LinkedIn Intelligence is a domain intelligence service within MAIA Decision OS. It runs alongside the decision rehearsal pipeline on the same Cloudflare infrastructure, the same Claude API connection, and the same billing backend.
It is powered by the LinkedIn Expert Knowledge System — 27 categories of confirmed, multi-source verified data covering the full scope of the LinkedIn platform. The knowledge base contains 3,785 confirmed paragraphs, 37 data tables, and 270 sub-categories.
The 4 Functions
Audit My LinkedIn Presence — Score your profile or company page element-by-element against confirmed specs and benchmarks. GREEN / YELLOW / RED with data-backed fixes weighted by algorithm impact. Runs on Opus.
Build a LinkedIn Strategy — Multi-category strategic plan with audience targeting, platform mechanics, tactics with confirmed performance data, budget framework, and measurement plan. Three output modes: execution plan, competitive positioning brief, or presentable report. Runs on Opus.
Optimize My Content — Evaluate a post, article, or newsletter against confirmed algorithm mechanics before you publish. Penalty triggers flagged. Depth Score optimization. Golden Hour readiness assessed. Runs on Sonnet.
Architect My LinkedIn Campaign — Company-specific campaign architecture — positioning, content calendar, ad strategy with confirmed targeting and cost benchmarks, employee advocacy plan, and measurement framework. Upload your previous campaign plan for iterative refinement. Runs on Opus.
How It Differs from the Decision Rehearsal Pipeline
The decision rehearsal pipeline runs 47 specialized agents across 9 governed stages to rehearse a high-stakes organizational decision. LinkedIn Intelligence is a separate, parallel service — it does not run inside the pipeline. It uses the same infrastructure and the same Claude API, but operates independently with its own functions and its own billing (LinkedIn Intelligence Packs, which are priced separately from Decision Rehearsals).
How It's Governed
Each function activates structured behavior rules that control how the agent reasons, cites, and constrains itself. The agent does not fabricate statistics, does not give generic cross-platform advice, and does not recommend tactics without citing confirmed performance data.
If the knowledge base does not contain the answer, the agent declares the gap explicitly: "This is not covered in the current LinkedIn Expert Knowledge System."
All functions follow Zero Data Retention. Your uploaded data is processed in memory and purged when the function completes.
For more detail, visit maiaos.ai/linkedin-intelligence.