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Business & Marketing

Saleshandy

Saleshandy covers lead search, contact lookup, and AI outreach drafting in one platform, but the testing found uneven people-search coverage and only moderate AI prospecting precision.

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Lead Finder testedLinkedIn URL lookupAI email draftsMixed data freshness

Broad workflow, mixed research quality

Saleshandy performed well as an all-in-one outreach workflow: it found target companies, surfaced some validated contact data, generated usable outreach drafts, and exposes broad automation APIs. But its prospect discovery was inconsistent for specific people, its employee lists were not fully fresh or complete, its AI prospecting assistant struggled with tightly scoped requests, and its Chrome extension behaved more like a dialer add-on than a research assistant.

Download video: Demo video
Hands-on walkthrough of Saleshandy during the AI outreach workflow test.

In-Depth Review

Our detailed analysis of Saleshandy — features, performance, and real-world testing.

AV
Ajay V
AI Demos Team
Verified Review

Feature-by-Feature Breakdown

Company lookup and contact discovery
▾
Test Summary
Feature tested: Company lookup and contact discovery
Result: Passed

Feature tested: Company lookup and contact discovery

Result: Passed

Expected behavior: Tested Lead Finder with a company search for Tidio, people searches for Ajay Vekhande, Tytus Gołas, and Aditya Nichite, and a LinkedIn URL lookup for Tytus Gołas to see whether Saleshandy could find the right company and surface usable contact data for specific prospects.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): Saleshandy identified Tidio in the Companies tab and returned a matching company record. The result exposed location, founding year, industry, ownership type, B — saleshandy-saleshandy-lead-finder-companies-view.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): Saleshandy identified Tidio in the Companies tab and returned a matching company record. The result exposed location, founding year, industry, ownership type, B — saleshandy-saleshandy-lead-finder-companies-view.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): Saleshandy returned multiple people records for the Ajay Vekhande name search and showed job title, company, department, plus View Email and View Phone actions. — saleshandy-saleshandy-lead-finder-people-ajay-vekhande.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): Saleshandy returned multiple people records for the Ajay Vekhande name search and showed job title, company, department, plus View Email and View Phone actions. — saleshandy-saleshandy-lead-finder-people-ajay-vekhande.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): Saleshandy surfaced Aditya Nichite with the correct company, job title, department, and a visible work email in the results table. The researcher validated that — saleshandy-saleshandy-lead-finder-people-aditya-nichite.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): Saleshandy surfaced Aditya Nichite with the correct company, job title, department, and a visible work email in the results table. The researcher validated that — saleshandy-saleshandy-lead-finder-people-aditya-nichite.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): The name-based search for Tytus Gołas returned no results. In this workflow, Saleshandy failed to find a publicly identifiable prospect that several other teste — saleshandy-saleshandy-lead-finder-people-no-results-tytus-golas.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): The name-based search for Tytus Gołas returned no results. In this workflow, Saleshandy failed to find a publicly identifiable prospect that several other teste — saleshandy-saleshandy-lead-finder-people-no-results-tytus-golas.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): Using Tytus Gołas's LinkedIn URL, Saleshandy successfully found the correct person record, labeled him as CEO at Tidio, and surfaced a work email plus phone-acc — saleshandy-saleshandy-lead-finder-people-tytus-golas-linkedin-url.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): Using Tytus Gołas's LinkedIn URL, Saleshandy successfully found the correct person record, labeled him as CEO at Tidio, and surfaced a work email plus phone-acc — saleshandy-saleshandy-lead-finder-people-tytus-golas-linkedin-url.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Saleshandy can return actionable prospect data, including validated email addresses, but specific-person discovery is not consistently reliable from name search alone. If a name lookup fails, LinkedIn URL search materially improves the odds of finding the right contact.

Tested Lead Finder with a company search for Tidio, people searches for Ajay Vekhande, Tytus Gołas, and Aditya Nichite, and a LinkedIn URL lookup for Tytus Gołas to see whether Saleshandy could find the right company and surface usable contact data for specific prospects.

