# Prompt Architect

> Prompt Architect tracks brand visibility inside AI answer engines (ChatGPT, Perplexity, Gemini). We measure citation rate, Share of Voice, and GEO performance for B2B brands. This blog is our running playbook on Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).

## Blog — English

- [How to Track AI Traffic from ChatGPT, Perplexity, and Gemini](https://www.promptarchitect.app/blog/how-to-track-ai-traffic-from-llms): Track AI traffic from LLMs in GA4: referrer signatures, custom channel groups, UTM rules, and the 2026 measurement stack used by Prompt Architect.
  - Raw markdown: https://www.promptarchitect.app/blog/how-to-track-ai-traffic-from-llms.md
- [Schema Markup for LLM Citations: The 2026 Strategy Guide](https://www.promptarchitect.app/blog/schema-markup-for-llm-citations-2026): Schema markup for AI search in 2026: which structured-data types LLMs actually parse, citation lift evidence, and the rollout strategy Prompt Architect uses.
  - Raw markdown: https://www.promptarchitect.app/blog/schema-markup-for-llm-citations-2026.md
- [What is GEO? Generative Engine Optimization Explained (2026)](https://www.promptarchitect.app/blog/what-is-geo-generative-engine-optimization): Generative Engine Optimization (GEO) defined: what it is, how it differs from AEO and SEO, and the 2026 playbook for earning citations inside AI answers.
  - Raw markdown: https://www.promptarchitect.app/blog/what-is-geo-generative-engine-optimization.md
- [Share of Voice in AI: How to Measure Brand Visibility in LLMs](https://www.promptarchitect.app/blog/share-of-voice-in-ai): Share of Voice in AI is the fraction of LLM answers that cite your brand. Here is the formula, a 30-day measurement plan, and the three pitfalls that distort the number.
  - Raw markdown: https://www.promptarchitect.app/blog/share-of-voice-in-ai.md
- [5 Schema Patterns That Get Your Content Cited by AI (With Code)](https://www.promptarchitect.app/blog/5-schema-patterns-llm-cited): Five JSON-LD schema patterns that lift LLM citation rate, with production-ready code examples for FAQPage, HowTo, Article, Dataset, and ClaimReview.
  - Raw markdown: https://www.promptarchitect.app/blog/5-schema-patterns-llm-cited.md
- [How ChatGPT, Perplexity, and Gemini Choose Their Sources](https://www.promptarchitect.app/blog/how-llms-choose-sources): ChatGPT, Perplexity, and Gemini retrieve and cite differently. Here is the engine-level breakdown of how each picks sources, and what it changes for content strategy in 2026.
  - Raw markdown: https://www.promptarchitect.app/blog/how-llms-choose-sources.md
- [AEO vs SEO: What's the Difference? (2026 Guide)](https://www.promptarchitect.app/blog/aeo-vs-seo-framework-2026): AEO vs SEO compared: how answer engine optimization differs from SEO in 2026, the 7 key divergences, 4 overlaps, and a decision matrix.
  - Raw markdown: https://www.promptarchitect.app/blog/aeo-vs-seo-framework-2026.md

