AI prospecting comparison
12 min read
Leama vs Gobii: a prospecting agent or a general-purpose agent platform?
Leama editorial team
Reviewed 24 August 2026
Choose Leama when you want a ready-made B2B prospecting workflow with ICP rules, company qualification, buyer discovery, reviewable records and delivery. Choose Gobii when you want a general persistent-agent platform that can research the web, run scheduled tasks, use tools and apps, expose an API, and support custom workflows—including sales research. Gobii offers more flexibility and an MIT-licensed self-hosting path; Leama removes more design work by deciding what a prospecting record, qualification gate and delivery flow should look like. Gobii Pro is $50 per month and Scale is $250; Leama Grow is $20 and Scale is $99. The deciding question is whether you want to operate a prospecting product or build and supervise your own agent workflow.
Choose Leama if: Leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
Choose Gobii if: Gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
Editorial disclosure: Leama publishes this comparison. We did not run a paid hands-on product test. Product and pricing facts come from the official public sources listed below and were reviewed on 24 August 2026.
- Best fit. Leama: Founders, agencies, consultants, and sales teams that want a smaller, reviewable stream of qualified B2B prospects. Gobii: Teams that want configurable persistent agents for sales, recruiting, operations, research and custom browser workflows.
- Prospecting method. Leama: Uses a saved target profile, live web exploration, shared-registry candidates, company research, qualification rules, a fit threshold, and accepted or rejected prospect records. Gobii: A sales agent can be configured with a charter, sources, tools, files, schedule, outputs, review points and handoffs; a B2B lead-research template is available.
- Live research. Leama: Visits and researches current company websites and stores source URLs with prospect records. Gobii: Yes, through browser automation and source inspection.
- Natural-language ICP. Leama: Users describe their ideal customer, buyer roles, locations, requirements, preferences, and exclusions. Gobii: Yes, as part of the agent brief.
- Qualification. Leama: Positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted. Gobii: Sales templates can qualify, record disqualifiers, add fit notes and source URLs, with human review.
- Scoring. Leama: Fit scores and written fit reasoning are stored with prospect records. Gobii: ICP scores are shown in sales examples; scoring depends on configured workflow.
As of August 2026, this comparison describes the vendors' public product contracts rather than guaranteed outcomes. Availability, match rates, deliverability and research quality vary by market and source evidence.
Leama vs Gobii at a glance
Leama and Gobii are not direct substitutes at the same abstraction level. One is a vertical application; the other is an agent platform. Comparing feature checkboxes without accounting for workflow design and maintenance would mislead the buyer.
Leama is built for founders, agencies, consultants, and sales teams that want a smaller, reviewable stream of qualified B2B prospects.
Gobii is built for teams that want configurable persistent agents for sales, recruiting, operations, research and custom browser workflows.
Leama's prospecting method: Uses a saved target profile, live web exploration, shared-registry candidates, company research, qualification rules, a fit threshold, and accepted or rejected prospect records.
Gobii's prospecting method: A sales agent can be configured with a charter, sources, tools, files, schedule, outputs, review points and handoffs; a B2B lead-research template is available.
Qualification differs too. Leama documents positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted. Gobii documents sales templates can qualify, record disqualifiers, add fit notes and source URLs, with human review.
The useful decision is not which page contains more feature labels. It is which workflow best removes the buyer's actual prospecting bottleneck.
What each product is
Leama is an AI prospecting agent built around an ideal customer profile. A user describes the companies, buyer roles, locations, observable requirements, softer preferences and exclusions that matter.
The agent explores public websites and other market sources, evaluates candidates, records source URLs and assigns fit reasoning before a company becomes an accepted prospect. Contact discovery follows company qualification.
Paid tiers add more target profiles, recurring schedules, delivery methods and outreach campaign capacity. Leama remains review-first: source data can become stale, roles can change and a qualified company is not permission to contact a person.
Gobii positions itself this way: A general persistent AI employee and browser-agent platform with templates, schedules, tools, apps, approvals, channels, API access and self-hosting.
Its public materials describe its data and discovery model as follows: User-approved websites, company lists, documents, sheets, CRM exports, browser research, connected apps and webhook inputs.
For scoring, enrichment and outreach, Gobii documents iCP scores are shown in sales examples; scoring depends on configured workflow. Contact enrichment: The sales workflow can enrich records and prepare handoffs; external verification can be a review step. Outreach: The supervised sales guide focuses on outreach preparation and human-reviewed handoff, not autonomous sending in that workflow.
Key differences between Leama and Gobii
Both products can contribute to prospecting, but the most important differences change who owns qualification logic, where evidence is reviewed and how accepted companies move toward outreach.
