Clearbit Reveal Alternatives After the HubSpot Breeze Switch

Clearbit Reveal is fully retired for any team not running HubSpot. The Logo API shut down on 8 December 2025. Some existing accounts keep working legacy API keys, but new standalone API access now requires an enterprise HubSpot contract, which closes the door for most of the teams who built on Clearbit before the acquisition.

What it dropped is the visitor identification layer that made Clearbit Reveal distinct from a plain enrichment API.

That gap leads to three consequences, and each one pushes you toward a different kind of replacement.

Why "visitor identification" covers two very different products

Visitor identification splits into two structurally different products, and mistaking one for the other means buying a tool that solves the wrong problem. Company-level identification, sometimes called reverse-IP matching, maps a visitor's IP address to the business behind it, and you get firmographic data about that company back. Clearbit Reveal lived entirely in this tier: it could tell you that a company visited your site, not that Sarah Chen did. Match rates in this tier are materially higher for enterprise office traffic than for remote or SMB traffic, since residential IPs rarely map back to an employer.

Person-level identification attempts something harder: resolving the actual individual behind a visit, name, title, email, using identity graphs built from cookie syncs, form fills, and third-party data partnerships. GDPR makes person-level reveal in the EU legally fraught, so most vendors geofence Europe down to company-level identification only. What person-level identification delivers, when it works, is data a sales team can act on directly: a named person, a title, a reachable email, for an account that merely warmed up.

Account-based teams running territory plays often argue that company-level is enough, and for a specific motion, it is: knowing that a target account visited is a valid trigger for an SDR to reach out. But company-level identification only confirms which account showed up. It cannot tell a rep whether to contact the CFO or the VP of Engineering, cannot personalize outreach to a named person, and cannot drive person-level ad retargeting on LinkedIn. The tier a team needs depends entirely on what happens next: if the downstream action is account-level, sequencing the account or alerting the AE, company-level identification does the job. If the downstream action is person-level, emailing an individual or retargeting them by name on LinkedIn, only person-level identification will do.

Match rate claims deserve scrutiny before any tool comparison starts. If a vendor claims 40% or higher person-level match rates, it's either misleading you or quietly blending company-level and person-level statistics together. And if a reported match rate doesn't separate AI agent and bot traffic from human sessions, it overstates what the tool is actually identifying, a problem this guide returns to later.

Diagnosing Which Clearbit Jobs Your Team Relied On

The most common mistake teams make in this transition is treating it as a single enrichment swap, when many contracts bundled Reveal and enrichment together under one invoice.

Start by identifying which Clearbit endpoints your team actually called. Person Enrich (/v2/people/find) returned an individual profile by email, and it maps cleanly to a contact enrichment API. Reveal (/v1/reveal) de-anonymized visitors by IP, and this is the one with no direct API equivalent among current replacements: most deliver data through a JS snippet and webhook rather than a synchronous REST call.

Four use-case lanes fall out of that endpoint inventory, and each one points to a different section of this guide. Lane 4 covers teams that used Reveal to trigger personalization, ad retargeting, or automated outbound sequences; they need a platform that connects identification directly to downstream GTM workflows.

The sections that follow address each lane in turn, starting with the tool that covers the most ground across Lanes 3 and 4.

Maverick Intelligence: person-level visitor identity with full enrichment and stack-agnostic delivery

For teams that need person-level visitor identity delivered into any CRM or workflow, not only HubSpot's, Maverick Intelligence is the most complete answer to what Clearbit Reveal promised but rarely delivered at the individual level. Reveal, at its ceiling, returned a company record. Maverick returns a person record with a behavioral journey attached to it, so it closes the exact gap Reveal left open.

Per visitor, Maverick identifies name, job title, company, LinkedIn profile, a business email (matched to the company domain where possible), a personal email, and a phone number filtered against do-not-call lists. It layers on classified seniority and job function, region, visit count, an ICP hot-lead flag, and CRM status, whether the person is already in the CRM, not yet in it, or already a customer. It also captures the traffic source and ad platform, Google, Meta, or LinkedIn, that brought the visitor in, which turns paid attribution into an output of identification.

