Landbase vs Persana AI in 2026: Natural language account search vs intent-signal automation at scale
Landbase turns a plain-English description into a qualified account list. Persana AI aggregates 100+ data sources and 75+ intent signals, then lets AI agents act on those signals the moment they fire.
Landbase makes account search and AI qualification free at every tier; Persana AI charges credits for company and people searches beyond the free tier's 50 credits.
Persana AI tracks 75+ buyer intent signals including funding, hiring, G2 reviews, and competitor activity across 100+ data sources; Landbase's natural language search covers tech stack and headcount but does not publish a comparable named signal count.
Persana AI is in the process of joining forces with Rox, introducing near-term product uncertainty; Landbase has no comparable pending merger.
Landbase charges 1 credit per verified email and 10 credits per phone number; Persana AI charges the same 1 credit per email and 10 credits per phone number rates, making direct cost comparison at the contact level nearly identical.
Persana AI's top self-serve tier (Pro) runs $400/month; Landbase's top self-serve tier (Professional) runs $299/month, both before enterprise custom pricing.
Landbase was named a Gartner Cool Vendor and raised a $30M Series A; Persana AI's credit rollover is limited to annual plans, while Landbase does not clearly publish rollover terms.
Landbase and Persana AI are the closest direct competitors in this batch: both are credit-based B2B data platforms using AI to shortcut prospecting, and both offer a genuinely usable free tier before you pay anything. The difference is in what each treats as the primary product. Landbase leads with natural language account search, letting you type a complex query and get qualified companies back, with search and qualification always free and only verified contact delivery costing credits. Persana AI leads with intent signal breadth, tracking 75+ live buying signals across 100+ data sources and letting AI agents trigger outreach automatically when a signal like a funding round or a new SDR hire fires. Both are strong data layers; the choice comes down to whether you value precise query construction or automated signal-to-action speed more.
The tools at a glance
Landbase
GTM data platform that uses AI agents to find, qualify, and prioritize B2B accounts from a natural language prompt.
Landbase's pitch centers on the query itself. A plain-English prompt, "US SaaS companies with $10M to $50M ARR using Salesforce and HubSpot with 50+ employees in engineering," runs through the GTM-2 Omni model, trained on more than 50 million GTM campaigns, and returns matches that would take custom Clay code or manual Apollo filtering to approximate.
Every result carries a free AI qualification score before any credit is spent, so a rep filters a large result set down before paying for anything, and enrichment only charges for verified results, an email at 1 credit and a phone number at 10, with failed lookups free. The free tier's 1,000 credits, worth roughly $49, need no card to start.
What Landbase does not do is track live, ongoing signals the way a dedicated intent platform does. It qualifies accounts against your stated criteria at a point in time, rather than continuously monitoring 75+ external signal sources for buying-window triggers the way Persana AI does.
| Feature | Free $0 | Starter $49/mo | Most Popular $149/mo | Professional $299/mo |
|---|---|---|---|---|
| Credits included | 1,000 (one-time) | 1K/mo | 3.5K/mo | 7.5K/mo |
| Natural language account search | Free | Free | Free | Free |
| AI qualification scoring | Free | Free | Free | Free |
| Cost per verified email | $0.049 | $0.049 | $0.043 | $0.040 |
| Live buyer intent signal monitoring | ✗ | ✗ | ✗ | ✗ |
| Credit card required | ✗ | ✓ | ✓ | ✓ |
Persana AI
AI sales prospecting platform with 100+ data sources and 75+ buyer intent signals to find and engage leads on autopilot.
Persana AI's strength is signal breadth married to automation. Tracking 75+ signals, funding rounds, executive hires, G2 review activity, competitor tool changes, website visits, and keyword intent, across more than 100 data sources, it aggregates what would otherwise be several separate subscriptions into one interface.
AI prospecting agents act on those signals directly: feed an agent your ICP in natural language and it builds a validated list, or configure a signal trigger and it writes a personalized first email based on what it found about that specific prospect, running continuously rather than waiting for a rep to log in. An email and phone waterfall across multiple providers raises contact accuracy above what any single source delivers.
