AI RESEARCH AGENT // BUILT FOR PRODUCT TEAMS

Research that takes a week. Done in an hour.

Vector reads your competitors, summarizes 200 customer interviews, maps your market — and gives you a sourced brief. While your team is still scoping the Notion doc.

Trusted by 800+ product teams · No credit card · Live in 2 minutes
vector — research session THINKING
> compare pricing & positioning: Linear, Notion, Attio, Clay
▸ planning research — 4 competitors, 3 axes
▸ reading linear.app/pricing
▸ reading notion.so/pricing
▸ cross-referencing 200 call transcripts
▸ synthesizing positioning matrix…
🔗 linear.app 🔗 notion.so 🔗 g2.com/attio brief ready
Trusted by the teams shipping the products you use
Linear Notion Figma Webflow Vercel Posthog Cursor Raycast Anthropic OpenAI Mixpanel Stripe Linear Notion Figma Webflow Vercel Posthog Cursor Raycast Anthropic OpenAI Mixpanel Stripe
The status quo

Your team is doing research wrong.

6 hours of tab-switching to compare 4 competitors
200 customer interview recordings nobody listens to
Half your roadmap decisions based on the loudest opinion in the room
01 // Input

Drop a brief. Get a research plan.

Paste a question, a competitor URL, or a folder of call recordings. Vector breaks it into a research plan and shows its sources before it starts.

02 // Execution

Sees the web. Reads your data. Cites every claim.

Vector runs across the web, your Notion, your call recordings — pulling structured findings with citation links. Real sources, never hallucinated.

03 // Output

A brief, not a wall of text.

Vector outputs a one-page decision brief: TL;DR, evidence, risks, next steps. Shareable, exportable, editable. Your team meeting ends 30 minutes earlier.

01/02/03
NEW RESEARCH
Compare Linear, Notion, Attio & Clay on pricing, positioning and feature gaps. Pull in our last 200 sales calls.
Research plan · 5 steps
Scrape 4 pricing pages
Map positioning from homepages + G2
Transcribe + cluster 200 calls
Build feature-gap matrix
Draft decision brief
RUNNING · 3 SOURCES
WEBLinear charges $14/user — no usage caps🔗 linear.app
NOTIONInternal: "pricing confusion" in 38 calls🔗 q3-calls
CALLSTop ask: "self-serve onboarding" (×52)🔗 gong
cross-referencing positioning…
DECISION BRIEFShareExport

Competitive teardown: Linear vs. field

TL;DR

Pricing is at parity; our wedge is self-serve onboarding. 52 calls name it as the top unmet need.

Evidence
3 sources, 11 citations
Risk
Attio shipping similar in Q4
Next step
Prototype self-serve onboarding — validate with 5 trial accounts.
What teams run

Four questions Vector answers before lunch.

Use case 01

Competitive teardown

Map 8 competitors across pricing, positioning, and feature gaps. In an hour.

Use case 02

Customer interviews

Summarize 200 calls. Find the pattern your team missed.

Use case 03

Market sizing

TAM/SAM/SOM with cited sources. Investor-deck ready.

Use case 04

Roadmap research

Validate three feature bets in parallel. Ship the right one.

40×
Research faster
800+
Teams using Vector
2.4M
Sources cited this month
My team killed two weekly meetings after we deployed Vector. We just read the briefs.
— Maya Chen, Head of Product at Loop // SERIES B SAAS
Pricing

Priced like software. Worth a research team.

Solo
$39/ month

For the founder doing it all themselves.

50 research briefs / month
Web + document sources
Citation links on every claim
Export to PDF & Notion
Start Solo
Most popular
Team
$99/ month

For the product team that ships on evidence.

Everything in Solo
Unlimited research briefs
Call recording analysis (Gong, Zoom)
Shared team workspace
Slack & Notion integration
Start Team
Scale
$299/ month

For orgs running research as a system.

Everything in Team
SSO & SCIM provisioning
Custom data connectors
Audit logs & data residency
Dedicated success manager
Talk to sales
FAQ

Questions, answered.

How is Vector different from ChatGPT? +

ChatGPT answers from memory. Vector runs an actual research process — it plans, browses live sources, reads your private data, and returns a structured brief where every claim links to where it came from. No hallucinated citations.

Where does Vector get its sources? +

The live web, review sites like G2, and any data you connect — Notion, Google Drive, call recordings, and more. Every finding carries a link back to its origin so your team can verify in one click.

Can I plug in our internal docs and calls? +

Yes. Connect Notion, Google Drive, Gong, and Zoom on Team and above. Vector transcribes and clusters call recordings, then weaves their findings into the same brief as your web research.

What models power Vector? +

Vector routes across frontier models from Anthropic and OpenAI, picking the right one for each step — fast models for retrieval, reasoning models for synthesis. You never manage models; Vector does.

Is my data private? +

Always. Your data is never used to train models, is encrypted in transit and at rest, and is yours to delete anytime. Scale adds SSO, audit logs, and data residency controls.

Can I cancel anytime? +

Yes — monthly plans cancel in one click, no calls, no retention games. Your briefs stay exportable even after you downgrade.

Stop reading. Start shipping.

Your first research brief is free. No card. Two minutes.

Start free research