8 Best AI Sales Tools in 2026 (Ranked & compared)

Quick summary:

The best AI sales tools to look at first in 2026 are FullEnrich for verified contacts your reps and AI agents can reach, Clay for building AI research workflows, and 11x for an AI SDR that runs outbound for you.

Whichever you pick, the AI scales what you feed it: a playbook that already works, contacts that are real and a person who reads the output.

FullEnrich is our product. It's ranked first, and its cons are listed. 11x and Artisan both use FullEnrich as a data provider.

What makes a great AI sales tool?

A great AI sales tool takes one specific job off a rep's week and hands back work a person can check before it reaches a buyer. There's plenty of week to win back: Salesforce's 2026 State of Sales survey of 4,050 sales pros found that "The average seller spends 40% of their time selling."

Check four things before the demo ends:

• Which job does it take? Research, writing, calling, call notes or CRM updates. If you can't name it, it won't move pipeline.
• Does it plug into your CRM, inbox and dialer? An agent without customer context guesses.
• Can a rep see its work before it goes out? Sources and drafts should be readable first.
• Where do its contacts come from? An agent working from bad data repeats its errors on every send.

For where AI fits in your process, see our AI sales prospecting framework.

Why trust us?

FullEnrich builds the contact data layer that sales teams and AI SDRs run on. Our page for AI agent builders lists 11x, Artisan and AiSDR among the products that use FullEnrich underneath, which is why two entries below carry a disclosure.

Most of the breakage starts with the data: 31.53% of the contact data we buy from providers fails our verification. FullEnrich is rated 4.8 on G2 from 246 reviews.

Best AI sales tools at a glance

The 8 best AI sales tools are FullEnrich, Clay, 11x, Artisan, Unify, Amplemarket, Gong and Lavender, and each one does a different job.

Vendor pricing pages and G2, October 2026.

1. FullEnrich

FullEnrich G2 rating: 4.8/5 (246 reviews)

The FullEnrich MCP page, where Claude, ChatGPT, Gemini and Microsoft Copilot connect to the same contact data.

FullEnrich is a B2B contact data platform that finds and verifies work emails, personal emails and mobile numbers for sales teams and AI agents. It doesn't write or send anything. It makes sure the emails and numbers your reps and agents use are real before anyone sends or dials.

Each request runs through 20+ providers in turn. A result that fails verification doesn't end the search: the request moves to the next provider. Because a credit is only spent when a verified result comes back, the bill follows the contacts you can actually use. The price per field is fixed, so the total depends on how many contacts are found.

The waterfall is managed for you: FullEnrich calls the providers in the order most likely to hit, and you can bring your own API keys for providers like ZoomInfo, Cognism or Lusha. Most teams use it as the contact step inside a bigger workflow: on its own, from Clay, n8n or Make, or from an AI assistant through the MCP.

Best for: B2B software companies, agencies and recruiting firms that want maximum contact data coverage & accuracy.

Key features

• Waterfall enrichment: work emails, personal emails and mobiles from 20+ providers, each verified before you see it. Mobiles are checked for line type and active status, so reps dial live mobiles, not landlines or dead lines. US numbers are also matched to their owner through carrier data.
• Search: build a prospect list by job title, location, industry, headcount, skills or target company, then enrich it in the same place. No Sales Navigator export and CSV round trip.
• Reverse email lookup: turn an inbound email, even a Gmail or Outlook signup, into a name, job title, company and LinkedIn profile, so the lead gets scored and routed instead of ignored. Available by API and MCP.
• MCP for AI assistants: search, enrich and look up emails from Claude, ChatGPT, Gemini or Microsoft Copilot. Ask for a type of prospect and get verified contacts back in the chat.

Pros

• Credits only go on data that's found and verified: 1 credit for a work email, 3 for a personal email, 10 for a mobile. Not found is free, and so is a landline.
• Unlimited users on every plan, and unused credits roll over (3 months monthly, 12 months annual).
• SOC 2 Type II, GDPR and CCPA.

Cons

• It doesn't write, send or sequence. You'll pair it with an outreach tool from this list.
• HubSpot works as a push of enriched contacts, not a two-way sync.

What users say: One reviewer who'd tried other tools first wrote, "As the tool queries multiple sources at once, the result rate is better than the tools I had tested before." The same reviewer calls the credit system transparent, since you only pay for what's found.