INPUT
Searched for the company Tidio in Lead Finder's Companies tab to verify whether Saleshandy could return a matching company record with useful qualifying details.
↓
image
Output artifact for "Company lookup and contact discovery" test: Saleshandy identified Tidio in the Companies tab and returned a matching company record. The result exposed location, founding year, industry, ownership type, B, saleshandy-saleshandy-lead-finder-companies-view.png

Saleshandy identified Tidio in the Companies tab and returned a matching company record. The result exposed location, founding year, industry, ownership type, B2B classification, and a View People action, showing that company discovery includes enough firmographic detail to qualify a target before moving into contact search.

INPUT
Searched for Ajay Vekhande by name in the People tab to test whether Saleshandy can surface prospect records from a simple name query.
↓
image
Output artifact for "Company lookup and contact discovery" test: Saleshandy returned multiple people records for the Ajay Vekhande name search and showed job title, company, department, plus View Email and View Phone actions., saleshandy-saleshandy-lead-finder-people-ajay-vekhande.png

Saleshandy returned multiple people records for the Ajay Vekhande name search and showed job title, company, department, plus View Email and View Phone actions. This demonstrates that the platform can surface candidate prospects and basic contact-access options when a person name matches records in its database.

INPUT
Searched for Aditya Nichite by name to verify whether Saleshandy could match a specific person to the right company and expose contact information directly in the results.
↓
image
Output artifact for "Company lookup and contact discovery" test: Saleshandy surfaced Aditya Nichite with the correct company, job title, department, and a visible work email in the results table. The researcher validated that, saleshandy-saleshandy-lead-finder-people-aditya-nichite.png

Saleshandy surfaced Aditya Nichite with the correct company, job title, department, and a visible work email in the results table. The researcher validated that the surfaced email address was accurate, which made this result actionable in a way several other tested tools did not achieve for the same kind of lookup.

INPUT
Searched for Tytus Gołas by name in the People tab to test difficult known-prospect retrieval.
↓
image
Output artifact for "Company lookup and contact discovery" test: The name-based search for Tytus Gołas returned no results. In this workflow, Saleshandy failed to find a publicly identifiable prospect that several other teste, saleshandy-saleshandy-lead-finder-people-no-results-tytus-golas.png

The name-based search for Tytus Gołas returned no results. In this workflow, Saleshandy failed to find a publicly identifiable prospect that several other tested tools did return, so name-only discoverability was inconsistent for specific individuals.

INPUT
Retried the Tytus Gołas lookup using his LinkedIn profile URL after the name search failed, to compare discoverability by search method.
↓
image
Output artifact for "Company lookup and contact discovery" test: Using Tytus Gołas's LinkedIn URL, Saleshandy successfully found the correct person record, labeled him as CEO at Tidio, and surfaced a work email plus phone-acc, saleshandy-saleshandy-lead-finder-people-tytus-golas-linkedin-url.png

Using Tytus Gołas's LinkedIn URL, Saleshandy successfully found the correct person record, labeled him as CEO at Tidio, and surfaced a work email plus phone-access control. This shows that LinkedIn URL lookup can recover prospects that the plain name search misses.

Bottom Line
Saleshandy can return actionable prospect data, including validated email addresses, but specific-person discovery is not consistently reliable from name search alone. If a name lookup fails, LinkedIn URL search materially improves the odds of finding the right contact.
Employee coverage and freshness
▾
Test Summary
Feature tested: Employee coverage and freshness
Result: Passed

Feature tested: Employee coverage and freshness

Result: Passed

Expected behavior: Tested company-wide employee discovery by searching FutureSmart AI in the People tab and reviewing how many employees Saleshandy surfaced, across which departments, and how current that list appeared to be.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): Saleshandy returned 27 employee records tied to FutureSmart AI across engineering, product, research, and general management roles. However, validation against — saleshandy-saleshandy-lead-finder-futuresmart-ai-people-list.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): Saleshandy returned 27 employee records tied to FutureSmart AI across engineering, product, research, and general management roles. However, validation against — saleshandy-saleshandy-lead-finder-futuresmart-ai-people-list.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Saleshandy gives a workable employee list for company-level prospecting, but workforce completeness and freshness need manual validation when accuracy matters.

