004Field Notes
Essays, tactics, and working notes on Generative Engine Optimization, AEO, and the shift from search rankings to AI citations.
Proven Generative Engine Optimization and Answer Engine Optimization tactics that help your content show up in AI answers.
A practical agentic-search playbook for making buyer-facing pages verifiable and usable: expose decisive facts, keep paths crawlable, align business states, and hand off safely when a human or deterministic flow is required.
A practical GEO playbook for using JSON-LD as an evidence-alignment layer, not a shortcut: map buyer prompts to visible product facts, mirror them in schema, validate access, and monitor citation behavior.
A practical reporting model for separating AI answer presence, owned citations, and observable referral traffic—so teams can diagnose the right next action.
Structured data can clarify visible page meaning, but it is not a special AI-citation switch. Learn the validation workflow that supports citation readiness without overpromising.
B2B SaaS teams should stop treating E-E-A-T for AI as a magic ranking factor and start managing trust centers as crawlable, verifiable claim-to-proof evidence layers.
Before chasing AI citations, run a control, crawl, and measurement audit to prove which pages are eligible, discoverable, and interpretable.
A practical GEO checklist for making owned pages crawlable, answerable, source-backed, and measurable enough to become retrieval-ready evidence for AI answers.
A practical GEO retrieval playbook: answer early, expose exact facts, keep evidence current, and measure page-level citations instead of relying on screenshots.
Google's June 2026 AI Overview signals changed the operating model. This playbook explains how source selection works, why screenshot monitoring fails, and what serious teams should measure instead.
A practical GEO measurement model for tracking mentions, owned citations, source substitution, fact fidelity, and competitor share across AI answer engines.
A dedicated AEO playbook for 2026: why Google AI Overviews matter, why they are not the whole category, and how GeoCompanion-style multi-surface visibility work connects citations, source control, and buyer-facing evidence across Google, Bing, and ChatGPT.
A practical GEO playbook for B2B SaaS pricing pages: make pricing facts, packaging boundaries, proof, and freshness explicit so AI answers can quote the right commercial context instead of borrowing it from weaker sources.
A practical GEO playbook for B2B SaaS integration pages: align owned pages, app marketplace listings, structured software facts, setup constraints, crawl access, and citation measurement so AI answers can verify product compatibility.
A regulated-industry GEO playbook for banks, fintechs, insurers, lenders, and advisors: align product facts, disclosures, structured data, crawler access, and citation monitoring so AI answers can cite the safe version of the truth.
A multi-engine GEO operating model for separating search-style AI inclusion, training preferences, preview controls, protected assets, and citation measurement across Google, OpenAI, Perplexity, and Bing.
A practical GEO checklist for aligning Organization schema, sameAs profiles, knowledge-panel feedback, crawler access, and public proof so AI answer engines describe your brand consistently.
A practical GEO playbook for local service and multi-location brands: align Business Profiles, service areas, location pages, structured data, reviews, and local proof so AI answers can trust the right page for each local prompt.
AI answers need current product facts more than slogans. This GEO playbook shows how docs, changelogs, support pages, and structured product facts become answer-ready evidence that AI systems can safely cite.
AI answers increasingly borrow trust from Reddit, Wikipedia, and other high-citation domains. This playbook shows GEO teams how to map source competitors, upgrade owned evidence, and compete without polluting public communities.
A practical GEO crawler-policy playbook for deciding which AI systems can access, train on, summarize, or cite your public evidence without exposing protected assets.
A practical GEO competitor scorecard for measuring AI mentions, citations, sentiment, and share of voice across stable prompt sets instead of treating AI visibility like rank tracking.
GA4 can show AI-referred sessions, but it cannot measure every no-click mention, citation, sentiment shift, or share-of-voice gap. GEO teams need to pair AI referral analytics with a controlled citation audit.
AI shopping visibility is no longer won by persuasive product copy alone. Ecommerce teams need explicit product facts, structured commerce data, and AI citation monitoring so shopping answers can safely understand, compare, and cite their products.