Integrations are built to be stack-agnostic. Maverick also detects and classifies AI agents, including ChatGPT, Claude, and thousands of other crawlers, separating them from human sessions so that the match rate a team sees reflects actual people. That detection also opens a use case no Clearbit-era tool addressed: knowing which AI systems are researching your product on a buyer's behalf.

Agencies get partner accounts with a single login, where each client sits as a tracked domain with its own domain-scoped API key, a structure Breeze Intelligence does not extend to agencies outside HubSpot. Taken together, Maverick is the strongest fit for Lanes 3 and 4: teams that need named individuals rather than just accounts, real-time delivery into whatever CRM they run, paid media attribution tied to identified visits, and visibility into AI agent traffic. It fits agencies managing several client domains under one roof just as well.

Company-level visitor identification tools for account-based teams that don't need named individuals

When the downstream action is alerting an account executive that a target account has started showing up on the site, company-level identification does that job at a higher match rate and with fewer compliance headaches than any person-level tool.

Warmly is squarely in the territory Clearbit Reveal used to occupy. It identifies visiting companies, resolves to the person level on roughly 15% of visits, enriches records as they come in, and routes alerts to Slack, live chat, or automated outbound sequences. Pricing runs $10,000 per year for the AI Web-Deanonymization tier and $30,000 per year for the Inbound Autopilot tier. Warmly fits teams that want identification and automated SDR routing in a single product and have the budget for an annual commitment.

Leadfeeder, now part of Dealfront, has refined company-level IP-to-company matching for more than a decade. It's the better fit for Lane 2 teams running account-based motions with significant European traffic volume, where person-level identification runs into GDPR constraints that company-level matching avoids.

Person-level identification tools for teams prioritizing named US visitors on a tighter budget

At lower price points, person-level identification narrows in scope: coverage concentrates on US traffic, enrichment fields per record shrink, and integration depth drops. That trade-off suits some teams, but it works against others, because what the sales motion needs downstream differs.

RB2B identifies individual US persons, not just the companies they work for, who visit a site. Pricing starts at $79 a month for Starter, $149 for Pro, and $199 for Pro+. RB2B fits Lane 3 teams that want person-level identification of US traffic at low cost, where a Slack ping with a LinkedIn profile is enough to trigger outreach, and where the team can live without CRM sync, journey data, or coverage outside the US. A Slack notification with a LinkedIn link is a starting point for a rep to research, not a complete lead record. There's no email, no phone, no behavioral journey, no ad attribution attached to it.

Vector pairs visitor identification with ad audience building, syncing identified contacts to LinkedIn, Google, Meta, Reddit, TikTok, and X for retargeting. It claims person-level match rates of roughly 15 to 30%. Pricing starts at $399 a month for 2,500 identified visitors and rises to $999 a month for 10,000. If your primary activation motion runs through paid retargeting of identified visitors rather than direct sales outreach, Vector suits your Lane 4 team.

Enrichment API replacements for teams that only need to replace the data endpoints, not Reveal

Teams that built pipelines on Clearbit's enrichment endpoints need a data API replacement, not a visitor identification tool, and for most of them the migration is a code-level swap of base URL and authentication header rather than a rebuild.

Company Enrich maps to People Data Labs' company enrichment endpoint, /v5/company/enrich?website=, authenticated with an X-Api-Key header, at comparable match rates to Clearbit's; Apollo's /api/v1/organizations/enrich?domain= works as an alternative at slightly lower match rates. Combined Enrich, which returned person and company data in one call, has no single drop-in replacement: PDL requires two separate calls (person, then company), while Enrichlayer's /api/v2/profile endpoint returns a combined profile from a LinkedIn URL. The Logo API maps to Logo.dev, which requires only a single URL string change and no authentication.

Clay is worth separate mention for teams whose Clearbit usage was never a simple domain-to-firmographic lookup. It is a tool-agnostic enrichment workflow platform, and it runs waterfall enrichment across more than 200 data providers and AI research agents, so you can orchestrate your own fallback logic instead of calling a single provider and accepting whatever it returns. That makes it the better fit for teams running multi-field enrichment with conditional logic, rather than those replacing a single clean endpoint call.

