How DeepSearch works

DeepSearchis built around a simple idea: you should be able to answer "who is this person?" in minutes, with every claim tied to a public source you can click and confirm. We do not sell database dumps or run regulated background checks. Instead, we search the open web in real time, match the correct individual when names collide, and produce an AI-enriched profile you can explore with follow-up questions.

Whether you are preparing for a sales call, evaluating a candidate, researching a founder, or fact-checking a source, the workflow is the same. Here is exactly what happens when you run a lookup.

The five-step workflow

1. Name search. Enter a full name. Optional filters — company, city, job title — help narrow results when you already have context.
2. Disambiguation. Common names return multiple candidate matches. Review cards with headline signals (role, location, profile snippets) and select the person you mean before any profile is generated.
3. Public web sources. DeepSearch searches indexed public content across the open web: professional profiles, developer accounts, articles, company pages, talks, podcasts, and other publicly available mentions.
4. AI profile. We structure what we find into a readable brief — career signals, education, social accounts, web mentions, and an AI summary. Each section includes source links so you can verify claims yourself.
5. Follow-up chat.Ask natural-language questions about the profile: "What did they work on at Company X?" or "Summarize their recent public writing." Chat responses reference the same linked sources from your lookup.

Step 1: Start with a name

People search begins with what you know. A first and last name is enough to start. If you have additional context — an employer from a referral, a city from a conference badge, a title from an email signature — add it as a filter. Filters reduce noise before disambiguation and help surface the right person faster.

DeepSearchdoes not require you to know someone's LinkedIn URL or email address. The product is designed for the moment you have a name and need context quickly.

Step 2: Pick the right person

Name collisions are normal. "Alex Johnson" or "Maria Garcia" can match dozens of public profiles. Rather than guessing, DeepSearch shows candidate cards with enough context to choose confidently — current or recent role, location hints, and snippets from public pages.

This disambiguation step is deliberate. Generating a profile for the wrong person wastes time and creates risk. You confirm the match first; then research runs against that specific individual's public footprint.

Step 3: Search the public web

After you select a match, DeepSearch aggregates publicly available information from across the open web. That can include professional networking pages when they are public, developer profiles, social accounts, press coverage, blog posts, speaker bios, and company team pages.

We focus on indexed, publicly accessible content. We do not access non-public records, purchase proprietary consumer databases, or bypass login walls. If information is not publicly available on the web, it will not appear in your profile.

Step 4: Get a sourced AI profile

Raw search results are useful but slow to read. DeepSearch organizes findings into a structured profile: professional background, education, location signals, social and developer accounts, web mentions, and an AI-generated summary that highlights what matters for research.

The summary is not a black box. Claims in the profile connect to source URLs. Click through to read the original page, confirm a job title, check the date of an article, or dismiss a mention that refers to a different person. You stay in control because verification is built into the workflow.

Step 5: Explore with follow-up chat

Static profiles answer the first question. Chat answers the next ten. After generation, open the conversation panel and ask follow-up questions about the person's public history. The assistant works from the sources already gathered in your lookup — not from hidden databases or unlinked guesses.

Chat is especially useful before meetings: pull recent roles, surface conference talks, or summarize public writing without starting a new search from scratch. Your lookup history saves past profiles so you can return before a call and continue where you left off.

Source verification built in

Accuracy in people search depends on verification, not volume. DeepSearch treats every profile as a research brief, not a definitive record. Sources are linked inline so you can:

• Confirm the person you matched is the same one referenced in an article
• Check whether a role is current or outdated
• Distinguish homonyms and mistaken identity in press coverage
• Document your research with primary links when sharing notes with a team

AI helps you read faster; sources help you trust what you read. When a fact matters for a decision, open the link and verify it directly.

Private searches

Your lookups are private. DeepSearch does not notify the people you research, send them profile-view alerts, or expose your search activity to subjects. That matters for recruiters evaluating passive candidates, founders doing discreet partner research, and anyone who needs context without changing the dynamic of a relationship before they are ready to reach out.

We store your search history so you can revisit past profiles. That history is tied to your account and is not shared with the people you look up. For details on data handling, see our Privacy Policy.

Research tool — not a background check

DeepSearch aggregates publicly available web information for professional research. We are not a consumer reporting agency, and our service is not compliant with the Fair Credit Reporting Act (FCRA). Do not use DeepSearch as the sole basis for employment decisions, tenant screening, credit eligibility, insurance underwriting, or other purposes that require FCRA-regulated background checks.

Use DeepSearchto prepare for conversations, personalize outreach, and build sourced briefs from the open web — then follow your organization's compliant process for formal screening where the law requires it.

Who uses this workflow

Recruiters use DeepSearch for pre-outreach candidate research. Founders use it before investor and partner meetings. Analysts and operators use it to map public context quickly. The workflow is the same; the questions change. See role-specific guides for recruiters and founders, or compare DeepSearch with LinkedIn for when each tool fits best.

Get started

Sign in with Google and run your first lookup in under a minute. View pricing for weekly, monthly, quarterly, and annual plans, or head to the DeepSearch homepage to try an example search.