gobii

Human-reviewed sales automation

AI Sales Agent for Reviewed Prospecting and Account Research

Find, qualify, and research prospects from approved sources. Gobii delivers source-linked lead batches, account briefs, and outreach prep for seller review before anything moves downstream.

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View a Sample Output

Want to inspect the agent first? View the B2B Lead Research AI Employee template .

Best fit
Repeatable research and qualification work
Output
Source-linked leads, briefs, and exports
Control
Seller review before outreach decisions

Definition

What is an AI sales agent?

An AI sales agent performs multi-step sales work such as prospect research, qualification, enrichment, and outreach preparation. Gobii focuses on supervised execution: it gathers evidence and prepares review-ready outputs while sales teams retain control over targeting, messaging, and sending.

Last updated August 10, 2026.

At a glance

  • Gobii is best for prospecting, qualification, and account research.
  • Gobii produces source-linked, review-ready deliverables.
  • Gobii works with approved sources, sheets, exports, and downstream tools.
  • Gobii does not autonomously call prospects or send outreach in this workflow.

What it does

Give the AI teammate a defined sales workflow

The best AI sales agent work is concrete. Give Gobii the inputs, approved sources, output format, schedule, and review points. The agent handles the repetitive browser and data work around your pipeline.

Prospecting

Turn ICP criteria into recurring searches across approved sources. Collect accounts and contacts that look like a match.

Qualification

Compare each lead against target industries, roles, company size, geography, tech stack, funding signals, and disqualifiers.

Account research

Prepare account briefs with source links, company context, recent signals, decision-maker notes, and why each prospect may matter.

Outreach prep

Draft talking points and first-pass messages. Sellers can edit, approve, reject, or move them into a sales engagement tool.

Buying guide

Which type of AI sales agent should you buy?

Different products use the same label. Start with the job: CRM upkeep, outbound volume, calls, or source-linked research a seller can review before anything reaches a buyer.

Four common AI agent for sales categories, compared by job and operating model.
Agent category Best for Typical execution How Gobii differs
CRM-native agents Record updates, activity summaries, account scoring, and CRM assistance. Works mainly inside Salesforce, HubSpot, or another system of record. Gobii prepares source-linked research and review-ready fields before CRM or CSV handoff.
Autonomous or outbound SDR agents High-volume prospecting, sequencing, and automated outreach. An AI SDR may identify contacts, draft messages, and send through configured channels. Gobii is an AI sales assistant for reviewed research and outreach prep, not unreviewed auto-sending.
Voice and calling agents Phone qualification, call routing, meeting booking, or scripted follow-up. Places or receives calls through a telephony system. This Gobii workflow prepares call briefs and handoff data; it does not autonomously call prospects.
Research workflow agents Prospecting, enrichment, account briefs, sheets, and source-linked deliverables. A sales research agent completes adaptive, multi-step work across approved sources. Gobii's B2B Lead Research workflow starts here and preserves seller review before consequential outreach decisions.

Buyer comparison

Compare sales research and outreach tools by the job they own

No model is universally better. Gobii's distinction is repeatable prospecting and account-research work with seller review before consequential outreach decisions.

