# Reports > Short published notes with a citable summary, facts and FAQs — written so answer engines can quote them. ## SEO - [Core Web Vitals & performance](https://munichmedia.com/reports/core-web-vitals-performance.md): LCP, INP and CLS with web.dev thresholds, ways to measure (field/lab) and Google's statement on their role in ranking. - [Internal linking & topic silos](https://munichmedia.com/reports/interne-verlinkung-themen-silos.md): Internal links and topic clusters: what Google documents (crawlable links, anchor text, context) and what is not verified for cluster sizes. - [On-page SEO & content structure](https://munichmedia.com/reports/onpage-seo-content-struktur.md): On-page SEO per Google documentation: title elements, headings, meta description, images with alt text and helpful content. - [SEO basics per Google documentation](https://munichmedia.com/reports/seo-basics-fuer-wissensportale.md): Crawlable links, sitemap, canonical, robots.txt and noindex, structured data and JavaScript rendering: the basics according to Google. - [Crawling and indexing: basics](https://munichmedia.com/reports/technisches-seo-grundlagen.md): robots.txt, noindex, sitemap, canonical and crawl budget per Google documentation: what each measure does and which prerequisites apply. ## AEO - [Revising an existing blog post: checklist](https://munichmedia.com/reports/aeo-blogbeitrag-anpassen.md): Checklist for revising a blog post: answer first, sources, author and date, markup, links, with Google references and a sign-off list. - [Brand retrieval & RAG: what can be influenced](https://munichmedia.com/reports/aeo-brand-retrieval-rag.md): How RAG systems retrieve documents (Lewis et al., 2020), which provider bots are documented and what a brand cannot control. - [JavaScript and crawlers: content in the first HTML](https://munichmedia.com/reports/aeo-crawler-javascript.md): Google renders JavaScript and recommends server-side pre-rendering; rendering by other providers' AI crawlers is not documented. - [Defensive measures against misinformation](https://munichmedia.com/reports/aeo-defensive-massnahmen.md): Approach to false statements about a brand in AI answers: document, check sources, correct, report. Working model, effect not verified. - [Semantic HTML: structure for readers and parsers](https://munichmedia.com/reports/aeo-dom-semantic-html.md): Semantic HTML elements and clear headings. What Google says about structure and rendering; an effect on RAG chunking is not verified. - [Entities and information gain: concept](https://munichmedia.com/reports/aeo-entity-information-gain.md): Name entities unambiguously and deliver new facts: a working model. No evidence for an effect on AI retrieval is available. - [Headless CMS: quality checks in the build](https://munichmedia.com/reports/aeo-headless-cms-pipeline.md): Automatic checks before publishing: required fields, meta lengths, valid JSON-LD, sources. As a technical recommendation, not an effect promise. - [Systems with and without web search](https://munichmedia.com/reports/aeo-multi-model-oekosystem.md): Language models answer from training data, RAG systems additionally from retrieved documents (Lewis et al. 2020). What that means for content. - [Positioning: consistent statements about a brand](https://munichmedia.com/reports/aeo-positioning-llm.md): Publish a positioning formula (category, difference, proof) uniformly. Editorial working model without verified effect on language models. - [How AI search picks sources: state of the evidence](https://munichmedia.com/reports/aeo-quellen-ai-overviews.md): The criteria by which Google and other systems pick sources are only partly documented. What is verified and what is not. - [Schema.org for AEO: what is verified](https://munichmedia.com/reports/aeo-schema-org-basis.md): Schema.org and JSON-LD per Google: none mandatory for AI Overviews, Article without required properties, status of FAQPage, HowTo and Speakable. - [Third-party platforms and sentiment: what is verified](https://munichmedia.com/reports/aeo-sentiment-drittplattformen.md): Reddit, YouTube, forums and PR as sources for AI answers: only the Reddit–Google deal is reported; the effect on brands is not verified. - [AEO tracking: metrics, tools and limits](https://munichmedia.com/reports/aeo-tracking-kpis.md): What can be measured: Google Performance report, bot logs with documented user agents, prompt samples (share of model) and tools such as HubSpot AEO. - [Vector index for your own content: basics](https://munichmedia.com/reports/aeo-vektor-entity-graph.md): Splitting own content into passages, adding metadata and making it searchable in a vector index: approach per Lewis et al. (2020). - [SEO vs. AEO: difference and context](https://munichmedia.com/reports/aeo-vs-seo-unterschied.md): SEO and AEO compared: goals, success measures and what Google and Gartner document, without unverified forecasts. - [Zero-click: planning content despite fewer clicks](https://munichmedia.com/reports/aeo-zero-click-strategie.md): Gartner forecast less traditional search volume in 2024. What follows for content planning is a recommendation, not evidence. - [Checking AI answers and their sources](https://munichmedia.com/reports/analyse-von-ai-antworten-und-deren-quellen.md): How to check what an AI assistant says about your industry and which sources it names. With OpenAI's statements on Temporary Chat. - [Direct answers for answer engines](https://munichmedia.com/reports/direktantworten-answer-engines.md): Direct answer, FAQ block, tables and lists: structures that help readers. Editorial rules; Google requires no special structure. - [FAQ structure: value and status of FAQ markup](https://munichmedia.com/reports/faq-struktur-fuer-aeo.md): Build FAQ blocks that help readers. Status of FAQPage markup: Google restricted FAQ rich results and later discontinued them. - [Google AI Overviews: what Google documents](https://munichmedia.com/reports/google-ai-overviews.md): AI Overviews and AI Mode: prerequisites, control via nosnippet and reporting in the Search Console Performance report. - [HubSpot AEO: the tool at a glance](https://munichmedia.com/reports/hubspot-aeo-optimierung-von-ai-antworten.md): HubSpot AEO per the vendor page (beta): tracks visibility in ChatGPT, Gemini and Perplexity; 25 prompts free, then USD 50 per month. - [Visibility in Perplexity, ChatGPT and Claude](https://munichmedia.com/reports/perplexity-chatgpt-sichtbarkeit.md): Crawlers from OpenAI, Perplexity and Anthropic per their documentation: purpose, robots.txt and what blocking does. - [What is AEO? Answer engine optimization explained](https://munichmedia.com/reports/was-ist-aeo.md): AEO (answer engine optimization) is an industry term without an official definition. Google requires no special optimization for it. ## GEO - [Evidence and credibility: making sources visible](https://munichmedia.com/reports/evidenz-und-glaubwuerdigkeit.md): Making sources, author and quotes visible: Google's Who, How and Why questions. E-E-A-T is not a ranking factor per Google; effect on AI citations not verified. - [What is GEO? Generative engine optimization](https://munichmedia.com/reports/was-ist-geo.md): GEO (generative engine optimization) per Aggarwal et al.: a framework to raise content visibility in generative search answers.