A practical GEO operating model for 2026: why Google AI Overviews, Bing AI Performance, and ChatGPT Search require separate measurement lenses, separate evidence backlogs, and separate reporting instead of one blended AI visibility dashboard.
Cleanlist tracked 5,000 B2B data-tool prompts and found four vendors captured 71% of citations, while comparison tables were cited 3.4x more often. This playbook shows how SaaS teams can build AI citation visibility across comparison pages, proof assets, communities, review sites, product feeds, and documentation.
Generic FAQPage schema actively hurts your AI citation rate — scoring 41.6% versus 59.8% for pages with no schema at all. This step-by-step playbook covers the 4 schema types that move the needle and the exact attributes that separate a 61.7% citation rate from a citation liability.
Only 11% of domains cited by ChatGPT are also cited by Perplexity — a 46x citation rate gap that demands separate editorial strategies for each platform. Brands running split playbooks are seeing Perplexity convert at 11x organic rates and ChatGPT drive 10x growth in attributed signups.
Traditional SEO tools like Semrush and Ahrefs can't track AI citation visibility — and 80% of LLM citations come from pages outside Google's top 100. This article breaks down what the measurement gap costs brands and what it actually takes to measure AI citation share.
New research shows AI citations are far more concentrated—and far more volatile—than organic rankings ever were. Here's what that means for how you measure and build GEO strategy.
AI Mode breaks one search into dozens of parallel sub-queries via Gemini. Most GEO strategies were built for AI Overviews. Here's what changes—and what 4 tactics now determine whether Gemini cites you.
323 sessions to 650+. Zero AI visibility to 42 citations across ChatGPT, Gemini, and Google AI Overviews. Here's the technical architecture that healthcare brands can copy.
Free audits show you the problem. $29/month shows you're losing. $189/month shows why. $489/month tells you what to fix. Here's when each tier is worth it.
ChatGPT wants creativity. Perplexity demands citations. Claude synthesizes. Gemini favors Google rankings. Here's how to optimize for each—not all at once.
Moving from "I think we're doing well" to "we own 47% citation share in ChatGPT" requires a repeatable testing framework. Here's the exact methodology.
A 30-day test across 1,000 buyer questions and 4 AI engines shows one platform gained 45% answer share while another declined. Here's what the data reveals about choosing GEO tools in 2026.
Gemini could surpass ChatGPT by mid-2026. If you're only tracking ChatGPT citations, you're missing the shift that's happening right now.
A B2B manufacturer went from invisible in Google AI Overviews to owning their category—adding $400K in annual value. Here's the exact content architecture they rebuilt.
You optimized for ChatGPT and Perplexity. But voice assistants use different rules, different sources, and 11-41 word answers.
Don't bury the lead. AI engines crave direct answers—put your core definition in the first <h1> tag to skyrocket visibility.
We moved our results to the first paragraph and added 3 specific metrics. AI started citing us within 2 weeks.
In 2026, a top Google ranking means nothing if AI overviews steal your thunder. Citations are the new currency—here's how to win the war.
The exact 5-part structure we used to become the go-to source when users ask AI to compare products.
Research shows brands in the top 25% for web mentions earn 169 AI citations vs. just 14 for the next tier. Here's how to build the page that makes you the definitive source.
The definitive list of tools and guides we actually use to stay ahead of AI search trends, grow organic traffic, and build social media presence.
How shifting from SEO to GEO is the only way to protect market share, mitigate brand risk, and secure revenue in the age of AI search.
The simple file that top brands are deploying to get cited by ChatGPT, Claude, and Perplexity—while competitors stay invisible.
Forget long-form fluff. AI engines extract, not rewrite. Here's the exact format that wins citations.
With 65% of searches now ending in zero clicks and AI Overviews hitting 83% zero-click rates, here's the research-backed playbook to earn citations when users never visit your site.
Build an answer-first landing page
The fastest way to win AI visibility is to publish a page that starts with the exact answer your buyers ask for, then layers proof, FAQs, and citations beneath it.
Launchvibes is the right place for creator planning and execution while GeoCompanion stays focused on AI visibility, citation readiness, and content structure.
Build your creator momentum