Tested company-wide employee discovery by searching FutureSmart AI in the People tab and reviewing how many employees Saleshandy surfaced, across which departments, and how current that list appeared to be.

INPUT
Searched for FutureSmart AI in the People tab to assess how broadly Saleshandy covers a company's employee base and whether the returned profiles look current.
↓
image
Output artifact for "Employee coverage and freshness" test: Saleshandy returned 27 employee records tied to FutureSmart AI across engineering, product, research, and general management roles. However, validation against, saleshandy-saleshandy-lead-finder-futuresmart-ai-people-list.png

Saleshandy returned 27 employee records tied to FutureSmart AI across engineering, product, research, and general management roles. However, validation against the company's current team showed that some returned profiles appeared to be former employees, while several current team members were missing, so the list was useful for prospecting but not fully fresh or complete.

Bottom Line
Saleshandy gives a workable employee list for company-level prospecting, but workforce completeness and freshness need manual validation when accuracy matters.
Natural-language AI prospecting
▾
Test Summary
Feature tested: Natural-language AI prospecting
Result: Passed

Feature tested: Natural-language AI prospecting

Result: Passed

Expected behavior: Tested the Sage assistant with a specific partnership prospecting prompt for AI startups in customer support automation, then with a broader AI video editing startup search, to see whether it could turn natural language into a targeted lead list.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): For the customer support automation request, the assistant did not produce the requested company-and-contact list. Instead, it said the filters were too narrow, — saleshandy-saleshandy-lead-finder-ai-search-sage-panel.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): For the customer support automation request, the assistant did not produce the requested company-and-contact list. Instead, it said the filters were too narrow, — saleshandy-saleshandy-lead-finder-ai-search-sage-panel.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): On the broader AI video editing query, the assistant successfully translated the request into filters and returned a large company result set, with about 1,974 — saleshandy-saleshandy-lead-finder-ai-video-editing-results.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): On the broader AI video editing query, the assistant successfully translated the request into filters and returned a large company result set, with about 1,974 — saleshandy-saleshandy-lead-finder-ai-video-editing-results.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Sage is more useful for converting broad themes into search filters than for delivering tightly scoped prospect lists and relevant contacts from a complex natural-language request.

Tested the Sage assistant with a specific partnership prospecting prompt for AI startups in customer support automation, then with a broader AI video editing startup search, to see whether it could turn natural language into a targeted lead list.

INPUT
Prompt used: "Find 10 AI startups in customer support automation and identify the most relevant contacts for partnership outreach."
↓
image
Output artifact for "Natural-language AI prospecting" test: For the customer support automation request, the assistant did not produce the requested company-and-contact list. Instead, it said the filters were too narrow,, saleshandy-saleshandy-lead-finder-ai-search-sage-panel.png

For the customer support automation request, the assistant did not produce the requested company-and-contact list. Instead, it said the filters were too narrow, inferred broader categories, and suggested loosening the search by expanding industries, company size, or keywords. In practice, it acted more like a search-refinement helper than a precise prospect finder for this prompt.

INPUT
Tried a simpler AI startup search around video editing to see whether Sage performs better on a broader, easier-to-translate request.
↓
image
Output artifact for "Natural-language AI prospecting" test: On the broader AI video editing query, the assistant successfully translated the request into filters and returned a large company result set, with about 1,974, saleshandy-saleshandy-lead-finder-ai-video-editing-results.png

On the broader AI video editing query, the assistant successfully translated the request into filters and returned a large company result set, with about 1,974 matching companies shown. That made it more effective for building a themed search than for honoring the original instruction to find a tightly limited list of 10 highly targeted startups.

Bottom Line
Sage is more useful for converting broad themes into search filters than for delivering tightly scoped prospect lists and relevant contacts from a complex natural-language request.
Chrome extension prospecting workflow
▾
Test Summary
Feature tested: Chrome extension prospecting workflow
Result: Passed

Feature tested: Chrome extension prospecting workflow

Result: Passed

Expected behavior: Checked whether Saleshandy's Chrome extension adds prospect discovery or enrichment while browsing LinkedIn profiles and company websites.

