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Gab AI Research Assistant

Freemium#21 of 28 in AI Research AssistantsAI Chatbots

Gab AI Research Assistant: A flexible research assistant for cited reports, file analysis, and multi-model comparisons. Ranked #21 of 28 in AI Research Assistants by our editors (7.1/10); pricing: Free plan; best for configurable reports across multiple AI models.

7.1/10Editor score
Gab AI Research Assistant7.1 Visit Gab AI

At a glance

  • Editor score
    7.1 / 10
  • Pricing
    Free plan
  • Best for
    Configurable reports across multiple AI models
  • Free plan
    Yes
  • Paid from
    $16.67/user/mo
  • Source citations
    Yes
  • Founded
    2016 · Clarks Summit, Pennsylvania, USA
  • Facts checked
    20 Sep 2026
Gab AI Research Assistant screenshot
  • Where it wins

    • Structured reports include summaries, findings, citations, and counterpoints.
    • Research depth, source types, and focus questions are configurable.
    • Supports web search, file analysis, Work mode, and model comparisons.
  • Where it doesn't

    • Web retrieval depends on the selected AI model.
    • Model access is governed by credits on the free and paid plans.
    • Premium pricing is substantially higher than the Plus tiers.

Our verdict on Gab AI Research Assistant

Gab AI Research Assistant turns a topic, audience, source preferences, research depth, and focus questions into a structured report. Its outputs can include executive summaries, key findings, detailed analysis, cited sources, counterpoints, open questions, and follow-up questions. The product is aimed at analysts, marketers, founders, journalists, students, academics, and other readers who need sourced background research. It runs on web, macOS, iOS, Android, and as a Chrome extension.

The published plans use a freemium model. Free includes web search, file analysis, access to every AI model using credits, and one custom agent. Plus costs $16.67 per user per month with annual billing, $20 monthly, or $6.99 per user per week; each option adds Work mode, 2,000 credits every month, unlimited default AI messages in the app, and API access. Plus Premium costs $83.25 per user per month with annual billing or $99 monthly, adding 12,000 monthly credits, 50,000 API requests per day, and priority email support.

Its strongest differentiator is configurability: users can choose research depth from Quick scan to Exhaustive, set preferences for academic, industry, and news sources, and request debate analysis or open questions. File uploads and multi-file analysis extend the workflow beyond web research, while Work mode supports multi-step research and artifact creation. Web retrieval depends on the selected model, so the experience can vary by model choice. Pick Gab for adaptable, citation-focused research across documents and AI models; choose another tool if a fixed web-retrieval behavior or a narrower pricing structure matters more.

Your product? Our editors can test Gab AI Research Assistant in depth and publish a review, labelled as paid · from $149/mo →

Gab AI Research Assistant pricing

Plans Free planFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 20 Sep 2026.
See plans on gab.ai

All 3 Gab AI Research Assistant plans and prices →

Gab AI Research Assistant fact sheet

Free planYes
Paid from$16.67/user/mo
Source citationsYes
Deep research modeYes
Source accessWeb+files
File uploadsYes
Source limitNot verified
Team workspaceNot verified
DeploymentCloud, Desktop, Mobile, Browser extension
PlatformsWeb, macOS, iOS, Android, Chrome extension
SupportEmail, Docs
Built forSolo, Small business, Mid-market (editorial estimate)
PricingFree plan (source)
Websitegab.ai
Facts checked20 Sep 2026

Alternatives to Gab AI Research Assistant

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Also Ranked In

Gab AI Research Assistant is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — Gab AI Research Assistant 7.1/10

Gab AI Research Assistant is listed in our AI Research Assistants directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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