The first four differences are the clearest starting point for a controlled evaluation:
- Abstraction: Leama — A purpose-built prospecting application with a defined data and review model. Gobii — A general platform for persistent AI agents, tools, apps and scheduled tasks. Why it matters: Gobii maximizes adaptability; Leama minimizes workflow construction.
- Qualification: Leama — Requirements, preferences, exclusions and a threshold are product concepts. Gobii — Qualification logic can be expressed in a custom agent task, but no identical built-in prospect gate is assumed. Why it matters: Leama makes the sales semantics native rather than configured.
- Sales workflow: Leama — Research, buyer discovery, records, delivery and optional campaigns are connected. Gobii — Official sales guidance shows supervised, source-linked research with human handoff. Why it matters: Gobii can support sales research without pretending every agent action should be autonomous.
- Control model: Leama — Users control a bounded prospecting profile and review outputs. Gobii — Developers and operators can choose tools, apps, approvals, schedules and API behavior. Why it matters: Gobii offers more system control, with more responsibility.
A complete evaluation should also cover the remaining product differences and the operating cost around them:
- Deployment: Leama — Leama is a managed product operated by Prospactive. Gobii — Gobii offers a hosted service and an MIT-licensed self-hosting option. Why it matters: Self-hosting can matter for customization and data control, but adds operations work.
- Pricing: Leama — Free starter allocation; $20 Grow; $99 Scale. Gobii — $50 Pro; $250 Scale; $50 per seat Team, plus a seven-day trial. Why it matters: Compare required build and maintenance time, not subscription price alone.
- Review the evidence and reasoning attached to accepted records.
- Measure reviewer time as well as exported record count.
- Price every required plan, module, credit and seat.
- Check whether the workflow can reject weak matches without silently loosening the brief.
- Keep final targeting, suppression and outreach decisions under human control.
Important qualification nuance: Gobii’s official sales example emphasizes supervised, source-linked work and human handoff. It should not be described as an unsupervised email-sending machine. Conversely, a custom agent can be built to do many things, but possibility is not the same as a supported, production-ready prospecting contract.
Contact data and outreach should be scored separately from company fit. A product can be strong in one layer and average in another.
Vendor-published coverage and accuracy figures are claims unless an independent source is explicitly named.
Use one frozen ICP and one acceptance definition before comparing results. Otherwise the test measures changing instructions rather than product behavior.
Where each product is better
Where Leama is better: Leama wins for a business user who wants an opinionated prospecting outcome without designing an agent. The qualification concepts are already named, records have a consistent structure, and delivery fits a sales workflow. That can lower setup risk and make ownership clearer for a small team.
Leama's strongest documented advantage in this comparison is positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted.
Where Gobii is better: Gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core. The same platform can support workflows far outside prospecting. That flexibility is meaningful when Leama’s fixed product boundary would be too constraining.
Gobii's documented strengths include Flexible general-purpose agents, Persistent schedules, Human approval boundaries, API and MCP, and Open-source self-hosting.
Choose Leama when leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
That is the strongest case for Leama here: a smaller, defensible prospect set can be more valuable than the largest available export.
Choose Gobii when gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
That is the strongest case for Gobii: its broader or more specialized capability may justify a different workflow, price or implementation burden.
Neither recommendation is universal. It is tied to a named operating problem and the buyer who owns it.
Test the recommendation with current records from the market the team actually serves.
A practical example
A sales operations engineer might want an agent that monitors product launches, searches several sources, writes findings into an internal system, requests approval and triggers a custom follow-up. Gobii’s persistent tasks, tools, schedules and API are designed for that kind of adaptable workflow. A sales manager who simply wants qualified accounts with buyer context does not necessarily want to design or maintain an agent. Leama supplies the profile, acceptance state, record format and delivery path. Gobii gives the engineer more freedom; Leama gives the manager fewer architectural decisions.
For a fair trial, give both products the same target-market brief and freeze the acceptance definition before reviewing results.
Count genuinely new companies, current supporting evidence, human-approved matches, useful decision-makers and reviewer minutes.
Company fit, contact accuracy and outreach performance are separate outcomes. Record each one independently.
If the workflow includes email, preserve suppression lists, review the final recipient and message, and monitor domain health independently of the prospecting score.
The winning workflow is the one the team can inspect, correct and repeat without creating more cleanup than it removes.
Pricing compared
Pricing checked: 24 August 2026. Leama's current public offer is $0 Free with 50 monthly prospect credits; Grow $20/month; Scale $99/month.
Gobii currently publishes: Pro $50/month, Scale $250/month, Team $50/seat/month. The core is also MIT-licensed for self-hosting.
Leama free-plan position: Yes. New accounts receive 50 prospect credits each calendar month, with no card required.
Gobii free or trial position: A seven-day free trial is offered on Pro and Scale.