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): On the LinkedIn profile, the Saleshandy overlay showed a Dialer Plan Required pop-up rather than prospect discovery or contact enrichment tools. In this test, t — saleshandy-linkedin-profile-dialer-plan-required.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): On the LinkedIn profile, the Saleshandy overlay showed a Dialer Plan Required pop-up rather than prospect discovery or contact enrichment tools. In this test, t — saleshandy-linkedin-profile-dialer-plan-required.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Text prompt transformed into Text prompt

Why it matters / Conclusion: The Chrome extension was not useful as a browsing-time enrichment layer in this research. It appears dialer-focused rather than built for LinkedIn or website-based prospect discovery.

Checked whether Saleshandy's Chrome extension adds prospect discovery or enrichment while browsing LinkedIn profiles and company websites.

INPUT
Opened Tytus Gołas's LinkedIn profile with Saleshandy's Chrome extension to see whether it enriches the profile with contact or company intelligence.
↓
image
Output artifact for "Chrome extension prospecting workflow" test: On the LinkedIn profile, the Saleshandy overlay showed a Dialer Plan Required pop-up rather than prospect discovery or contact enrichment tools. In this test, t, saleshandy-linkedin-profile-dialer-plan-required.png

On the LinkedIn profile, the Saleshandy overlay showed a Dialer Plan Required pop-up rather than prospect discovery or contact enrichment tools. In this test, the extension behaved like a click-to-call workflow component, not like a LinkedIn research assistant that reveals company intelligence or prospect data inline.

INPUT
Visited www.marblism.com to test whether the extension surfaces company enrichment or prospect discovery while browsing a company website.
↓
OUTPUT
The researcher found that Saleshandy does not currently provide company enrichment or prospect discovery through its Chrome extension when browsing company websites. The extension was described as being focused on click-to-call workflows and call management rather than on-site company intelligence.
Bottom Line
The Chrome extension was not useful as a browsing-time enrichment layer in this research. It appears dialer-focused rather than built for LinkedIn or website-based prospect discovery.
API and automation readiness
▾
Test Summary
Feature tested: API and automation readiness
Result: Passed

Feature tested: API and automation readiness

Result: Passed

Expected behavior: Reviewed Saleshandy's published developer documentation to determine whether prospecting, enrichment, outreach execution, and reporting workflows can be automated outside the main UI.

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Text prompt): OUTPUT

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Text prompt): OUTPUT

What changed: Text prompt transformed into Text prompt

Why it matters / Conclusion: Saleshandy looks strong for automation on paper, with broad documented APIs spanning prospect data, outreach workflows, and reporting.

Reviewed Saleshandy's published developer documentation to determine whether prospecting, enrichment, outreach execution, and reporting workflows can be automated outside the main UI.

INPUT
Reviewed the developer documentation at developer.saleshandy.com/api-reference/introduction.
↓
OUTPUT
The documented API surface covers prospect management, email sequences, sales tasks, email-account management, campaign analytics, and unified inbox workflows. The docs also describe contact and company enrichment capabilities, including verified contact data and phone numbers, and mention REST API, CLI, and MCP-based integration options. Based on the documentation, Saleshandy appears well suited for organizations that want to connect prospecting and outreach workflows to internal systems and reduce manual handoffs.
Bottom Line
Saleshandy looks strong for automation on paper, with broad documented APIs spanning prospect data, outreach workflows, and reporting.
AI outreach email drafting
▾
Test Summary
Feature tested: AI outreach email drafting
Result: Passed

Feature tested: AI outreach email drafting

Result: Passed

Expected behavior: Used AI Sequence Copilot with company information, then reviewed generated outreach-email previews for different recipients to judge relevance, merge-field handling, and how much personalization changes from one prospect to another.

