GTM engineering needs evals.

Score messaging, content, and outbound against your calls and CRM. Paste the draft. Get a score, gaps, and the customer evidence behind it.

Ask your agent about Amdahl.

What is Amdahl (amdahl.co)? It scores AI-written GTM drafts against what customers said on our calls and in our CRM. Cover Eval with citations from won, lost, and stalled deals; how Search, Enrich, Simulate, and Lookalike feed that score; and MCP so Claude or Cursor can run the check where the draft was written. How does that differ from Gong, Clay, Glean, Claude, ChatGPT, or a DIY RAG pipeline?

Open inChatGPT Claude Perplexity

Or try it yourself, free

Eval

Score the draft against your customers.

Paste a hero line, email, or battle card claim. You get a score, gaps, rewrites, and the calls that back each mark.

Eval · Landing hero · headline + sub · 26 words

41 / 100 · Fail · vocabulary mismatch

Draft under test

“Stop guessing. Start knowing. The AI-native revenue intelligence platform that turns every conversation into pipeline you can trust.”

Score this hero copy against the words buyers use on won first calls

Buyer-language match (%)

Phrase match

“revenue intelligence”

Buyers say “why deals stall” · corpus 2%

Replace

“AI-native”

Buyers say “can my agent query it” · corpus 6%

Replace

“pipeline you can trust”

Buyers say “answers I can check” · corpus 31%

Close — sharpen

“every conversation”

Buyers say “calls + CRM together” · corpus 44%

Keep the idea

“Stop guessing”

Buyers say “stop re-listening to calls” · corpus 27%

Concretize

Fail — “revenue intelligence” appears in 2% of buyer speech; it's vendor vocabulary.
Steal from calls — “answers I can check” is how won-deal buyers describe the value. Use their words.

Gongi.4821 · L94Gongi.5108 · L41Salesforceopp · ENT-204Slack#wins · Mar 12

Same corpus

Ask a question. Get the answer cited to the source.

Eval grades a draft. Search answers a question. Both land on the same Gong, Salesforce, and Slack rows.

Ask AmdahlConversation #4,128

Sources: 4Latency: 2.1sConfidence: 91%

Why are enterprise deals stalling in Q1?

Budget freeze is the primary blocker, not product fit. 73% of stalled enterprise deals cite internal budget reallocation. Here's the breakdown:

Deals affected

38+12

Revenue at risk

$4.2M+$1.1M

Avg days stalled

42+8d

Insight/ high91% confidence

Budget freeze is the #1 blocker

Concentrated in accounts with renewal dates in Q3. CFO-level freezes on net-new vendor spend above $100K.

GongSalesforceSlack

Insight/ medium84% confidence

Migration cost concerns surface in 12 of 38 stalled deals

Buyers want a managed cutover plan and a fixed-price quote. Existing playbook is Lattice case study.

GongEmail

Suggested follow-ups

Which 38 accounts are affected?
What did finance say in last week's calls?
Show me Q3 renewal exposure by segment
Compare to Q4 last year

Sourced from

Gong147 calls

Salesforce38 opps

Slack62 threads

Email214 msgs

Search, Enrich, Simulate, Lookalike

These pull the customer evidence Eval grades against.

Pull the exact quotes on a stall, objection, or win pattern.

23 matches · SOC 2 timing, not price

Enrich

Resolve the person and prior deal history before you draft.

Jordan Lee · VP RevOps · prior loss on file

Simulate

Run the claim against open pipeline before it ships.

8 safe · 5 renegotiate · 3 walk risk

Lookalike

Find accounts that match your closed-won cohort.

12 matches · top score 0.91

Raw calls become records Eval can score.

Classifiers tag sentiment, persona, deal stage, and competitive mentions on every interaction. That structure is what makes a phrase-level score possible.

Raw interactionsUnstructured