Do not divide a subscription by headline credits and call it a direct price-per-prospect comparison. Vendors meter different searches, data fields, enrichments, verified emails, AI actions, accepted prospects and sending capacity.
Estimate the complete workflow, including separate modules, provider charges, required seats and the time needed to review or maintain the system.
Recheck both official pricing pages before purchasing. This article does not estimate hidden pricing or promise future plan availability.
How to choose
Start with the failure the team is trying to remove. If weak companies reach sales, prioritize qualification controls and evidence. If the account list is sound but contacts are missing, prioritize enrichment and verification.
Who should choose Leama: teams should choose Leama when leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
Who should choose Gobii: teams should choose Gobii when gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
Define what makes a company accepted before either vendor returns results.
- Use the same geography, buyer roles, batch size and review window.
- Track evidence freshness, false positives, missing contacts and review minutes.
- Calculate the cost of every required plan, module, provider and seat.
- Inspect what can be corrected, repeated and audited after the first run.
- Choose the smaller system unless broader capability has a named owner and measurable use.
Useful Leama paths: /agent, /pricing, /help/understanding-qualification, /help/understanding-the-prospects-page, /help/delivery-settings and /help/outreach-campaigns.
Verdict
Choose Leama when the desired output is already clear: qualified B2B prospect records ready for review and delivery. Choose Gobii when the desired workflow is unusual enough that you need a programmable persistent agent and have someone to own its tools, safeguards and maintenance. The real cost comparison must include implementation and supervision, not just monthly plans.
The recommendation is specific: use Gobii for the operating strength described above, and use Leama when qualification before volume is the primary requirement.
Leama is not trying to provide the biggest possible database. It is designed to prevent weak prospects from reaching outreach in the first place.
Describe your ideal customer and use 50 prospect credits each calendar month whenever you are ready. No credit card is required.
Start at https://app.leama.ai/sign-up and use the first records to refine the brief before increasing volume.
The customer retains responsibility for final accuracy, suppression, message and compliance decisions.
Frequently asked questions and sources
Is Gobii specifically a prospecting tool? No. It is a general persistent-agent platform, although its official materials include supervised sales-research use cases.
Can Gobii be self-hosted? The core is MIT-licensed and Gobii documents a self-hosting path. That adds operational responsibility.
- Which requires less setup for prospecting? Leama. Its ICP, qualification, record and delivery workflow is already defined.
- Which is more customizable? Gobii. Its tools, apps, schedules, API and open-source core support a wider set of custom agent workflows.
- Official source: https://gobii.ai/
- Official source: https://gobii.ai/pricing/
- Official source: https://gobii.ai/solutions/sales/ai-sales-agent/
- Official source: https://gobii.ai/solutions/sales/
- Official source: https://docs.gobii.ai/
Research method: only official Leama and Gobii pages were used for product and pricing facts. Unknowns remain explicit, and the article does not claim independent performance testing.
Features and pricing were checked as of August 2026. Public product pages can change after publication.
Related comparisons: /blog/leama-vs-wuobly, /blog/leama-vs-clay, /blog/leama-vs-tario. Full comparison hub: /blog/best-ai-prospecting-tools.
AI prospecting comparison
12 min read
Leama vs Gobii: a prospecting agent or a general-purpose agent platform?
Leama editorial team
Reviewed 24 August 2026
Choose Leama when you want a ready-made B2B prospecting workflow with ICP rules, company qualification, buyer discovery, reviewable records and delivery. Choose Gobii when you want a general persistent-agent platform that can research the web, run scheduled tasks, use tools and apps, expose an API, and support custom workflows—including sales research. Gobii offers more flexibility and an MIT-licensed self-hosting path; Leama removes more design work by deciding what a prospecting record, qualification gate and delivery flow should look like. Gobii Pro is $50 per month and Scale is $250; Leama Grow is $20 and Scale is $99. The deciding question is whether you want to operate a prospecting product or build and supervise your own agent workflow.
Choose Leama if: Leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
Choose Gobii if: Gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
Editorial disclosure: Leama publishes this comparison. We did not run a paid hands-on product test. Product and pricing facts come from the official public sources listed below and were reviewed on 24 August 2026.
- Best fit. Leama: Founders, agencies, consultants, and sales teams that want a smaller, reviewable stream of qualified B2B prospects. Gobii: Teams that want configurable persistent agents for sales, recruiting, operations, research and custom browser workflows.
- Prospecting method. Leama: Uses a saved target profile, live web exploration, shared-registry candidates, company research, qualification rules, a fit threshold, and accepted or rejected prospect records. Gobii: A sales agent can be configured with a charter, sources, tools, files, schedule, outputs, review points and handoffs; a B2B lead-research template is available.
- Live research. Leama: Visits and researches current company websites and stores source URLs with prospect records. Gobii: Yes, through browser automation and source inspection.
