agentic AI trends

agentic AI trends

What are the alternatives to Clay and 11x for agentic GTM?

What are the alternatives to Clay and 11x for agentic GTM?

What are the alternatives to Clay and 11x for agentic GTM?

RC

Rob Catalano - Co-founder -

Rob Catalano - Co-founder -

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7 min read

7 min read

Alternatives to Clay and 11x fall into three groups: other point solutions that do one job well (enrichment, outbound, or AI SDR work), agents bundled with your CRM or data vendor, and agents you build on a foundation model. The more useful question is what all of them run on: shared context, governance, and outcome measurement.

A disclosure before we go further: wysdym is a vendor in this market, and we have a view. We don't sell a replacement for either product. We have tried to describe every option here in neutral, general terms, and you should check each vendor's own site for current capabilities.

What do Clay and 11x actually do?

They are different products that often appear in the same search.

Clay is widely used for data enrichment and for building prospect lists and outbound workflows. Teams use it to pull information about accounts and contacts from many sources into one working table.

11x offers AI "digital workers" aimed at sales development work such as outbound prospecting.

What they have in common is shape. Each focuses on one part of the go-to-market motion and aims to do it well. That is what we mean by a point solution, and it isn't a criticism. Focus is usually why a team picks them.

What are the main categories of alternatives?

If you are looking for an alternative, first decide which kind of alternative you mean. There are three, plus a fourth option that isn't an alternative at all.

  • Another point solution. Examples: Artisan, Outreach's AI features, other enrichment and sales-engagement tools. A good fit when you need one job done and the current tool isn't the right fit. Question to ask: how does it share what it learns with the rest of our stack?

  • CRM or data-bundled agents. Examples: Salesforce Agentforce, HubSpot Breeze, ZoomInfo's GTM products. A good fit when most of your GTM data and process already lives with one vendor. Question to ask: what happens to agents that sit outside this vendor's system?

  • Build your own. Examples: agents built on Claude, GPT, Gemini, or open models. A good fit when you have engineering capacity and a specific, well-defined workflow. Question to ask: who maintains the integrations, permissions, and memory?

  • Add a layer underneath. An operating layer that any of the above can run on. A good fit when you already run several agents, or expect to. Question to ask: does it work with the agents and CRM we already have?

Most teams end up with a mix. A point solution for enrichment, the CRM's built-in agent, and an assistant or two that individuals brought in. That is normal, and it is why the fourth option matters.

Which specific alternatives are worth a look?

The list above is about shape. If you want names, these come up most often in our conversations with GTM leaders, grouped by job. One line each, from the vendor's own public positioning at the time of writing. None is an endorsement.

Clay-style data and enrichment

  • Apollo pairs a large B2B contact database with sequencing and AI agents, positioned as one connected GTM system.

  • Cognism is a sales intelligence database with verified contact and company records and a European data focus.

  • FullEnrich runs a waterfall across roughly 20 contact-data vendors to find emails and phone numbers.

  • Exa Websets builds lists of companies and people from a natural-language prompt by searching the live web rather than a fixed database.

  • Bitscale describes itself as a GTM data layer that pushes enrichment and buying signals straight into Salesforce or HubSpot.

  • ZoomInfo GTM Studio is ZoomInfo's canvas for building audiences and triggering plays on its own data, so it belongs here and in the CRM or data-bundled group.

11x-style autonomous SDRs

  • Artisan sells Ava, an AI BDR that finds leads, personalizes outreach, handles replies, and books meetings.

  • AiSDR handles prospecting, research, personalized messaging, and meeting booking as a managed AI SDR.

  • Salesforge is a cold-outreach platform for email and LinkedIn with an AI SDR, Agent Frank, that runs sequences and follow-ups.

  • Landbase runs a set of specialized GTM agents over its own company and contact dataset and positions itself as GTM infrastructure.

  • Regie.ai is a sales engagement platform that pairs human reps with AI agents for prospecting and dialing rather than replacing the reps.

A caution on this category. In March 2025, TechCrunch reported that 11x had displayed logos of companies that were not customers, and that former employees described most customers leaving after early contract break clauses; 11x disputed the churn figure. Whatever the real number, autonomous outbound is where buyers most often tell us they got volume without results. Pilot with a clear bar for meeting quality before signing an annual contract.