Gobii compared with adjacent sales research, data, sequencing, and human-service options.
Dimension Gobii supervised AI sales agent Autonomous AI SDR CRM-native agent Enrichment database Sales sequencing tool Human researcher
Primary job Prepare reviewed prospect and account research. Run outbound prospecting and outreach. Assist with CRM records and workflows. Supply company and contact data. Schedule and manage outreach sequences. Complete custom research and sales prep.
Source research Searches approved sources for the brief. Varies by vendor and connected data. Usually centered on CRM and connected records. Primarily searches its own dataset. Limited; usually consumes imported records. Can research sources selected in the brief.
Adaptive multi-step work Yes, within instructions, sources, and review points. Yes, commonly optimized around outbound execution. Often, within supported CRM tasks. Limited to search, filters, and enrichment operations. Usually rules, timing, branching, and templates. Yes, with judgment and manual follow-through.
Human approval Seller review is central before outreach decisions. Configurable; some products emphasize autonomy. Configurable by workflow and CRM permissions. A person selects and uses the returned data. Optional approvals depend on setup. The researcher or a separate reviewer checks the work.
Autonomous sending No, not in this reviewed prospecting workflow. Commonly a core capability. Possible in some connected workflows. No. Yes, once a sequence is activated. Only when sending is part of the assignment.
Evidence or source links Source links and fit notes are part of the deliverable. Varies by product and output. Depends on the underlying CRM fields and integrations. May show provider data, confidence, or provenance fields. Not usually the primary output. Can provide links and notes when required.
Typical handoff Reviewed batch, brief, sheet, CSV, or webhook output. Sequence activity, replies, meetings, or CRM updates. Updated CRM records, scores, tasks, or summaries. Enriched records, lists, or exported fields. Sent messages, tasks, replies, and engagement data. Spreadsheet, report, CRM update, or briefing document.
Best fit Teams that want an AI prospecting agent with traceable, review-ready work. Teams prioritizing outbound volume and automated execution. Teams whose work and data already live in one CRM. Teams that mainly need searchable contact or company data. Teams with approved records and messaging ready to send. High-context, one-off, sensitive, or highly ambiguous research.
Main limitation Requires a clear brief and human review; contact data may still need verification. Greater autonomy can increase control, quality, and compliance risk. May be constrained by CRM data and supported actions. Static data does not complete the surrounding research workflow. Does not replace prospect research or data quality checks. Can be slower to scale and harder to standardize across repeated runs.

Evaluation checklist

How to evaluate an AI sales agent

Evaluate the first reviewed output and the operating controls, not only a feature list or polished demo.

Questions to use when testing an AI SDR, AI lead-generation agent, or account-research automation workflow.
Check What to inspect
Source freshnessCan you see when the underlying page or record was published, updated, or retrieved?
Evidence traceabilityDoes each material claim or fit note retain a source URL or record reference?
ICP controls and disqualifiersCan the workflow enforce titles, segments, exclusions, negative examples, and must-have criteria?
Permission scopeCan access stay limited to the sources, files, contacts, tools, and actions the workflow needs?
Human approval pointsCan a seller review targeting, evidence, contact data, messaging, and the handoff before outreach?
Contact-data verificationDoes the workflow distinguish discovered data from data that has been independently verified?
CRM and CSV handoffCan approved output move downstream with stable fields, source links, reviewer status, and notes intact?
Failure and escalation behaviorDoes the agent flag blocked sources, missing evidence, ambiguity, and tasks that require a person?
Usage or pricing modelIs cost tied to seats, records, tasks, messages, or execution, and can the team cap early usage?
Time to first reviewed outputHow much setup is required before a seller can inspect a real batch for a narrow brief?
Reviewer feedbackCan accepted and rejected examples refine sources, criteria, disqualifiers, and output format?

Workflow ownership

Use an AI sales employee where repetition slows the team down

Gobii is not a black-box replacement for sales judgment. It is a persistent AI teammate for research and preparation, so sellers can spend more time where context and trust matter.

Inputs

ICP criteria, priority accounts, connected sheets, source lists, CRM exports, market notes, and past lead feedback.

Actions

Search sources, inspect pages, enrich records, compare fit, summarize findings, and prepare review-ready outputs.

Outputs

Lead lists, account briefs, source URLs, fit notes, enrichment fields, outreach drafts, and handoff summaries.

Review

Sales or RevOps checks fit, verifies sources, edits messaging, and decides which prospects should enter active outreach.

Where it fits

Automate the middle of sales research, not the human relationship

Sales teams already have databases, CRMs, sequencing tools, and call tools. The slow work sits between them: finding context, checking fit, cleaning records, and keeping handoffs current. That is where an AI sales agent helps.

Sales research is one example of a broader operating model. See how Gobii deploys AI employees across supervised business workflows.

CRM handoff

Prepare reviewed fields, fit notes, source URLs, and account context for Salesforce, HubSpot, or CRM-ready imports.