- Natural-language ICP. Leama: Users describe their ideal customer, buyer roles, locations, requirements, preferences, and exclusions. Gobii: Yes, as part of the agent brief.
- Qualification. Leama: Positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted. Gobii: Sales templates can qualify, record disqualifiers, add fit notes and source URLs, with human review.
- Scoring. Leama: Fit scores and written fit reasoning are stored with prospect records. Gobii: ICP scores are shown in sales examples; scoring depends on configured workflow.
As of August 2026, this comparison describes the vendors' public product contracts rather than guaranteed outcomes. Availability, match rates, deliverability and research quality vary by market and source evidence.
Leama vs Gobii at a glance
Leama and Gobii are not direct substitutes at the same abstraction level. One is a vertical application; the other is an agent platform. Comparing feature checkboxes without accounting for workflow design and maintenance would mislead the buyer.
Leama is built for founders, agencies, consultants, and sales teams that want a smaller, reviewable stream of qualified B2B prospects.
Gobii is built for teams that want configurable persistent agents for sales, recruiting, operations, research and custom browser workflows.
Leama's prospecting method: Uses a saved target profile, live web exploration, shared-registry candidates, company research, qualification rules, a fit threshold, and accepted or rejected prospect records.
Gobii's prospecting method: A sales agent can be configured with a charter, sources, tools, files, schedule, outputs, review points and handoffs; a B2B lead-research template is available.
Qualification differs too. Leama documents positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted. Gobii documents sales templates can qualify, record disqualifiers, add fit notes and source URLs, with human review.
The useful decision is not which page contains more feature labels. It is which workflow best removes the buyer's actual prospecting bottleneck.
What each product is
Leama is an AI prospecting agent built around an ideal customer profile. A user describes the companies, buyer roles, locations, observable requirements, softer preferences and exclusions that matter.
The agent explores public websites and other market sources, evaluates candidates, records source URLs and assigns fit reasoning before a company becomes an accepted prospect. Contact discovery follows company qualification.
Paid tiers add more target profiles, recurring schedules, delivery methods and outreach campaign capacity. Leama remains review-first: source data can become stale, roles can change and a qualified company is not permission to contact a person.
Gobii positions itself this way: A general persistent AI employee and browser-agent platform with templates, schedules, tools, apps, approvals, channels, API access and self-hosting.
Its public materials describe its data and discovery model as follows: User-approved websites, company lists, documents, sheets, CRM exports, browser research, connected apps and webhook inputs.
For scoring, enrichment and outreach, Gobii documents iCP scores are shown in sales examples; scoring depends on configured workflow. Contact enrichment: The sales workflow can enrich records and prepare handoffs; external verification can be a review step. Outreach: The supervised sales guide focuses on outreach preparation and human-reviewed handoff, not autonomous sending in that workflow.
Key differences between Leama and Gobii
Both products can contribute to prospecting, but the most important differences change who owns qualification logic, where evidence is reviewed and how accepted companies move toward outreach.
The first four differences are the clearest starting point for a controlled evaluation:
- Abstraction: Leama — A purpose-built prospecting application with a defined data and review model. Gobii — A general platform for persistent AI agents, tools, apps and scheduled tasks. Why it matters: Gobii maximizes adaptability; Leama minimizes workflow construction.
- Qualification: Leama — Requirements, preferences, exclusions and a threshold are product concepts. Gobii — Qualification logic can be expressed in a custom agent task, but no identical built-in prospect gate is assumed. Why it matters: Leama makes the sales semantics native rather than configured.
- Sales workflow: Leama — Research, buyer discovery, records, delivery and optional campaigns are connected. Gobii — Official sales guidance shows supervised, source-linked research with human handoff. Why it matters: Gobii can support sales research without pretending every agent action should be autonomous.
- Control model: Leama — Users control a bounded prospecting profile and review outputs. Gobii — Developers and operators can choose tools, apps, approvals, schedules and API behavior. Why it matters: Gobii offers more system control, with more responsibility.
A complete evaluation should also cover the remaining product differences and the operating cost around them:
- Deployment: Leama — Leama is a managed product operated by Prospactive. Gobii — Gobii offers a hosted service and an MIT-licensed self-hosting option. Why it matters: Self-hosting can matter for customization and data control, but adds operations work.
- Pricing: Leama — Free starter allocation; $20 Grow; $99 Scale. Gobii — $50 Pro; $250 Scale; $50 per seat Team, plus a seven-day trial. Why it matters: Compare required build and maintenance time, not subscription price alone.
- Review the evidence and reasoning attached to accepted records.
- Measure reviewer time as well as exported record count.
- Price every required plan, module, credit and seat.
- Check whether the workflow can reject weak matches without silently loosening the brief.
