Overloop Review 2026: AI Prospecting, Credits, and the Product-Generation Gap

Overloop AI is a cloud B2B prospecting product for solo sellers and small teams. It combines contact sourcing, email, and LinkedIn steps in one workflow. Starter costs $69 per user each month, or $59 per user on a yearly commitment (pricing; annual terms). Our verdict is conditional. The documented workflow is usable, but current data quality, LinkedIn exit routing, and restriction outcomes have not been measured. The central evidence problem is product lineage. Public reviews mainly cover Prospect.io and pre-AI Overloop, not the Sortlist-owned AI product sold now. Older outcomes should not be carried forward without a current pilot.

Sources checked September 2026: Overloop company history and Sortlist acquisition announcement.

Verdict

Overloop AI combines prospect sourcing, email verification, email sequences, and LinkedIn steps in one per-user workspace. The documented workflow includes visits, connection requests, first-degree messages, branching, A/B tests, and reply stopping (sequence editor; LinkedIn actions). This is the relevant buying case when that sequence matches the intended workflow. Starter is a functional product tier rather than a featureless trial. It includes 250 credits, one email account, three campaigns, and Zapier at $69 per user monthly (plans).

That is not yet a validated outcome case. The 450M+ database claim does not establish current accuracy or bounce rate. No authenticated campaign run established reply handling or failure recovery. For agencies, one LinkedIn identity per paid user is documented. Lower-plan user roles and client isolation are not established (connection model; agency positioning).

Sources checked September 2026: pricing, credit rules, and Smart Limits.

Use a pilot to settle the decision. Verify a representative data sample, seed-inbox delivery, LinkedIn network behavior, and actual teammate permissions before multiplying seats.

Pros

• One data-to-outreach path: Sourcing and email finding feed email and LinkedIn steps inside one cloud workflow, reducing manual handoffs (multichannel outreach).
• Starter keeps the outreach core: The $69 monthly plan includes 250 credits, one email account, three campaigns, Zapier, and the documented sequence surface (pricing).
• Branching is specified: Conditions use prospect data, tracking events, and participation in other sequences, so “branching” has defined inputs (conditions).
• A/B tests cover three message surfaces: Email, connection notes, and LinkedIn messages can be tested, which gives operators a defined variation workflow (A/B documentation).
• Action limits are published: Separate ramps and maxima for views, invitations, and messages make the vendor's intended operating envelope visible (Smart Limits).
• Interfaces and status are public: Growth adds a documented REST API, while beta v2/CLI documentation and a live status page make operational surfaces inspectable before an integration is designed (API and CLI).

Cons

• Credits do not equal completed leads: Sourcing and email finding are separate charge events, and unused credits expire, so 250 credits can represent about 125 sourced-and-emailed contacts rather than 250 (credit rules).
• Current data outcomes are unmeasured: A 450M+ database and documented verification checks do not establish accuracy, business relevance, bounce rate, or credit returns (verification).
• LinkedIn cloud behavior is only partly resolved: Static source review confirms full-cookie-jar transfer and some local LinkedIn requests, but backend retention, replay, campaign execution, and LinkedIn-facing IP quality remain unmeasured (AI extension).
• Agency controls are not established: Marketing promotes white-label resale, but public documentation did not establish client workspaces, custom branding controls, sender rotation, lead distribution, or an audit log (agency page).
• Refund messages conflict: The AI FAQ says no refunds after a subscription starts and also gives a request path; the Terms retain case-by-case discretion (FAQ; Terms).
• The review record predates the current product: The 130 G2 reviews analyzed end before the Sortlist acquisition. They cannot establish current AI-product reliability or quality (G2 profile; acquisition).
• Support outcomes are unmeasured: Chat and email are listed with plan gates, but no controlled response-time or escalation test was completed (pricing; FAQ).

Sources checked September 2026: credits, agency positioning, FAQ, and Terms.

Overloop Pricing: Per-User Credits, Annual Prices, and Real TCO

Overloop AI lists Starter at $69 and Growth at $99 per user monthly. Enterprise is custom. Its Help Center, rather than the public pricing page, lists yearly-commitment equivalents of $59 and $79. The resulting reductions are 14.5% for Starter and 20.2% for Growth. These are calculated values, not percentages displayed by the vendor (monthly pricing; annual pricing).

Sources checked September 2026: Overloop AI pricing and Pricing & Plans Help. “Unlimited” applies to the named email-account and campaign capacities; credits and Smart Limits remain separate caps.

