Signal Spotlight: Scratchpad - Clearskies Pushes CRM Context Into ChatGPT, Claude and Gemini

Scratchpad has shipped Clearskies, which it describes as "the context layer for the AI you already use." The direction of travel is the important detail, and it is the opposite of a conventional AI bolt-on: rather than pulling a third-party model into Scratchpad, Clearskies pushes Scratchpad's deal, account and customer-interaction context outward into the external assistants a revenue team already has open - ChatGPT, Claude and Gemini.

This sits alongside, and is distinct from, Scratchpad's in-product Deal and Account Agent, which provides AI assistance natively inside Scratchpad. Clearskies is the outbound half of that strategy: it accepts that sellers and managers will do a growing share of their thinking in general-purpose chat tools, and tries to make sure the CRM context travels with them instead of being stranded behind another login.

The broader signal is a bet on distribution rather than containment. Where many vendors are trying to keep users inside their own interface, Scratchpad is betting that being the context supplier to whichever assistant wins is the more durable position. Evidence basis: two approved IndustryLens insights, both emerging trust tier and sourced from scratchpad.com, re-verified against the live site. Adoption, pricing and customer results for Clearskies are not established by these records.

The practical consequence is about where work happens, not about new analysis. Clearskies does not claim to derive fresh intelligence from unstructured conversation data; it makes existing Scratchpad context - deals, accounts, customer interactions - available inside the general-purpose assistants a team already uses. The value proposition is continuity: a manager asking Claude or ChatGPT about a deal gets an answer informed by CRM reality rather than a blank slate.

For revenue and marketing leaders, this reframes an AI-tooling decision that is often posed as all-or-nothing. If your team has already standardised on an external assistant, the question is no longer which vendor's chat UI to adopt, but which system feeds it trustworthy context. That is a quieter claim than automated deal intelligence, and it is the one the evidence actually supports.

Scratchpad's competitive bet is on being the context supplier rather than the destination. Vendors whose differentiation depends on keeping users inside a proprietary interface are exposed if buyers consolidate their AI usage into ChatGPT, Claude or Gemini; Scratchpad's position improves in that scenario, because its product becomes the thing that makes those assistants useful on revenue questions.

The obvious counter is that this is a thin moat if the assistant vendors or Salesforce itself ship equivalent connectors. What the record does not tell us is how deep the Clearskies integration goes, how many customers have enabled it, or whether it is priced separately - so treat this as a directional positioning read, not a demonstrated advantage. Both supporting insights are emerging tier and originate from Scratchpad's own site.

• Clearskies sends our CRM context into ChatGPT, Claude or Gemini - what data leaves our environment, under what retention terms, and can we scope it per team?
• Is Clearskies included in our plan or priced separately, and which assistants are supported in production rather than beta?
• Scratchpad publishes 455 admin hours reclaimed monthly at one customer - what was that customer's seat count and baseline, and what should we expect at our size?

1. This week: Establish which external AI assistants your revenue team already uses daily. That set, not a vendor roadmap, determines whether a context layer like Clearskies is relevant to you.
2. This month: Update competitive positioning to answer the context question directly - if a buyer uses ChatGPT or Claude, how does your product keep CRM context available there?
3. Next quarter: Decide your own stance: compete for the interface, or supply context to whichever assistant wins. Scratchpad has chosen the second; the choice should be deliberate rather than default.

The interesting thing about Clearskies is its modesty. Scratchpad is not claiming an autonomous agent that closes deals; it is claiming that the context a seller needs should follow them into whatever assistant they already use. That is a narrower promise than most AI messaging in this category, and narrower promises tend to survive contact with procurement better.

The strategic risk is commoditisation: context connectors are exactly the kind of capability that platform vendors absorb. Scratchpad's defence has to be depth and quality of the Salesforce-adjacent data it maintains, which is also its original product. Watch whether Clearskies gets priced and packaged as a distinct product - that would signal genuine conviction. We have no adoption or revenue data on it, and this note reflects only what Scratchpad currently publishes.

• Scratchpad Product Suite Features Clearskies AI Context Layer (scratchpad.com)