Software Alternatives & Startups
Register | Login

Profound VS Knowi

Compare Profound VS Knowi and see what are their differences

Profound

Profound helps brands gain visibility in AI-generated answers, optimize their presence in LLM-based answer engines, and stay competitive in the zero-click world.

Rating
4.0 · 1 review
Alternatives Is it good?
Knowi

Knowi is an agentic analytics platform. AI agents work inside the data layer to query SQL, NoSQL and APIs directly, join across sources without ETL, and build dashboards teams can use or embed in their own product.

Rating
0 reviews
Pricing
Free Free trial
Alternatives Is it good?
9Proxy
Clean. Fast. Premium Residential Proxies, Starting from $0.015/IP and $0.68/GB. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

SEO Tools popularity
100% vs 0%
alternatives listed
240+ vs 62

Base details

Website, pricing, platforms and company facts side by side.

Profound
Knowi
Website tryprofound.com knowi.com
Pricing
Official pricing
Free Free trial Official pricing
Company — Startup from the United States · 20 - 49 employees · 2015
Listed in
SEO SEO Tools AI Reputation Management +1
Analytics Product Analytics IoT Platform Business Intelligence Embedded Analytics Data Visualization Reporting & Dashboard AI Agents Agentic Analytics Analytics Dashboard Marketing Analytics +8

About Profound and Knowi

In their own words, as submitted to SaaSHub.

Profound
Knowi

No description of Profound yet.

Knowi is the Agentic Analytics Platform. It unifies data from anywhere, adds a governed semantic layer, and deploys AI agents that analyze, monitor, and act on live business data. Traditional BI tools bolt AI onto dashboards. Knowi was built AI-first. The semantic layer defines your metrics,...

Read more about Knowi

Features and specs

What each product offers, as listed by its team.

Profound 5 features
Knowi 10 features
  • User-Friendly Interface
    Profound offers an intuitive and easy-to-navigate interface, making it accessible for users of all skill levels.
  • Comprehensive Analytics
    The platform provides detailed analytics and insights, allowing users to make informed decisions based on data.
  • Customizable Features
    Users can tailor the features and tools offered by Profound to suit their specific needs and preferences.
  • Strong Customer Support
    Profound offers responsive and knowledgeable customer support to assist users with any issues or questions.
  • Integration Capabilities
    The platform supports integration with various third-party applications, enhancing its utility and versatility.

Possible disadvantages

  • Pricing
    The cost of using Profound may be higher compared to some competitors, which could be a barrier for budget-conscious individuals or smaller businesses.
  • Learning Curve
    While the interface is user-friendly, mastering all the features and tools available might take some time for new users.
  • Feature Overload
    Some users might feel overwhelmed by the number of available features and options, leading to potential underutilization.
  • Limited Offline Access
    Profound primarily operates online, which can be a limitation for users needing access to features without an internet connection.
  • Updates and Downtime
    Periodical updates and maintenance might cause temporary downtime, affecting user access to the platform.
  • Agents Inside the Data Layer
    AI agents connect to schemas and the query engine directly rather than sitting on top of finished dashboards, so they build queries, widgets and dashboards instead of only answering questions about ones that already exist.
  • Native NoSQL Analytics
    Query MongoDB and Elasticsearch in their own query language, including nested documents and arrays, without a BI connector or a separate flattening step.
  • Cross-Source Joins Without ETL
    Blend MongoDB, PostgreSQL, Snowflake, Databricks SQL, Trino, Salesforce and REST APIs in a single query, without first moving the data into a warehouse.
  • Semantic Layer as a Dataset Service
    Curated datasets, governed business definitions and a shared glossary the data team controls, so plain-English questions resolve against approved metrics rather than raw tables.
  • Wide Range of Integrations
    The platform connects to relational databases, NoSQL stores, cloud warehouses, SaaS APIs and files, including MongoDB, Elasticsearch, PostgreSQL, MySQL, Snowflake, Databricks SQL, Trino, BigQuery, Redshift, Salesforce and REST endpoints.
  • Real-Time Insights
    Knowi provides real-time data processing and visualization, which enables businesses to access up-to-date insights for timely decision-making.
  • Alerts and Scheduled Reporting
    Threshold and anomaly alerts routed to Slack, email or webhooks, plus scheduled PDF and CSV delivery.
  • MCP Server for AI Assistants
    A Model Context Protocol server so assistants such as Claude can query data, build widgets and create dashboards through Knowi's governed layer.
  • Flexible Deployment
    Run on Knowi Cloud, inside your own VPC, or fully on-premise.
  • No-Code Data Analytics
    Knowi offers a no-code platform that allows users to perform data analytics tasks without needing in-depth programming skills, making it accessible to data-driven teams.

Analysis

An editorial look at what each product does well and who it suits.

Profound
Knowi

Overall verdict

  • Profound is a well-regarded platform in the emerging category of AI search optimization and answer engine optimization (AEO/GEO), helping brands understand and improve how they appear in AI-generated answers from tools like ChatGPT, Perplexity, and Google AI Overviews. It is considered a strong solution for enterprises seeking visibility into their AI search presence.