The credit unit can distort lead capacity. One credit sources a prospect, and a second finds an email. A fully sourced-and-emailed contact can therefore consume two credits. Unused monthly credits expire at renewal. Annual credits arrive upfront and expire after 12 months. Running out stops new sourcing and email finding. It does not stop sequences already running for existing prospects (credit rules; FAQ). No public standalone top-up route was found. That is an evidence gap, not proof that a private sales option is unavailable.

The trial is pilot-sized. Overloop AI offers 14 days without a card at signup and no permanent free plan. A dated signup observation exposed 50 credits. That is about 25 contacts if both charge events apply. Payment-method timing and full trial gates were not authenticated (pricing; signup; billing).

Scenario arithmetic from monthly pricing and annual rates; before VAT and conditional on lower-plan user access.

For 20 Growth identities, the annual cost is $23,760 with monthly billing or $18,960 with annual prepay, before VAT. One LinkedIn identity maps to one paid user. No public volume discount was found, so published pricing scales linearly. Private pricing remains unestablished (connection model). Cancellation is self-service, and pause costs $14.99 monthly. The refund boundary remains conflicting. Classic's separate 30-day guarantee applies only to Classic, not Overloop AI (AI billing; Classic policy).

Overloop Features: Seven Evidence-Supported Axes

Overloop's feature list needs three labels: product generation, plan, and evidence status. The current AI Help Center and live AI surfaces establish the capabilities below. Classic documentation can explain lineage. It cannot establish current pricing, refunds, roles, or runtime behavior. We therefore separate documented features from authenticated results. A sequence step may exist while delivery, latency, recovery, or output quality remains unmeasured. Each axis also states what the public evidence did not establish. A documentation gap is not proof that a capability is absent.

Prospect.io, Overloop Classic, and Overloop AI

Overloop began in 2015 as Prospect.io, later became Overloop, and now sells Overloop AI. Sortlist announced its acquisition of the company in December 2025 (company history; acquisition announcement). The company is Overloop SRL in Brussels, Belgium (About; Terms). This lineage explains the overlapping names in brand searches. Company continuity does not establish continuity of product outcomes.

Sources checked September 2026: About, acquisition announcement, AI Help Center, and Classic Help Center.

The separate extension listings make the boundary concrete. Overloop AI uses listing ID hehebhmhfadjangoccifmegnfacnbeff, observed as v1.0.8, while Classic uses dpkbdbpmahebenenkkjenihgfophknbm, observed as v3.45.3 (AI listing; Classic listing). They are distinct artifacts, so one listing's behavior cannot be assigned to the other.

The Help Centers also remain separate: the September 2026 count was about 41 AI articles and 105 Classic articles (AI Help; Classic Help). Those totals describe documentation volume, not support response time. Historical reviews can design current checks, but they cannot show that the AI product inherited Classic outcomes.

B2B Database, Email Verification, and Credit Quality

Overloop markets a database of 450M+ contacts and combines prospect sourcing with a built-in email finder. The documented credit flow is closed. Sourcing a new prospect costs one credit, and finding an email costs one more. Message sending and LinkedIn touchpoints are not listed as credit events (database; credit usage). Plan credits therefore measure chargeable lookup events, not a fixed number of complete leads.

Email verification checks syntax and domain health, performs an SMTP handshake, and detects catch-all domains (verification page). Those mechanisms show what the verifier checks. They do not establish current accuracy, geography coverage, business appropriateness, bounce rate, or whether a hard bounce returns a credit.

Sources checked September 2026: credit usage, email verification, and LinkedIn automation.

Overloop documents AI sourcing against an ICP. The reviewed current catalog did not establish persistent fit scoring for an already imported list. That documentation gap does not prove that no private workflow can approximate it. Record-level data-freshness dates were not checked, so their availability is not established. Prospect/data export is documented. Full message-history export, export cleanliness, and distinct failed-profile diagnostics were not established (account overview).

For category context, use a consistent email-finder evaluation framework rather than treating database size as an accuracy result.

Multichannel Sequences, Smart Branching, and Reply Stop

The current documented catalog covers email and these LinkedIn actions:

• Visit Profile
• Connection Request
• Message
• Check Connection logic

The Help Center explicitly marks InMail as unsupported (sequence editor; LinkedIn actions). The reviewed current documentation did not establish:

• Recruiter support
• Group or event engagement
• Post-engager collection
• Post commenting
• Following
• Skill endorsement

These are documentation gaps except where the action page explicitly says unsupported.