- Keep final targeting, suppression and outreach decisions under human control.
Important qualification nuance: Gobii’s official sales example emphasizes supervised, source-linked work and human handoff. It should not be described as an unsupervised email-sending machine. Conversely, a custom agent can be built to do many things, but possibility is not the same as a supported, production-ready prospecting contract.
Contact data and outreach should be scored separately from company fit. A product can be strong in one layer and average in another.
Vendor-published coverage and accuracy figures are claims unless an independent source is explicitly named.
Use one frozen ICP and one acceptance definition before comparing results. Otherwise the test measures changing instructions rather than product behavior.
Where each product is better
Where Leama is better: Leama wins for a business user who wants an opinionated prospecting outcome without designing an agent. The qualification concepts are already named, records have a consistent structure, and delivery fits a sales workflow. That can lower setup risk and make ownership clearer for a small team.
Leama's strongest documented advantage in this comparison is positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted.
Where Gobii is better: Gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core. The same platform can support workflows far outside prospecting. That flexibility is meaningful when Leama’s fixed product boundary would be too constraining.
Gobii's documented strengths include Flexible general-purpose agents, Persistent schedules, Human approval boundaries, API and MCP, and Open-source self-hosting.
Choose Leama when leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
That is the strongest case for Leama here: a smaller, defensible prospect set can be more valuable than the largest available export.
Choose Gobii when gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
That is the strongest case for Gobii: its broader or more specialized capability may justify a different workflow, price or implementation burden.
Neither recommendation is universal. It is tied to a named operating problem and the buyer who owns it.
Test the recommendation with current records from the market the team actually serves.
A practical example
A sales operations engineer might want an agent that monitors product launches, searches several sources, writes findings into an internal system, requests approval and triggers a custom follow-up. Gobii’s persistent tasks, tools, schedules and API are designed for that kind of adaptable workflow. A sales manager who simply wants qualified accounts with buyer context does not necessarily want to design or maintain an agent. Leama supplies the profile, acceptance state, record format and delivery path. Gobii gives the engineer more freedom; Leama gives the manager fewer architectural decisions.
For a fair trial, give both products the same target-market brief and freeze the acceptance definition before reviewing results.
Count genuinely new companies, current supporting evidence, human-approved matches, useful decision-makers and reviewer minutes.
Company fit, contact accuracy and outreach performance are separate outcomes. Record each one independently.
If the workflow includes email, preserve suppression lists, review the final recipient and message, and monitor domain health independently of the prospecting score.
The winning workflow is the one the team can inspect, correct and repeat without creating more cleanup than it removes.
Pricing compared
Pricing checked: 24 August 2026. Leama's current public offer is $0 Free with 50 monthly prospect credits; Grow $20/month; Scale $99/month.
Gobii currently publishes: Pro $50/month, Scale $250/month, Team $50/seat/month. The core is also MIT-licensed for self-hosting.
Leama free-plan position: Yes. New accounts receive 50 prospect credits each calendar month, with no card required.
Gobii free or trial position: A seven-day free trial is offered on Pro and Scale.
Do not divide a subscription by headline credits and call it a direct price-per-prospect comparison. Vendors meter different searches, data fields, enrichments, verified emails, AI actions, accepted prospects and sending capacity.
Estimate the complete workflow, including separate modules, provider charges, required seats and the time needed to review or maintain the system.
Recheck both official pricing pages before purchasing. This article does not estimate hidden pricing or promise future plan availability.
How to choose
Start with the failure the team is trying to remove. If weak companies reach sales, prioritize qualification controls and evidence. If the account list is sound but contacts are missing, prioritize enrichment and verification.
Who should choose Leama: teams should choose Leama when leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
Who should choose Gobii: teams should choose Gobii when gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
Define what makes a company accepted before either vendor returns results.
- Use the same geography, buyer roles, batch size and review window.
- Track evidence freshness, false positives, missing contacts and review minutes.
- Calculate the cost of every required plan, module, provider and seat.
- Inspect what can be corrected, repeated and audited after the first run.
- Choose the smaller system unless broader capability has a named owner and measurable use.
Useful Leama paths: /agent, /pricing, /help/understanding-qualification, /help/understanding-the-prospects-page, /help/delivery-settings and /help/outreach-campaigns.
Verdict
Choose Leama when the desired output is already clear: qualified B2B prospect records ready for review and delivery. Choose Gobii when the desired workflow is unusual enough that you need a programmable persistent agent and have someone to own its tools, safeguards and maintenance. The real cost comparison must include implementation and supervision, not just monthly plans.
The recommendation is specific: use Gobii for the operating strength described above, and use Leama when qualification before volume is the primary requirement.
Leama is not trying to provide the biggest possible database. It is designed to prevent weak prospects from reaching outreach in the first place.