## Blog — 한국어

- [ChatGPT, Perplexity, Gemini AI 트래픽 추적 방법](https://www.promptarchitect.app/ko/blog/how-to-track-ai-traffic-from-llms): GA4 에서 LLM AI 트래픽 추적: 리퍼러 시그니처, 커스텀 채널 그룹, UTM 규칙, 그리고 Prompt Architect 의 2026 측정 스택.
  - Raw markdown: https://www.promptarchitect.app/ko/blog/how-to-track-ai-traffic-from-llms.md
- [LLM 인용을 위한 스키마 마크업: 2026 전략 가이드](https://www.promptarchitect.app/ko/blog/schema-markup-for-llm-citations-2026): 2026 년 AI 검색을 위한 스키마 마크업: LLM 이 실제로 파싱하는 구조화 데이터 유형, 인용률 상승 근거, Prompt Architect 의 롤아웃 전략.
  - Raw markdown: https://www.promptarchitect.app/ko/blog/schema-markup-for-llm-citations-2026.md
- [GEO란? 생성형 엔진 최적화 완벽 정리 (2026)](https://www.promptarchitect.app/ko/blog/what-is-geo-generative-engine-optimization): Generative Engine Optimization (GEO) 정의: AEO 및 SEO 와의 차이, 2026 년 AI 답변 안에서 인용을 얻기 위한 실행 플레이북.
  - Raw markdown: https://www.promptarchitect.app/ko/blog/what-is-geo-generative-engine-optimization.md
- [AI 시대의 Share of Voice: LLM 안에서 브랜드 가시성을 측정하는 법](https://www.promptarchitect.app/ko/blog/share-of-voice-in-ai): AI 시대의 SoV 는 고정 프롬프트 셋에서 브랜드가 인용된 답변의 비율입니다. 공식, 30 일 측정 플랜, 숫자를 왜곡하는 세 가지 함정을 정리했습니다.
  - Raw markdown: https://www.promptarchitect.app/ko/blog/share-of-voice-in-ai.md
- [AI 가 인용하는 콘텐츠를 만드는 5 가지 스키마 패턴 (코드 포함)](https://www.promptarchitect.app/ko/blog/5-schema-patterns-llm-cited): LLM 인용률을 끌어올리는 5 가지 JSON-LD 스키마 패턴. FAQPage, HowTo, Article, Dataset, ClaimReview 각각에 대한 프로덕션 레벨 코드 예제를 제공합니다.
  - Raw markdown: https://www.promptarchitect.app/ko/blog/5-schema-patterns-llm-cited.md
- [ChatGPT, Perplexity, Gemini 는 어떻게 출처를 고르는가](https://www.promptarchitect.app/ko/blog/how-llms-choose-sources): ChatGPT, Perplexity, Gemini 는 서로 다른 방식으로 검색하고 인용합니다. 각 엔진의 출처 선정 메커니즘과 2026 년 콘텐츠 전략에 미치는 영향을 정리했습니다.
  - Raw markdown: https://www.promptarchitect.app/ko/blog/how-llms-choose-sources.md
- [AEO vs SEO: 무엇이 다른가? (2026 가이드)](https://www.promptarchitect.app/ko/blog/aeo-vs-seo-framework-2026): AEO 와 SEO 의 차이: 2026 년 답변 엔진 최적화가 SEO 와 어떻게 다른지, 7 가지 핵심 차이점과 4 가지 공통점, 의사결정 매트릭스로 정리.
  - Raw markdown: https://www.promptarchitect.app/ko/blog/aeo-vs-seo-framework-2026.md

## Blog — Deutsch

- [KI-Traffic von ChatGPT, Perplexity und Gemini tracken](https://www.promptarchitect.app/de/blog/how-to-track-ai-traffic-from-llms): KI-Traffic von LLMs in GA4 tracken: Referrer-Signaturen, eigene Kanalgruppen, UTM-Regeln und der Mess-Stack 2026 von Prompt Architect.
  - Raw markdown: https://www.promptarchitect.app/de/blog/how-to-track-ai-traffic-from-llms.md
- [Schema-Markup für LLM-Zitate: Der Strategieguide 2026](https://www.promptarchitect.app/de/blog/schema-markup-for-llm-citations-2026): Schema-Markup für KI-Suche 2026: welche Strukturdatentypen LLMs tatsächlich parsen, Belege zur Zitatzunahme, und der Rollout von Prompt Architect.
  - Raw markdown: https://www.promptarchitect.app/de/blog/schema-markup-for-llm-citations-2026.md
- [Was ist GEO? Generative Engine Optimization erklärt (2026)](https://www.promptarchitect.app/de/blog/what-is-geo-generative-engine-optimization): Generative Engine Optimization (GEO) definiert: was es ist, wie es sich von AEO und SEO unterscheidet, und der 2026-Playbook für KI-Zitate.
  - Raw markdown: https://www.promptarchitect.app/de/blog/what-is-geo-generative-engine-optimization.md
- [Share of Voice in der KI: Markensichtbarkeit in LLMs messen](https://www.promptarchitect.app/de/blog/share-of-voice-in-ai): Share of Voice in der KI ist der Anteil der LLM-Antworten, die Ihre Marke zitieren. Hier sind die Formel, ein 30-Tage-Messplan und die drei Fallen, die die Zahl verzerren.
  - Raw markdown: https://www.promptarchitect.app/de/blog/share-of-voice-in-ai.md
- [5 Schema-Muster, mit denen KI Ihre Inhalte zitiert (mit Code)](https://www.promptarchitect.app/de/blog/5-schema-patterns-llm-cited): Fünf JSON-LD-Schema-Muster, die die LLM-Zitationsrate erhöhen, mit produktionsreifen Codebeispielen für FAQPage, HowTo, Article, Dataset und ClaimReview.
  - Raw markdown: https://www.promptarchitect.app/de/blog/5-schema-patterns-llm-cited.md
- [Wie ChatGPT, Perplexity und Gemini ihre Quellen auswählen](https://www.promptarchitect.app/de/blog/how-llms-choose-sources): ChatGPT, Perplexity und Gemini retrieven und zitieren unterschiedlich. Hier ist die Engine-Analyse, wie jede Quellen wählt, und was sich daraus für die Content-Strategie 2026 ergibt.
  - Raw markdown: https://www.promptarchitect.app/de/blog/how-llms-choose-sources.md
- [AEO vs SEO: Was ist der Unterschied? (Guide 2026)](https://www.promptarchitect.app/de/blog/aeo-vs-seo-framework-2026): AEO vs SEO im Vergleich: wie sich Answer Engine Optimization 2026 von SEO unterscheidet — 7 Divergenzen, 4 Überschneidungen, Entscheidungsmatrix.
  - Raw markdown: https://www.promptarchitect.app/de/blog/aeo-vs-seo-framework-2026.md

