AI SDR
Seamless.ai
by Seamless.ai Inc
2847 reviews
AI-powered sales lead platform with real-time contact search, email verification, and buyer intent signals
📌Key Takeaways
- 1Seamless.ai is a ai sdr AI agent by Seamless.ai Inc, founded in 2015.
- 2AI-powered sales lead platform with real-time contact search, email verification, and buyer intent signals
- 3Top strengths: Easy to use interface with minimal learning curve; High accuracy of contact information compared to competitors.
- 4Rated 4.2/5 based on 2847 reviews.
Category
AI SDR
Founded
2015
Headquarters
Columbus, Ohio, USA
Overview
Seamless.ai is a comprehensive AI-powered sales intelligence platform that revolutionizes how B2B sales teams discover, research, and connect with their ideal prospects. Founded in 2016 and headquartered in New York City, the platform has emerged as a leading solution for sales development representatives, account executives, and revenue teams seeking to eliminate the tedious manual research that traditionally consumes valuable selling time. At its core, Seamless.ai maintains one of the largest real-time verified B2B contact databases in the industry, providing sales professionals with instant access to direct dial phone numbers, verified email addresses, and comprehensive company intelligence. Unlike static databases that quickly become outdated, Seamless.ai employs sophisticated machine learning algorithms that continuously crawl, verify, and update contact information, ensuring that sales teams always work with the most accurate and deliverable data available. The platform's AI-driven approach extends beyond simple data provision. Seamless.ai analyzes prospect fit using multiple signals including company size, industry vertical, technology stack, funding status, and behavioral intent data. This intelligent scoring system helps sales teams prioritize their outreach efforts, focusing energy on prospects most likely to convert rather than wasting time on poor-fit leads. Integration capabilities form another cornerstone of the Seamless.ai value proposition. The platform connects seamlessly with major CRM systems including Salesforce and HubSpot, enabling automatic data enrichment that keeps existing databases current without manual intervention. Sales teams can enrich individual records on-the-fly or perform bulk updates across thousands of contacts, dramatically reducing data decay and improving overall CRM hygiene. Seamless.ai serves organizations across virtually every B2B industry, from fast-growing SaaS startups to established enterprise technology companies, professional services firms, and manufacturing businesses. The platform's flexible pricing model, ranging from a free tier for individual users to enterprise plans with unlimited access, makes it accessible to sales professionals at every stage of their career and organizations of any size. With its combination of data accuracy, AI-powered insights, and workflow automation, Seamless.ai has become an essential tool for modern sales teams looking to accelerate pipeline generation and improve conversion rates.
🎯 Key Differentiator
AI-ExtractedReal-time B2B database with 500M+ verified contacts and AI-powered prospect scoring that automatically identifies and ranks high-intent prospects based on firmographic, technographic, and behavioral signals
Seamless.AI maintains one of the largest verified B2B contact databases with real-time updates and continuous validation. The AI scoring engine analyzes over 100 data points including company size, technology stack, hiring patterns, funding events, and engagement signals to surface prospects most likely to convert. According to customer testimonials, this reduces manual research time by up to 80% and improves sales team efficiency by 3-5x compared to traditional prospecting methods. The platform's real-time verification approach claims 80%+ accuracy on email addresses and direct dials, significantly higher than static database competitors.
This differentiator was AI-extracted from competitive research.
Claim this page to verify and unlock →Last verified: January 27, 2026
Key Features
Real-Time Contact Search
Seamless.AI's real-time search engine allows users to find verified B2B contact information including email addresses, direct dial phone numbers, and mobile numbers for decision-makers at target companies. Unlike traditional databases that rely on pre-collected data that becomes stale over time, Seamless.AI uses AI algorithms to search, verify, and validate contact information at the moment of request. Users can search by company name, job title, location, industry, company size, and other firmographic criteria. The platform's AI engine cross-references multiple data sources and applies proprietary verification algorithms to ensure the contact information is current and accurate. This real-time approach means users get the most up-to-date information available, significantly reducing bounce rates and improving connection rates for outreach campaigns. Eliminates wasted time on outdated contacts and increases email deliverability and phone connection rates by 3-4x compared to static databases.
