Framework · GEO Foundations
The Aivius GEO Knowledge Framework: 12 Layers From Discovery to Growth
A constraint map connecting crawlability, retrieval, evidence, citation, recommendation, buyer action, and repeat measurement.
Aivius Blog
Insights on AI search, GEO, and brand visibility
Practical frameworks, official-source analysis, and original evidence for turning AI search gaps into prioritized, testable growth work.
START WITH YOUR JOB
Choose the evidence you need next
Each path serves a different intent. Start with the task you need to complete rather than reading in publication order.
Understand GEODefinitions, boundaries, and the relationship with SEO.
Implement a testTechnical eligibility, evidence, and a repeatable workflow.
Measure visibilitySeparate mentions, citations, recommendations, and failures.
Connect to revenueUse UTMs, product events, CRM outcomes, and explicit limits.
Mechanics · AI Search
How AI Engines Move From Retrieval to Citation
Why eligibility, retrieval, evidence use, and visible citation are different states—and how to audit the stage that failed.
Measurement · GEO
AI Mention vs Recommendation vs Citation: A Measurement Guide
A brand can be named without being endorsed, recommended without being cited, or absent while its website is used as a source. Learn how to measure each signal without inflating your score.
Research Method · ChatGPT
Why One ChatGPT Query Cannot Measure Your Brand’s AI Visibility
One answer is an anecdote, not a benchmark. Build a repeatable test with balanced prompts, repeated observations, complete metadata, and honest confidence labels.
Pillar · GEO Foundations
What is GEO? Generative Engine Optimization Explained (2026 Guide)
GEO improves the eligibility, clarity, and evidence of content used in AI-assisted discovery. This guide explains what can be controlled, what must be tested, and how GEO complements SEO.
Data · Link Bait
50+ AI Search Statistics for 2026
A practical method for checking AI-search statistics: source class, denominator, collection date, engine scope, failures, and limits on what the number proves.
Implementation · ChatGPT
How to Get Cited in ChatGPT Search
Verify OAI-SearchBot access, build evidence for buyer questions, and measure citations separately from mentions, visits, and qualified demand.
Implementation · Google AIO
How to Optimize for Google AI Overviews
Use Search eligibility, non-commodity evidence, repeated observations, and conversion data—without relying on invented AI ranking tactics.
Technical · llms.txt
llms.txt: The Complete Guide for 2026 (with Examples)
Learn what the proposed llms.txt convention does, how it differs from robots.txt, which support claims can be verified, and when it is not the highest-priority technical fix.
Strategy · Reddit
Why AI Engines Cite Reddit (And How to Benefit)
Review dated evidence about Reddit citations, identify category-specific source patterns, and participate in relevant communities without manufacturing mentions or spam.
Turn AI search observations into growth work
Start with a directional snapshot, then investigate the evidence gaps worth acting on.
COMPLETE LIBRARY
More research and implementation guides
Evidence-led frameworks for technical eligibility, prompt research, content operations, measurement, and revenue attribution.
Research guide
How AI Search Changes the B2B Buying Journey
Map discovery, comparison, recommendation, validation, and conversion in AI-assisted buying journeys, then measure each stage without inventing attribution.
Research guide
AI Search Revenue Measurement: A Practical Model
Build a defensible AI search attribution model with referral data, UTMs, landing-page events, CRM outcomes, and explicit limits on causal claims.
Research guide
How AI Search Sources Shift—and How to Respond
Audit which sources appear in AI answers, separate observed citations from assumptions, and prioritize ethical, relevant third-party evidence.
Research guide
GEO Team Workflow: Roles, SLAs, and Measurement
Coordinate content, SEO, product, engineering, PR, and analytics with clear GEO owners, review gates, service levels, and shared outcome metrics.
Research guide
The GEO Talent Profile: Skills and Hiring Scorecard
Evaluate GEO candidates across search fundamentals, research judgment, technical fluency, evidence quality, analytics, and cross-team execution.
Research guide
Google AI Mode Optimization: A Testable Workflow
Apply Google’s current Search guidance to AI Mode, improve eligibility and usefulness, and run controlled tests across visibility, clicks, and conversions.
Research guide
High-Intent Query Optimization for AI Search
Build, classify, and test decision-stage AI prompts using an auditable framework that keeps observed visibility separate from revenue attribution.
Research guide
How to Build a GEO Team: Roles and Workflow
Design a practical GEO operating model with clear roles, editorial review, technical SEO, measurement, and a repeatable weekly execution cadence.
Research guide
How to Turn AI Search Visibility Into Revenue
Connect AI search observations to qualified visits, leads, paid audits, and revenue with a staged funnel that avoids false attribution claims.
Research guide
SEO vs GEO: What Changes and What Stays the Same
Compare SEO and GEO without false tradeoffs: preserve crawlability and helpful content, then add prompt research, citation testing, and outcome measurement.
Research guide
Why SEO Rankings Alone Do Not Explain AI Visibility
SEO remains foundational for AI search, but rankings alone do not measure retrieval, citation, recommendation, or conversion. Use a staged diagnostic instead.