Pricing: Every new account gets 50 trial credits, and signing up doesn't ask for a card. Pro starts at $29/mo for 500 credits, or $26/mo billed yearly, and Enterprise is custom.

FullEnrich pricing page with the slider at 1,000 credits a month; the smallest Pro plan is 500 credits for $29.

Want to see what it finds on your own list? Try it on 50 free credits; you won't need a card.

2. Clay

Clay G2 rating: 4.6/5 (234 reviews)

Clay's Claygent page: each agent is a research step you set up inside a table.

Clay is an AI research and orchestration workspace where ops teams and GTM engineers build their own prospecting workflows, one table at a time. Each column is a step: find the company, research it with an AI agent, find the contact, write the first line. Each row runs those steps for one prospect.

For many teams, the value sits in the AI research columns: research and logic that no single data vendor sells.

The same structure drives the cost. Each enrichment or AI step that runs on a row counts as an Action, and a step that runs on your own API keys still counts as one Action, even though it uses no data credit. A 10-step table on 5,000 prospects uses 50,000 Actions. Launch includes 15,000 a month, and unused Actions don't roll over. So the plan you need depends on how deep your tables are and how many rows they run, not on how many people use Clay.

Someone also has to own the tables. A good workflow takes real build time, and when a provider changes or a step fails, the fix falls on whoever built it.

FullEnrich fits into that table as a single contact step. Clay lists "Find Work Email with FullEnrich" and "Find mobile phone with FullEnrich" as actions in its provider catalog. One FullEnrich column runs our whole 20+ provider waterfall, so you don't need a chain of single-provider columns for the same coverage, and fewer steps per row means fewer Actions. Pay in Clay credits, or connect your own FullEnrich account, which only bills for contacts found and verified (each run still counts as one Clay Action). Our Clay and FullEnrich template shows the setup.

Best for: Small B2B software companies and marketing agencies (under 50 people).

Key features

• Claygents: AI agents that research every company or person in a table and fill in what they find, so custom research runs at list scale.
• 150+ data providers in one workspace: combine sources in one table instead of signing a contract with each.
• Bring your own API keys: reuse provider contracts you already pay for and skip Clay data credits.
• Account Agents: propose CRM updates that a person approves before anything is written.

Pros

• The most flexible tool on this list: you can swap providers, prompts or logic without changing tools.
• Non-technical teammates can run workflows someone else built.
• A free plan lets you build and test a table before you pay.

Cons

• You track two meters, Actions and data credits, and only data credits roll over.
• HTTP API calls and CRM integrations need the Growth plan ($446/mo billed annually, $495 monthly).

What users say: Clay's depth cuts both ways. Davide F., a growth marketing specialist, wrote, "There are so many features and functions that, even though the basic learning curve is simple, you may need some time to fully understand everything." The same review calls the academy well done and the onboarding simple.

Pricing: Clay's Free tier covers 500 actions and 100 data credits every month. Launch is $167/mo billed annually or $185/mo monthly (15,000 actions; data credits shown as 3K on the plan card and 2,500 in the FAQ). Our Clay pricing breakdown goes deeper.

Clay's pricing page with annual billing selected: Launch at $167/mo and Growth at $446/mo.

Skip it if nobody on your team wants to build and maintain tables; Unify runs signal plays with less building.

3. 11x

11x G2 rating: 4.5/5 (43 reviews)

11x's outbound page: you set the audience and the goal, and the agent picks the play.

11x sells AI SDRs to teams that want outbound run by an agent: Alice for outbound email and LinkedIn, Julian for inbound calls and chat.

Disclosure: 11x uses FullEnrich as a data provider.

The plan is sized by new prospects per month. Growth covers 2,000 new prospects a month, which is 24,000 a year. That works when your market holds tens of thousands of good-fit buyers. If it holds only a few thousand, you run out of good-fit buyers within months and keep paying for capacity you can't use.

An agent also copies your playbook at volume. If outbound already books meetings with humans, Alice can carry more of it. If it doesn't, the agent sends the same message to more people faster. The ICP, the guardrails and how often a person reviews the output still come from your team. If you're weighing a build instead of a buy, here's how to build an AI sales agent.

The contract is the other thing to settle up front. Growth is billed annually, so ask about a trial or an early opt-out and get the terms in writing before you sign.

Best for: Mid-market B2B tech companies (51 to 1,000 people) selling into a large market.