Chrome Extension for LinkedIn
The Seamless.AI Chrome extension integrates directly into LinkedIn, allowing sales professionals to find verified contact information without leaving their prospecting workflow. When viewing a LinkedIn profile or company page, users can click the Seamless.AI extension to instantly reveal verified email addresses and phone numbers for that individual or find all contacts at that company matching specific criteria. The extension works seamlessly with LinkedIn Sales Navigator, enabling users to build targeted lists while conducting their normal LinkedIn research. The tool also works on company websites and other business directories, providing a consistent prospecting experience across the web. Users can add contacts directly to lists, export to their CRM, or initiate outreach sequences without switching between multiple tools or platforms. Streamlines prospecting workflows by eliminating the need to switch between tools, reducing list-building time by up to 80%.
AI-Powered Data Enrichment
Seamless.AI's data enrichment capabilities automatically fill in missing information for existing contacts in your CRM or prospect lists. Users can upload partial contact information or company names, and the AI engine will search for and append verified email addresses, phone numbers, job titles, company information, social media profiles, and other relevant data points. The enrichment process uses machine learning to match records with high confidence, reducing false positives while maximizing data completion rates. This feature is particularly valuable for cleaning up legacy databases, enriching inbound leads that only provided minimal information, or enhancing lists purchased from other sources. The platform can process bulk enrichment requests for thousands of contacts simultaneously, with results typically delivered within minutes. Transforms incomplete contact databases into actionable prospect lists, increasing the usable portion of existing databases by 60-80%.
Buyer Intent Data & Job Changes
Seamless.AI provides buyer intent signals and job change alerts to help sales teams identify prospects who are most likely to be in-market for their solutions. The intent data feature tracks digital signals across the web to identify companies actively researching topics related to your products or services, scoring accounts based on their likelihood to purchase. Job change tracking monitors when contacts move to new companies or get promoted, creating warm outreach opportunities since professionals in new roles often have budget authority and are actively evaluating new vendors. Users can set up automated alerts for specific triggers, such as when a contact at a target account changes jobs or when companies in their ideal customer profile show buying intent. This intelligence helps sales teams prioritize outreach efforts and craft more relevant, timely messaging. Increases conversion rates by 2-3x by enabling sales teams to reach out at the optimal moment when prospects are most receptive.
Autopilot List Building
The Autopilot feature automates the process of building and maintaining prospect lists based on predefined criteria. Users set up search parameters including industry, company size, location, job titles, technologies used, and other firmographic and technographic filters, and Seamless.AI's AI engine continuously searches for and adds new contacts that match those criteria. The system automatically verifies contact information before adding prospects to the list, ensuring quality remains high. Autopilot runs in the background, so users wake up to fresh, verified leads each day without manual searching. The feature also monitors existing contacts for changes, updating information when people change jobs or companies, and can automatically remove contacts that no longer meet the criteria. This ensures prospect lists remain current and relevant over time without ongoing manual maintenance. Eliminates manual prospecting work, saving 10-15 hours per week while ensuring a constant pipeline of fresh, qualified leads.
Pros & Cons
Pros
- +Easy to use interface with minimal learning curve
- +High accuracy of contact information compared to competitors
- +Excellent Chrome extension that integrates seamlessly with LinkedIn
- +Generous free tier for testing and low-volume users
- +Real-time verification reduces bounce rates significantly
Cons
- −Credit system can be expensive for high-volume users
- −International data coverage is limited outside North America
- −Customer support can be slow for non-enterprise users
- −Some users report aggressive upselling tactics
- −Mobile app lacks features available on desktop
Use Cases
Explore all AI SDR use cases →Outbound SDR Prospecting: Building Targeted Lists at Scale→
Sales development representatives face immense pressure to maintain high activity levels while ensuring quality prospect targeting. Traditional prospecting methods require SDRs to spend 40-60% of their time on manual research—searching LinkedIn, visiting company websites, and hunting for contact information—leaving insufficient time for actual selling activities. This research burden leads to burnout, inconsistent data quality, and missed quota. SDRs often work with outdated contact information from static databases, resulting in high email bounce rates, wasted dial time on disconnected numbers, and damaged sender reputation. The challenge intensifies as SDRs must balance quantity (activity metrics) with quality (targeting the right prospects), often sacrificing one for the other.
