How can an AI marketing agent use PhantomBuster for marketing?
An AI marketing agent can use PhantomBuster to collect the people behind public activity on sites like LinkedIn, then decide which of them are worth contacting. PhantomBuster is a cloud automation platform for lead generation. Its automations, which it calls phantoms, run on a schedule and gather data such as the results of a LinkedIn search, the people who commented on a post, or the guests of a LinkedIn event.
A phantom is good at collecting names. It doesn't know which of those names fit your business. That judgment is where an agent earns its place. It can choose which searches, posts, and events are worth collecting from, set up the phantoms, read what comes back, and turn a raw export into a short list of qualified people. Kite is one example of an agent that does this work through your connected PhantomBuster workspace.
Marketing jobs Kite can do with PhantomBuster
The jobs below follow a list from the place people gather to the qualified prospects your team contacts. Kite decides what to collect and sets up the phantoms, turns their results into a scored list, keeps PhantomBuster's lead storage organized, and makes sure the phantoms are worth the time they use.
Collect people from LinkedIn searches, posts, and events
Kite sets up phantoms that collect the people your strategy says you should be talking to. It can create a new phantom or update one your team already has, including its settings and its launch schedule. That's how it decides what a phantom works from and when it runs.
Kite starts from what it knows about your business, not from a blank phantom. Say a competitor posts about a webinar on a problem you solve, and three hundred people comment. Those commenters told the whole internet they care about that problem. Kite proposes a phantom that collects them, sets it to run once a day while the conversation is active, and stops it once the comments taper off.
The same approach works for a LinkedIn search for heads of revenue operations at mid-sized software companies, or for the guest list of a LinkedIn event your buyers are attending. Kite reads every phantom in your workspace first, with its configuration and schedule, so it adjusts the ones you already rely on instead of building duplicates.
Turn phantom results into a qualified, scored list
Kite reads what each phantom found and decides who belongs on your list. It follows each run's status, progress, and output, and it reads the people and companies the phantom saved to your PhantomBuster lead storage.
A raw export of event guests mixes buyers with vendors, recruiters, and students. Kite checks each person against your ideal customer profile. It confirms their current role and company with its built-in research sources, then scores each person from one to five with a short reason. Someone whose title, company size, and industry all match your best customers scores a five. A sales consultant who happened to register scores a one.
From there, Kite adds what your team needs to reach the people who made the cut. That includes a professional email when its built-in sources return one, the company details that explain why the account fits, and what the person posted or commented on. Kite brings the prioritized list back to your conversation in the Kite web app or Slack. It can then add the leads to your connected CRM or use them as the audience for an email campaign.
Keep your PhantomBuster leads and lists organized
Kite saves qualified people and companies back into PhantomBuster so your workspace holds a clean, current audience. It saves leads with their LinkedIn profile data and the extra details it found, either one at a time or in batches of up to twenty. It also saves company records with LinkedIn company data and custom properties, such as the fit score and the reason for it.
Lists keep that audience usable. Kite creates and updates lists in PhantomBuster's lead storage using filter criteria, such as every saved lead at a company Kite marked as a strong fit. It searches your saved leads and companies before adding new ones, so a person collected by two different phantoms ends up as one record. When a campaign is over or a list has gone stale, Kite can delete the leads or lists you no longer need.
Make sure your phantoms are worth the time they use
Kite keeps an eye on how your phantoms run and what they cost against your PhantomBuster plan. It reads your workspace's remaining resources and usage, the phantoms running right now, and each phantom's run history. It can also export PhantomBuster's usage reports, which show run statistics for every phantom.
That data tells Kite which phantoms pay off. If the phantom collecting a broad LinkedIn search uses most of your execution time but produces only a handful of people who score four or five, Kite tells you and proposes narrowing the search or retiring the phantom. It can stop a running phantom, take a phantom off its schedule, or pause every scheduled launch in the workspace at once when you want everything to hold.
What Kite reads and changes in PhantomBuster
Kite reads your phantoms, their results, and your saved leads to plan and judge its work. It writes phantom settings and schedules, and it writes leads, companies, and lists into PhantomBuster's storage. The lists below separate the two.
