Search: “VP of Sales at Series B SaaS company Austin.” In the time it takes to read this sentence, get a ranked list of real people who match, with verified contacts attached. That is not a pitch. This is the new inside SignalHire, being AI Smart Search!
For years, recruiters and sales teams have translated actual needs into what a search form allows. Boolean strings, dropdown filters, seniority checkboxes; five fields until you see a single result. However, the tax on sourcing has always been the gap between the sentence in your head and the query that the tool understands. Closing this gap is SignalHire’s Advanced AI Contact Search. You describe the person. The platform finds them.
Here’s the full walkthrough if you’d rather watch than read:
The rest of this article covers what the feature does, how to set it up in under two minutes, where it fits alongside the tools you already use, like the email finder, Lead Lists, and email sequences, and what’s coming next.
Key Takeaways
- Instead of building a Boolean query, SignalHire’s AI Smart Search enables you to type a plain-language description of your ideal candidate or prospect.
- Searches SignalHire’s 850M+ verified profile database with contact details attached to matched people.
- There is a two-part process to set the app up: first, the Chrome extension, second your outreach email provider!
- Recruiters utilize this as a shortcut for sourcing for difficult-to-fill roles. It is being constantly used by sales teams to create target account lists without the hassle of manual filtering.
- Fast teams are already rethinking how they fill roles with AI-assisted sourcing tools. According to a report released by Gartner, employees who perform jobs relevant to AI save an average of 1.5 hours per working day using AI-assisted workflows.
- This feature integrates with Lead Lists, the email finder, and Email Sequences, so a search result from these tools can create an outreach campaign without leaving the platform.
- SignalHire is working on the AI Pitch feature who is trained to write and send a customized first message immediately after a contact has been created.
Why SignalHire Built AI Smart Search
The problem with Boolean search is that it presumes you know the precise vernacular of the database. Most recruiters don’t [do that], not because it’s an impossible skill, but because job titles differ by company, industry, and region in ways that no single query can properly account for. Column 1 Column 2 “Head of Growth” (Startup 1) “VP Growth Marketing” (Startup 2) same level of senority One totally misses the other when they create a Boolean string around one.
McKinsey found that 88% of companies now use AI in at least one business function, a jump that signals AI tooling has moved from experiment to expectation across nearly every department, recruiting and sales included. The pressure isn’t whether to add AI to sourcing. It’s whether the AI actually understands what you meant.
The design problem that signalhire has worked on. Rather it reads a natural-language description (of the sort you might utter to a colleague) and converts that into a simultaneously-structured search across title, seniority, skills, location, and company data. You don’t pick the filters. You describe the outcome.
Step-by-Step Guide: How to Use Advanced AI Contact Search
Step 1: Land on Your SignalHire Home Screen
First, go to the SignalHire homepage and click Sign In.
Click Sign In. Then, enter your credentials.
Once you sign in, the “Start building your pipeline with AI” panel sits front and center on your Home tab.
This is where every AI Smart Search begins. A single input field waits for your query, with four suggested searches underneath for anyone who wants a working example before typing their own.
Step 2: Type What You’re Actually Looking For
Skip the filters. Write the sentence the way you’d say it to a teammate. “I need marketing directors with SaaS experience and growth strategy skills in NY” is a real, working query, not a simplified example.
In our example, we are looking for a “business development manager SignalHire.” You can type any position or company of your choosing.
Step 3: Let the AI Parse Your Query
Hit search, and SignalHire’s AI breaks the sentence into structured filters behind the scenes: title, department, seniority, location, company, and keyword.
You don’t see this translation happen. You just see it reflected in the results a moment later.
Step 4: Review Your Matched Profiles
The results are loaded in the familiar People view. Every match with title, less recent company, location and a locked contact icon. The search query “business development SignalHire” returns only exactly the profiles expected in the correct ranking order, with the same left filter panel in case there is a need to narrow it down by department, seniority, or years of experience.
Step 5: Reveal Contact Details
Click into any profile and you get a full record of it to the right, skills, history, education, company info. Hit on the “Reveal contacts” option, you will get the verified email and phone number, and each one has its own little verification badge placed next to it as soon as SignalHire finds it in a live rather than a static source.
Step 6: Install the Chrome Extension for In-Context Search
Install the SignalHire browser extension directly from the Chrome Web Store, and contact reveal works on any LinkedIn profile or company page without a separate platform search.
Step 7: Connect Your Email Provider
Before you can turn a result into outreach, link an email account. SignalHire currently supports Outlook and other providers through a single sign-in screen. This connection powers direct sends and sequence automation later in the workflow.
Step 8: Push Contacts Into Lead Lists or a Sequence
A revealed contact doesn’t have to sit in a search tab. Add it to a Lead List for later, or route it straight into an active email sequence for immediate outreach. The search, the verification, and the send all live in the same session.
What Makes This Different From a Regular Search Bar
A keyword search matches text. AI Smart Search matches intent. Ask it for “junior QA basic automation skills and up to 2 years of experience in Poland” and it knows inAdvance that “junior” and “up to 2 years” express the same constraint in two different terms and applies both correctly instead of treating them as two competing filters.
