Extruct AI vs SalesQL: Different Tools for Different Jobs
You're weighing Extruct AI against SalesQL, but here's the thing - you're comparing a company research engine to a profile-based contact extractor. They don't really compete. The "better" tool is whichever one matches your actual workflow.
Quick verdict: Pick Extruct AI when your bottleneck is building targeted company lists with custom firmographic and technographic fields. Pick SalesQL when you need fast emails and phone numbers while sourcing from professional profiles. And if your real problem is bounces and stale data, skip the scraping debate entirely and use a verified data layer instead.
What Is Extruct AI?
Extruct AI is built for company discovery and enrichment. It crawls public web sources, structures the findings, and lets you generate niche company lists with custom fields - exactly the kind of work that normally eats up a researcher's entire week. It can also support people workflows like decision-maker discovery and contact enrichment, but its core strength is turning messy company research into structured, usable data.
The main community signal right now is founder-led: the founder has posted in r/Automate describing it as a way to automate company research and pipeline building, including a claim of enriching 200K companies in a month. That's promising. But the buyer risk is obvious - there still isn't much independent review coverage to sanity-check those results, and some directories still show zero reviews.
Extruct AI is a strong fit for RevOps and growth teams doing list-building at scale. It's a weak fit for SDRs who just need verified emails today.
SalesQL: Budget Contact Extraction
SalesQL is a Chrome extension that does one thing: pull emails and phone numbers from professional profiles. It's popular because it's simple, cheap, and fast.
On reviews, the story is mixed in a useful way. SalesQL sits at 4.5/5 on G2 (166 reviews) and 3.8/5 on Software Advice (46 reviews). In practice, that usually means the product works but support and edge cases frustrate people. We've seen the same sentiment echoed in recruiting circles - "cheap and works for profile-only sourcing" is the general consensus.
Here's the catch: if your average deal size is modest - say sub-$10k - you probably don't need an all-in-one data platform. But you do need to stop blasting unverified exports. Cheap data gets expensive the moment your domain reputation tanks (and fixing it is a whole project - see sender reputation and email deliverability).
Feature Comparison
| Feature | Extruct AI | SalesQL | Edge |
|---|---|---|---|
| Best at | Company discovery + enrichment | Contact extraction from profiles | Tie (different jobs) |
| Data you get | Firmographic/technographic + custom fields | Emails + phones | Tie |
| Database size transparency | Not disclosed | 127M work emails | SalesQL |
| Chrome extension | Yes (Lookalike browser extension) | Yes | Tie |
| API access | Yes (Pro plan) | Yes (paid plans) | Tie |
| CRM integrations | HubSpot, Salesforce, n8n | HubSpot, Salesforce | Tie |
| Free tier | 7-day trial (100 credits) | 100 credits/month | SalesQL |
| Best outcome | Better target accounts | More contacts per hour | Tie |
If you're trying to force a winner: SalesQL wins on speed-to-contact, Extruct AI wins on building smarter company lists. Most teams that think they "need both" are actually missing a third piece - verification (more on that in our guide to data enrichment services).
SalesQL's 70-80% find rate and Extruct's unverified enrichment both leave gaps that cost you deliverability. Prospeo fills that gap with 98% email accuracy across 300M+ profiles, a 7-day data refresh cycle, and 5-step verification that catches spam traps and honeypots before they torch your domain.
Stop choosing between fast and reliable - get both at $0.01 per email.
2026 Pricing Breakdown
SalesQL Pricing
SalesQL's pricing is straightforward. The annual plans are a much better deal because the monthly credit allowance jumps dramatically.
| Plan | Monthly | Annual (per mo) | Seats | Credits/month |
|---|---|---|---|---|
| Free | $0 | - | 1 | 100 |
| Basic | $39 | $29 | 1 | 2,000 (24,000 annual) |
| Professional | $79 | $59 | 3 | 5,000 (60,000 annual) |
| Organization | $119 | $89 | 15 | 12,000 (144,000 annual) |
Extruct AI Pricing
Extruct AI is priced like a research platform, not a browser add-on.
| Plan | Price | Credits | Notes |
|---|---|---|---|
| Free Trial | $0 (7 days) | 100 | Trial credits |
| Basic | $49/month | 12,000/year | 1-2 users |
| Pro | $415/month | 120,000/year | API + priority support |
| Team | Contact sales | Varies | Per-user pricing + pilot guarantee |
The pricing gap is the point. SalesQL is a low-cost extraction tool. Extruct AI is a higher-cost research engine. Buy the one that matches the cost of the problem you're solving.
Data Quality and Accuracy
SalesQL publishes a 70-80% email find rate and 10-20% phone coverage. That's fine for quick sourcing, but "found" isn't the same as "verified." SalesQL's own docs note it can take up to two minutes to search and validate emails after you add a profile, so it's not always instant at scale either.
Here's why that matters: once you start exporting in volume, anything under roughly 80% quality typically turns into bounce rates high enough to hurt deliverability (see email bounce rate and email velocity). We've seen teams burn sender domains in under two weeks by skipping verification on cheap exports.
Extruct AI doesn't publish contact-level accuracy as a primary benchmark because it isn't trying to be a pure contact database. Judge it on whether the company enrichment fields are consistent and usable in your CRM - not on whether it can produce direct dials.
The Missing Piece: Verification
Extruct AI helps you decide which companies to target. SalesQL helps you grab contacts while you browse. Neither one is designed to be your verification layer - and that's where most outbound programs quietly fail (especially if you’re doing web scraping lead generation at scale).
Prospeo closes that gap with 98% email accuracy, 300M+ professional profiles, and a 7-day refresh cycle while the industry average sits at six weeks. It also includes 143M+ verified emails and 125M+ verified mobile numbers with a 30% pickup rate, so you aren't stuck choosing between "fast" and "reliable." The proprietary 5-step verification process handles catch-all domains, spam-trap removal, and honeypot filtering, which means exports are sequence-ready out of the box.
For teams comparing Extruct AI vs SalesQL, the practical play is often straightforward: use Extruct for account targeting, SalesQL for quick profile pulls, and a verification backbone like Prospeo to keep your domain safe. One customer, Stack Optimize, built from $0 to $1M ARR while maintaining 94%+ deliverability and under 3% bounce rates across all their clients - that's the kind of difference a verification layer makes.
Stack Optimize built a $1M agency on Prospeo data with under 3% bounce rates across every client. Whether you're feeding Extruct account lists or SalesQL profile pulls into your sequences, a verified data layer is what keeps your sender reputation intact.
Add the verification backbone your outbound stack is missing.
FAQ
Does Extruct AI find email addresses?
Extruct AI is primarily for company research and enrichment fields, not contact extraction. Use it to build better target account lists, then pair it with a dedicated verification tool for outreach-ready contacts.
Is SalesQL accurate enough for outbound?
SalesQL reports a 70-80% email find rate and 10-20% phone coverage. That means roughly 1 in 4 emails could bounce. Treat exports as leads to verify, not sequence-ready contacts - especially above 500 sends per week.
Can I use Extruct AI and SalesQL together?
Yes, and many teams do. Extruct AI builds your target account list while SalesQL pulls contacts from individual profiles. Add a verification layer to catch stale or invalid records before they hit your sequences.