Conditions branch on three named families: prospect data, tracking events, and participation in other sequences. A/B tests cover email, LinkedIn connection notes, and LinkedIn messages (conditions; A/B testing). AI message settings expose language, formality, tone, length, and excluded terms, but output accuracy, quality, and effective human control were not tested (AI settings). Like many products in this category, Overloop also documents automatic stop on reply and a central conversation inbox (multichannel page; Inbox).

Sources checked September 2026: Sequence Editor, Conditions, A/B Test, and LinkedIn Actions.

The practical implication is that campaign design is more than a linear email drip, but feature presence does not prove execution quality. An authenticated run still needs to test duplicate suppression, pause and resume behavior, reply latency, cross-channel stopping, and recovery after repeated failures. For a neutral overview of channel handoffs, see how LinkedIn and cold-email steps interact.

Chrome Extension, Cloud Execution, and Smart Limits

Overloop AI documents vendor-cloud execution with a companion Chrome extension. The extension connects the existing LinkedIn session. It also captures LinkedIn or Sales Navigator search results. Public documentation implies launched campaigns continue in the cloud, but no browser-off run verified that behavior (LinkedIn automation; features).

The current AI and Classic listings are separate packages. In a September 12, 2026 static source review, the AI v1.0.8 package collected the full LinkedIn cookie jar and sent it to an Overloop account endpoint at link time and after session changes. It also made local LinkedIn and Sales Navigator requests and injected code into LinkedIn pages (AI listing). The Classic v3.45.3 package separately transferred the full cookie jar to its own Overloop endpoint. It also performed some local LinkedIn page/API work (Classic listing).

A full cookie jar is the account's LinkedIn login in browser form. Transferring it gives the vendor session material without requiring the password again. The shipped code establishes that extension-side transfer and local work occurred. It does not establish backend retention, replay, cloud campaign execution, or the network origin LinkedIn sees.

Source checked September 2026: Overloop LinkedIn Smart Limits.

Smart Limits separate views, invitations, and messages. They also ramp activity and allow manual override. This makes the intended operating envelope visible. The same documentation warns that overriding limits raises flagging risk. No time-of-day working-hours control or risk-triggered automatic pause was found in the reviewed current documentation. Those capabilities remain unestablished rather than proven absent from every product surface.

For broader context, compare vendor action caps with LinkedIn's weekly invitation limit.

Email Accounts, Deliverability, and Inbox

Starter includes one email account, Growth up to three, and Enterprise markets unlimited email accounts and unlimited campaigns. Those allowances remain subject to separate credit and sending limits, so “unlimited” names only the two stated capacities (pricing). One central Inbox exists per user rather than as a documented team-wide inbox (Inbox).

Sources checked September 2026: pricing, email Smart Limits, and Inbox.

The reviewed connection documentation covers Gmail and Outlook OAuth. It does not document a generic SMTP mailbox route (connection management). Enterprise's dedicated IP refers to secondary-domain email infrastructure, not a dedicated LinkedIn proxy. That distinction matters because email deliverability and LinkedIn network safety are different systems.

No current seed-inbox test established delivery, spam placement, domain health, or credit return after a bounce. The documented ramp explains intended sending volume, not outcome quality.

CRM Integrations, Zapier, API, and CLI

The public documentation does not establish one reliable native-integration total. It names five integration routes—Slack, Zapier, HubSpot, Pipedrive, and Salesforce—plus a REST API. Plan scope matters more than a larger implied count. Zapier is documented from Starter. HubSpot and Pipedrive arrive on Growth, while Salesforce is Enterprise-only (pricing; CRM integrations; Zapier).

The REST API is documented as stable, while API v2 and the CLI are beta; access appears on Growth and Enterprise (API and CLI). Native Make and native webhook features were not found in the reviewed integration documentation. That is a public-documentation boundary, not proof that no private or future route exists.

Sources checked September 2026: CRM plan gates, Zapier, and API/CLI.

Reports cover account and campaign performance and can compare up to five campaigns, but reporting lag, attribution accuracy, and client-facing dashboards were not established (outreach results). For category context, see how CRM handoffs differ from campaign execution.

Users, Agencies, Resale Claims, and Missing Client Controls

Overloop's documented licensing unit maps one paid user to one LinkedIn identity (connection management). Published Starter and Growth surfaces show an Admin role. User and View-only language appears under Enterprise. The evidence did not establish whether lower plans can add another named user or whether View-only consumes a paid seat. Multiplying seat prices therefore proves a cost scenario, not a usable lower-plan team topology.

