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Rank #7 of 9 in AI Assistants

Gemini logo

Gemini

Built-in AI assistant

Google · commercial

gemini.google.com ↗
PA Score17/100AGENT-READY9/100BUILT-IN AI70/100API untested
MCP—CLI~API~
no public signals
ArenasAI Assistants#7/9

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Products

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Google ships more than one product — each judged line competes in its own arena on the same stories as everyone else.

LineArenaRankPA Score
Geminithis pageAI Assistants#7/917/100
AntigravityAI Coding Agents#5/1337/100
Gemini CLIAI Coding Agents#12/1321/100
Gemini Notebook (NotebookLM)AI Research Agents#6/67/100
JulesSoftware Factory#7/923/100
Agent Development KitAgent Frameworks & SDKs#4/935/100
FirebaseBackend as a Service#3/435/100
AngularFrontend Frameworks#3/528/100

Not yet judged (4 — no arena where they compete): Google AI Studio · Flow · Gemini in Chrome · Gemini Code Assist

Verified integrations

Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.

AiderAI Coding AgentsBigQuery logoBigQueryData Warehouses & LakehousesBrowser Use logoBrowser UseBrowser Automation for AgentsClickUp logoClickUpProject ManagementCline logoClineAI Coding AgentsCloudflare AI Gateway logoCloudflare AI GatewayModel Gateways & RoutersCursor logoCursorAI Coding AgentsFirebase logoFirebaseBackend as a ServiceGemini CLI logoGemini CLIAI Coding AgentsGitHub logoGitHubCode HostingGoogle ADK logoGoogle ADKAgent Frameworks & SDKsHelicone logoHeliconeLLM Evals & ObservabilityKong logoKongAPI platformsMastra logoMastraAgent Frameworks & SDKsOpenCode logoOpenCodeAI Coding AgentsPoly logoPolyNotes & Knowledge BasesPydantic AI logoPydantic AIAgent Frameworks & SDKsRequesty logoRequestyModel Gateways & RoutersWarp logoWarpTerminals

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

28.5/100

Agents tasks — stories about agents tasks in this arenaAgents tasksevidence →

Stories about agents tasks in this arena

31.2/100

Apps devices — stories about apps devices in this arenaApps devicesevidence →

Stories about apps devices in this arena

34.0/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

22.5/100

Connectors apps — stories about connectors apps in this arenaConnectors appsevidence →

Stories about connectors apps in this arena

62.4/100

Files analysis — stories about files analysis in this arenaFiles analysisevidence →

Stories about files analysis in this arena

36.0/100

Memory context — stories about memory context in this arenaMemory contextevidence →

Stories about memory context in this arena

68.3/100

Multimodal — stories about multimodal in this arenaMultimodalevidence →

Stories about multimodal in this arena

57.3/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

0.0/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

39.8/100

Research answers — stories about research answers in this arenaResearch answersevidence →

Stories about research answers in this arena

56.4/100

Trust controls — stories about trust controls in this arenaTrust controlsevidence →

Stories about trust controls in this arena

40.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 1 free · 1 paid · 0 enterprise · 29 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 52/52 stories · click a row’s chevron for the rationale and evidence

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10X

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partialpaid5/10X

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/a0/10

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10X

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10C

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10C

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10X

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1n/auntestednone yet

Connect my cloud drive, email, and calendar so the assistant can search and use them in answers C

Connectors

knowledge-workerConnectors apps — stories about connectors apps in this arenaConnectors apps3full8/10C

Control whether my conversations are used to train models C

Data controls

knowledge-workerTrust controls — stories about trust controls in this arenaTrust controls3full8/10C

Have the assistant remember relevant context from previous chats and apply it in new conversations C

Memory

power-userMemory context — stories about memory context in this arenaMemory context3full8/10C

Upload documents, spreadsheets, and PDFs and get accurate analysis of their contents C

Files

knowledge-workerFiles analysis — stories about files analysis in this arenaFiles analysis3full8/10X

Launch a deep research run that autonomously searches many sources and returns a cited report C

Research

knowledge-workerResearch answers — stories about research answers in this arenaResearch answers3full7/10C

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3partial7/10C

Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review C

Agent mode

power-userAgents tasks — stories about agents tasks in this arenaAgents tasks3partial6/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial4/10C

Have the assistant operate a web browser on my behalf to research and complete tasks on websites C

Agent mode

power-userAgents tasks — stories about agents tasks in this arenaAgents tasks3partial4/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3none0/10

Have the assistant write and run code on my data to produce charts, computed answers, and downloadable files C

Analysis

power-userFiles analysis — stories about files analysis in this arenaFiles analysis3none0/10

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3n/auntestednone yet

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2full8/10C

Generate and edit images from natural-language prompts C

Images

knowledge-workerMultimodal — stories about multimodal in this arenaMultimodal2fullfree8/10C

Have a natural, real-time voice conversation with the assistant C

Voice

knowledge-workerMultimodal — stories about multimodal in this arenaMultimodal2full8/10C

Organize related chats and files into a project or space that shares context and instructions C

Projects

knowledge-workerMemory context — stories about memory context in this arenaMemory context2full7/10X

Browse a directory of third-party apps and connectors and add them to the assistant C