Test case: Image → Image

Input type: Image

Input used: Input artifact (Image): AI Sequence Copilot asked for a company website or business information before generating outreach copy. — saleshandy-saleshandy-ai-sequence-copilot-company-website.png

Observed output: Output artifact (Image): Saleshandy generated a draft outreach email from the supplied company context and rendered it with prospect and company personalization variables in the preview — saleshandy-saleshandy-email-sequence-editor-preview.png

Input artifact: Input artifact (Image): AI Sequence Copilot asked for a company website or business information before generating outreach copy. — saleshandy-saleshandy-ai-sequence-copilot-company-website.png

Output artifact: Output artifact (Image): Saleshandy generated a draft outreach email from the supplied company context and rendered it with prospect and company personalization variables in the preview — saleshandy-saleshandy-email-sequence-editor-preview.png

What changed: Image transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): In the Tytus Gołas preview, Saleshandy personalized the subject and greeting with Tidio and Tytus-specific fields and produced a coherent draft email. However, — saleshandy-saleshandy-email-sequence-editor-preview-1.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): In the Tytus Gołas preview, Saleshandy personalized the subject and greeting with Tidio and Tytus-specific fields and produced a coherent draft email. However, — saleshandy-saleshandy-email-sequence-editor-preview-1.png

What changed: Text prompt transformed into Image

Test case: Text prompt → Image

Input type: Text prompt

Input used: Input artifact (Text prompt): INPUT

Observed output: Output artifact (Image): In the Frode Lundgren preview, the subject and body adjusted to Vespa.ai and Frode, but the underlying structure, talking points, and CTA remained nearly the sa — saleshandy-saleshandy-email-sequence-editor-frode-preview.png

Input artifact: Input artifact (Text prompt): INPUT

Output artifact: Output artifact (Image): In the Frode Lundgren preview, the subject and body adjusted to Vespa.ai and Frode, but the underlying structure, talking points, and CTA remained nearly the sa — saleshandy-saleshandy-email-sequence-editor-frode-preview.png

What changed: Text prompt transformed into Image

Why it matters / Conclusion: Saleshandy can quickly produce usable cold-email drafts with merge-field personalization, but the outputs stay close to a reusable template and do not show strong evidence of deeper prospect-specific tailoring.

Used AI Sequence Copilot with company information, then reviewed generated outreach-email previews for different recipients to judge relevance, merge-field handling, and how much personalization changes from one prospect to another.

image
Input artifact for "AI outreach email drafting" test: AI Sequence Copilot asked for a company website or business information before generating outreach copy., saleshandy-saleshandy-ai-sequence-copilot-company-website.png

AI Sequence Copilot asked for a company website or business information before generating outreach copy.

↓
image
Output artifact for "AI outreach email drafting" test: Saleshandy generated a draft outreach email from the supplied company context and rendered it with prospect and company personalization variables in the preview, saleshandy-saleshandy-email-sequence-editor-preview.png

Saleshandy generated a draft outreach email from the supplied company context and rendered it with prospect and company personalization variables in the preview. The email was usable and contextually relevant, but the core sales message, structure, and CTA followed a fairly standard cold-email template rather than showing deep research-driven personalization.

INPUT
Previewed the generated Step 1 email for Tytus Gołas at Tidio to see how the drafted copy personalizes for a named prospect and company.
↓
image
Output artifact for "AI outreach email drafting" test: In the Tytus Gołas preview, Saleshandy personalized the subject and greeting with Tidio and Tytus-specific fields and produced a coherent draft email. However,, saleshandy-saleshandy-email-sequence-editor-preview-1.png

In the Tytus Gołas preview, Saleshandy personalized the subject and greeting with Tidio and Tytus-specific fields and produced a coherent draft email. However, the message still relied on the same base structure and pitch pattern seen elsewhere, indicating that most of the customization came from merge fields and spin syntax rather than deeper prospect-specific reasoning.

INPUT
Previewed the same generated Step 1 email for Frode Lundgren at Vespa.ai to compare whether the tool meaningfully rewrites the message for another recipient.
↓
image
Output artifact for "AI outreach email drafting" test: In the Frode Lundgren preview, the subject and body adjusted to Vespa.ai and Frode, but the underlying structure, talking points, and CTA remained nearly the sa, saleshandy-saleshandy-email-sequence-editor-frode-preview.png

In the Frode Lundgren preview, the subject and body adjusted to Vespa.ai and Frode, but the underlying structure, talking points, and CTA remained nearly the same as the Tidio version. The output is usable as a starting draft, yet personalization depth remained shallow and mostly dependent on the user-provided company and prospect fields.

