Landbase vs Salesforge: Which Should You Choose?

Landbase and Salesforge both show up on AI outbound shortlists, but they’re no longer solving the same problem. Landbase spent 2026 repositioning into a GTM data layer you query from a command line. Salesforge leads with Agent Frank, an AI SDR that prospects, writes, sends, and handles replies on its own.

We compared their pricing, documentation, and G2 reviews. Here’s what we found.

What is Landbase?

Landbase sells B2B GTM data through a command-line tool you install into Claude Code or Codex. That’s a real change from the all-in-one outbound platform it launched with. The pitch is semantic search: its GTM Omni model reads a query’s meaning instead of matching labels. A technical team can ask for companies using one sales tool that also posted RevOps roles in the last 90 days.

Landbase says its database covers 300M+ verified contacts, 24M+ companies, and 1,500+ enrichment fields, with signals recomputed as conditions change. It rates 4.5/5 on G2 across 13+ reviews. 

Pros

• CLI-native access to GTM data: One paste installs Landbase into Claude Code or Codex, so audience search, enrichment, matching, and export happen inside the agent environment your team already works in. 
• Plain-language querying: Natural-language and SQL-style queries run against 1,500+ enrichment fields. A June 2026 G2 reviewer describes building a usable list by writing a few sentences instead of stacking filters. 
• Custom signals you define yourself: Beyond the standard set of funding, hiring surges, leadership changes, and technology adoption, teams can build their own signals through the Advanced Dataset Creator. 
• $50 in free CLI credits: You can run real queries before talking to anyone, which is unusual in a tier where most vendors gate everything behind a demo.

Cons

• Buying is unclear in practice: An August 2026 G2 reviewer rating Landbase 1.5/5 reports being unable to sign up without a demo. That reviewer also had no idea how to buy credits, which sits oddly next to the free-credit offer. 
• Coverage claims are vendor-stated: Third-party reviews as recently as July 2026 still cite lower contact counts than Landbase publishes. That July review flags the coverage figures as worth confirming in a trial before you rely on them.

Pricing

Landbase publishes no price at any tier, and its own Claude Code guide points buyers to a scoping conversation instead. The CLI comes with $50 in free credits, so you can test queries before that call. Credits are the billing unit, but no per-credit rate appears anywhere public, and one reviewer flags credit purchasing as unclear.

What is Salesforge?

Salesforge leads with Agent Frank, an AI SDR built by a former VP Sales and sold as a standalone agent rather than an assistant your team drives. You define an ICP and upload a knowledge base of brochures, documentation, and pitch materials. Frank then prospects from what Salesforge calls a 500M+ contact search engine, writes personalized email and LinkedIn outreach, sends through rotated inboxes, and handles replies toward one of 3 configurable goals.

It runs in Auto-Pilot without supervision, or in Co-Pilot, where it drafts and waits for your approval. It also rates 4.6/5 on G2 across 137+ reviews.

Pros

• Priced per active contact: Frank bills on how many prospects he’s working at any moment, starting at 1,000. Adding people to your team costs nothing, and spend tracks pipeline capacity instead of headcount. 
• Co-Pilot mode lowers adoption risk: You can require human approval on every message rather than committing to full autonomy on day one. 
• Email and LinkedIn in one agent workflow: Frank runs email-only, LinkedIn-only, or combined outreach, with replies from both channels landing in a single inbox. 
• Deep configuration for the price: 9 tonalities, 21 named languages, 3 goal types, operating hours set to a specific time zone, and selectable personalization sources

Cons

• No buying signals: A June 2026 independent review rating Frank 3.9/5 describes him as a send engine with a contact database attached, drawing on single-source data with no waterfall fallback. Nothing distinguishes a prospect who just raised funding from one in a hiring freeze. 
• CRM logging sits outside the agent: Salesforge lists native CRM integrations covering HubSpot, Salesforce, Pipedrive, and Attio, but nothing published extends to Microsoft Dynamics. Salesforge also documents those connectors at the platform level, rather than as Frank’s own activity log. Any team that needs every AI-sent touch written back against a deal stage should pin that down on the demo. 
• Infrastructure and warmup sit outside the subscription: Salesforge’s own onboarding puts agent setup at a few hours. It still requires a 2-week email warmup before Frank can send, and it bills mailboxes separately, starting at $33 a month for 10.

Pricing

Agent Frank starts at $499 a month billed annually, or $599 a month billed quarterly, covering 1,000 active contacts with a published slider up to 50,000. Contacts above 2,000 a month cost $0.25 each, and email infrastructure is a separate line item from $33 a month for 10 mailboxes. Salesforge sells Frank only after a demo, with no free trial, though its sequencing platform is self-serve from $40 a month annually, or $48 billed monthly.

Landbase or Salesforge: Which should you choose?

These 2 tools now sit on opposite sides of the outbound stack, so the choice comes down to which half of the job you’re missing. A team with a clear ICP and nobody to work it has a different problem from a team that keeps stalling on list building. The situations below cover the most common version of each.