Key features

• Alice, the outbound agent: researches every account and writes email and LinkedIn messages, working from your CRM leads or 11x's database of 400M contacts.
• Julian, the inbound agent: voice and chat agents that contact, qualify and book meetings around the clock, in multiple languages. It's priced separately from Alice.
• Outreach in 105+ languages: on the Pro plan, so one agent can cover several markets.
• Deliverability included: domain setup, warmup, inbox rotation and monitoring come with the plan, so there's no separate tool to buy.

Pros

• One G2 reviewer sums it up: "The research is the standout."
• Growth includes up to 5 users, so a small team shares one agent.
• Billing is per lead, so sending more follow-ups doesn't raise the bill.

Cons

• Growth is billed annually, and the page's own FAQ says it "starts at $36,000 per year", while the card price works out to $45,000.
• Christina S., quoted below, says Alice sometimes takes longer than expected to generate the messaging.

What users say: Christina S., a demand gen manager, explains why her team added a validation step: "We’ve also noticed that when cold-sourcing leads, some of the contact data can be out of date, so we end up needing an extra layer of validation on our side before moving forward."

Pricing: Growth is $3,750/mo for 2,000 new prospects a month. Pro and Enterprise are custom.

11x lists Growth at $3,750 a month; Pro and Enterprise go through sales.

Skip it if your total market is a few thousand buyers; the per-prospect plan will outrun it.

4. Artisan

Artisan G2 rating: 4.3/5 (70 reviews)

Artisan's homepage is built around Ava, its AI BDR.

Artisan is an AI BDR platform that finds leads, enriches them, writes and sends outreach, and books meetings for teams that don't have SDRs. Its agent is called Ava.

Disclosure: Artisan also uses FullEnrich as a data provider.

Plans are sized mainly by how many leads Ava contacts each month (about 2,500 on Team and 6,000 on Scale), plus mailboxes and dialer seats. Data and sending come with that volume, so what you're buying is outreach capacity.

How much Ava does alone is a setting you choose, and it's a real trade-off. With approval on, a person reads every email, which costs time but protects your brand. With approval off, Ava sends at full volume, and every mistake goes out under your reps' names.

Artisan itself now pairs Ava with people: in August 2026 it retired its "Stop hiring humans" slogan and hired its first human BDR.

Best for: Small B2B software companies (under 50 people) with no SDR yet.

Key features

• Built-in contact data: 250M+ B2B contacts, and Ava works through multiple sources, "checking each one sequentially until she finds a verified match."
• Approval gates you place: approve every email before it goes, or let Ava run fully on her own.
• Reply handling: when replies come in, Ava qualifies leads, handles objections and books meetings on your reps' calendars.
• Variant testing: Ava tests dozens of message variants per campaign and shifts volume to what works.

Pros

• Data, sequences and sending come from one vendor, so there's nothing to stitch together.
• Every email goes out in your reps' names from your own domains.

Cons

• Companies uploaded by CSV aren't enriched through LinkedIn, so those campaigns run email-only.
• The AI dialer is a per-seat add-on, and reviewers call it basic next to a dedicated dialer.
• Prices only come through sales.

What users say: In practice, the approval step stays on. Víctor G., a head of sales, wrote: "You have to be checking before allowing emails to be sent to ensure they are correct."

Pricing: Artisan doesn't publish prices. Its pricing page says "Plans are sized to your lead volume, mailboxes, and dialer seats."

Artisan's plan cards say "Pricing scoped on your plan" instead of showing a number.

Skip it if you already have SDRs and a sequencer; you'd be paying for a second outbound stack.

5. Unify

Unify G2 rating: 4.7/5 (44 reviews)

Unify's homepage pitches an outbound agent for each rep.

Unify is an outbound platform that turns buying signals and intent data into researched email sequences for reps.

Everything in Unify starts with a signal, so the value depends on how many good signals you have. A team with steady pricing-page traffic, product sign-ups or hiring activity at target accounts gives the plays plenty to fire on. A team with little traffic gives them very little. Website intent and signal-triggered automations also sit on the custom Business plan, so the plays that depend on them need that plan.

Setup effort depends on the play. Plays built on signals Unify already tracks, like job changes or funding, need little setup. Mapping your own product events into the CRM is the heavy part, because the agents can't guess which events matter to your business. Plays also carry the logic of whoever built them, so write down why each one exists.

