Before your first call block starts, you're already behind
Before your first call block starts, you're already behind. Most reps spend 20 to 30 minutes per account pulling together context before a discovery call: scanning recent news, hunting for org chart data, trying to figure out if the company is in growth mode or cutting costs. That's time you're not prospecting. That's time you're not closing.
According to Salesforce's State of Sales report, the average salesperson spends just 28% of their time actually selling. The rest goes to prep, research, and administrative work that should already be done for them.
ZoomInfo Earnings Scoops is an AI prospecting feature built into ZoomInfo's all-in-one AI GTM Platform that eliminates this problem for publicly traded accounts. It extracts structured intelligence from SEC filings and earnings calls on a daily basis, surfacing growth opportunities, competitive risks, goals, and pain points in a structured summary your team can act on in under 60 seconds.
Key takeaways:
Earnings Scoops replaces hours of manual research with a structured, 800-word account summary produced in under 60 seconds, covering growth opportunities, goals, risks, and competitive threats.
Coverage spans 17,000+ publicly traded companies listed on NYSE, Nasdaq, and dozens of other global exchanges.
AI that processes 1.5B+ data points daily connects SEC filing signals to the full account context, so you're not looking at an isolated filing summary.
Built for SDRs and AEs who cannot afford to spend 20 to 30 minutes per account on manual research before every call.
Why manual SEC filing research is a losing bet for sales teams
The best salespeople know that a company's 10-K reveals more about buying readiness than any press release. But reading it takes hours most reps don't have.
10-Ks and earnings calls contain the signals that reveal whether a company is in growth mode, facing competitive pressure, or planning new investments. A company announcing plans to expand its developer ecosystem is a different conversation than one flagging profitability risk and competitive pressure from larger players. Those signals change what you say, when you say it, and who you call first. But extracting them manually is not a realistic use of a quota-carrying rep's time.
The problem is structural. Even exceptional salespeople rarely have time to read the fine print of a prospect's latest 10-K. These are dense, lengthy documents that don't lend themselves to a quick skim. And for AI prospecting to actually work, it needs to start with the right raw material: structured, verified signals, not scraped guesses.
"If someone sells insurance, we're going to find relevant insurance insights and earnings," says Brandon Tucker, ZoomInfo's Chief Data Officer. "If someone sells to sales teams, we're going to find relevant sales insights. Most importantly, the insights surfaced by Earnings Scoops are unique to each individual customer's needs, pain points, and growth goals."
How ZoomInfo Earnings Scoops turns SEC filings into prospecting intelligence
Using Earnings Scoops, ZoomInfo uses its GTM Context Graph to extract and surface insights from SEC filings and earnings calls on a daily basis, applying AI to categorize growth opportunities, competitive risks, goals, and pain points into structured summaries your team can act on immediately.
In internal testing, Earnings Scoops produced an 800-word structured summary in under 60 seconds. For context, here is what that looks like in practice. ZoomInfo analyzed the latest 10-K filing from a major security and authentication services provider and surfaced the following:
This company is planning to build a security analytics offering on top of its vast login data, and is also considering further ways to monetize and leverage its data assets. This indicates upcoming investments in software development, data science, and marketing, along with competitive intelligence for competing providers.
Executives are planning to increase cross-sell opportunities and land-and-expand initiatives in key markets and verticals, and investment in their partner ecosystem. Existing or prospective partner companies could leverage this signal to proactively pitch their reach and engagement with key verticals to land a major investment.
Developer ecosystem growth is key for this company's expansion, potentially giving it new ways to monetize its data and market share, and create innovative new applications with lower risk. Startups and smaller companies that excel in leveraging authentication data can seize on this signal to target internal influencers driving ecosystem investment.
Competition from much larger companies is a risk and profitability is not a key goal. This company has operated at a loss for some time, and sees that continuing. Good news if you're a supplier: this company remains in growth mode as it tries to gain enough market share to ward off competitive pressures.
In effect, Earnings Scoops functions as an AI prospecting agent, surfacing the account intelligence that used to require a dedicated research team, delivered in under a minute.
ZoomInfo Earnings Scoops is currently available for more than 17,000 publicly traded companies listed on the New York Stock Exchange (NYSE), Nasdaq, and dozens of other global stock exchanges. Data from other international exchanges, which have varying regulatory obligations outside the SEC filing framework, is being sourced and collected by ZoomInfo's dedicated research team.
