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LinkedIn Engagement Suggester

by recued-core v1 context

Searches public content for contacts with LinkedIn profiles and suggests personalized engagement comments using AI.

How it works

Data fetch
contact contact-reader-hubspot
Fetch reader from hubspot
Process (11 steps)
check_linkedin guard
Stop if contact linkedin is empty
clean_company coalesce
Use the first available value from: contact company,
search_query template
Generate text from a template
search_results search-exa
Search on exa
summary_metrics to_summary
Format results as a summary card
has_results compare
Check if search results has data
should_run_ai all
Check if all conditions are true
ai_context pick
Keep only specific fields from
skip: step.should_run_ai equal false
hashed hash_replace
Anonymize sensitive fields for safe AI processing
skip: step.should_run_ai equal false
engagement_suggestion ai-generate
AI generates content from a template
skip: step.should_run_ai equal false
restored hash_restore
Restore anonymized fields back to real values
skip: step.engagement_suggestion is_null
Output
summary summary_metrics
ai_analysis restored

Settings (2)

Configurable at install. Defaults shown — change anytime in the extension.

tone choice = professional (professional, casual, friendly)
enable ai toggle = on

Tags

hubspot contactlinkedinengagementexa

Details

12 steps 2 configurable settings recipe_id: suggest-contact-linkedin-engagement-hubspot

Install

Install in Recued View publisher Open Kitchen

If the webclient is not paired yet, copy suggest-contact-linkedin-engagement-hubspot and paste it after pairing.