The research agent your AI tools
wish they were.
Deep, in every sense. 100+ links researched per contact, mapped to your business, your service, your USPs. The depth and the seller-side context Claude, ChatGPT, and Gemini don't have on their own.
- Links scanned117 sources — LinkedIn, news, funding, blogs, podcasts, GitHub
- Recent signalPartner-led growth thread · 4.2K reactions · posted yesterday
- Company depth$18M Series B · 11 SDR roles open · HubSpot stack
- Mapped to your USPsHyper-personalization · stack consolidation match found
Your business is the other half of every research.
Public LLMs research one side: the prospect. Salesgear's agent also reads you — your customers, case studies, testimonials, value props, ICP, competitor mapping, even your tone. Every research run is a match between two sides. Set it once. Used forever.
Salesgear · Deep Research
One profile. Every rep. Every research.- Company essentialsName · website · locationProduct positioning + summary
- CustomersLogo-tagged · 12 activePendo · Linear · Ramp · Lattice · Notion · +7
- Case studies5 documented outcomesIndexed by industry, motion, persona
- Testimonials8 customer quotesTagged by role: Founder · VP Sales · Head SDR · IC
- Value propsRanked, 4 anglesHyper-personalization · stack consolidation · AI research · founder-led
- Ideal Customer ProfileCompany size · industry · geoBuyer roles · maturity · funding stage
- Competitor mappingOutreach · Salesloft · Apollo · Lemlist · SmartleadPositioning angle per competitor
- Tone + sales motionVoice samples · 3 emailsPLG · founder-led · enterprise
Jordan Mitchell · Founder, RidgePoint
Live research run · 117 sources scanned · 4 matches picked- From: CustomersPulled Pendo as the matched logo — same B2B SaaS GTM stage as RidgePoint.
- From: Case studiesSurfaced the partner-led GTM case study because Jordan's thread was on that exact topic.
- From: TestimonialsPicked the founder-to-founder quote (not the enterprise one) because Jordan is a founder.
- From: Value propsLed with 'stack consolidation' over 'AI research' — RidgePoint's tech stack indicates Outreach + Apollo + Lemlist sprawl.
Empowering 1,000+ sales leadersand representatives to build a stronger sales pipeline.
Side-by-side, where public LLMs run out of fuel.
The reasoning is the easy part now — public models are getting better at it weekly. The hard part is the data and the context to reason about. That's where Salesgear Deep Research wins.
Training cutoff — months or years stale. Web search is slow and shallow.
Live signals every research run. Yesterday's LinkedIn post, last week's funding, this morning's hire.
One-sided — researches the prospect, ignores your business.
Bilateral — prospect + your seller profile (customers, case studies, value props, ICP).
A few public profile fields, training-data summaries. Often surface-level.
100+ links scanned, 14 signal types pulled, structured and ranked per contact.
Hallucinated or implicit. No reliable citation.
Every signal traces to its source — LinkedIn post URL, news article, funding announcement, podcast.
Forgets the prospect the moment the chat ends.
Persisted per contact. Follow-up Tuesday uses Friday's research + Saturday's reply.
Zero knowledge of your customers, case studies, or USPs. Re-paste every prompt.
Seller profile is plugged in. Pendo, Cleartrip, your value-prop ranking — all part of the research.
Deep isn't a marketing word. It's the spec.
Every research run pulls from 8 categories of signal — public, structured, attributed. No hallucinated sources. No "trust me" answers. Each result traces to the link it came from.
- Role + tenure
- Skills + endorsements
- Education + certifications
- Volunteer + interests
- Posts authored
- Comments + reactions
- Articles published
- Shared content
- Funding rounds
- Hiring spikes
- Product launches
- Tech-stack changes
- Press releases
- Industry coverage
- Awards + recognitions
- Acquisitions + partnerships
- Podcast appearances
- Speaking + panels
- Webinar sessions
- YouTube interviews
- Tech-stack tells
- G2/Capterra reviews
- Vendor RFPs
- Recent renewals
- Role KPIs
- Common pain points
- Decision authority
- Buyer vs. influencer
- Customer matches
- Case-study matches
- Testimonial matches
- Value-prop ranking
All public-data sources cited. Source-attribution surfaced inside the research output — every signal links back to where it came from.
One click. Inside the tools you already use.
Deep Research lives where your work lives — a side panel inside LinkedIn, your inbox, and every major CRM. Hover, click, get a full research brief in seconds. No tab-switching. No re-pasting URLs into ChatGPT.
The objections before they're objections.
The honest answers to what every buyer asks before booking a demo.
We use frontier LLMs (including Claude and GPT models) for reasoning and copy generation. The differentiator isn't the LLM — it's the data layer underneath: 100+ link scans per contact, live signals across LinkedIn / news / funding / hiring, and your seller profile (customers, case studies, value props) bilateral-mapped into every research run. Public LLMs by themselves can't do any of that.
Drop a LinkedIn URL. Get the brief in 60 seconds.
Paste any prospect's LinkedIn profile — we'll run the agent live and email you the full research brief. Free for the first 5 contacts. No credit card.
- First 5 contacts free
- No credit card