That intelligence flows through ZoomInfo's GTM Context Graph, the reasoning layer that processes 1.5B+ data points daily and connects signals, company context, and behavioral data to surface not just what is happening in an account, but why. For teams integrating ZoomInfo data into their own AI infrastructure, Earnings Scoops summaries are also available via the Earnings Cube, a data-as-a-service product enabling customers to integrate structured SEC filing intelligence within their own AI models or infrastructures. For teams building on top of their own AI stack, ZoomInfo's full B2B intelligence, including company signals, contact data, and intent, is connectable to Claude, ChatGPT, Codex, or any agent through MCP or one API.
What AI prospecting with Earnings Scoops actually looks like for an SDR
It's 8:45 a.m. You have a call block starting in 15 minutes and six target accounts queued up. Before ZoomInfo Earnings Scoops, you'd spend the next hour pulling together context on two of them, if you were fast. The other four would get a generic pitch.
With ZoomInfo Earnings Scoops, you pull up the first account, and within 60 seconds you have a structured summary organized into four categories: Growth Opportunities, Goals, Risks, and Competitive Threats. The summary tells you this company is actively planning to expand its developer ecosystem and is evaluating new ways to monetize its platform data. You sell a developer tooling product. You don't lead with a generic value prop. You lead with that signal: "I saw you're expanding your developer ecosystem. We work with companies at exactly this stage to help them move faster on the platform side."
That's a different conversation than "Hi, I'm calling about our developer tools." And it's a conversation you're having six times this morning instead of twice, because you're not spending 20 minutes per account on research that should already be there.
This is what ZoomInfo's all-in-one AI GTM Platform is built for: giving every rep on your team the research depth of your best analyst, at the speed of AI. The context is specific to your selling motion. If you sell to insurance companies, the summaries surface insurance-relevant insights. If you sell to sales teams, you get sales-relevant signals.
For teams integrating ZoomInfo data into their own AI infrastructure, the Earnings Cube delivers these summaries as a data-as-a-service product, connectable to any model or agent.
Where AI prospecting fails, and how to avoid it
AI prospecting is not a magic layer you drop on top of a broken workflow. Reps who have been burned by AI tools that promised pipeline and delivered dashboards are right to be skeptical. Here are the three failure modes that actually cause AI prospecting programs to underperform, and what to do instead:
Bolting AI onto a broken workflow. AI that automates bad prospecting just produces more bad outreach faster. If your ICP is fuzzy, your data is stale, or your sequences are generic, adding AI compounds the problem rather than solving it. The fix is to start with clean, verified data and a defined ICP before layering in AI. AI works best when it is accelerating a workflow that already works, not rescuing one that doesn't. ZoomInfo Earnings Scoops starts with verified, structured data from SEC filings, not scraped guesses, which means the intelligence layer has something solid to reason on.
Using AI for full emails instead of personalization signals. The reps who get the best results use AI to surface the specific insight they can weave into authentic outreach, not to generate the entire email from scratch. AI works best for personalization chunks within emails, not full email generation. The specific insight is what earns the reply, not the automation. Earnings Scoops gives you that insight: a company's growth initiative, a competitive threat, a strategic priority. What you do with it is still your job.
Ignoring the feedback loop. The most effective AI prospecting setups connect prospecting signals, outreach execution, and conversation outcomes so that every interaction teaches the system what to prioritize next. When prospecting, sequencing, and conversation intelligence share a feedback loop, AI compounds its advantage over time rather than just automating volume. ZoomInfo's platform integrates prospecting signals with CRM enrichment and conversation intelligence through Chorus, so the system gets smarter as your team works.
How ZoomInfo's AI GTM Platform connects prospecting intelligence to pipeline
ZoomInfo's AI GTM Platform is designed to avoid all three of these failure modes: starting with the data foundation.
ZoomInfo's all-in-one AI GTM Platform is built on three capabilities that work together: comprehensive B2B data, the GTM Context Graph intelligence layer, and universal access across every tool and workflow your team already uses.
ZoomInfo's data foundation covers 500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business emails, verified by 300+ human researchers. Earnings Scoops adds a layer on top: structured intelligence extracted daily from SEC filings and earnings calls for 17,000+ publicly traded companies. That means every account in your territory that is publicly traded comes with a fresh, structured research brief, updated as new filings and earnings calls are released.
The GTM Context Graph processes 1.5B+ data points daily, fusing company signals, contact data, intent, and behavioral context into a reasoning layer that surfaces not just what is happening in an account, but why. Earnings Scoops feeds directly into this layer, so the insights from a company's 10-K become part of the account's full signal picture. You are not looking at an isolated filing summary. You are looking at that summary in the context of everything else ZoomInfo knows about the account.
