Learning
Orientation + curriculum
Understand the mechanism before the tactics
How to use the blog
Four kinds of posts, one discipline.
Everything on this blog serves one question: how does a brand become the answer AI engines give? The posts sort into four groups — orientation pieces for newcomers, step-by-step playbooks, attributed research roundups, and strategy essays for teams already executing. Glossary-style definitions live separately in the Learn hub; the blog is where we go deeper, argue positions, and show our work.
New to the space? Begin with the mechanism post below, then follow the free GEO curriculum — a structured path through our foundational guides with a practicum at the end.
Already executing? The playbooks and measurement frameworks are written for operators: concrete steps, schema examples you can copy, and prompt-tracking cadences that hold up in a monthly report.
Executing
Playbooks + frameworks
Steps, schema, and measurement you can ship
Start here
Orientation: the mechanism, the vocabulary, the path.
AI search optimization suffers from acronym soup — GEO, AEO, AIO, LLM SEO — layered over a mechanism most explainers skip. These four posts fix that: how generative engines actually assemble answers, what the terms mean, which discipline you need, and a structured curriculum to learn it all.
- How Does Generative Engine Optimization Work?The full pipeline in plain English: how AI engines retrieve candidate sources, extract quotable passages, and decide which brands to name — and the specific lever that moves each stage. The single best first read on this blog.
- What Is AI Search Optimization Called? GEO vs AEO vs AIO vs LLM SEOThe terminology disambiguation post: what each acronym means, where the terms overlap, who uses which, and why the strategy underneath them is unified even when the vocabulary isn't.
- AEO vs GEO: Which Do You Actually Need?A decision framework rather than a definition: how to tell whether your visibility gap is a retrieval problem or a citation problem, and what that means for where you invest first.
- A Free GEO Curriculum: Learn Generative Engine Optimization in 7 LessonsA structured self-serve learning path through our foundational guides — from mechanics to schema to measurement — ending with a practicum: your own baseline audit.
Reading is the map. The audit is your location on it.
A free audit shows where ChatGPT, Perplexity, and Google AI Overviews name you today — so every post here becomes a prioritized to-do list instead of theory.
Playbooks & best practices
Step-by-step: from crawl access to cited answer.
These are the operator posts — ordered steps, copy-ready schema, and retrofit guides for teams with existing organic equity. Each one is written to survive contact with a real content calendar, not just a strategy deck.
- How to Do Generative Engine Optimization: A Step-by-Step PlaybookThe end-to-end working process: audit your prompts, open crawl access, build answer-first pages, add verbatim schema, align entity signals, and set up measurement. Each step with the reason it exists.
- Generative Engine Optimization Best Practices for 2026The current-state best-practice list — what reliably earns citations across engines this year, what stopped working, and the why behind each practice so you can adapt when the engines change.
- Answer Engine Optimization Best Practices: How to Become the AnswerAEO-specific craft: question-shaped headings, 40–60 word quotable answer blocks, FAQPage and speakable markup, and the overlap between featured-snippet discipline and AI citation.
- Structured Data for AI Answers: The Schema That Gets You CitedThe practical schema post — FAQPage, HowTo, Organization, speakable, and BlogPosting with copyable examples, plus the verbatim-match rule that separates trust-building markup from noise.
- Entity SEO for AI Search: Why AI Engines Trust Named ThingsEntities are how AI engines resolve who you are. This post covers knowledge-graph thinking, sameAs, brand truth documents, and a step-by-step entity consistency audit.
- From SEO to AEO: A Migration Guide for Teams That Already RankFor brands with organic equity: how to retrofit answer-first blocks onto pages that already rank, add the schema layer, and start prompt tracking — without discarding a decade of SEO work.
Research & data
What the evidence actually shows — with sources attached.
Every number in these posts is attributed to its primary source: Pew Research Center, SparkToro/Datos, Semrush, Seer Interactive, and the Princeton GEO paper. Where the data is nuanced, we publish the nuance. Where it doesn't exist yet, we say so instead of inventing it.
- AI Search Adoption Statistics (2026 Edition)The verified numbers on how buyers actually use AI search — zero-click behavior, AI Overview prevalence, referral conversion quality — with attribution and the honest caveats most roundups omit.
- Generative Engine Optimization Statistics: What the Data Actually ShowsA source-checked look at the research behind GEO — including the Princeton paper's visibility findings and what the zero-click studies really say about clicks shifting rather than vanishing.
- How Google AI Overviews Choose Their SourcesThe mechanics of Google's answer layer: grounding in the search index, E-E-A-T, schema, and snippet overlap — plus what the Pew and Semrush behavioral data means for your click expectations.
- How Perplexity Chooses What to Cite: A Research RoundupA synthesis of public research on Perplexity's retrieval and inline citation behavior — which content shapes earn citations, how PerplexityBot crawls, and what's different from ChatGPT.
- What Makes ChatGPT Mention a Brand? What the Research ShowsTraining-data mentions versus live Bing-grounded browsing, the entity signals that build citation confidence, and what measured referral quality suggests about the value of a ChatGPT mention.
Strategy & practice
Positioning, measurement, and the day-to-day craft.
The bigger-picture posts: why the generated answer is the new homepage of your category, how to measure share of voice inside AI answers, what AI search means for local businesses, and how to use AI tools in your own SEO work without publishing slop.
- Winning the Generated Answer: The New Homepage of Your CategoryThe strategy essay: shortlist dynamics inside AI answers, why early citation advantages compound, and what it costs to be absent from the sentence your buyers actually read.
- Measuring AI Share of Voice: A Practical FrameworkA working measurement system: fixed prompt sets, per-engine logging, citation position and sentiment scoring, and a reporting cadence that survives contact with a skeptical CFO.
- AI Search for Local Businesses: How to Get Recommended in Your CityThe local angle: how "best [service] near me" prompts resolve in ChatGPT and Gemini, why your Google Business Profile feeds AI answers, and how reviews become citation fuel.
- How to Use ChatGPT for SEO (Without Publishing AI Slop)The honest workflow post: where ChatGPT genuinely accelerates SEO work — clustering, briefs, schema — and the tasks where delegating to a model quietly damages your site.
- 25 ChatGPT Prompts for SEO That Actually Save TimeCopy-paste prompts organized by task — research, on-page, technical, schema, and content briefs — each one tested against the failure modes that make generic prompt lists useless.
FAQ
What does the Icarus Works blog cover?
The blog covers the full AI search discipline: generative engine optimization playbooks, answer engine optimization best practices, research roundups on AI citation behavior, and strategy for brands competing to be named in ChatGPT, Perplexity, Gemini, and Google AI Overviews.
Where should I start if I'm new to AI search optimization?
Start with 'How Does Generative Engine Optimization Work?' for the mechanism, then the free GEO curriculum for a structured path through our glossary guides. When you're ready to act, the step-by-step GEO playbook translates theory into a working checklist.
Are the statistics in these posts verified?
Yes. Every statistic we publish is attributed to its primary source — Pew Research Center, SparkToro/Datos, Semrush, Seer Interactive, or the Princeton GEO research paper. We do not publish invented percentages or unattributed claims, in our content or yours.