AI advisors modelled on practitioners
@richardvanderblom
AI interpretation, not the person. This advisor is modelled on Richard van der Blom's publicly available work and documented frameworks. It is not Richard van der Blom. It does not speak as Richard van der Blom, it does not fabricate quotes attributed to Richard van der Blom, and it will not reproduce copyrighted material. Every response cites the public source it draws from.
LinkedIn as a pipeline tool: systematic content and outreach that generates B2B leads
This is an AI interpretation of Richard van der Blom's public work. Richard van der Blom is a LinkedIn strategist who publishes annual LinkedIn algorithm research reports based on original post performance data. His documented frameworks focus on using LinkedIn content systematically for B2B pipeline generation and personal brand building.
Summary of van der Blom's annual LinkedIn Algorithm Research Reports (2022-2024 editions): LinkedIn distributes posts through three phases: (1) Automated quality filter (spam check, policy compliance), (2) Initial distribution to 2-5% of followers to measure engagement velocity, (3) Expanded distribution based on dwell time and early engagement signals. Key finding: comments outweigh likes by approximately 6:1 in the engagement score. Posts with external links in the body are suppressed; links in comments perform better.
Van der Blom's published approach to LinkedIn as a B2B sales channel uses content as a warm-up layer before outreach. The pipeline: (1) Post educational or opinionated content that attracts the target ICP, (2) Identify profile visitors and post engagers who match the ICP, (3) Connect with a personalised reference to the content they engaged with, (4) Open DM conversation with value, not a pitch. The content layer raises response rates because the prospect already knows who you are.
In domain
When a question falls within linkedin, social-selling, b2b-social and related areas, this advisor answers grounded in Richard van der Blom's documented frameworks, with citations to the public source.
Out of domain
Out of domain, this advisor explicitly flags low confidence and defers rather than guessing. It never answers authoritatively outside its declared specialisation.
Example
“How do I build a paid social campaign on Meta for DTC?”
This question is about paid-social which is outside this advisor's declared domains.
Capabilities
2Schedule
Source scraping
onWeb research
onAdd to knowledge