9 Tools to Find High-Intent Leads in 2026 (with Free Options)

Types of intent to track in 2026

Before the tool list, a quick map of the five intent categories that matter today. Most teams only track two or three. The ones that fill pipeline track all five.

• Website intent. Who is visiting your pricing page, docs, or demo page right now.
• Social intent. Who is asking for tool recommendations or complaining about a competitor on Reddit, LinkedIn, Twitter, or forums.
• Hiring intent. Who is hiring a role that implies your product (e.g., a new Head of Sales implies a CRM decision within 90 days).
• Lookalike intent. Which companies look like your best customers and have never heard of you yet.
• AI and research intent. Who is searching for category keywords or getting cited in AI answers (Perplexity, ChatGPT) for your space.

Website visitor identification

Knowing which companies (and sometimes which people) visit your site is the fastest intent signal to act on. These tools de-anonymize up to 40 percent of your traffic, depending on region and industry. Two solid options in 2026:

• Website: leadfeeder.com
• What it does: Identifies anonymous companies visiting your website and syncs them to your CRM.
• Key features: Account-level reverse IP, behavioral tracking, Slack and CRM alerts, filters by firmographics.
• Best for: SMB to mid-market B2B with steady organic traffic.
• Pricing (2026): Free plan (last 7 days only). Paid from $165/month.

• Website: rb2b.com
• What it does: Identifies individual LinkedIn profiles visiting your US-based traffic (not just companies).
• Key features: Person-level de-anonymization (US only), Slack alerts, LinkedIn enrichment, webhook support.
• Best for: US-focused B2B with a 1:1 outbound workflow.
• Pricing (2026): Free plan (100 contacts/month). Paid from $129/month for unlimited.

Social intent tracking

Social is where explicit buying intent lives. "Canceling X, what next?" posts on LinkedIn, recommendation threads on Reddit, category complaints on Twitter. These tools capture them in real time.

• Website: buska.io
• What it does: Monitors 30+ platforms (Reddit, LinkedIn, Twitter, Quora, forums, podcasts) for buying intent mentions and scores them with AI.
• Key features: Intent scoring (4-level framework), ICP matching, CRM and Slack integrations, competitor churn alerts, native outbound integrations.
• Best for: B2B SaaS teams who want high-intent leads without building a monitoring stack from scratch.
• Pricing (2026): 7-day free trial. Starter $49/mo, Growth $99/mo, Scale $249/mo.

• Website: octolens.com
• What it does: Social listening focused on SaaS mentions across Reddit, LinkedIn, and forums.
• Key features: Mention classification, AI summaries, Slack alerts.
• Best for: Early-stage SaaS tracking brand and competitor mentions.
• Pricing (2026): From $49/month.

• Website: google.com/alerts
• What it does: Free keyword monitoring across the public web.
• Key features: Email notifications, simple query builder, no coverage on Reddit or LinkedIn.
• Best for: Brand monitoring on a zero budget, not lead gen.
• Pricing (2026): Free (always has been).

Lookalike and AI-powered targeting

If your CRM has 50+ closed-won deals, lookalike targeting gives you a list of companies that statistically match your winners. Add AI enrichment on top and you get near-zero manual research.

• Website: clay.com
• What it does: Data orchestration platform that pulls from 100+ providers, enriches leads, and triggers personalized outbound.
• Key features: Multi-provider enrichment, AI research agent (Claygent), waterfall lookups, CRM sync, personalized email at scale.
• Best for: Ops-heavy outbound teams with a dedicated RevOps or growth engineer.
• Pricing (2026): Free plan (100 credits/month). Paid from $149/month, scales fast with credit usage.

• Website: ocean.io
• What it does: Uses AI to find companies that look like your existing best customers.
• Key features: Lookalike search, firmographics, market sizing, CRM upload.
• Best for: ABM teams expanding into new segments.
• Pricing (2026): On request, typically $5K to $25K/year.

Hiring and role-change intent

When a company hires a new head of sales, they'll review the CRM within 90 days. When they post 10 engineering jobs, they're scaling and need observability. Hiring data is one of the most reliable 90-day-out intent signals.

• Website: mantiks.io
• What it does: Monitors job postings to surface hiring intent at target companies.
• Key features: Real-time and historical job data, company recruitment tracking, decision-maker contact retrieval.
• Best for: Selling into roles implied by hiring patterns (ops tools, dev tools, HR tech).
• Pricing (2026): Demo-gated, typically $300 to $1,000/month.

• Website: leadsrover.com
• What it does: Tracks job changes, promotions, and new role announcements in your CRM or target account list.
• Key features: Real-time job change alerts, CRM sync, LinkedIn enrichment, intent windows per role type.
• Best for: Teams who sell on the 30 to 90-day window after a new hire joins.
• Pricing (2026): From $79/month.

How to qualify intent signals (3-step framework)

Finding the signal is the easy part. Qualifying it so you don't burn domain reputation or your champion's goodwill is where most teams fail. Here's the three-step framework we run on every raw signal at Buska before a rep ever sees it.

Step 1: ICP match check

First, does the account (or person) match your ICP? This is pure firmographics: industry, size, geography, tech stack. If the Reddit post comes from a 3-person consultancy but you sell to 500+ employee enterprises, skip it. Most tools let you auto-filter here. If yours does not, build the filter manually in a CRM view.

Step 2: Signal specificity check

Is the signal explicit or inferred? A post saying "canceling HubSpot, what do you recommend?" is explicit purchase intent. A post saying "HubSpot is fine I guess" is not. Rank each signal on a three-point scale: explicit (direct question or churn post), semi-explicit (category discussion, no vendor named), implicit (educational content engagement). Only route explicit and strong semi-explicit signals to reps. For more on this, see our piece on buying intent signals explained.

Step 3: Recency and decay check

How fresh is the signal? Purchase-level signals (level 4 in our 4-level framework) decay within 7 to 14 days. Evaluation-level signals within 30 days. Research-level signals within 60 to 90 days. If your tool shows you a "canceling X" post from 45 days ago, it's already too late. Build recency thresholds into your routing rules.

How to choose the right tool for your stack

Match the tool to your specific gap, not to a hype cycle.

• No website traffic yet? Start with social intent (Buska) or hiring intent (Mantiks, LeadsRover). No point installing Leadfeeder if you get 300 visitors/month.
• Solid website traffic but no outbound? Leadfeeder or RB2B to surface visitors, plus Clay to enrich and sequence.
• ABM at scale? Combine Ocean.io for lookalikes, Buska for social signals, and a third-party provider like Bombora for account-level topic intent.
• US-focused 1:1 outbound? RB2B plus Clay is the highest-ROI combo we've seen.
• Early stage, bootstrapped? Google Alerts plus Buska starter plan plus manual Reddit checks gets you 80 percent of the signal for under $100/month.

Conclusion

Finding high-intent leads in 2026 is less about buying bigger lists and more about reading public signals faster than your competitors. The nine tools above cover the five intent categories: website, social, hiring, lookalike, and AI research. Pair them with the 3-step qualification framework (ICP, specificity, recency) and you'll run an outbound motion that actually converts.

If social intent is the gap in your current stack, that's where Buska fits. We monitor 30+ platforms, score every mention on a 4-level intent model, and push qualified leads to your CRM or Slack in near real time.