Choose Landbase if…

Your GTM work already runs inside Claude Code or a similar agent

You drive Landbase from a command line inside an agent environment. One paste installs it into Claude Code or Codex. From there, audience search, enrichment, matching, and export all happen in the same place your scripts and notebooks live.

That suits an operator who thinks in queries rather than filter panels, and who’d rather write a sentence describing the accounts they want than click through 40 checkboxes. If your team has a GTM engineer who already builds in that environment, the interface is a genuine advantage instead of a novelty.

You need data and TAM mapping more than you need a sending engine

Landbase’s current center of gravity is the data layer: TAM maps, lookalike analysis, enrichment across 1,500+ fields, and signals you define in plain language. If sequencing and deliverability are already handled and your weak link is knowing which accounts to work, that’s the problem this solves.

The $50 in free CLI credits also let you test coverage against a real target list before a sales conversation. That’s worth doing, given that the coverage figures are vendor-stated. Teams who want a packaged outbound product with a conventional interface should confirm during a demo which version of Landbase they’d be buying.

Choose Salesforge if…

You want autonomous outbound without an enterprise contract

Salesforge prices Agent Frank at a fraction of the enterprise AI SDR tier. Its per-active-contact model tracks your cost to how many prospects you’re working, rather than how many seats you fill.

At $499 a month billed annually for 1,000 active contacts, it’s a credible option for a team that can’t sign a 5-figure annual deal. Quarterly billing shortens the commitment further at $599 a month. Co-Pilot mode also lets you keep approval rights over every message while you build confidence, which matters when the alternative is handing a brand-new agent your domain reputation.

You have a broad ICP and no sending infrastructure of your own

Salesforge publishes its own fit criteria, and they’re specific: ACVs between $5K and $100K, decision-makers at startups through mid-market, and a target universe of at least 3,000 businesses. Frank arrives with prospecting, copywriting, sending, warmup, and reply handling in one place, which suits a team with nobody dedicated to outbound and no mailbox stack to plug into.

Megaforge, the premium infrastructure option, spreads sending across multiple email providers so a burned domain has a fallback. Budget for the 2-week warmup before anything goes out, and for infrastructure as its own line item.

Skip the demo

We’ll do the work right now

Drop your URL and we’ll send back outbound strategies, a few real target companies, and a pitch written to you as a prospect.

Then reply with questions, pushback, or anything else on your mind. The AI takes it from there.

No call required. The AI handles every reply itself.

Why AiSDR might be a smarter third option

Landbase gives a technical team sharper queries against a database it describes but doesn’t let you verify. Salesforge gives a small team an agent that sends, without the signals to tell it when. Both leave the same piece open: deciding what the campaign should be in the first place. 

AiSDR closes that piece first, and then executes on it.

Ami AI Strategist

Neither tool decides what your campaign should be. Landbase answers the query you write, and Frank works from the ICP and knowledge base you hand it. Ami starts earlier. It reviews your offer, your CRM data, and your past campaigns, and then suggests specific audiences and niches for Live AI search to go find, based on the goals you set.

Ami has trained on more than 14,000 campaigns launched on the platform, so its plays come from what has already worked rather than from a blank prompt. It takes about 20 minutes to analyze your site and build a campaign, and you review and launch in 2 clicks. 80% of AiSDR customers use AI Strategist instead of building campaigns by hand. 

Live AI search

Vendor-stated coverage figures are hard to check, and both tools ask you to take theirs on trust. AiSDR skips the database question by building the list when you need it. Live AI search runs a plain-text query against the open web and finds the people who match. That includes ultra-niche ICPs that filter panels miss, with contact data valid as of today.

Because the search happens at the moment you run it, there’s no decay between when a record was collected and when your message lands. You also stop paying for coverage you’ll never query. For a team that has watched a licensed database go stale between renewals, on-demand list building shows up directly in bounce rates and reply rates.

Intent & CRM data

Frank’s clearest documented gap is timing, since he has no buying signals and no native CRM connection to log what happened. AiSDR treats both as core. Website visitors, LinkedIn profile visitors, LinkedIn social engagement, and LinkedIn keywords are all available as signals in one place. Outreach fires when someone shows a public, verifiable reason to hear from you.

Deep native integration with HubSpot and Salesforce processes, scores, and enriches your account data for both inbound and outbound leads, and the AI reaches out only to accounts that qualify. Your team stops doing CRM hygiene by hand, and the record of every touch stays where your pipeline reporting already lives.

Campaign Builder with multichannel conditional sequencing

Salesforge covers email and LinkedIn, and Landbase’s execution layer is unclear after this year’s repositioning. AiSDR’s Campaign Builder runs email, LinkedIn messages, connection requests and InMails, and calls in one flow. Text, AI voice notes, AI videos, and memes are all available as mediums inside a sequence. Conditional logic sits behind a drag-and-drop interface, so a follow-up can branch on what the prospect did rather than firing on a fixed timer.

AiSDR also handles the infrastructure most vendors bill separately: mailbox provisioning and configuration, continuous warmup, deliverability tests, and inbox health monitoring. Setup runs 5 to 7 days from kickoff to first campaigns live, and the platform replaces 8+ tools a team would otherwise stitch together.

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