Knowledge Base
Everything you need to understand AI visibility
Research findings, methodology documentation, in-depth guides, and use-case playbooks on Generative Engine Optimization. Built for enterprise marketing teams that need evidence, not vague category talk.
Start Here
Choose the page that matches your job to be done.
The library is easier to digest when the first decision is clear. These are the four practical entry points.
Featured Guide
Understand the model first.
Definitions, mechanics, measurement logic, and the reasons brands disappear from AI-generated shortlists.
Read the flagship guideResearch
Go straight to the data.
Original research, methodology notes, and category-level findings that separate anecdote from pattern.
View research and dataUse Cases
See how the work changes by category.
Playbooks for B2B SaaS, professional services, and enterprise technology teams exposed to AI visibility gaps.
Browse use casesObjection Handling
Handle the questions that block action.
Use the objection library when the internal conversation stalls on budget, urgency, proof, or category maturity.
Open the objection libraryRecommended Order
How to use this library.
Most teams should not start with tools. Start with the model, measure the gap, then build the case for fixing it.
-
01
Learn the mechanics
Read the core guide to understand how AI systems choose, cite, and recommend sources.
-
02
Benchmark your position
Use the data and methodology pages to see where citation coverage should be measured and why it breaks.
-
03
Translate it into action
Use the playbooks and objection handlers to align stakeholders and prioritize the work that moves visibility.
Need the operational layer?
See how Persipica runs the work.
If you are past exploration and need diagnosis, monitoring, or a structured GEO program, start with a 30-minute discovery call.