Sheets and CSV

Write structured batches to Google Sheets or CSV. Include reviewer status, disqualifiers, enrichment fields, and source links.

Webhooks

Trigger work from form fills, CRM lists, meeting events, or scheduled checks, then send approved results downstream.

Sales engagement

Prepare talking points and drafts for Outreach, Salesloft, Apollo, or similar tools. The team still controls send decisions.

Anonymized workflow proof

Example: 10 Role-Matched Marketing Prospects

This compact case note shows how B2B Lead Research turns a focused brief into a source-linked batch for seller review without publishing live contact or account details.

View the Research Template
Anonymized AI sales agent output showing a source-linked, role-matched prospect batch for seller review
Anonymized B2B lead-research output showing the structure of a reviewed prospect batch; names and live contact details are not published.
Compact case note

Reviewed prospecting workflow and output

Brief
Find 10 marketing decision makers in a focused regional segment
Process
  • Search approved sources
  • Compare two lead sources
  • Identify overlapping accounts
  • Flag where contact information appears stronger
  • Record source evidence and review status
Output
  • Role-matched prospects
  • Source URLs
  • Fit notes
  • Available enrichment fields
  • Reviewer status
  • Suggested verification and export steps
Handoff
The reviewer can deduplicate records, verify email or phone data, export a CSV, or narrow the segment for another run.
Limitation
This anonymized example demonstrates the workflow and output structure. It is not a guarantee of lead volume, data completeness, or conversion performance.

First reviewed batch

What happens on your first run?

Start with one narrow segment and a deliverable your seller can inspect. Use that review to refine the next run.

Step 1

Define the brief

Specify industries, titles, geography, company size, signals, exclusions, and examples of good leads.

Step 2

Choose sources

Select approved websites, company lists, documents, sheets, CRM exports, or webhook-provided inputs.

Step 3

Review the batch

Inspect source links, fit notes, enrichment fields, disqualifiers, and suggested outreach angles.

Step 4

Decide the handoff

Approve, reject, revise, export, verify contact data, or narrow the next run.

Workflow controls and handoffs

Review the operating details before you deploy

Gobii's documentation explains approval points, scoped app access, selected-file access for Google Sheets, and webhook-triggered handoffs.

Page materially reviewed and updated August 10, 2026.

Verified Gobii resources

Questions buyers ask

AI sales agent FAQ

Review these questions before putting an AI sales agent into a live pipeline workflow.

View Gobii pricing
What does an AI sales agent do?

An AI sales agent handles repeatable sales tasks: prospecting, lead qualification, account research, enrichment, outreach prep, and pipeline handoff. In Gobii, the agent prepares source-linked work for a sales team to review.

How much does an AI sales agent cost?

AI sales agent cost depends on the plan, usage volume, data sources, integrations, and review needs. Gobii publishes plan pricing on its pricing page, so teams can start with the B2B Lead Research AI Employee and scale once output quality is proven.

Can an AI sales agent replace an SDR?

An AI sales agent should not replace seller judgment, relationships, or compliance review. Use Gobii as an AI sales employee for repetitive research and prep while humans own targeting, messaging, and outreach decisions.

What tools should an AI sales agent connect to?

Useful AI sales agent connections include approved web sources, CRM workflows, Google Sheets or CSV exports, webhooks, documents, and sales engagement tools. The right setup depends on where your team keeps ICP criteria, lead data, source links, review notes, and approved outreach steps.

Can an AI sales agent make calls or use WhatsApp?

This Gobii AI sales agent page focuses on research, enrichment, handoff, and outreach prep, not autonomous calling or WhatsApp outreach. Gobii can prepare call briefs, follow-up notes, and handoff data. Calling or WhatsApp execution should run through approved downstream tools.

Ready to test the workflow?

Start with a reviewed prospecting agent

Give Gobii a sales workflow with clear criteria, approved sources, and a human review point. The agent prepares the pipeline work. Your team decides what moves forward.

View a Sample Output