If your stack also depended on Reveal, treat that as a separate purchase from this enrichment migration. The lanes and tools covered above address that decision directly.

How AI agent traffic inflates visitor counts and degrades match rates

Any visitor identification tool that fails to separate AI agent and bot traffic from human sessions overstates the match rate a sales team can actually act on, and the scale of that overstatement is growing.

The problem no longer yields to simple user-agent inspection. That behavioral shift happened for meta-externalagent and meta-webindexer in July 2026, but meta-externalads had made the same switch earlier, in May 2025.

Reliable detection requires more than inspecting a header. It requires validating IP ranges against what providers actually publish: OpenAI publishes IP ranges for GPTBot, OAI-SearchBot, and ChatGPT-User; Anthropic publishes its own crawler IP ranges; Perplexity publishes ranges for PerplexityBot and Perplexity-User. For the adversarial crawlers that spoof their identity rather than disclose it, detection depends on IP reputation scoring, behavioral analysis, rate limiting, and cryptographic identity verification through Web Bot Auth. A robots.txt directive stops nothing on its own.

The practical consequence for anyone comparing tools: a match rate from a vendor that doesn't filter AI agent traffic isn't comparable to a match rate from one that does, because the denominator in the first case includes sessions no tool should get credit for identifying. If you are evaluating a replacement, ask vendors directly whether reported match rates exclude AI agent and bot sessions, and ask what detection method backs that exclusion.

There's a second angle to this traffic that goes beyond cleaning up a metric. This use case is one no Clearbit-era tool addressed, and it has become a genuine differentiator inside the visitor intelligence category.

Paid media attribution as an output of visitor identification

Visitor identification does more than backfill the pipeline gap Clearbit left behind. It corrects a structural attribution problem, one that makes every paid channel look weaker than it actually performs.

CRM lists of contacts sourced from visitor identification can sync dynamically to ad platforms as exclusion audiences, so ad spend stops chasing people already in a sales conversation. LinkedIn match rates for business emails uploaded as suppression lists run roughly 60 to 80%, with Google and Meta running lower but still meaningful. Retargeting an already-identified visitor through display ads costs multiples more per conversion than reaching that same person through direct outreach, so once you know who visited, you can choose deliberately between an ad impression and a direct email.

Making any of this work requires a specific capability from the identification tool itself: it has to capture not just who visited, but the ad source and platform, Google, Meta, or LinkedIn, responsible for that visit, and then sync identified visitor lists and suppression audiences back to those platforms automatically. Identification improves attribution; it doesn't guarantee a specific return, and any ROI case built on it should be read with that distinction in mind.

Matching each use-case lane to the tool that fits it, and the questions to ask before signing

The right replacement for Clearbit Reveal is the one whose output matches the action your team will actually take with it once a visitor is identified.

For Lane 1 teams running enrichment only on a non-HubSpot CRM, People Data Labs offers a like-for-like endpoint migration, Clay suits enrichment logic built on waterfalls and fallback steps, and Cognism offers stronger European data coverage. Lane 2 teams, running company-level identification for an account-based motion, should look to Leadfeeder/Dealfront where EU traffic volume and compliance requirements dominate, or to Warmly where automated outbound routing needs to sit alongside identification. Lane 4 teams, person-level identification with full enrichment, any CRM, and pipeline activation, should look to Maverick Intelligence: named individual records with email, phone, and LinkedIn, a full behavioral journey, CRM sync across HubSpot, Salesforce, and Attio, ad platform attribution, webhook and API delivery, and AI agent detection that keeps the reported match rate honest.

Before you sign with any vendor, get a direct answer to five questions. And is there a standalone API or webhook available for custom workflows, or is the product dashboard-only?

For most teams replacing Reveal for genuine pipeline activation, rather than simple account warming, the decision that matters most is the move from company-level to person-level identification. That one choice determines the entire shortlist that follows it.