Why this product is good

  • Provides analytics and monitoring for how a brand shows up across AI answer engines like ChatGPT, Perplexity, and Google AI Overviews
  • Helps businesses track their share of voice, sentiment, and citations within AI-generated responses
  • Offers actionable insights to optimize content for the growing shift from traditional SEO to answer engine optimization
  • Backed by notable investors and adopted by well-known brands, lending credibility to its capabilities
  • Addresses a timely and increasingly important need as consumer search behavior shifts toward conversational AI tools

Recommended for

  • Enterprises and larger brands wanting to monitor and improve their AI search visibility
  • Marketing and SEO teams adapting strategies for answer engine optimization (AEO/GEO)
  • Companies concerned about brand representation and sentiment in AI-generated answers
  • Businesses in competitive industries seeking to track share of voice against competitors in AI search
  • Organizations investing early in the transition from traditional search engines to AI-driven discovery

No analysis of Knowi yet.

Videos

Walkthroughs and reviews on video.

Profound 3 videos + Add
Knowi 1 video + Add

Profound Tutorial & Review For Beginners 2026

More videos

  • - Profound RF vs. Morpheus 8: Which is Better? | Dr. Ben Talei | Beverly Hills Plastic Surgeon
  • - Profound LLM Visibility Tool Review - Is it worth it?

Knowi: End-to-End AI Analytics Platform - Architecture Overview

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Profound
Knowi
100% 100%
SEO Tools
0% 0%
0% 0%
Analytics
100% 100%
100% 100%
AI
0% 0%
0% 0%
IoT Platform
100% 100%

Questions & Answers

As answered by people managing Profound and Knowi.

Who are some of the biggest customers of your product?

Knowi's answer:

Verizon Telstra Everbridge ConvergeOne NJM Insurance Volante Systems intlx Solutions Alteas Health Hometime Tata

What makes your product unique?

Knowi's answer:

Knowi runs AI agents inside the data layer rather than on top of finished dashboards. The agents reach schemas and the query engine directly, which means they can build queries, widgets and dashboards, not just answer questions about ones that already exist.

That architecture comes from what Knowi was built to do: query data where it already lives. It speaks MongoDB and Elasticsearch in their own query language, including nested documents and arrays, and it joins across MongoDB, PostgreSQL, Snowflake, Databricks SQL, Trino, Salesforce and REST APIs in a single query without first moving anything into a warehouse.

Knowi also runs its own AI by default, with OpenAI and Claude available as optional integrations rather than requirements, and it deploys to cloud, your own VPC, on-premises via Docker or Kubernetes, or air-gapped.

Why should a person choose your product over its competitors?

Knowi's answer:

Three practical reasons.

Your data does not have to be relational first. Most BI tools need a warehouse and an ETL pipeline before you see a chart, which means unstructured, nested and API data either gets flattened or gets left out. Knowi queries those sources natively, so the modelling work you would normally do up front becomes optional.

The AI is part of the query path, not a chat box on the side. Many platforms added a copilot that describes existing dashboards. Knowi's agents have access to the schema and the query engine, so they can create new datasets, widgets and dashboards from a question.

You control where it runs and which model touches your data. Knowi AI is the default, third-party models are optional, and deployment can be Knowi Cloud, your own VPC, on-premises, or air-gapped. Knowi is SOC 2 Type II certified, GDPR compliant, and offers a HIPAA BAA.

How would you describe the primary audience of your product?

Knowi's answer:

Data, engineering and product teams at mid-market and enterprise companies whose data is spread across more than one kind of system: NoSQL alongside SQL, warehouses alongside SaaS APIs and documents.

Two buying patterns show up most often. Internal analytics teams who need governed self-service across sources without building a pipeline for every question. And product teams who need customer-facing, multi-tenant analytics embedded inside their own application with row-level access control.

By industry, the customer base skews to telecom, healthcare, manufacturing, SaaS and adtech, proptech and e-commerce. Knowi is sold through a sales team and priced per deployment rather than by public self-serve tier.

What's the story behind your product?

Knowi's answer:

Knowi was founded in 2014, at the point where a lot of production data had stopped being relational. Teams were running MongoDB and Elasticsearch, and the BI tools of the day all assumed a star schema in a warehouse. Getting a dashboard meant building a pipeline first, and anything nested or semi-structured got flattened or dropped along the way.

Knowi was built the other way round: connect to the source, query it in its own language, and join across sources at query time instead of moving the data. Cross-source joins, post-query transformation and a dataset layer that data teams could govern followed from that starting point, and embedded analytics came from customers who wanted to give the same views to their own users.

The AI work is a continuation rather than a pivot. Because Knowi already owned the query path across every connected source, AI agents could be placed inside the data layer with access to schemas and the query engine, instead of being bolted onto a finished dashboard.

User comments

Share your experience with using Profound and Knowi. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Profound 4.0 · 1 review
Knowi no reviews yet

View more

We have no reviews of Knowi yet. Be the first one to post

Alternatives to Profound and Knowi

When comparing Profound and Knowi, you can also consider the following products.

Loading...