Information Kite can read
- PhantomsEvery phantom in your workspace, with its configuration, launch schedule, and execution settings, plus how phantoms are grouped and ordered. Kite reads them before it creates or changes one.
- Runs and outputEach phantom's past and current runs, with status, progress, console output, and messages. Kite uses them to know when a list is ready and what a run produced.
- Saved leads and companiesThe people and companies stored in your PhantomBuster workspace, searchable by criteria, and the leads in a given list. Kite reads them to qualify people and to avoid duplicates.
- ListsEvery list in your lead storage and the filter that defines it.
- Usage and resourcesYour workspace's remaining resources, its running phantoms, and usage reports for phantoms and runs. Kite uses them to decide which phantoms are worth their execution time.
Information Kite can create or change
- PhantomsNew phantoms and updates to existing ones, including their settings and launch schedule. Kite can also reorganize phantoms into groups and delete a phantom you no longer use.
- Running phantomsKite stops a running phantom, takes it off its schedule, or removes every scheduled launch in the workspace.
- LeadsNew and updated leads with LinkedIn profile data, enrichment details, and custom properties such as a fit score. Kite saves them one at a time or in batches and deletes leads you no longer need.
- CompaniesNew and updated company records with LinkedIn company data and custom properties, saved one at a time or in batches.
- ListsNew and updated lists defined by filter criteria, and deletion of lists you're finished with.
How Kite connects to PhantomBuster
Add an API key for your PhantomBuster workspace. Kite uses the access granted to that key. PhantomBuster isn't one of Kite's built-in tools, so you'll need your own PhantomBuster account. Your phantoms keep running in PhantomBuster's cloud under your PhantomBuster plan, with the accounts you've already connected there.
You don't need a separate data provider to qualify what the phantoms collect. Kite confirms roles, adds professional emails, and fills in company details with its built-in research sources, including Apollo. Start with the result you want, such as "find the people engaging with posts about our category on LinkedIn and tell me which ones are worth contacting." Kite already knows your positioning, customers, and competitors. It proposes which posts, searches, or events to collect from and how often to run each phantom, then brings the plan to you to confirm in the Kite web app or Slack.
How-to guides using PhantomBuster
- How to build a LinkedIn prospect list with PhantomBuster Kite picks the LinkedIn search, post, or event where your buyers gather, sets up a phantom to collect the people there, and turns the results into a scored list of companies and people with the contact details your team needs.
Where PhantomBuster fits in Kite's marketing work
PhantomBuster adds a source of prospects that comes from what people do on LinkedIn, not only from who they are. Kite's built-in sources find people by title, company, and location. A phantom adds the people who commented on a relevant post or saved themselves a seat at a relevant event. Kite qualifies both groups against the same criteria and merges them into one scored list.
PhantomBuster supplies the attendee list when an event lives on LinkedIn. Kite collects the guests of the event page, finds the ones who match your ideal customer profile, and gives your team a short list to reach before the event and to follow up with afterward.
PhantomBuster gives Kite the context that makes a LinkedIn message personal. When Kite knows a prospect commented on a competitor's webinar post, it can write a connection note that mentions the topic they cared about, rather than a generic introduction.
Limits and product-specific details
- Phantoms run on their schedule. Kite sets when a phantom launches and how often it repeats, and it can stop a phantom at any time. Each run happens at the time the schedule sets.
- Execution time comes from your PhantomBuster plan. Kite reads how much your workspace has left and plans its schedules around it.
Common questions
Do I need PhantomBuster if Kite already researches LinkedIn profiles?
You don't need it to build a lead list, because Kite's built-in research already finds people by title, company, seniority, and location and reads their public profiles and recent posts. PhantomBuster earns its place when the list should come from activity in a specific place: the people who commented on one post, the guests of one event, or the results of a search you've saved. If your team already runs phantoms, connecting PhantomBuster lets Kite put that collection to work.
Can Kite use the phantoms my team already set up?
Yes. Kite reads every phantom in your workspace with its settings, schedule, and run history. It can read the results of a phantom your team built months ago, change its schedule, or update its settings to point at a new search, so the work you've already done keeps paying off.