That intelligence is accessible wherever your team works: through GTM Workspace for sellers, GTM Studio for marketers and RevOps, or directly through APIs and MCP for teams building on their own AI stack. The same data, the same intelligence, no lock-in.
For a broader look at how AI is reshaping the prospecting workflow, the State of AI in Sales and Marketing 2025 report offers data on how teams are adopting these tools across the full revenue cycle.
What ZoomInfo customers achieve with AI prospecting
The productivity gains from ZoomInfo's AI GTM Platform are not theoretical:
Seismic's 54% productivity gain: Seismic saved 11.5 hours per week per rep using ZoomInfo's GTM Workspace, redirecting that time toward higher-value selling activities rather than reducing headcount.
Thomson Reuters' 40% closed-won lift: Thomson Reuters saw a 40% increase in closed-won deals and 115% average monthly quota attainment with ZoomInfo's GTM Workspace.
Snowflake's 2x conversion rate: Snowflake saw 90% higher opportunity open rates and 2x customer conversion on ZoomInfo-scored accounts.
See how ZoomInfo's AI GTM Platform can give your team the research depth of your best analyst at the speed of AI. Request a demo.
Here are answers to the questions sales teams ask most often about AI prospecting and Earnings Scoops.
Frequently asked questions
What is ZoomInfo Earnings Scoops?
ZoomInfo Earnings Scoops is an AI prospecting feature that extracts structured intelligence from SEC filings and earnings calls for 17,000+ publicly traded companies listed on NYSE, Nasdaq, and other global exchanges. It surfaces growth opportunities, competitive risks, goals, and pain points in a structured summary that reps can act on in under 60 seconds, replacing hours of manual research. It is available directly in the ZoomInfo platform and as a data-as-a-service product via the Earnings Cube for teams building on their own AI stack.
How can I use AI for prospecting?
AI prospecting works by automating the research and prioritization tasks that consume rep time without generating pipeline. The most effective approach: define your ICP using behavioral signals and CRM data, not just static firmographics; use AI to surface account-level intelligence (like ZoomInfo Earnings Scoops for SEC filing insights) that tells you why an account is worth calling now; use AI for personalization signals within outreach, not full email generation; and connect prospecting, sequencing, and conversation outcomes in a feedback loop so the system improves over time. ZoomInfo's AI GTM Platform supports all four steps through its data layer, GTM Context Graph, and GTM Workspace. For a broader look at the tooling landscape, see our guide to the best AI prospecting tools.
Which stock exchanges does Earnings Scoops cover?
Earnings Scoops currently covers 17,000+ publicly traded companies listed on the New York Stock Exchange (NYSE), Nasdaq, and dozens of other global stock exchanges. ZoomInfo's dedicated research team is actively sourcing data from additional international exchanges to expand coverage of companies with varying regulatory obligations outside the SEC filing framework.
Can I integrate Earnings Scoops data into my own AI tools or models?
Yes. Earnings Scoops summaries are available via the Earnings Cube, a data-as-a-service product that lets teams integrate structured SEC filing intelligence into their own AI models or infrastructure. For teams building on top of their own AI stack, ZoomInfo's full B2B intelligence, including company signals, contact data, and intent, is connectable to Claude, ChatGPT, Codex, or any agent through ZoomInfo MCP or one API.
What types of insights does Earnings Scoops surface from 10-K filings?
Earnings Scoops categorizes insights from 10-K filings and earnings calls into structured categories: Growth Opportunities (new markets, product expansions, investment areas), Goals (strategic priorities and initiatives), Risks (competitive threats, operational vulnerabilities, market headwinds), and Competitive Landscape (how the company views its competitive position). Each summary is tailored to the ZoomInfo customer's specific context: a rep selling insurance sees insurance-relevant insights; a rep selling to sales teams sees sales-relevant signals. Summaries are produced in under 60 seconds.
Does AI prospecting replace SDRs and AEs?
No. AI prospecting tools like ZoomInfo Earnings Scoops eliminate the manual research tasks that consume rep time without generating pipeline: reading 10-Ks, pulling org chart data, scanning for recent news. They do not replace the judgment, relationship-building, and closing skills that quota-carrying reps bring to every deal. The goal is to give every rep on your team the research depth of your best analyst, so they spend more time selling and less time on prep. Seismic's 54% productivity gain after deploying ZoomInfo came not from reducing headcount, but from redirecting rep time toward higher-value activities.