foundation
Core explainers for AEO, GEO, SEO overlap, and the vocabulary teams need before they build a program.
Guides
Structured explainers for AEO, GEO, AI visibility, prompt monitoring, source influence, and content strategy.
Collection definition
The guide library explains the full AEO/GEO operating model: visibility shows whether the brand appears, but interpretation, source influence, buyer framing, and content prioritization explain what the signal means and what should happen next.
Start here
These pages give the clearest path from basic definitions into the interpretation, source influence, and content decision work that makes AEO/GEO useful.
foundation
What Is AEO?
A plain-English starting point for answer engine optimization: what teams should measure, where SEO still matters, and when answer quality matters more than mentions.
strategy
What Is GEO?
A practical definition of generative engine optimization for teams trying to improve how AI systems synthesize, compare, and explain a brand.
platform
AI Visibility
How to use AI visibility as a baseline signal while avoiding the trap of treating appearance alone as proof of buyer impact.
foundation
AI Discovery
How buyers encounter, compare, and understand brands through AI answers, and how teams can diagnose whether discovery is helping or hurting.
platform
Source Influence
How to trace the owned, third-party, support, review, and community sources that may shape what AI answers say about a brand.
strategy
Content Prioritization for AEO
How to rank AEO/GEO fixes when audits produce too many plausible updates and the team needs a defensible next move.
Browse by theme
Use these groupings to move from visibility signals into interpretation, source influence, buyer framing, and content decisions.
strategy
Operating-model guides for turning visibility signals into source analysis, buyer framing, and content decisions.
measurement
Guides for reading visibility, prompt, citation, and sentiment signals without mistaking metrics for strategy.
content
Content strategy guides for improving pages, docs, comparisons, and evidence that shape AI interpretation.
technical
Technical and structural guidance for making important content accessible, connected, and easy to parse.
platform
Platform-specific guides for understanding how major AI answer surfaces may find and frame brands.
Foundation guides
Core explainers for AEO, GEO, SEO overlap, and the vocabulary teams need before they build a program.
Strategy guides
Operating-model guides for turning visibility signals into source analysis, buyer framing, and content decisions.
strategy
LLM Visibility
What LLM visibility can and cannot show, including when prompt coverage, answer quality, and source context matter more than mention counts.
strategy
How Support Docs Shape AI Answers
Support docs, known issues, and troubleshooting content can shape AI answers if they lack context, scope, or resolution status.
strategy
Content Decision System for AI Discovery
A category-defining guide to content decision systems for AI discovery: what they are, when they matter, and how they differ from visibility dashboards or workflow tools.
Measurement guides
Guides for reading visibility, prompt, citation, and sentiment signals without mistaking metrics for strategy.
measurement
AEO vs. GEO
Compare AEO and GEO by answer quality, generative synthesis, source influence, and content prioritization.
measurement
AI Search Optimization
AI search optimization combines discoverability, answer quality, source influence, and content prioritization.
measurement
Negative AI Brand Mentions
Negative AI brand mentions require diagnosis across answer accuracy, sentiment, sources, competitor framing, and content gaps.
measurement
Brand Framing in AI Answers
Brand framing in AI answers shows how a brand is positioned, compared, and interpreted in buyer decision contexts.
Content guides
Content strategy guides for improving pages, docs, comparisons, and evidence that shape AI interpretation.
content
AEO vs. SEO
Understand how AEO complements SEO by focusing on AI answer interpretation, source influence, and content decisions.
content
How ChatGPT Finds Brands
Understand how ChatGPT-style answers may surface brands, interpret sources, and frame recommendations without overclaiming control.
content
The Limits of AI Citation Tracking
AI citations are useful evidence trails, but they do not fully explain interpretation, source influence, or content priorities.
content
Buyer Questions in AI Search
Buyer questions help teams build AI search prompt sets that reflect real evaluation, comparison, validation, and objection workflows.
Technical guides
Technical and structural guidance for making important content accessible, connected, and easy to parse.
technical
GEO vs. SEO
How generative-engine work changes the SEO playbook when buyers see synthesized recommendations instead of only ranked blue links.
technical
How Perplexity Finds Brands
How Perplexity-style cited answers can reveal source clues, distort buyer framing, and help teams decide which evidence needs review.
technical
Prompt Monitoring
Prompt monitoring helps teams inspect AI answers, but the real value comes from interpretation, source influence, and prioritized content updates.
technical
AEO for B2B SaaS
AEO for B2B SaaS helps teams inspect how AI systems describe products, use cases, competitors, proof, and buying risks.
Platform guides
Platform-specific guides for understanding how major AI answer surfaces may find and frame brands.
platform
How Google AI Overviews Find Sources
Understand how to think about Google AI Overviews sources, answer framing, and content priorities without overclaiming control.
platform
What Is Palmata?
A plain-English explanation of Palmata and the category it belongs in: content decision systems for AI discovery.
platform
AEO Operating Model
Build an AEO operating model that connects prompt monitoring, source influence, interpretation, and content prioritization.