algoSlice
A personal publishing site by Satya Janghu for understanding search systems, AI-mediated discovery, and the workflows behind organic growth.
Read practical guides, working notes, and decision models that separate evidence, interpretation, recommendation, and honest uncertainty.
Start with these guides
Entry points for search-led content, answer engines, organic growth planning, and repeatable content operations.
A Content Refresh Engine for SEO Teams
A practical SEO refresh workflow for finding decaying pages, choosing the right intervention, and measuring what changes after publication.
A Lightweight Automation Checklist for Content Teams
A practical checklist for deciding which content operations to automate, which to keep human, and how to label generated outputs clearly.
AI Visibility Basics for Search-Led Content
A plain-language guide to AI Visibility / AEO and the source signals that can make content easier to retrieve, summarize, and represent accurately.
An Organic Growth Operating Model for Search-Led Teams
A practical model for connecting research, publishing, refresh, and measurement without treating every activity as a traffic guarantee.
Choose a reading path.
Each reading path keeps a clear focus: how search systems find sources, how answer engines interpret pages, how growth work becomes repeatable, and where automation helps without replacing judgment.
The point is clearer reasoning, not louder certainty. Examples and charts are labeled when they are illustrative.
Reading path
SEO
Search-system notes for improving pages, clusters, and internal pathways without treating rankings as certain.
Reading path
AEO
Notes on making sources easier to find, understand, and reuse in AI-mediated discovery.
Reading path
Growth Marketing
Planning notes for connecting research, publishing, measurement, and refresh work into a steady operating rhythm.
Reading path
Automation
Workflow notes for repeating research, refresh, publishing, and QA work without outsourcing editorial judgment.
How the writing is framed
algoSlice is built for readers who need useful models, not inflated promises about rankings, citations, or growth.
Evidence
Start with what can be observed.
Guides separate data, examples, interpretation, and speculation so the useful part of an idea is easier to inspect.
Systems
Look at the discovery path.
SEO, AEO, and content strategy are treated as connected systems: crawlability, structure, entity clarity, answers, and measurement.
Judgment
Keep the human review loop.
Automation appears where it can reduce repeated work, with clear labels for drafts, sample data, and decisions that still need editorial review.
Written by
Satya Janghu
SEO Consultant & Growth Marketer
Satya Janghu writes guides and working notes on SEO, AI Visibility / AEO, organic growth, and content operations.