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Enlyft works inside Claude and Microsoft Dynamics 365 Sales via MCP.

Enlyft vs. ChatGPT and Claude

ChatGPT and Claude can research any company. Neither can tell you which of your accounts is ready to buy what you deliver.

Ten sellers prompting ten different ways get ten different answers, and nobody can tell which one was right. Enlyft brings what an AI assistant structurally can’t, then hands your seller a ready draft to review and send.

See it on your own accounts →See the comparison

Same account, side by side

What your rep actually gets

Northwind FreightLogistics · Chicago, IL · illustrative

AI assistantClaude, ChatGPT

You get a company profile

From the public web

Mid-market logistics company, ~1,200 employees
Announced expansion into two new regions
Leadership bios and recent press

Can’t reach

Tech running inside the accountNot public

What changed this weekUnscored

Your vendor’s funded use caseNot public

The buying groupGuesswork

Draft quality depends on who’s prompting.

Built for partner co-sell

You get a ranked, ready play

High fitPropensity · AWS line

In buying window

Why now

Hiring 3 data engineersSnowflake addedNew CTO

Lead with

Data platform migration · vendor-funded use case

Buying group

ChampionVP Data

Econ. buyerCFO

Likely blockerIT Security

Draft ready. Seller reviews and sends.Review draft

24,000+Technologies modeled

45M+Companies profiled

50+Live signals per account

10+ yrsGraph built in-house

Enlyft-stated. The same graph powers the propensity engine behind Microsoft CloudAscent.

Which fits your team?

Same account, two answers

Use an AI assistant

An AI assistant is enough for

A quick read on a company before a first call
A briefing on a market you don’t know
A rewrite of something you’ve already drafted

Use Enlyft

What Enlyft does before anyone asks

Researches every account in the book, before Monday
Carries last month’s correction into this week’s draft
Picks a different angle for each vendor you sell for

Already using Claude or Dynamics 365? Enlyft can feed it via MCP.

Book a demo →

The fair question

Where does Enlyft play if Claude already does the research?

“Claude is your best guy… where does Enlyft play?”
Prospect, during evaluation

Fair question, and it deserves a real answer rather than a defence of why AI is overrated. It isn’t. The gap isn’t the model. It’s what the model can reach.

If AI is already in your team’s workflow, look at the output across the whole team. For a first read on a company, an AI assistant does the job. No argument there. But knowing which of your accounts is ready, and why now, runs on data that isn’t on the public web, and no amount of prompting reaches it.

The data gap

What can’t an AI assistant reach?

What’s actually running inside the account

A proprietary technographic graph that sees what’s in the critical path and which cloud is dominant. 24,000+ technologies across 45M+ companies, 10+ years in the making. Not licensed enrichment. Enlyft’s own, and not on the public web.

What changed this week

50+ live signals per account (hiring, funding, leadership moves, stack changes) scored into a buying window. That’s why now, rather than a profile that goes stale the day it’s written.

Which use case to lead with, for your vendor

Each vendor’s Solution Profile tells the agent the business scenario that matters at this account, and who to reach for it. An AI assistant personalizes on a company name. It doesn’t know AWS’s funded co-sell use cases from Microsoft’s.

None of that is a prompt away. It’s first-party and proprietary data the public web doesn’t contain, plus a graph built in-house over a decade. The vendor-side pieces are AWS account owner, territory, segment and ACE status, and Microsoft CloudAscent and ASPX overlap. A better prompt doesn’t create access.

Consistency

Why does output vary from rep to rep?

There’s a second problem that has nothing to do with data. When every rep freelances their own prompts, outreach comes out inconsistent and nobody can tell what “good” looked like, so nothing compounds.

An AI assistant

A different answer per rep.

Ten sellers, ten prompts, ten results nobody can compare.

Enlyft

The same rigor, every account.

The same ranking, use-case logic and buying-group work for every seller, every week. It drafts from that. Your seller reviews and sends.

Side by side

How does Enlyft compare with ChatGPT or Claude?

YesPartialNo

Criteria	An AI assistantClaude, ChatGPT	EnlyftBuilt for partner co-sell
What it can see
Public web research on a company	YesYes, and it does it well	YesYes, as part of the account picture
Technology actually running inside the account	PartialOnly what’s been published somewhere	YesProprietary graph, 24,000+ technologies, 45M+ companies
What changed at the account this week	PartialWhatever has been indexed, unscored	Yes50+ live signals scored into a buying window
Vendor first-party data (AWS ACE, Microsoft CloudAscent/ASPX)	NoNo, not public	YesYes
What it produces
Ranked book per vendor line	NoNo	YesYes, known buying signals scored per line
Use case to lead with, per account	PartialGeneric personalization	YesFrom the vendor’s funded Solution Profile
Buying group, not a title list	PartialGuesswork from public profiles	YesLikely champion, economic buyer, likely blocker
Drafted outreach	YesYes, from whatever it was given	YesYes, grounded in the above. Seller reviews and sends
Same rigor across every seller, every week	PartialDepends who’s prompting	YesBy design

Where an AI assistant does the job well, we’ve said so.

MCP connectors

Already working inside your own AI?

Enlyft can feed it through MCP, including Claude and Microsoft Dynamics 365 Sales, so the model is grounded in data it otherwise can’t see. The point isn’t to swap out your AI. It’s to give the co-sell research to whoever’s doing it.

The honest part

When an AI assistant is enough

If you need a quick read on a company before a first call, a briefing on a market you don’t know, or a rewrite of something you’ve already drafted, an AI assistant handles it and Enlyft isn’t what you’re reaching for.

Enlyft earns its place when a team has a whole book to work every week, the right angle depends on which vendor you are selling for, and nobody has time to start from a blank prompt each time.

FAQ

Frequently asked questions

Why not just use ChatGPT or Claude for account research?

For a first read on a company, an AI assistant does the job. What it can’t reach is what’s actually running inside an account, what changed there this week, and which of your vendor’s funded co-sell use cases applies. That’s first-party and proprietary data the public web doesn’t contain, so it isn’t a prompt away.

Does Enlyft work with the AI my team already uses?

Yes. Enlyft can feed your own AI through MCP, including Claude and Microsoft Dynamics 365 Sales, so the model is grounded in data it otherwise can’t see. The point isn’t to swap out your AI. It’s to give the co-sell research to whoever’s doing it.

Isn’t this just a prompt-engineering problem?

No. A better prompt doesn’t create access to data that isn’t public. Enlyft’s technographic graph is modeled in-house, the vendor-side data comes from the programs themselves, and the buying signals are scored continuously. A model can’t retrieve what isn’t there to retrieve.

Does the agent send the emails?

No. Pipeline Agent drafts the outreach and the seller reviews and sends it. The draft is grounded in the account’s signals, the vendor’s use case and the buying group, so the seller is editing something real rather than starting from a blank page.

Independent research

Ask an AI assistant about Enlyft

Ask ChatGPT Ask Claude Ask Perplexity Ask Google AI

See it on your own accounts

Don’t take the comparison on faith.

Bring accounts you know cold and we’ll run them live: the ranking, the signals, and the play, next to what you already believe is true.

Book a demo →