Best for: Small B2B software companies (under 50 people) with steady website traffic and product signals to act on.

Key features

• Signal-triggered plays: job changes, funding, hiring and tech-stack changes start outreach while the timing is still fresh.
• Research agents: when a signal fires, they "find accounts, pull contacts, research fit, and qualify lists", so reps start from a qualified list instead of building one.
• AI copywriting: drafts grounded in that research and your voice, for a rep to review instead of write.
• Waterfall data: 1.1B+ people from 40+ data sources, with field-level confidence scoring that picks the most reliable provider's value for each field.

Pros

• Free for up to 3 seats with limited credits, so you can try it before paying.
• Unused credits carry over for up to 12 months.
• A remote MCP server brings Unify's research into AI assistants.

Cons

• Website intent, signal-triggered automations, the Power Dialer and read-write CRM sync sit on the custom Business plan, billed annually.
• Phone enrichment averages 4 credits per record.
• One reviewer, rating it 0.5/5, reports prospects who'd left their company years ago.

What users say: A mid-market reviewer confirms the mapping takes effort: "The initial setup of Unify was pretty complex, requiring a fair bit of heavy lifting because of the amount of custom event mapping needed."

Pricing: Base is $20/seat/mo with 800 credits per seat and Pro is $60/seat/mo with 2,400, both billed monthly. Business is custom.

Unify publishes per-seat prices for every plan except Business.

Skip it if your site gets little traffic and you have few product signals; the plays will have little to act on.

6. Amplemarket

Amplemarket G2 rating: 4.6/5 (700 reviews)

Amplemarket's Duo page pitches a personal AI assistant for every rep.

Amplemarket is an AI sales copilot that spots buying signals and drafts multichannel sequences for SDR teams. Its assistant, Duo, stops at the draft: a rep reviews and sends every message, and Duo "never sends or changes things without visibility".

Plan for sending capacity early. The Startup plan includes 2 users with 2 mailboxes each on an annual term, and more volume means more mailboxes and users. Cost grows with how much you send, so size the plan on next year's volume.

Best for: B2B software companies with an in-house SDR team, from startup to mid-market.

Key features

• Duo Copilot: scans your market daily for buying signals and builds "a fully drafted, true multichannel sequence tailored to that specific person and signal." Included from the Startup plan.
• Duo Voice: AI calling inside the same platform, on the Growth plan.
• Duo Inbox: "Automatically get draft replies for every prospect email", on Elite or as an add-on.
• Built-in verified data: 200M+ contacts, and the vendor says it "runs every email and phone through a multi-source verification waterfall," so there's no separate data tool to buy.

Pros

• A published entry price, unlike Artisan or Gong, and every plan comes with a free trial.
• MCP access lets reps find, enrich and add leads to sequences from Claude, ChatGPT or Cursor.

Cons

• Even the $600/mo Startup plan is an annual term; there's no month-to-month plan.
• Signal-based drafts need a rep's edit before they sound natural.

What users say: The drafts are a starting point, not a finished email. Deva D., a BDR, wrote: "I’d like more control over the AI-generated messaging, though. I still need to edit it before sending so it sounds like me and fits the person I’m contacting."

Pricing: Other lists print Amplemarket at about $100 per user a month, or just "custom". The published entry plan is Startup at $600/mo for 2 users on an annual term; Growth and Elite are custom. Our Amplemarket pricing guide covers the plans in detail.

Amplemarket's Startup plan shows $600/mo with 2 users; Growth and Elite are quoted.

Skip it if you can't sign an annual contract yet; Unify bills Base and Pro monthly.

7. Gong

Gong G2 rating: 4.7/5 (6,777 reviews)

Gong's AI agents page, built on the calls, emails and CRM data already in Gong.

Gong is a revenue intelligence platform built on call recording. It records your sales calls and runs AI on the recordings, emails and CRM data to flag deal risk, coach reps and fill CRM fields.

The recordings are what you're really paying for. Every AI feature works from them, and the MCP lets you query the same transcripts from Claude or ChatGPT. We use it that way ourselves.

The bill now has three parts: a per-user license, a platform fee, and since June 2026, Gong credits for AI Trackers, the MCP server and API-based AI workflows. Your company gets a default allocation based on seat count, shared across everyone. One heavy feature switched on for the whole team draws from the same pool as everyone's MCP queries, so decide which agents run on whose calls before you turn them on.

