Software profile

ChatHub at a glance.

An all-in-one browser extension that allows users to chat with multiple AI chatbots simultaneously in a single interface.

Try ChatHub ↗Explore AI Productivity

Lorezi score4.62/5

Pricing$14.99/month billed annually

Free planLimited freemium

DeveloperChatHub

Decision summary

What matters first about ChatHub.

An all-in-one browser extension that allows users to chat with multiple AI chatbots simultaneously in a single interface.

Compare ChatHub →Visit official site ↗

Lorezi score4.62/5Summary score; review the four dimensions below.

Price$14.99/month billed annually

Best forContent Creators

Think twice ifRequires active accounts for each individual AI service

Research freshnessCurrent

Last researchedAug 27, 2026

Scores summarize Lorezi's evaluation. Use the dimension breakdown and evidence to understand the trade-offs. See methodology and weighting.

Research freshness

Current How current is this profile?

Research evidence is within Lorezi's 90-day freshness window.

Last researchedAug 27, 2026

Re-check byNov 25, 2026

Pricing

Checked How does ChatHub charge?

Lorezi independently checked this pricing on Sep 30, 2026.

Model Free

Starting point Free

Billing basis Free access

Pricing checked Sep 30, 2026

Evaluation

How ChatHub performs.

Four consistent dimensions turn the headline score into a transparent product evaluation.

Features4.8/5

Performance4.6/5

Ease of use4.5/5

Value4.5/5

Editorial verdict

The decision on ChatHub.

ChatHub is an essential utility for anyone who finds themselves juggling multiple AI subscriptions. It transforms the chaotic experience of tab-switching into a structured, efficient, and highly productive workflow. By centralizing the AI experience, it allows users to focus on the quality of their prompts and the utility of the outputs rather than the mechanics of managing multiple browser windows.

For those looking to optimize their AI workflow, ChatHub offers a compelling, efficient, and user-friendly experience that justifies its place in your browser toolbar. Its ability to unify the fragmented AI landscape into a single, high-performance interface is a significant productivity gain.

Best for

Where it fits best.

Content Creators
Researchers
Developers
AI Enthusiasts
Power Users

Use cases

Practical jobs to consider.

Apply Multi-chatbot parallel processing in a real workflow
Apply Side-by-side comparison view in a real workflow
Apply Support for ChatGPT, Claude, Gemini, and Bing in a real workflow
Apply Prompt library management in a real workflow
Apply Keyboard shortcuts for quick access in a real workflow
Apply Chat history export and import in a real workflow
Find and synthesize information for a project
Apply Customizable workspace layout in a real workflow

Trade-offs

Strengths and limitations together.

A useful software decision should show what stands out and what deserves caution in the same view.

Strengths

Where ChatHub stands out.

Enables simultaneous comparison of multiple AI models
Streamlines workflow by centralizing various AI services
Highly customizable interface with keyboard shortcuts
Supports a wide array of popular AI chatbot providers
Includes a convenient prompt library for recurring tasks

Limitations

What to weigh carefully.

Requires active accounts for each individual AI service
Performance may vary based on browser resource usage
Limited functionality in the free tier compared to Pro
Dependency on third-party API availability and stability

Capabilities

What can I do with ChatHub?

Apply multi-chatbot parallel processing with ChatHub
Apply side-by-side comparison view with ChatHub
Apply support for chatgpt, claude, gemini, and bing with ChatHub
Apply prompt library management with ChatHub
Apply keyboard shortcuts for quick access with ChatHub
Apply chat history export and import with ChatHub
Find and synthesize relevant information with ChatHub
Apply customizable workspace layout with ChatHub

Practical prompts

Useful starting prompts.

Ask two available assistants [research question] in parallel; compare evidence, uncertainty and unsupported claims.
Compare two model explanations of [stack trace] side by side, verifying proposed fixes against test results.
Apply one saved [document review] prompt across supported models; check completeness and source fidelity.
Ask the same [technical question] to two selected chat models and compare accuracy against a supplied source.
Create a prompt-library template for [customer reply editing] with tone, factual constraints and output structure.
Test parallel model responses on [ambiguous request] and identify hallucinated assumptions.
Prepare a side-by-side comparison for [coding task] using passing tests rather than writing style.
Review exported [multi-model conversation history] for personal details before sharing it.

Explore prompts →

Expert review