Evergrowth vs ChatGPT, Claude & Cowork

Standalone, they know the world.
Integrated, they know your accounts.

Evergrowth plugs into ChatGPT, Claude and Copilot, so Eva answers there from your training and your accounts.

See it for yourself
Standalone vs integrated
ChatGPT, Claude & Cowork, standalone

General-purpose. You build the GTM setup.

Integrated with Evergrowth

RevOps trains once. Eva brings it into the same tools.

Eva answers in Claude, ChatGPT, Cowork, Codex and Copilot

The short answer

Standalone, or integrated with your accounts

Use them standalone if

You need a general assistant, and a team to build the GTM setup

Writing, analysis and whole tasks in the background, with sales plugins and CRM connectors. Someone writes your ICP and personas into skills, and keeps them current.

Connect Evergrowth if

Your reps work in ChatGPT or Claude and need it to know your accounts

RevOps trains the agents once. They judge and research your accounts on your CRM data, and every rep asks Eva from Claude, ChatGPT, Cowork, Codex or Copilot.

Honest assessment

Where ChatGPT, Claude and Cowork are strong, by their own account

Each card comes from OpenAI's and Anthropic's own pages, read 2 to 5 Oct 2026.

They know almost everything

Strong reasoning and writing in any domain, on frontier models: GPT-6 in ChatGPT Work, Opus 5.5 and Sonnet 5.5 in Claude.

OpenAI and Anthropic model pages, read 2 Oct 2026

Your CRM plugs in

HubSpot and Salesforce connectors read and update records, and contact data vendors connect with your own account.

HubSpot and Salesforce connector pages, 26 Feb to 17 Sep 2026

Agents that run on their own

ChatGPT team tasks run on a schedule or a trigger, and Cowork keeps working in the cloud with the laptop closed.

ChatGPT what's new and Claude help center, read 5 Oct 2026

Sales skills, ready to install

OpenAI's and Anthropic's sales plugins research accounts and tier them against the ICP you supply, and both now answer in Slack.

Sales plugin pages, 2 Jun 2026; read 5 Oct 2026
The difference

Your GTM knowledge lives in 1 place, not in every prompt

Standalone, the ICP and personas live in the prompts, skills and projects someone writes and keeps current. Integrated with Evergrowth, RevOps trains the agents once, and every rep reaches them from the same AI tool.

ChatGPT, Claude & Cowork

Standalone: the GTM layer is yours to build

Templates, sales plugins and skills help. Someone writes your rules into them, and keeps them current.

  1. Someone writes itYour ICP, personas and rules go into prompts, skills or a project
  2. Each person runs itMemory per person or project; Cowork sessions can't be shared
  3. Results land in chats and filesThe CRM gets them only through a connector

Sales plugins score accounts against the ICP you supply; Claude's tiering skill writes nothing to the CRM.

Integrated with Evergrowth

Integrated: RevOps trains it once, every rep reaches it

RevOps trains the ICP, the personas and the value proposition once. Reps ask Eva through MCP in the AI tool they use, she launches the agents, and the agents update your CRM.

  1. RevOpsTrains once: the ICP, the personas and the value proposition, then sets up the agents in the Agent Hub
  2. The reps, through MCPAsk Eva in Copilot, Claude or ChatGPT, and she launches the agents
  3. The agentsUpdate your CRM live: each answer lands in the CRM fields RevOps maps, as the agents finish
    +2: Pipedrive and Zoho CRM

Eva shows the estimate in credits and asks before she launches a run. Answers land in the fields RevOps maps.

Integrated, through MCP

Each rep adds Eva to the AI tool they already use

Each rep connects Eva once, then asks her in the AI tool they already use. She answers from the same workspace research, with each rep's own permissions.

  • Claude
  • ChatGPT
  • Claude Cowork
  • Claude Code
  • Codex
  • Microsoft 365 Copilot
  • GeminiComing with Enterprise
  • Custom MCP connectorOn demand
Agent Training Center

Train the agents from your website, not from a prompt

RevOps drafts the value proposition from your website and PDFs, then sets the ICP per vertical and the persona cards beside it. Publish once, and every agent works from the new version.

Who fits

Every account is judged against the rules you wrote

Each vertical has its own ICP rules. An account comes back Yes, or No with the reason naming the rule it failed, so a rep can see why, and RevOps can change the rule.

Your signals

Describe a signal, and Eva drafts the research agent

Tell Eva what your deals turn on, such as a CRM consolidation. She proposes the agent, its effort and the verticals it runs on, and asks before she creates it.

Before she spends

Eva shows the credits and waits for a yes

Before she runs a workflow, Eva shows the estimate in credits and the run to review. Nothing starts until the rep answers Yes, run it.

In your CRM

Every answer lands in the fields RevOps maps

Each research answer, its sources and its reasoning become CRM fields. RevOps maps them once, and the sync runs both ways with 6 CRMs.

Side by side

How ChatGPT, Claude, Cowork and Evergrowth compare

Their column comes from OpenAI's and Anthropic's own pages, Evergrowth's from the product itself. Checked 5 Oct 2026.