Describe your ideal customer and use 50 prospect credits each calendar month whenever you are ready. No credit card is required.
Start at https://app.leama.ai/sign-up and use the first records to refine the brief before increasing volume.
The customer retains responsibility for final accuracy, suppression, message and compliance decisions.
Frequently asked questions and sources
Is Gobii specifically a prospecting tool? No. It is a general persistent-agent platform, although its official materials include supervised sales-research use cases.
Can Gobii be self-hosted? The core is MIT-licensed and Gobii documents a self-hosting path. That adds operational responsibility.
- Which requires less setup for prospecting? Leama. Its ICP, qualification, record and delivery workflow is already defined.
- Which is more customizable? Gobii. Its tools, apps, schedules, API and open-source core support a wider set of custom agent workflows.
- Official source: https://gobii.ai/
- Official source: https://gobii.ai/pricing/
- Official source: https://gobii.ai/solutions/sales/ai-sales-agent/
- Official source: https://gobii.ai/solutions/sales/
- Official source: https://docs.gobii.ai/
Research method: only official Leama and Gobii pages were used for product and pricing facts. Unknowns remain explicit, and the article does not claim independent performance testing.
Features and pricing were checked as of August 2026. Public product pages can change after publication.
Related comparisons: /blog/leama-vs-wuobly, /blog/leama-vs-clay, /blog/leama-vs-tario. Full comparison hub: /blog/best-ai-prospecting-tools.
12 min read
Leama vs Gobii: a prospecting agent or a general-purpose agent platform?
Leama editorial team
Reviewed 24 August 2026
Choose Leama when you want a ready-made B2B prospecting workflow with ICP rules, company qualification, buyer discovery, reviewable records and delivery. Choose Gobii when you want a general persistent-agent platform that can research the web, run scheduled tasks, use tools and apps, expose an API, and support custom workflows—including sales research. Gobii offers more flexibility and an MIT-licensed self-hosting path; Leama removes more design work by deciding what a prospecting record, qualification gate and delivery flow should look like. Gobii Pro is $50 per month and Scale is $250; Leama Grow is $20 and Scale is $99. The deciding question is whether you want to operate a prospecting product or build and supervise your own agent workflow.
Choose Leama if: Leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
Choose Gobii if: Gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
Editorial disclosure: Leama publishes this comparison. We did not run a paid hands-on product test. Product and pricing facts come from the official public sources listed below and were reviewed on 24 August 2026.
- Best fit. Leama: Founders, agencies, consultants, and sales teams that want a smaller, reviewable stream of qualified B2B prospects. Gobii: Teams that want configurable persistent agents for sales, recruiting, operations, research and custom browser workflows.
- Prospecting method. Leama: Uses a saved target profile, live web exploration, shared-registry candidates, company research, qualification rules, a fit threshold, and accepted or rejected prospect records. Gobii: A sales agent can be configured with a charter, sources, tools, files, schedule, outputs, review points and handoffs; a B2B lead-research template is available.
- Live research. Leama: Visits and researches current company websites and stores source URLs with prospect records. Gobii: Yes, through browser automation and source inspection.
- Natural-language ICP. Leama: Users describe their ideal customer, buyer roles, locations, requirements, preferences, and exclusions. Gobii: Yes, as part of the agent brief.
- Qualification. Leama: Positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted. Gobii: Sales templates can qualify, record disqualifiers, add fit notes and source URLs, with human review.
- Scoring. Leama: Fit scores and written fit reasoning are stored with prospect records. Gobii: ICP scores are shown in sales examples; scoring depends on configured workflow.
As of August 2026, this comparison describes the vendors' public product contracts rather than guaranteed outcomes. Availability, match rates, deliverability and research quality vary by market and source evidence.
Leama vs Gobii at a glance
Leama and Gobii are not direct substitutes at the same abstraction level. One is a vertical application; the other is an agent platform. Comparing feature checkboxes without accounting for workflow design and maintenance would mislead the buyer.
Leama is built for founders, agencies, consultants, and sales teams that want a smaller, reviewable stream of qualified B2B prospects.
Gobii is built for teams that want configurable persistent agents for sales, recruiting, operations, research and custom browser workflows.
Leama's prospecting method: Uses a saved target profile, live web exploration, shared-registry candidates, company research, qualification rules, a fit threshold, and accepted or rejected prospect records.
Gobii's prospecting method: A sales agent can be configured with a charter, sources, tools, files, schedule, outputs, review points and handoffs; a B2B lead-research template is available.
Qualification differs too. Leama documents positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted. Gobii documents sales templates can qualify, record disqualifiers, add fit notes and source URLs, with human review.
The useful decision is not which page contains more feature labels. It is which workflow best removes the buyer's actual prospecting bottleneck.