Sources checked September 2026: pricing and role wording, connection management, and agency marketing.

The agency page explicitly markets “white-label” resale and a 3–4× margin. That establishes a commercial playbook, not in-product custom domains, branding controls, client portals, workspace isolation, sender rotation, lead distribution, or audit logs. None of those controls was documented in the reviewed current surfaces; private Enterprise arrangements remain possible but unestablished.

Scenario arithmetic from Growth monthly and annual rates; a public volume discount was not found, which does not prove private discounting is unavailable.

The agency test is operational:

• invite two roles
• assign two client identities
• inspect contact suppression and visibility
• export each report
• observe billing

Until that is done, a 20-seat quote should not be mistaken for confirmed tenant isolation. For neutral setup context, see how multiple LinkedIn identities change account management.

Is Overloop Safe for LinkedIn?

Overloop's Smart Limits and restriction-recovery guide support a conditional—not confident—safety verdict. Its marketing says “Zero accounts banned” and “completely under the radar,” while its Help Center explains warnings, temporary restrictions, repeat suspensions, and possible permanent account loss (marketing claim; restriction guidance). Side by side, these documents show acknowledged risk, not an incident rate or intent.

What I verified first-hand. On September 12, 2026, I reviewed the shipped source code for the current AI v1.0.8 package and the separate Classic v3.45.3 package. Both sent the full LinkedIn cookie jar to an Overloop account endpoint and performed some LinkedIn work locally. I found code injection into LinkedIn pages and direct LinkedIn requests, but no client-side traffic blocker. This establishes extension-side transfer and code paths—not backend retention, replay, cloud campaign execution, or the network LinkedIn sees (AI listing; Classic listing).

Both packages therefore act as session-upload bridges: they copy LinkedIn login cookies to the vendor. Whoever holds that cookie jar has session material that can authenticate without the password. Static review cannot show backend retention or replay.

Active Extension Detection (AED) is a label for LinkedIn-page code that probes specific installed extension IDs. If an ID is recognized, “installed” can be visible before a campaign acts. Current AED status was not checked for either listing, so it remains unknown. See how extension visibility works.

Extension packages checked September 12, 2026: Overloop AI listing and Overloop Classic listing. Public controls checked September 2026: Smart Limits, restriction guidance, privacy, and GDPR/DPA.

A residential or mobile IP comes from a home or phone network. A datacenter IP comes from rented server infrastructure. For a personal LinkedIn session, server origin can add a risk signal because ordinary users generally connect through residential or mobile networks. Overloop AI's IP class is unmeasured, so this is context, not a finding about its network. See how proxy class and quality affect automation.

Behavior matters too. Manual work can look automated when someone opens many profiles by URL or withdraws invitations at unrealistic speed. Smart Limits reduce volume exposure, but they cannot remove behavioral enforcement. Compare LinkedIn invitation limits.

No tool eliminates LinkedIn restriction risk.

What Overloop Reviews and Reddit Actually Show

The historical review sample is substantial by count but thin for the current product. Across 130 G2 reviews dated October 20, 2016 through December 15, 2024, the mean is 4.39/5. This aggregate belongs only to that G2 sample and time window (G2 profile). The trailing six months contain zero reviews. Only six fall in the latest 24 months, so there is no current AI-era aggregate to print.

Positive themes in those older generations include workflows, email outreach, and ease of use. Negative themes include reliability, pricing, and data quality. In the same 130-review G2 sample, data-quality pain appears in 28 reviews (21.5%). A different denominator applies to reliability: 15 of 29 reliability topic mentions are negative (51.7%). Neither historical ratio establishes current Overloop AI performance.

The anomaly scan flagged four small historical weekly windows. Three weeks had 3 reviews each, or 2.3% of the 130-review G2 sample per week. One week had 4 reviews, or 3.1%. It found no negative micro-cluster. These are timing patterns, not conclusions about why reviews appeared.

A stale Capterra snapshot had conflicting overall and functionality values but no usable review count or live recheck, so no Capterra aggregate is reported. The reviewed Trustpilot records contain zero reviews, and no current aggregate was confirmed. Two switch labels do not form a current migration pattern: one records Kaspr-to-Overloop, while the other is Prospect.io-to-Overloop self-lineage.