ChatGPT, Claude, Cowork and Evergrowth, side by side
DimensionChatGPT, Claude & Cowork, standaloneIntegrated
GTM knowledge
Where the ICP livesIn your prompts and skillsIn prompts, skills, projects or plugin settings someone writes1 training centerIn the Agent Training Center: the ICP per vertical, persona cards and the value proposition
Who keeps it currentEach builderWhoever built each agent or skill; owners can push skills to everyoneRevOps, onceRevOps publishes a change once; every agent works from the new version
Account verdictA score from your rubricSales skills tier accounts 0 to 10 against the ICP you supplyYes or No, with the reasonYes or No per account, with the reason naming the rule
Research signalsPer chat or taskDeep research and sales skills answer what you ask, per chat or taskYour signals, per verticalResearch agents answer the signals RevOps writes, per vertical, dated, with the reasoning
Running the work
Many accounts at onceNot publishedNo published throughput; the work counts toward usage limitsHundreds in 1 runHundreds of accounts in 1 run, queued in the cloud
Schedules and triggersTasks you buildChatGPT team tasks on a schedule or event; Cowork schedules by timeBuilt inDaily, weekly or monthly, or when a record enters a saved view
Before spendingPer write, by settingClaude asks before each write unless auto-approve is on; usage limits per planAsks first, in creditsEva shows the estimate in credits and asks before she launches
Where reps work
Where reps askIn the assistantIn the assistant's chat and tasks, and its own Slack or Teams appWherever they workEva in Claude, ChatGPT, Cowork, Codex and Microsoft 365 Copilot through MCP, and in Slack and Microsoft Teams
Shared resultsChats, files, pagesProjects, Spaces and shared artifacts; Cowork sessions can't be sharedOn the recordOn the account record, for the whole team
CRMThrough connectorsConnectors read and update records; HubSpot writes 10 records per request6 CRMs, 2-way2-way sync with 6 CRMs, written back to the fields RevOps maps
Data and models
Contact dataYour own vendorYour own account with a contact data vendor, through a connector30+ vendors, billed when foundEmail/Phone Finder: 30+ vendors in 1 waterfall, billed only when it finds one
Models1 vendor eachOpenAI's models in ChatGPT; Anthropic's in ClaudeChosen per agentModels from OpenAI, Anthropic and Google, chosen per agent
Where each line comes from
  • OpenAI: ChatGPT models, pricing and what's new (DevDay)read 2 and 5 Oct 2026
  • OpenAI: Sales plugin and workspace agent templates2 Jun and 22 Apr 2026
  • Anthropic: Claude Cowork, memory, projects and approvals help pagesread 2 and 5 Oct 2026
  • Anthropic: sales plugin on GitHubread 5 Oct 2026
  • HubSpot and Salesforce connector pages for ChatGPT and Claude26 Feb to 17 Sep 2026

Evergrowth's column: the product as it ships, checked 5 Oct 2026.

ARIS reps run the agents themselves

ARIS gave Evergrowth its value proposition, ideal customer profiles and personas once. Its reps now run their own agentic workflows on that training. The 4 outcomes are in ARIS's own words.

“Seeing reps go into an AI system and start running their own agentic workflows, that's something I wouldn't have imagined two years ago.”

Sven Roeleven Sven Roeleven, SVP Solution Management, ARIS
Read the ARIS story
Cultural shift
Reps now experiment directly with AI agents independently
Custom signals
Built niche Research Signal Agents (e.g. on-prem vs SaaS buyers)
Hours → seconds
Account research and planning time compressed
Global rollout
Structured training, regional webinars, and onboarding embedded
Questions

Questions teams ask when their reps already use AI

Our reps already use ChatGPT or Claude. Do they need Evergrowth?

They can stay in it. The Evergrowth connector brings Eva into Claude, ChatGPT, Cowork, Codex and Microsoft 365 Copilot, so a rep asks there and Eva answers from the training RevOps wrote and the research your agents did on each account. Gemini is coming with Enterprise, and a custom MCP connector is available on demand.

Can't we build this with sales plugins and skills?

You can build a lot: OpenAI and Anthropic ship sales plugins, and Anthropic's tiers accounts against the ICP you supply. Someone still writes the ICP and personas into them, keeps them current and wires the CRM write-back. Evergrowth ships that layer: the training center, the agents and the CRM sync.

Does Eva spend credits without asking?

No. Before she launches a run, Eva shows the estimate in credits and waits for a yes, in the workspace, in Slack or Teams, or in the AI tool the rep asked from.

Which models does Evergrowth run on?

Models from OpenAI, Anthropic and Google, chosen per agent. The difference is what the agents know: your training, your accounts and your CRM.

Related comparisons
The header of the Evergrowth vs Clay pageEvergrowth vs ClayClay gives builders a kit. Evergrowth gives reps agents.The header of the Evergrowth vs Data Vendors pageEvergrowth vs Data VendorsData vendors turn personas into filters. Evergrowth turns them into verdicts.The header of the Evergrowth vs Demandbase pageEvergrowth vs DemandbaseDemandbase scores intent. Evergrowth researches each account.The header of the Evergrowth vs Internal Build pageEvergrowth vs Internal BuildBuild the agent. We run the 10 systems under it.The header of the Evergrowth vs HubSpot Breeze pageEvergrowth vs HubSpot BreezeBreeze answers from your CRM. Evergrowth tells it who fits, and why.The header of the Evergrowth vs Salesforce Agentforce pageEvergrowth vs Salesforce AgentforceAgentforce works from your Salesforce data. Evergrowth tells it who fits, and why.
What your security team will ask

  • Never used to train models

    Your CRM data, research outputs and agent activity are never used to train or fine-tune models. Not by us, not by our providers.

  • Your workspace is isolated

    Each workspace is logically isolated, so your data is never accessible to another customer.

  • You control retention

    If you cancel, your data is returned or deleted, your choice. If you make no request, all personal data is permanently deleted within 30 calendar days.

The detail, the sub-processors and the DPA are on Security and trust.

Your material stays yours

Under the MSA, everything you upload and everything the agents produce from it is yours.

SOC 2Audited
ISO 27001Certified
GDPRCompliant

See Eva in your own AI tool

A live walkthrough: your training in the Agent Training Center, the agents on your accounts, and Eva answering in ChatGPT, Claude or Copilot.

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