This difference is you need data until October 2023 Semantic search uses the context and clusters of skills instead of splitting out words and phrases like traditional keywords, and tools built this way reveal so many more relevant profiles than a simple Boolean query with significantly fewer false positive matches. This is where the space is for those hours, for scrolling past technically-matching profiles, but practically-wrong because a Boolean string could not identify someone as having “5 years of Python”, versus “mentioned Python once in 2019”.
The AI parses the context of the company too. If you type business development SignalHire, the tool knows you want business development types at a company called SignalHire and not people who casually mention business development somewhere in their profile. That is a minor semantic difference with enormous real world scaling implications.
Use Cases: How Recruiters and Sales Teams Are Already Using It
For Recruiters: Collapse Sourcing Time on Hard-to-Fill Roles
Being a recruiter is no longer about guessing job title variations across companies to fill a specialized niche that requires a specific kind of technical expertise. Put in “senior frontend devs, React’s 5+ years of experience, in Berlin” and the AI bleaches tons of candidates even if the title said Frontend Engineer, UI Developer, or Software Engineer, Frontend. That’s the person you need, not the title that some random company used.
Pair that first search with the email finder and the loop closes fast. Find the candidate, reveal the verified contact, and add them to a Job Project or Lead List for tracking. Teams sourcing at volume can run the same natural-language query against a bulk search to enrich an entire shortlist in one pass instead of one profile at a time.
For Sales Teams: Build Targeted Account Lists Without Manual Filtering
For example: a sales rep/prospecting into a specific vertical types “marketing directors in NY, with SaaS experience, and growth strategy skills” vs manually stacking 6 filters and praying the logic coalesces too tightly or becomes too broad. The AI performs the balancing, so you get a list that can actually be reached out to — not an empty result set, and not one too large to handle.
From there, the workflow mirrors what a recruiter does. Reveal contacts, route the list into Lead Lists, and hand the whole batch to Email Sequences with a multi-step cadence already configured. The SignalHire database filters by company, industry, and location underneath the same natural-language layer, so a rep targeting “fintech companies in APAC with 50 to 200 employees” gets a company list before ever pulling an individual contact.
For Both: One Search, Every Downstream Tool
The search box itself isn’t where the real advantage comes in. But AI Smart Search directly integrates with every tool based on SignalHire’s curated data already created. The verified profile which would yield one from a manual filter query is the same result from the natural-language query, allowing it to move into the extension, into bulk enrichment, into a sequence, without a conversion step in between.
What SignalHire Says About the Launch
“For years we’ve been hearing from recruiters that the hardest part isn’t the sourcing database, it is translation of what you need into a query that the database can understand. AI Smart Search basically eliminates this step of translation. You describe the person. We handle the rest. Early users are telling us the most noticeable change is not speed (it is faster). It is that people are running searches they would have never written out as a Boolean string in the first place because it takes ten seconds to write it out in a sentence.”
The Bigger Trend This Fits Into
AI Smart Search was not something which appeared out of the blue. But recruiting and sales tooling has been moving to natural-language interfaces for two years, and the data supports the shift. Gartner’s research into AI-relevant roles found that on average, employees using AI-assisted workflows save 1.5 hours per day, which working in a sourcing context will start to mean more searches run, and more candidates reviewed, each week.
- Grand View Research projects the broader AI-in-HR market growing at a 24.8% compound annual rate through 2030, a pace that reflects genuine operational adoption rather than a passing trend.
- Gartner separately found that 82% of HR leaders plan to deploy agentic AI capabilities within the next year, which signals that natural-language and agent-driven tooling is becoming the expected baseline for sourcing platforms, not a differentiator that fades.
None of that data alters what is important on a day by day basis for a recruiter or an SDR: does the tool discover the right person faster than the alternative. This is the exam that AI Smart Search was designed to get through.
What’s Next: AI Pitch
Finding the right partner is half of the job done. The other half, the one that always takes longer, is reaching them with something that they actually want to read.
To address that second gap, SignalHire is working on an AI Pitch feature. It starts with an encapsulation of the idea: the minute you find and verify a contact in this way, AI Pitch creates a tailored opening message constructed from the real profile data you already have on hand, role, company context, recent activity, so outreach begins the very second sourcing is done. No separate copywriting step. Not some generic template devoid of everything specific to this person you just discovered.
FAQs
Do I need to learn Boolean search to use AI Smart Search?
No. Thats why the feature exists! You type in the natural worded query describing to the colleague of what they are looking for, i.e title, skills, experience level, and location and the AI does the back end work for the search.
Does AI Smart Search replace the regular filter panel?
No. The filter panel remains on all results pages. The common way it goes is users throw in a natural-language query, and if that shows a big list there are department, seniority, or company filters to narrow it down from there.
How is a contact verified once AI Smart Search finds it?
Just like all verification of any of your SignalHire contacts. Reveal contacts checks the result against a live source before it is able to return it when clicking with the cost deducted only when a valid deliverable contact is confirmed.
Can I use AI Smart Search with the Chrome extension?
Yes. Both the platform search and the in-browser lookup are powered by the same underlying AI matching that verifies contact data directly on LinkedIn and other professional profiles via the extension surfaces.
Does this work for finding companies, not just individual people?
Yes. Rather than a focused search for people, you get the People and Companies tabs next to each other in search results, in addition, a query written in natural language such as “fintech companies in APAC with 50 to 200 employees” returns a matching company list and a person-focused query returns candidates.