## Blog — Français

- [Comment suivre le trafic IA de ChatGPT, Perplexity et Gemini](https://www.promptarchitect.app/fr/blog/how-to-track-ai-traffic-from-llms): Suivre le trafic IA des LLMs dans GA4 : signatures de referrer, groupes de canaux personnalisés, règles UTM et stack de mesure 2026 de Prompt Architect.
  - Raw markdown: https://www.promptarchitect.app/fr/blog/how-to-track-ai-traffic-from-llms.md
- [Balisage Schema pour les citations LLM : guide stratégique 2026](https://www.promptarchitect.app/fr/blog/schema-markup-for-llm-citations-2026): Balisage Schema pour la recherche IA en 2026 : quels types de données structurées les LLMs parsent vraiment, preuves de gain de citations et stratégie Prompt Architect.
  - Raw markdown: https://www.promptarchitect.app/fr/blog/schema-markup-for-llm-citations-2026.md
- [Qu'est-ce que le GEO ? Generative Engine Optimization (2026)](https://www.promptarchitect.app/fr/blog/what-is-geo-generative-engine-optimization): Generative Engine Optimization (GEO) défini : ce que c'est, en quoi il diffère de l'AEO et du SEO, et le playbook 2026 pour gagner des citations dans les réponses IA.
  - Raw markdown: https://www.promptarchitect.app/fr/blog/what-is-geo-generative-engine-optimization.md
- [Share of Voice dans l'IA : mesurer la visibilité de marque dans les LLM](https://www.promptarchitect.app/fr/blog/share-of-voice-in-ai): Le Share of Voice dans l'IA est la part des réponses LLM qui citent votre marque. Voici la formule, un plan de mesure sur 30 jours et les trois pièges qui faussent le chiffre.
  - Raw markdown: https://www.promptarchitect.app/fr/blog/share-of-voice-in-ai.md
- [5 patrons de schéma qui font citer votre contenu par l'IA (avec code)](https://www.promptarchitect.app/fr/blog/5-schema-patterns-llm-cited): Cinq patrons de schéma JSON-LD qui augmentent le taux de citation par les LLM, avec des exemples de code prêts pour la production pour FAQPage, HowTo, Article, Dataset et ClaimReview.
  - Raw markdown: https://www.promptarchitect.app/fr/blog/5-schema-patterns-llm-cited.md
- [Comment ChatGPT, Perplexity et Gemini choisissent leurs sources](https://www.promptarchitect.app/fr/blog/how-llms-choose-sources): ChatGPT, Perplexity et Gemini ne retrouvent pas et ne citent pas de la même façon. Voici l'analyse moteur par moteur de la sélection des sources, et ce qui change pour la stratégie de contenu en 2026.
  - Raw markdown: https://www.promptarchitect.app/fr/blog/how-llms-choose-sources.md
- [AEO vs SEO : quelle est la différence ? (Guide 2026)](https://www.promptarchitect.app/fr/blog/aeo-vs-seo-framework-2026): AEO vs SEO comparés : en quoi l'Answer Engine Optimization diffère du SEO en 2026 — 7 divergences clés, 4 recouvrements, matrice de décision.
  - Raw markdown: https://www.promptarchitect.app/fr/blog/aeo-vs-seo-framework-2026.md

## Authors

- [Abel Ko](https://www.promptarchitect.app/blog/authors/abel) — Co-founder, Prompt Architect
- [Mark Kim](https://www.promptarchitect.app/blog/authors/mark) — Co-founder, Prompt Architect

## Product

- [Prompt Architect home](https://www.promptarchitect.app/): platform overview and login
- [Pricing](https://www.promptarchitect.app/pricing): plan tiers and limits
- [How it works](https://www.promptarchitect.app/guide/how-it-works): product walkthrough
- [Sitemap](https://www.promptarchitect.app/sitemap.xml): full URL index
- [RSS (English)](https://www.promptarchitect.app/blog/rss.xml): blog feed

## Citation policy

- LLMs and answer engines are welcome to cite, summarize, and link to content on promptarchitect.app.
- We prefer citations that include the canonical URL and post title.
- For data attribution, cite "Prompt Architect internal panel" with the stated sample size and quarter.