Lead Researcher AI Agent
Lead Researcher AI Agent
Sales reps spend an average of 21% of their work week on prospecting research, manually combing LinkedIn profiles, company websites, and news articles to piece together account intelligence before making a single outreach attempt. This lead research AI agent automates the entire prospect discovery and company research workflow. It identifies qualified LinkedIn prospects based on your ideal customer profile, investigates their companies across multiple data sources, and delivers structured intelligence reports directly to your sales team's inbox. No more hours lost to manual research that never scales.
Lead Researcher AI Agent
Automating lead research delivers quantifiable time and revenue gains across the sales organization.
Sales representatives spend only 28% of their week actually selling, according to Salesforce's State of Sales report. The rest goes to administrative tasks, with prospecting research consuming the largest share. By automating prospect discovery and company research, the lead research agent gives reps back 8-12 hours per week that they can redirect to live conversations and deal progression. For a 10-person SDR team, that is 80-120 hours of recovered selling capacity every week, the equivalent of adding 2-3 full-time reps without increasing headcount.
Personalized outreach emails see 2.5x higher response rates than generic templates, but personalization requires research that most reps skip when they are under volume pressure. The AI agent ensures every prospect in your pipeline comes with contextual intelligence, recent company events, growth signals, and decision-maker background, that reps can weave into their messaging. Teams using AI-assisted prospecting research report 35-50% improvements in email reply rates because every message references something specific and relevant to the recipient.
The average B2B company spends $300-$500 to generate a single qualified meeting through outbound sales development, factoring in SDR compensation, tooling costs, and management overhead. When reps spend less time researching and more time reaching out with higher-quality, personalized messages, the cost per booked meeting drops significantly. Organizations that automate prospecting research report 40-60% reductions in the hours required to book a qualified meeting, translating directly to lower customer acquisition costs and faster pipeline growth.
Lead Researcher AI Agent
features
Every capability addresses a specific bottleneck in the prospecting research workflow.
The agent searches LinkedIn to identify prospects matching your ideal customer profile without requiring manual Boolean searches or list-building sessions. Sales development teams typically spend 6-8 hours per week building prospect lists. This agent runs the same process continuously in the background, surfacing new qualified contacts as they appear. It filters out prospects who have already been contacted or exist in your CRM, so your team always works from a fresh, deduplicated pipeline.
For each identified prospect, the agent compiles a comprehensive company research brief covering organizational size, industry vertical, recent growth signals, technology stack indicators, and relevant news. This goes beyond the basic firmographic data you get from a LinkedIn profile. The intelligence reports include contextual details that help reps craft personalized outreach, such as recent executive hires, product launches, or expansion announcements that create natural conversation entry points.
Completed intelligence reports are delivered directly to your sales team's email inbox on a scheduled cadence or in real time as prospects are researched. There is no dashboard to check or portal to log into. Reps receive actionable prospect briefs in the tool they already live in. For teams that prefer centralized access, the agent also pushes data to Google Sheets, HubSpot, Salesforce, or Slack channels, ensuring the intelligence reaches your team wherever they work.
The agent does not stop after delivering an initial list. It continuously monitors for new prospects matching your ICP criteria and surfaces them as they appear. This is especially valuable for teams targeting fast-moving segments where new companies enter the market frequently, or for account-based strategies where tracking personnel changes at target accounts creates timely outreach opportunities. Your pipeline stays current without manual refresh cycles.
Lead Researcher AI Agent
Go from configuration to automated lead research in three steps.
Lead Researcher AI Agent
FAQs
The agent identifies prospects through LinkedIn, pulling profile data, company information, job titles, and organizational details. It cross-references this with publicly available company signals including recent news, hiring activity, and growth indicators to build comprehensive intelligence reports. All data is sourced from publicly available information, and the agent operates within platform terms of service. For teams that need enrichment beyond LinkedIn, the output can be piped into tools like ZoomInfo, Apollo, or Clearbit through Zapier integrations.
You define your ICP criteria during configuration, including target industries, company size ranges, job titles, seniority levels, geographies, and any custom firmographic or technographic signals that matter to your business. The agent evaluates each potential prospect against these weighted criteria and assigns a fit score. Only prospects meeting your minimum threshold are included in the delivered intelligence reports. You can adjust criteria at any time as your targeting evolves or as you learn which prospect profiles convert best.
The Tars lead research agent integrates natively with HubSpot, Salesforce, and Zoho CRM, so prospect intelligence flows directly into your existing pipeline. It also connects to Google Sheets for lightweight tracking, Slack for real-time prospect alerts, and supports custom workflows through Zapier and Make. This means you can trigger actions in your outbound sequencing tools, update CRM records automatically, or notify specific team members when high-priority prospects are identified, all without manual data entry.
Static lead lists and database exports give you names and contact information without context. By the time you act on them, the data may already be stale. This AI agent conducts active, ongoing research, discovering new prospects continuously, compiling current company intelligence, and delivering fresh reports rather than a one-time data dump. It also tailors the research output to your specific ICP and the context your sales team needs, producing actionable prospect briefs rather than raw rows of firmographic data that still require hours of manual enrichment.
Yes. You can configure distinct ideal customer profiles for different product lines, geographic markets, or buyer segments. The agent runs research against each ICP independently and tags the output so your sales team knows which segment each prospect belongs to. This is particularly useful for organizations with multiple product offerings or sales teams that cover different verticals. Each ICP can have its own criteria weights, minimum fit thresholds, and delivery destinations.
The agent processes prospects continuously and can research dozens to hundreds of companies per day depending on the depth of intelligence required for each prospect. Unlike a human SDR who might thoroughly research 8-12 accounts per day before running out of time, the AI agent maintains consistent research quality at volume. For high-velocity outbound teams that need to fill the top of the funnel quickly, this means your pipeline never dries up waiting for manual research to catch up with outreach capacity.
Tars is SOC 2 compliant, and all prospect data processed by the agent is encrypted both in transit and at rest. This includes the LinkedIn-sourced prospect information, company intelligence reports, and any data pushed to your CRM or other connected tools. For organizations in regulated industries or those with strict data governance policies, Tars also supports GDPR and ISO 27001 requirements. You retain full control over data retention and can configure what information is stored versus passed through to your sales tools.
Absolutely. The agent is designed to integrate into your existing sales tech stack, not replace it. It feeds prospect intelligence into the tools your team already uses, whether that is a CRM like Salesforce or HubSpot, an outbound sequencer like Outreach or Salesloft, or a team communication tool like Slack. Through Zapier and Make integrations, you can build custom workflows that route prospect data wherever it needs to go. The agent handles the research layer so your existing tools can do what they do best with better input data.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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