Account-Based Marketing: Mapping and Penetrating Target Accounts→
Account-based marketing strategies require comprehensive contact coverage across target accounts, but building complete stakeholder maps is extraordinarily time-consuming. Marketing and sales teams struggle to identify all relevant decision-makers, influencers, and champions within complex enterprise organizations. Traditional research methods yield incomplete org charts, outdated contact information, and gaps in coverage that allow competitors to establish relationships first. ABM campaigns suffer when teams can only reach a fraction of the buying committee, resulting in lower engagement rates and longer sales cycles. The challenge compounds at scale—maintaining accurate, complete contact data across hundreds of target accounts requires resources most organizations simply don't have.
Sales Territory Planning: Data-Driven Territory Assignment→
Sales leaders struggle to create balanced, high-potential territories due to incomplete market data. Traditional territory planning relies on geographic boundaries or simple account counts, ignoring the actual opportunity potential within each territory. This leads to inequitable quota distribution, with some reps inheriting territories rich with ideal prospects while others struggle with poor-fit accounts. Without accurate data on total addressable market by segment, leaders cannot make informed decisions about territory design, headcount planning, or quota setting. The result is rep frustration, high turnover, and inconsistent performance across the team. Additionally, as markets evolve and companies grow or contract, static territory assignments quickly become outdated.
Competitive Displacement: Targeting Competitor Customers→
Winning customers from competitors requires identifying which companies use competitive solutions and reaching the right stakeholders—information that's notoriously difficult to obtain. Sales teams waste countless hours trying to determine a prospect's current technology stack through indirect research, LinkedIn stalking, and educated guessing. Even when competitive intelligence is obtained, finding and reaching the decision-makers responsible for those solutions proves equally challenging. Without systematic competitive targeting, displacement opportunities are discovered randomly rather than pursued strategically. This reactive approach means competitors often have deeply entrenched relationships by the time your team engages, making displacement exponentially harder.
Event Lead Enrichment: Maximizing Conference ROI→
Trade shows and conferences represent massive investments—booth costs, travel, sponsorships, and staff time—yet most organizations fail to capture full value from event leads. Badge scans and business card collections yield incomplete data: perhaps a name, company, and email, but rarely direct phone numbers, accurate titles, or company context. Marketing teams spend weeks after events manually researching and enriching leads, during which time competitor follow-up has already occurred. The delay between event interaction and sales follow-up dramatically reduces conversion rates, as prospects forget conversations and move on to other priorities. Additionally, without complete data, lead routing and prioritization becomes guesswork, with high-value prospects potentially receiving the same generic follow-up as low-priority contacts.
Recruiting & Talent Acquisition: Building Candidate Pipelines→
Recruiters and talent acquisition teams face intense competition for top talent, yet spend excessive time on manual candidate sourcing rather than relationship building. LinkedIn Recruiter provides candidate discovery but lacks verified contact information, forcing recruiters to rely on InMail messages that often go unread in crowded inboxes. Reaching passive candidates—the most desirable talent—requires direct outreach channels that bypass LinkedIn's limitations. Additionally, recruiting teams need to identify and engage hiring managers at client companies for staffing and recruiting firms, requiring the same prospecting capabilities as sales teams. The time spent hunting for contact information directly reduces time available for candidate engagement and relationship development.
Partner & Channel Development: Building Strategic Alliances→
Business development and partnership teams face unique prospecting challenges—they're not selling products but rather seeking mutually beneficial relationships with complementary companies. Identifying potential partners requires understanding company characteristics, technology ecosystems, and strategic fit that goes beyond simple firmographic targeting. Partnership outreach has lower volume but higher stakes than traditional sales prospecting, making accurate contact information and company intelligence even more critical. BD teams often struggle to identify the right stakeholders for partnership conversations, which may span business development, product, marketing, and executive functions depending on partnership type. Without systematic partner prospecting, alliance development relies on serendipitous introductions and conference networking.
Market Research & Competitive Intelligence: Understanding Your Market→
Product, marketing, and strategy teams need accurate market intelligence to make informed decisions, but obtaining comprehensive market data is expensive and time-consuming. Traditional market research relies on surveys, analyst reports, and secondary sources that may be outdated or incomplete. Understanding competitive landscapes—who's using what solutions, market penetration by segment, and emerging trends—requires data that's difficult to aggregate from public sources. Teams making strategic decisions about market entry, product positioning, and competitive strategy often work with incomplete information, leading to costly missteps. The challenge intensifies in fast-moving markets where conditions change faster than traditional research can capture.
Frequently Asked Questions
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Last updated: Jan 27, 2026