Deal-risk flags have a similar catch. A warning only changes the outcome if someone acts on it in the forecast meeting. Otherwise the CRM still says you're on plan while Gong says three deals are dying.

Best for: Mid-market B2B software companies (51 to 1,000 people) whose sales team records nearly every call.

Key features

• AI Deal Monitor: flags hidden deal risks so managers step in before a deal slips.
• AI Data Extractor: "automatically fills out CRM fields with no rep input required", so the CRM reflects what was said on the call.
• Agent Builder: describe a process in natural language and Gong builds a custom agent around it, so your own playbook runs without engineering.
• MCP server: ask questions about calls and deals from Claude or another AI assistant, outside Gong.

Pros

• Agents and coaching work from what buyers actually said, not from rep notes.
• The transcripts stay useful even if you change AI tools later.

Cons

• AI credits are pooled across the company, and MCP queries draw on them too.
• The price only makes sense if most users go beyond recording; teams that mainly want notes and summaries pay for a lot they don't use.
• Gong Enrich, its contact-data add-on, "cannot be disabled" once you enable it.

What users say: Even fans read the analysis before trusting it. Marissa W., an enterprise AE, wrote: "I still need to double-check the analysis, just in case there are hiccups with specific terms or with what was actually said."

Pricing: Gong doesn't publish prices. Its pricing page says "Licenses are priced per user" plus "a platform fee based on the number of users supported." Third-party buying platform Vendr puts the median contract at $55,430 per year.

Gong's pricing page asks for your team size before it gives a quote.

Skip it if you mainly want call notes and summaries; a lighter note-taker covers that for far less.

8. Lavender

Lavender G2 rating: 4.8/5 (63 reviews)

Lavender's homepage leads with Ora, its email-sending agent.

Lavender is an AI email coach that scores cold emails as you write them, built for reps who write their own outreach. Lavender's Coach feature "scores your email or template to find and fix anything that hurts your reply rate."

The score measures an email against patterns that tend to get replies. That's its strength and its limit. It lifts a weak writer to a solid baseline fast. It can't tell a strong writer much they don't already know, and a bland email that follows every pattern can still score well. Treat the score as a floor, not a target, or reps start rewriting emails just to move the number.

Lavender's Ora agent is the separate sending option: it researches, writes and sends, but only to contacts you bring through "CSV uploads or Connect Salesforce". Each agent sends about 1,000 emails a month at $500, billed monthly with no annual commitment, so volume scales one agent at a time.

Best for: B2B software companies whose reps write their own cold emails.

Key features

• Coach: scores each email in real time and flags what hurts replies before the prospect sees it.
• Personalization Assistant: brings prospect data into your inbox while you write, so the opener isn't generic.
• Personal learning: reads your past emails to see what works for you and your team.
• Ora agent: for reps who'd rather not write at all, it researches, writes and sends to your own list.

Pros

• It builds the rep's own writing skill instead of replacing it.
• It works wherever reps already send email: Gmail, Outlook, Outreach, Salesloft, HubSpot and more.

Cons

• Most G2 reviews are from 2023.
• No emails or phone numbers. You need a source for the list.
• Team pricing jumps: Teams starts at $8,500, with no billing period listed.

What users say: The coaching angle is what fans mention. An AE wrote back in 2023, "Most products write the emails for you while Lavender teaches you the principals of what makes a good email so you learn to write it yourself."

Pricing: Basic is free for 5 emails analyzed a month. Starter is $29/month or $319/year, and Pro is $49/month or $539/year.

Lavender's pricing sits on a plain text page, with Starter at $29/month or $319/year.

Skip it if your reps already write well, or you want the AI to write and send for you; Amplemarket drafts full sequences for a rep to approve.

Why does the same AI sales tool work for one team and flop for another?

The same tool works for one team and flops for another because the AI scales what you give it. Give it a playbook that works, a list that's real and someone who reads the output, and it scales that. Give it none of those, and it scales the mess.

Setup decides whether an AI SDR works. SaaStr's Jason Lemkin says results come down "almost entirely to how you set it up". His rule: "The first 1,000 emails need to be manually reviewed." His team "went through 47 iterations just to stop our AI from being too aggressive on pricing."

AI SDRs haven't lived up to the hype yet, by the numbers we found. The Growth Unhinged 2026 State of B2B GTM report (300 respondents) found "AI SDRs aren't living up to the early hype." Its best channels "were decidedly anti-AI": network and introductions first, intimate events second.