What each product is
Leama is an AI prospecting agent built around an ideal customer profile. A user describes the companies, buyer roles, locations, observable requirements, softer preferences and exclusions that matter.
The agent explores public websites and other market sources, evaluates candidates, records source URLs and assigns fit reasoning before a company becomes an accepted prospect. Contact discovery follows company qualification.
Paid tiers add more target profiles, recurring schedules, delivery methods and outreach campaign capacity. Leama remains review-first: source data can become stale, roles can change and a qualified company is not permission to contact a person.
Gobii positions itself this way: A general persistent AI employee and browser-agent platform with templates, schedules, tools, apps, approvals, channels, API access and self-hosting.
Its public materials describe its data and discovery model as follows: User-approved websites, company lists, documents, sheets, CRM exports, browser research, connected apps and webhook inputs.
For scoring, enrichment and outreach, Gobii documents iCP scores are shown in sales examples; scoring depends on configured workflow. Contact enrichment: The sales workflow can enrich records and prepare handoffs; external verification can be a review step. Outreach: The supervised sales guide focuses on outreach preparation and human-reviewed handoff, not autonomous sending in that workflow.
Key differences between Leama and Gobii
Both products can contribute to prospecting, but the most important differences change who owns qualification logic, where evidence is reviewed and how accepted companies move toward outreach.
The first four differences are the clearest starting point for a controlled evaluation:
- Abstraction: Leama — A purpose-built prospecting application with a defined data and review model. Gobii — A general platform for persistent AI agents, tools, apps and scheduled tasks. Why it matters: Gobii maximizes adaptability; Leama minimizes workflow construction.
- Qualification: Leama — Requirements, preferences, exclusions and a threshold are product concepts. Gobii — Qualification logic can be expressed in a custom agent task, but no identical built-in prospect gate is assumed. Why it matters: Leama makes the sales semantics native rather than configured.
- Sales workflow: Leama — Research, buyer discovery, records, delivery and optional campaigns are connected. Gobii — Official sales guidance shows supervised, source-linked research with human handoff. Why it matters: Gobii can support sales research without pretending every agent action should be autonomous.
- Control model: Leama — Users control a bounded prospecting profile and review outputs. Gobii — Developers and operators can choose tools, apps, approvals, schedules and API behavior. Why it matters: Gobii offers more system control, with more responsibility.
A complete evaluation should also cover the remaining product differences and the operating cost around them:
- Deployment: Leama — Leama is a managed product operated by Prospactive. Gobii — Gobii offers a hosted service and an MIT-licensed self-hosting option. Why it matters: Self-hosting can matter for customization and data control, but adds operations work.
- Pricing: Leama — Free starter allocation; $20 Grow; $99 Scale. Gobii — $50 Pro; $250 Scale; $50 per seat Team, plus a seven-day trial. Why it matters: Compare required build and maintenance time, not subscription price alone.
- Review the evidence and reasoning attached to accepted records.
- Measure reviewer time as well as exported record count.
- Price every required plan, module, credit and seat.
- Check whether the workflow can reject weak matches without silently loosening the brief.
- Keep final targeting, suppression and outreach decisions under human control.
Important qualification nuance: Gobii’s official sales example emphasizes supervised, source-linked work and human handoff. It should not be described as an unsupervised email-sending machine. Conversely, a custom agent can be built to do many things, but possibility is not the same as a supported, production-ready prospecting contract.
Contact data and outreach should be scored separately from company fit. A product can be strong in one layer and average in another.
Vendor-published coverage and accuracy figures are claims unless an independent source is explicitly named.
Use one frozen ICP and one acceptance definition before comparing results. Otherwise the test measures changing instructions rather than product behavior.
Where each product is better
Where Leama is better: Leama wins for a business user who wants an opinionated prospecting outcome without designing an agent. The qualification concepts are already named, records have a consistent structure, and delivery fits a sales workflow. That can lower setup risk and make ownership clearer for a small team.
Leama's strongest documented advantage in this comparison is positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted.
Where Gobii is better: Gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core. The same platform can support workflows far outside prospecting. That flexibility is meaningful when Leama’s fixed product boundary would be too constraining.
Gobii's documented strengths include Flexible general-purpose agents, Persistent schedules, Human approval boundaries, API and MCP, and Open-source self-hosting.
Choose Leama when leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
That is the strongest case for Leama here: a smaller, defensible prospect set can be more valuable than the largest available export.
Choose Gobii when gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
That is the strongest case for Gobii: its broader or more specialized capability may justify a different workflow, price or implementation burden.
Neither recommendation is universal. It is tied to a named operating problem and the buyer who owns it.
Test the recommendation with current records from the market the team actually serves.
