Turn competitor research into a reusable profile search
Use public research to sharpen a customer hypothesis, then let Notis express it as structured People Data Labs search criteria.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Generate Search Query
Converts natural language queries into structured pdl elasticsearch queries for people or company searches; generates optimized query structure without executing the search.
Why this helps
Competitor research often ends as a note because translating observations into a search query takes too much extra effort.
- Translate competitor audience research into a reusable query.
- Keep assumptions visible before profiles are searched.
- Move from scattered market notes to structured prospect criteria.
Setup
Build it in a few focused steps.
- 1Connect Openperplex and People Data Labs to Notis once in the portal.
- 2Create a recurring automation in the portal or ask Notis conversationally to turn competitor research into a query.
- 3Write one instruction asking Notis to research the competitor audience and generate, but not execute, a People Data Labs people search query for your chosen segment.
- 4Choose a schedule and a channel for run reports.
- 5Test with one competitor and review the query before using it.
Questions about this workflow
Will the query be executed automatically?
The Generate Search Query action creates the structured query without executing it.
Can I review assumptions first?
Yes. Ask Notis to include the research basis and summarize the criteria used in its run report.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Openperplex to Peopledatalabs. A trigger fires from one place; an action lands in another.
Openperplex triggers
Peopledatalabs actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Autocomplete field suggestions
Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Clean company data
Cleans and standardizes company information based on a name, website, or profile url; providing at least one of these inputs is highly recommended for meaningful results.
Clean location data
Cleans and standardizes a raw, unformatted location string into a structured representation, provided the input is a recognizable geographical place.
Clean school data
Cleans and standardizes school information; provide at least one of the school's name, website, or profile for optimal results.
Person Search with Elasticsearch
Performs a search for person profiles within people data labs using a custom elasticsearch domain specific language (dsl) query. this action allows for detailed and complex filtering based on various attributes of a person's profile, such as job title, skills, location, experience, and more. results can be paginated using the `size` and `scroll token` parameters. preconditions: - the `query` parameter must contain a valid elasticsearch dsl query string, structured as a json object. - if the `dataset` parameter is specified, it must be one of the allowed values: 'resume', 'email', 'phone', 'mobile phone', 'street address', 'consumer social', 'developer', 'all'. - note: this action queries the people data labs person search endpoint (`/v5/person/search`) and returns person records.
Enrich Company Data
Enriches company data from people data labs with details like firmographics and employee counts, requiring at least one company identifier.
Enrich IP Data
Enriches an ip address with company, location, metadata, and person data from people data labs.
Enrich job title data
Enhances a job title by providing additional contextual information and details.
Connect any two apps with Notis in the middle.
Openperplex and Peopledatalabs, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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