The credit system requires discipline, phone numbers cost 10 credits each and add up quickly, and higher-volume plans push toward $400/month at Pro. The pending merger with Rox is also a real near-term consideration, since existing plans should be honored but product direction may shift.
| Feature | Free $0/mo | Starter $85/mo | Growth $151/mo | Pro $400/mo |
|---|---|---|---|---|
| Credits included | 50 | 2,000/mo | 5,000/mo | 18,000/mo |
| Buyer intent signals | 75+ (limited access) | 75+ | 75+ | 75+ |
| AI Agents | ✗ | ✓ | ✓ | ✓ |
| Autopilot AI Agents | ✗ | ✗ | ✗ | ✗ |
| CRM Integration | ✗ | ✗ | ✓ | ✓ |
| Credit Rollover | ✗ | ✗ | ✓ | ✓ |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Natural language account search | Yes, core feature | Yes, natural language ICP list building |
| Free search and qualification | Yes, free at every tier | Search free up to plan limit |
| Live buyer intent signal tracking | No dedicated live signal layer | Yes, 75+ signals |
| Data source / provider count | Not prominently published | 100+ providers |
| AI agents for research and outreach copy | AI qualification, not outreach copy | Yes, research and message writing |
| Email waterfall verification | Not described as a waterfall model | Yes, email and phone waterfall |
| CRM integration | Not prominently documented | Yes, from Growth up |
| Free tier credits | 1,000 (one-time) | 50 |
| Top self-serve tier price | $299/mo | $400/mo |
| Pending M&A uncertainty | None | Yes, joining forces with Rox |
Which should you choose?
Of all the pairs in this batch, this is the one where the two products genuinely compete for the same buyer and the same budget line. Both are credit-based, both offer a free entry point, and both price contact enrichment at nearly identical per-result rates. The real differentiator is philosophy: Landbase is confident that a well-constructed natural language query, with search and qualification always free, is the highest-leverage part of the workflow. Persana AI is confident that live signal monitoring across 100+ sources, married to autonomous agents that act the moment a signal fires, is what actually moves the needle on timing. The Rox merger is a genuine near-term risk factor for Persana AI that a cautious buyer should weigh, even though existing plans are expected to be honored.
Bottom line
Choose Landbase if your team runs complex, criteria-heavy account searches and wants qualification and search to cost nothing regardless of plan. Choose Persana AI if speed-to-action on live buying signals, a company just raised a Series B, a target account just posted an SDR job, matters more than query sophistication, and you are comfortable with the platform being mid-merger with Rox. Either way, run the free tier on both before committing, since the two products are similar enough in cost structure that hands-on testing against your actual ICP will settle the decision faster than reading a comparison.
Frequently asked questions
Is Landbase or Persana AI better for tracking buyer intent signals?
Persana AI is purpose-built for this: it tracks 75+ signals including funding announcements, executive hires, G2 review activity, and competitor tool changes across more than 100 data sources, with AI agents that can trigger outreach automatically when a signal fires. Landbase does not publish a comparable live intent signal layer; its strength is natural language account search and free AI qualification rather than continuous signal monitoring.
How does the Rox merger affect whether I should choose Persana AI?
Persana AI announced it is joining forces with Rox, and while existing plans and credits are expected to be honored, the product direction and pricing may evolve over the next 6 to 12 months. This is a real factor for teams making a longer-term commitment; Landbase has no comparable pending merger or acquisition uncertainty at this time.
Which platform is cheaper for a small team just getting started?
Landbase's free tier gives 1,000 one-time credits with no credit card required, roughly 20 times more than Persana AI's 50 free credits. For ongoing monthly cost, Landbase's Starter tier at $49/month undercuts Persana AI's Starter tier at $85/month, though the two are not tracking identical feature sets at those price points.
Do Landbase and Persana AI charge the same for a verified email address?
Yes, both platforms use a similar per-result credit structure with 1 credit per verified email at their base rates, and 10 credits per verified phone number. This makes them unusually easy to compare directly at the contact level, unlike most B2B data providers with opaque per-attempt pricing.
Can Persana AI's AI agents fully automate outreach without human review?
Fully autonomous AI SDR functionality requires Persana AI's Enterprise tier with custom pricing; the standard AI agents on Starter and above handle research and message drafting but are not described as running unsupervised outreach end-to-end at those tiers. Landbase has no outreach or sending capability at any tier, so this comparison does not apply to it.
Which tool handles complex natural language queries like "companies using Salesforce and HubSpot with 50+ engineers" better?
Landbase is specifically built around this kind of multi-dimensional natural language query, combining tech stack detection, department-level headcount, and firmographic filters in one plain-English prompt. Persana AI's AI agents can also build validated lists from natural language ICP descriptions, but its headline differentiation is signal breadth rather than query complexity, so Landbase is the more direct fit for this specific use case.