A practical example
A sales operations engineer might want an agent that monitors product launches, searches several sources, writes findings into an internal system, requests approval and triggers a custom follow-up. Gobii’s persistent tasks, tools, schedules and API are designed for that kind of adaptable workflow. A sales manager who simply wants qualified accounts with buyer context does not necessarily want to design or maintain an agent. Leama supplies the profile, acceptance state, record format and delivery path. Gobii gives the engineer more freedom; Leama gives the manager fewer architectural decisions.
For a fair trial, give both products the same target-market brief and freeze the acceptance definition before reviewing results.
Count genuinely new companies, current supporting evidence, human-approved matches, useful decision-makers and reviewer minutes.
Company fit, contact accuracy and outreach performance are separate outcomes. Record each one independently.
If the workflow includes email, preserve suppression lists, review the final recipient and message, and monitor domain health independently of the prospecting score.
The winning workflow is the one the team can inspect, correct and repeat without creating more cleanup than it removes.
Pricing compared
Pricing checked: 24 August 2026. Leama's current public offer is $0 Free with 50 monthly prospect credits; Grow $20/month; Scale $99/month.
Gobii currently publishes: Pro $50/month, Scale $250/month, Team $50/seat/month. The core is also MIT-licensed for self-hosting.
Leama free-plan position: Yes. New accounts receive 50 prospect credits each calendar month, with no card required.
Gobii free or trial position: A seven-day free trial is offered on Pro and Scale.
Do not divide a subscription by headline credits and call it a direct price-per-prospect comparison. Vendors meter different searches, data fields, enrichments, verified emails, AI actions, accepted prospects and sending capacity.
Estimate the complete workflow, including separate modules, provider charges, required seats and the time needed to review or maintain the system.
Recheck both official pricing pages before purchasing. This article does not estimate hidden pricing or promise future plan availability.
How to choose
Start with the failure the team is trying to remove. If weak companies reach sales, prioritize qualification controls and evidence. If the account list is sound but contacts are missing, prioritize enrichment and verification.
Who should choose Leama: teams should choose Leama when leama wins for a business user who wants an opinionated prospecting outcome without designing an agent.
Who should choose Gobii: teams should choose Gobii when gobii wins for technical teams that want to compose a broader research system, connect custom tools or apps, schedule persistent tasks, use an API, or self-host the core.
Define what makes a company accepted before either vendor returns results.
- Use the same geography, buyer roles, batch size and review window.
- Track evidence freshness, false positives, missing contacts and review minutes.
- Calculate the cost of every required plan, module, provider and seat.
- Inspect what can be corrected, repeated and audited after the first run.
- Choose the smaller system unless broader capability has a named owner and measurable use.
Useful Leama paths: /agent, /pricing, /help/understanding-qualification, /help/understanding-the-prospects-page, /help/delivery-settings and /help/outreach-campaigns.
Verdict
Choose Leama when the desired output is already clear: qualified B2B prospect records ready for review and delivery. Choose Gobii when the desired workflow is unusual enough that you need a programmable persistent agent and have someone to own its tools, safeguards and maintenance. The real cost comparison must include implementation and supervision, not just monthly plans.
The recommendation is specific: use Gobii for the operating strength described above, and use Leama when qualification before volume is the primary requirement.
Leama is not trying to provide the biggest possible database. It is designed to prevent weak prospects from reaching outreach in the first place.
Describe your ideal customer and use 50 prospect credits each calendar month whenever you are ready. No credit card is required.
Start at https://app.leama.ai/sign-up and use the first records to refine the brief before increasing volume.
The customer retains responsibility for final accuracy, suppression, message and compliance decisions.
Frequently asked questions and sources
Is Gobii specifically a prospecting tool? No. It is a general persistent-agent platform, although its official materials include supervised sales-research use cases.
Can Gobii be self-hosted? The core is MIT-licensed and Gobii documents a self-hosting path. That adds operational responsibility.
- Which requires less setup for prospecting? Leama. Its ICP, qualification, record and delivery workflow is already defined.
- Which is more customizable? Gobii. Its tools, apps, schedules, API and open-source core support a wider set of custom agent workflows.
- Official source: https://gobii.ai/
- Official source: https://gobii.ai/pricing/
- Official source: https://gobii.ai/solutions/sales/ai-sales-agent/
- Official source: https://gobii.ai/solutions/sales/
- Official source: https://docs.gobii.ai/
Research method: only official Leama and Gobii pages were used for product and pricing facts. Unknowns remain explicit, and the article does not claim independent performance testing.
Features and pricing were checked as of August 2026. Public product pages can change after publication.
Related comparisons: /blog/leama-vs-wuobly, /blog/leama-vs-clay, /blog/leama-vs-tario. Full comparison hub: /blog/best-ai-prospecting-tools.