Signal-to-play platforms

  • Unify combines intent signals, account research, and sequencing into outbound agents for every rep.

  • Common Room pulls buyer signals from product, community, and web activity into account intelligence and routes it to whoever should act.

  • Swan connects CRM, email, and warehouse data to agents that research, qualify, and draft outreach from one shared context.

  • Octave is a context layer for messaging that learns which positioning lands with which buyers and feeds it into the rest of the outbound stack.

  • Persana unifies lead discovery, enrichment, and outreach automation across 100+ data sources.

  • Gumloop is a general AI agent builder that GTM teams use to assemble custom signal-to-outreach workflows, so it sits close to the build-your-own group.

Notice how many describe themselves as a layer, a brain, a canvas, or infrastructure. Ask each the fourth question: does it work with the agents and CRM you already have, or only with its own?

How do you choose between them?

Start from the job, not the vendor list. Work through these in order.

  1. Name the job. Enrichment, outbound sequencing, research, inbound follow-up, and CRM hygiene are different problems. Be specific about which one you are solving.

  2. Check where your data lives. If one vendor holds most of your GTM data, its bundled agent has a head start. If your stack is mixed, weigh options that work across systems.

  3. Decide how much autonomy you want. A tool that drafts for human review is a different purchase from one that sends on its own.

  4. Ask about permissions and audit. Find out what the tool can write, who approves it, and whether you can export a record of what it did.

  5. Ask how success is measured. Activity counts are easy. Ask how the tool connects its work to a deal stage moving.

  6. Ask what it shares. Find out whether what the tool learns about an account is available to your other agents, or stays inside it.

The last question is the one buyers most often skip. It is also the one that decides whether your fifth tool makes the first four better or just adds another silo.

Should you replace a point solution or put something underneath it?

Often neither product is the problem. A good enrichment tool still enriches well. A capable AI SDR still prospects. The friction shows up between tools.

Each one keeps its own memory of your accounts. Each is wired to your CRM separately. Each has its own permission model and its own dashboard. Swap one point solution for another and all of that stays the same.

So before you replace anything, ask whether the gap is in the tool's skill or in what surrounds it. If the skill is weak, look at the alternatives above. If the skill is fine and the results still don't add up across the stack, the missing piece is underneath. We wrote about the underlying dynamic in Agents Are Becoming a Commodity. The Moat Is Underneath.

For a vendor-neutral set of questions about that underlying layer, see our guide to evaluating the platform your GTM agents run on. For third-party research on how teams are adopting agents, we maintain a source-linked page of agentic AI statistics.

Where does wysdym sit?

wysdym is the operating layer for agentic GTM. It grounds every agent in your GTM truth, runs the motion under your governance, and gets sharper with every deal you close. That puts us in the fourth group above: not a substitute for a point solution, but the layer that point solutions, bundled agents, and custom agents can share. The platform is CRM-agnostic and works with agents from any vendor. We are pre-revenue and building with design partners, so treat our view as a thesis backed by a live product, not by customer results. Operator, Cortex, and key integrations are live today; paid plans are [ROADMAP].

FAQ

Is wysdym an alternative to Clay or 11x?

No. Clay and 11x each perform a specific GTM skill. wysdym is the operating layer underneath agents and does not replace an enrichment tool or an AI SDR product.

Can you use a point solution and an operating layer together?

Yes. The two address different needs. The point solution does the task, and the layer underneath gives it shared context, governed access to your systems, and outcome measurement alongside your other agents.

What should I ask any agentic GTM vendor before buying?

Ask what the product can write to your systems, who approves those writes, how results are tied to deal outcomes, and whether what it learns is available to your other tools.

Are CRM-bundled agents enough on their own?

They can be if nearly all of your GTM data and process lives inside that one vendor. If your stack is mixed, check how the bundled agent handles the tools and data that sit outside it.

Enjoyed the read? There’s no book on agentic GTM.

Enjoyed the read? There’s no book on agentic GTM.

Enjoyed the read? There’s no book on agentic GTM.

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