Category avg: 9.1/10)
  • Search Interface - Insight Engines: 8.9/10 (Category avg: 9.0/10)
  • Search Analysis - Insight Engines: 8.6/10 (Category avg: 9.1/10)
  • Ease of Use: 9.5/10 (Category avg: 9.0/10)

Who Is the Company Behind Stravito?

  • Seller: Stravito
  • Year Founded: 2017
  • HQ Location: Stockholm, Stockholm County
  • Twitter: @stravito
    2 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    118 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Large, 38% Medium

What Are Recent G2 Reviews of Stravito?

What Are G2 Users Discussing About Stravito?

Decode

Decode is an integrated Human Insights AI Platform that replaces fragmented research stacks with a single, comprehensive solution. By unifying consumer research, user experience testing, predictive creative analytics, and insights management with Emotion AI, Behavior AI and Generative AI, Decode delivers faster, more actionable insights across the entire customer journey. Complete Research Suite: - Consumer Insights: AI-powered surveys, qualitative research, diary studies, shopper behavior analysis, and social media research that decode emotions and predict behaviors. - User Experience Research: Remote user testing, journey mapping, wireframe validation, prototype testing, and live website optimization. - Predictive Creative Analytics: Real-time eye-gaze tracking, attention measurement, and creative optimization powered by advanced Neuro AI. - Insights Intelligence Hub: Centralized AI Copilot that automatically analyzes calls, meetings, documents, and research data to surface connected insights across all touchpoints.

Average Rating: 4.5/5.0

Total Reviews: 47

How Do G2 Users Rate Decode?

  • Ease of Use: 8.7/10 (Category avg: 9.0/10)

Who Is the Company Behind Decode?

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 42% Large, 40% Medium

What Do G2 Reviewers Say About Decode?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Decode, enabling seamless navigation and effortless task management.
  • Users praise the AI-powered Decode Copilot for its seamless data analysis and deep consumer behavior insights.
  • Users value Decode's seamless integrations and intuitive interface, greatly enhancing their consumer insights research and productivity.
  • Users value the comprehensive data analysis capabilities of Decode, enhancing their understanding of consumer behavior and sales strategies.
  • Users appreciate the advanced analytics of Decode, which significantly enhance consumer trend forecasting and data analysis efficiency.
Cons
  • Users report a steep learning curve with Decode, making initial setup and mastery challenging for some.
  • Users note a steep learning curve initially, requiring time and better tutorials to fully utilize Decode's features.
  • Users find the navigation difficult, as it takes time to locate tools and understand the interface effectively.
  • Users find Decode's interface not user-friendly, lacking intuitiveness and making it challenging to access tools and reports.
  • Users report a steep learning curve at first, making initial setup and feature mastery challenging.

What Are Recent G2 Reviews of Decode?

AddSearch

AddSearch is the unified AI Search and Conversational Content Discovery platform for content-rich websites. One implementation gives you three layers of depth: fast keyword search, AI-generated answers grounded entirely in your own content, and multi-turn AI conversations — deployed together or individually. What customers get on day one (typical go-live: under one week; simple sites in a day): • Site search with autocomplete, typo tolerance, AutoSynonyms in 33 languages, and Progressive Ranking that auto-promotes the most relevant content. • AI Answers with full source transparency, no hallucinations, and a Privacy-First architecture — your data never trains external models. • AI Conversations that remember context, support follow-up questions, and reduce helpdesk volume by answering directly on your site. • Built-in analytics that surface zero-result searches and content gaps. • Total Control: pin results, run promotional banners, and override ranking when you need to. Trusted by 1,800+ organizations in higher education, government, finance, healthcare, manufacturing & telecom, associations, and insurance. SOC 2 Type II, GDPR compliant, 99.9% uptime SLA, with up to 99.999% available on Enterprise.

Average Rating: 4.6/5.0

Total Reviews: 97

How Do G2 Users Rate AddSearch?

  • Data Centralization - Insight Engines: 8.3/10 (Category avg: 9.1/10)
  • Ease of Use: 9.1/10 (Category avg: 9.0/10)

Who Is the Company Behind AddSearch?

  • Seller: AddSearch
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Helsinki, Southern Finland
  • Twitter: @AddSearch
    388 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: President, Marketing Manager
  • Top Industries: Computer Software, Marketing and Advertising
  • Company Size: 50% Small, 42% Medium

What Do G2 Reviewers Say About AddSearch?

AI-generated summary from verified user reviews

Pros
  • Users commend the excellent customer support from AddSearch for being responsive, helpful, and knowledgeable.
  • Users appreciate the ease of use of AddSearch, finding quick implementation and intuitive results enhancing their experience.
  • Users praise the fast and accurate search results of AddSearch, enhancing visitor experience and workflow efficiency.
  • Users highly value the fast and accurate search results of AddSearch, enhancing site navigation and visitor satisfaction.
  • Users value the excellent customer support provided by AddSearch, facilitating quick resolutions and a smooth experience.
Cons
  • Users find the pricing to be high, especially for smaller sites with tighter budgets and limited features.
  • Users face search functionality issues, struggling with result tuning and finding information in the help section.
  • Users find the search functionality limited and wish for better tuning options for search results and priorities.
  • Users find the feature deficiencies limit customization and accessibility, impacting functionality and advanced analytics.
  • Users find the limited customization options of AddSearch can be challenging, especially for non-technical users.

What Are Recent G2 Reviews of AddSearch?

What Are G2 Users Discussing About AddSearch?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 3, 2024