Connectors

power-userConnectors apps — stories about connectors apps in this arenaConnectors apps2partial6/10C

Build and share custom assistants with their own instructions and knowledge C

Custom bots

power-userApps devices — stories about apps devices in this arenaApps devices2partial6/10C

Get answers grounded in current web results with citations back to the sources C

Research

knowledge-workerResearch answers — stories about research answers in this arenaResearch answers2partial6/10C

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2partial6/10C

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial6/10C

Schedule recurring or one-off tasks that run automatically and come back to me with results C

Tasks

power-userAgents tasks — stories about agents tasks in this arenaAgents tasks2partial6/10C

Use full-featured official mobile apps for iOS and Android C

Apps

knowledge-workerApps devices — stories about apps devices in this arenaApps devices2partial6/10C

Let the assistant see and operate applications on my computer to complete work C

Agent mode

power-userAgents tasks — stories about agents tasks in this arenaAgents tasks2partial5/10C

Use an official desktop app with OS-level shortcuts and access to what is on my screen C

Apps

power-userApps devices — stories about apps devices in this arenaApps devices2partial5/10C

Have the assistant create and iteratively edit documents, presentations, and other files I can export G

Artifacts

knowledge-workerFiles analysis — stories about files analysis in this arenaFiles analysis2partial4/10C

Share screenshots and photos and have the assistant accurately interpret what is in them C

Images

knowledge-workerMultimodal — stories about multimodal in this arenaMultimodal2disputed4/10D

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial3/10X

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2none0/10

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Manage members, permissions, and data policies for my organization's workspace C

Admin

team-adminTrust controls — stories about trust controls in this arenaTrust controls2noneuntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2n/auntestednone yet

Set persistent custom instructions and preferences that shape every response C

Memory

power-userMemory context — stories about memory context in this arenaMemory context1partial5/10C

Export my complete chat history and account data G

Data controls

knowledge-workerTrust controls — stories about trust controls in this arenaTrust controls1none0/10

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1noneuntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 32 stories with headroom

What would move Gemini’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools

    nonemoves agent-readyimpact 45

    Missing: any documentation or mention of MCP server support, MCP client configuration, or third-party tool registration via MCP standard.

  2. Files analysis — stories about files analysis in this arenaHave the assistant write and run code on my data to produce charts, computed answers, and downloadable files

    nonemoves PA Scoreimpact 30

    The evidence pack shows Gemini can import/upload code folders and GitHub repos and get 'insights' from uploaded documents/spreadsheets, but there is no evidence of an actual code-execution/sandbox feature that writes and runs code to produce charts, computed answers, or downloadable output files.

  3. Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave

    nonemoves PA Scoreimpact 30

    Missing: any documentation of a data export/download feature (e.g., Google Takeout integration), open-format export options, or independent confirmation of data portability.

  4. Agenticness — how well agents can access and operate the productPoint an agent at llms.txt or agent-oriented docs

    nonemoves agent-readyimpact 30

    Missing: any mention of llms.txt support, agent-oriented doc parsing, or a documented workflow for feeding agent-discovery docs to Gemini.

  5. Agenticness — how well agents can access and operate the productRun the product headlessly / in CI for automation

    nonemoves agent-readyimpact 30

    The evidence pack is dominated by consumer-facing Gemini Apps documentation (chat, image generation, Gemini Live, notebooks) and contains no first-party documentation of a headless mode, CI integration, or automation-friendly API/CLI usage.

  6. Agenticness — how well agents can access and operate the productBuild against official SDKs

    nonemoves agent-readyimpact 30

    The evidence pack only covers Gemini's consumer-facing app features (uploads, Gemini Live, Gems, connected apps) and does not document any official SDKs for building applications (e.g., Python/Node/Go SDKs for the Gemini API).

  7. Agenticness — how well agents can access and operate the productSubscribe to events via webhooks

    nonemoves agent-readyimpact 30

    No evidence in the pack describes Gemini offering a webhook subscription mechanism for events; the docs cover imports, connected apps, Gems, Live, Deep Research, etc., but nothing about outbound webhooks or event subscriptions for AI-native/agentic integration.

  8. Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy

    nonemoves API qualityimpact 30

    The evidence pack is entirely consumer-focused Gemini Apps documentation (image generation, Gemini Live, connected apps, notebooks) and general community sentiment about model quality/pricing; there is no mention of API versioning, version lifecycle, or a documented deprecation policy anywhere in the pack.

Showing the top 8 of 32 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map3 surfaces · 32 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

Gemini docs30 stories

Hacker News8 stories

About docs8 stories

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

3 of 17 testable claims verified · 1 contradicted → integrity 6/100

27 distinct capability claims found in Gemini’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

3

Verified

13

Unverified

1

Contradicted

15

Undersold

Verified (6)
Unverified (23)
Contradicted (1)
Undersold (15)

Business model

free-tiersubscription-flat

Free tier with usage limits; Google AI Plus, Pro, and Ultra subscriptions raise limits and unlock advanced models and features across Gemini and other Google products.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Score19 (Sep 14 '26)17 (Sep 16 '26)
Agent-ready9 (Sep 14 '26)9 (Sep 16 '26)

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For agents

This page as markdown/llms.txt

Data

Evidence (JSON)Verdicts (JSON)