Reddit is thinner still: 16 unique posts carry 17 tool-tag instances, but zero tags appear in the available titles or post bodies. The tags may come from comments, so no quote or sentiment can be attributed to Overloop. The tag window overlaps the Sortlist acquisition, but timing alone does not establish causation, paid activity, or seeding.

Platform reference: G2, Capterra, and the unconfirmed Trustpilot candidate.

Historical Prospect.io/pre-AI voices; publication dates retained from the source records.

Historical Prospect.io/pre-AI voices; publication dates retained from the source records.

Who Overloop Is For — and Who Should Look Elsewhere

Documented use case: an individual seller or small team wants cloud-run contact sourcing, email finding, verification, email, and a bounded LinkedIn action set in one sequence. Starter covers the core workflow. Growth adds HubSpot, Pipedrive, REST API, three email accounts, and ten campaigns (pricing).

Test before deciding when: the buying case depends on verified current data quality, a known LinkedIn-facing network, InMail or broader LinkedIn engagement actions, Salesforce below Enterprise, or multi-client agency isolation. Agencies should not infer client topology from resale language. They need an invite, permission, reporting, and billing sandbox before scaling seats (agency page).

Sources checked September 2026: pricing, CRM gates, LinkedIn actions, and agency positioning.

The plan label alone should not decide the choice. The decisive issue is whether the buyer can validate the unresolved outcome or control behind the business case.

How Overloop Compares to Alternatives

Overloop's center of gravity is integrated sourcing, verification, email, and a narrower LinkedIn sequence surface at $69 per user monthly. The alternatives below solve different jobs, so feature totals would hide the real choice. The comparison uses architecture, recorded entry price, and one documented scope marker. Where the dated source record did not establish a product drawback, that uncertainty remains explicit rather than invented.

Snapshot sources and dates: Instantly, Lemlist, and ZoomInfo fetched 2026-04-22; Salesforge and Apollo.io fetched 2026-05-27. Prices may have changed.

The first row is LinkedIn-first and user-controlled but requires a separate email tool for non-LinkedIn sequences. Instantly centers email warmup rather than the reviewed tool's full data-to-LinkedIn path. Salesforge centers AI email positioning, while its measured output boundary remains unestablished here. Lemlist spans multichannel outreach, but its recorded price is stale. Apollo.io and ZoomInfo center sales data; database or intent scope does not answer LinkedIn execution, deliverability, or agency isolation.

See the deep comparison: Lemlist alternatives →

See all sales-outreach alternatives →

Where Linked Helper Fits

If Overloop AI's unmeasured cloud exit routing and unresolved agency topology affect the decision, evaluate a user-controlled LinkedIn-first architecture.

Linked Helper is a desktop application with a built-in browser; actions run on the user's computer or VPS, not a vendor execution cloud. Web Version provides login-based browser access to that VPS instance, keeping the session on user-controlled hardware during 24/7 operation. Linked Helper's security study explains this boundary.

• Session custody maps to the network gap: Local or VPS execution keeps the authenticated session and selected IP on operator hardware.
• Action depth maps to the narrower catalog: Scheduled post-engager collection, group/event messaging, skill endorsement, and AI-generated post comments are documented.
• Failure control maps to the missing reactive pause: Five identical failures trigger a four-hour pause for that action while others continue.
• Team pricing maps to linear seat cost: Licenses receive 10-50% seat discounts; 20 licenses receive 20%, and each runs one account at a time.

The trade-off is channel scope: Linked Helper has no native non-LinkedIn email sequence builder, so that channel requires a dedicated email tool. Overloop starts at $69 per user monthly; Linked Helper starts at $15 monthly, while 24/7 use may add third-party VPS and proxy costs. Teams prioritizing user-controlled LinkedIn execution and deeper LinkedIn-specific actions may want to evaluate Linked Helper too.

Methodology & Disclosure

This review separates first-hand research from checks that remain outstanding. The public-surface record is dated September 1, 2026. Research was finalized September 10, 2026. We inspected live pricing and signup pages in a browser. We also checked both Help Centers, current and legacy marketing and legal pages, public API documentation, status endpoints, and the available reviews and Reddit posts. Each fact was assigned to Prospect.io, Overloop Classic, or Overloop AI rather than transferred across generations.

In September 2026, we separately reviewed the shipped source code for the Overloop AI extension and Overloop Classic extension. We examined each published package independently. This was a static source examination, not an authenticated product run. It supports bounded client-side findings. It cannot establish backend storage, replay, vendor-cloud campaign execution, or the network identity LinkedIn sees.