Bottom Line
Saleshandy can quickly produce usable cold-email drafts with merge-field personalization, but the outputs stay close to a reusable template and do not show strong evidence of deeper prospect-specific tailoring.

Annual pricing captured during testing

The pricing page shown in the research had annual billing selected with a 30% savings banner.

Starter
$25/month
Annual billing selected; screenshot also shows $36/month crossed out. Includes 2,000 active prospects, 6,000 emails per month, 100 AI credits, 1,000 email verification credits, and 50 free Lead Finder credits.
Pro
$69/month
Annual billing selected; marked Most Popular. Screenshot also shows $99/month crossed out. Includes 30,000 active prospects, 150,000 emails per month, 200 AI credits, 5,000 email verification credits, 1 inbox placement test, and 100 free Lead Finder credits.
Scale
$139/month
Annual billing selected; screenshot also shows $199/month crossed out. Includes 60,000 active prospects, 240,000 emails per month, 500 AI credits, 10,000 email verification credits, priority support, agency whitelabel, SSO, 2 inbox placement tests, and 100 free Lead Finder credits.
Scale Plus
$169/month
Annual billing selected; screenshot also shows $241/month crossed out. Includes 70,000 active prospects, 250,000 emails per month, unlimited prospects, dedicated success manager, 500 AI credits, 10,000 email verification credits, and 100 free Lead Finder credits.

Prices below reflect the visible pricing screenshot only. The research did not validate add-ons such as Dialer pricing or test plan limits beyond what was shown on the page.

Is This Right For You?

A side-by-side guide based on our hands-on testing.

✓ Use This If
●You want one platform that can move from company search to people search to email drafting without switching tools.
●You can search with a prospect's LinkedIn URL when name-based lookup misses the person you need.
●You need documented APIs for prospect management, enrichment, sequences, analytics, or inbox workflows.
✕ Skip This If
●You need highly reliable name-based discovery for every known prospect without using LinkedIn URLs or extra validation.
●You need very fresh and complete employee rosters for a company rather than a useful-but-imperfect staff list.
●You expect the AI assistant to return tightly targeted 10-company prospect lists from complex natural-language requests.
●You want a Chrome extension that enriches LinkedIn profiles or company websites directly while you browse.
Business & MarketingOthertextMarketingFounders
Yes. In testing, a search for Tidio returned a matching company record with firmographic details including location, founding year, industry, ownership type, and B2B classification, plus an action to view people tied to the company.
It was mixed by name and stronger by LinkedIn URL in this research. Saleshandy returned multiple matches for Ajay Vekhande and correctly surfaced Aditya Nichite with a validated work email, but it failed to find Tytus Gołas by name. When the researcher retried with Tytus Gołas's LinkedIn URL, Saleshandy found the correct record and surfaced a work email.
Useful, but not fully current in this test. For FutureSmart AI, Saleshandy surfaced 27 employee records across several departments, but validation showed some profiles appeared to be former employees and several current team members were missing.
Better for broad search translation than for precise list-building. On the prompt asking for 10 AI startups in customer support automation plus relevant partnership contacts, the assistant did not fulfill the request and instead suggested broadening the filters. On a broader AI video editing startup query, it successfully built filters and returned a large result set of about 1,974 companies.
Not in this test. On a LinkedIn profile, the extension surfaced a dialer-plan requirement instead of prospect discovery or contact enrichment. The researcher also found that the extension did not provide company enrichment or prospect discovery while browsing a company website and was focused more on click-to-call workflows.
Yes, but personalization depth was moderate. AI Sequence Copilot produced usable outreach drafts and inserted company and prospect fields into the subject line and body. Across recipient previews, however, the core structure and sales pitch stayed largely the same, so the outputs looked more template-driven than deeply research-driven.
The captured pricing page showed annual billing with four plans: Starter at $25/month, Pro at $69/month, Scale at $139/month, and Scale Plus at $169/month. The page also showed crossed-out higher monthly prices and a 30% savings banner for annual billing.
Based on the documentation review, yes. The published API references cover prospects, sequences, tasks, email accounts, campaign analytics, unified inbox workflows, and enrichment-related capabilities, with REST API, CLI, and MCP-based options mentioned in the docs.

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