That doesn't mean buy nothing. It means AI pays off where a human motion already works, which is why Lemkin's rule and the test below come before any contract.

Clean data won't save a bad motion either. If the offer or the message is wrong, verified emails just deliver it faster. So the order is setup and playbook first, then contacts.

Once the motion works, contacts decide whether it survives at scale. A good motion on bad contacts burns your domain, and an agent sending at machine speed gets there faster than any rep.

How do you choose the right AI sales tool for your team?

Choose by the team you run: Amplemarket or 11x for an SDR team doing outbound, Artisan or the FullEnrich MCP for a founder selling alone, Clay or Unify for ops builders, and Gong for teams that live on calls.

SDR team doing outbound volume. Start with Amplemarket if you want reps on the send button, or 11x if outbound already works and you want an agent running it. Our list of B2B sales prospecting tools covers the rest of that stack.

Founder selling alone. Artisan puts data, sequences and sending in one place. If you'd rather stay in Claude or ChatGPT, the FullEnrich MCP finds and enriches prospects from a chat. Lavender helps if you write every email yourself.

Ops or GTM engineer who builds. Clay gives you the most control, and Unify turns signals into plays with less building. If you're picking an MCP to build on, see our best MCP servers for sales.

AEs and managers who live on calls. Gong is the one built on recorded calls, deals and coaching. For research before the call, our roundup of sales intelligence tools goes further.

Team already running an AI SDR that bounces. Check your bounce rate first. If it's climbing, fix the contacts before anything else. If it isn't, the problem is more likely your ICP or the message, and a better list won't fix that. For the contact fix, FullEnrich works by app, API or MCP.

Pick one job, then give the AI something real to work with

Every tool on this list multiplies its inputs: the motion you've proved, the contacts you load and the review you keep in place.

The playbook and the review habit are yours to build. FullEnrich covers the contacts, with verified emails and mobiles from 20+ providers and credits spent only on what's found.

Run your first list on 50 free credits, with no card to enter.

FAQ

Which AI tool is best for sales?

FullEnrich is best for verified contact data, Clay for AI research workflows, and 11x for an AI SDR running outbound. Amplemarket suits SDR teams that want AI drafts with a rep on send, Gong suits teams that live on calls, and Lavender suits reps writing their own emails. Pick one job, not a stack: as Gartner's Melissa Hilbert put it, past a certain point more AI doesn't mean more productivity.

Is there a free AI sales tool?

Yes: Clay, Unify and Lavender have free plans, and FullEnrich and Amplemarket offer free trials. Clay's free plan includes 500 actions and 100 data credits a month. Unify is free for up to 3 seats with limited credits. Lavender's Basic plan analyzes 5 emails a month. FullEnrich's trial comes with 50 credits and no card, and every Amplemarket plan starts with a free trial. None of them is enough to run full outbound for free.

What's the difference between an AI SDR and an AI sales assistant?

An AI SDR does the outbound work itself: it finds leads, writes, sends and books meetings, like 11x or Artisan. An AI sales assistant helps a rep do the job better, like Lavender scoring emails, Amplemarket's Duo drafting sequences for approval, or Gong analyzing calls. The SDR replaces tasks. The assistant speeds up a person.

Can an AI SDR replace human SDRs?

No. An AI SDR scales a motion humans already proved, and someone still has to check its output. Few teams have tried a full swap: the Bridge Group found AI SDRs first showed up as their own category in 2025, at 1% of respondents. SaaStr's Jason Lemkin says the first 1,000 emails need manual review.

Can I use ChatGPT or Claude as an AI sales tool?

Yes, for research and drafting, and more once you connect tools through MCP. FullEnrich's MCP works in Claude, ChatGPT, Gemini and Microsoft Copilot, so you can ask for a type of prospect and get verified contacts back. Amplemarket, Gong and Unify also offer MCP access. On their own, chat assistants don't have verified contact data.

Does FullEnrich work with AI sales tools?

Yes: 11x and Artisan use FullEnrich as a data provider, and Clay lists it as a provider for work emails and mobiles. You can also connect it by API, through n8n, Make or Zapier, or through the MCP in Claude and ChatGPT. With HubSpot, FullEnrich pushes enriched contacts in. It doesn't write or send outreach itself.