Analysen
Analysen zur KI-Sichtbarkeit
Kompakte Analysen zu Signalen, Quellenmustern und Content-Entscheidungen, die beeinflussen, wie häufig Marken von KI-Systemen zitiert und empfohlen werden.
Analyse · 6 Min. Lesezeit
Why does ChatGPT not recommend my business?
A visual guide to the most common reasons AI models skip a business, and what to fix across sources, content, reputation, technical signals, and user context.
Mehr erfahren →
Analyse · 5 Min. Lesezeit
Third-Party Sources in AI Search: Why 85% of Discovery Mentions Happen Off-Site
AI systems discover and validate brands through off-site sources more often than most teams expect. Here is what that means for AI visibility, why owned content alone is not enough, and how to close the external-source gap first.
Mehr erfahren →
Analyse · 5 Min. Lesezeit
Listicles, Comparisons, and Reviews: The Pages That Shape AI Recommendations
If third-party mentions cluster around listicles, comparisons, and reviews, those formats deserve their own acquisition strategy. Here is why these pages influence AI outputs and how to win more inclusion.
Mehr erfahren →
Analyse · 4 Min. Lesezeit
Top-Three Placement in Best Lists: Why Inclusion Alone Is Not Enough
When most discussed brands appear in the first three positions of a list, placement quality matters as much as presence. Here is why top-of-list positioning compounds AI visibility and how to improve it.
Mehr erfahren →
Analyse · 5 Min. Lesezeit
Brand Mentions Vary by AI Model: Why Single-Model Tracking Misses Reality
If many brand mentions are unique to a single AI model, one dashboard view cannot represent the whole market. Here is why cross-model variation matters and how to build a broader source footprint.
Mehr erfahren →
Analyse · 5 Min. Lesezeit
UGC and Community Platforms in AI Search: How Discussion Surfaces Influence Recommendations
User-generated content and community discussions shape a meaningful share of AI search results. Here is how Reddit, forums, comments, and niche communities affect brand visibility without turning into spam targets.
Mehr erfahren →
Analyse · 4 Min. Lesezeit
Content Length and AI Citations: Why Longer Pages Do Not Automatically Win
Longer content does not reliably improve citation position in AI outputs. Here is what matters more than word count when you want a page to be cited, reused, and recommended.
Mehr erfahren →
Analyse · 4 Min. Lesezeit
Freshness in Listicles and Comparison Pages: Why Updated Roundups Keep Winning Visibility
If most researched listicles were updated recently, freshness is part of the recommendation game. Here is why updated pages matter and how to respond when key comparison surfaces change.
Mehr erfahren →
Analyse · 5 Min. Lesezeit
Non-Paid Media and AI Citations: Why Earned Coverage Still Carries Weight
When most AI-cited links come from non-paid media, editorial validation still matters. Here is why earned media affects AI visibility and how to build a stronger editorial footprint without chasing vanity PR.
Mehr erfahren →
Analyse · 5 Min. Lesezeit
Citations, Quotes, and Statistics for AI Visibility: Why Evidence Makes Pages More Reusable
Pages with attributable evidence are easier for AI systems to trust and reuse. Here is how citations, quotes, and statistics improve citability, and how to add them without turning pages into clutter.
Mehr erfahren →
Analyse · 5 Min. Lesezeit
AI Overview Citations Outside Google Top 10: Why Classic Rankings Miss Citeable Assets
A page does not need to rank in Google’s top 10 to become useful inside AI answers. Here is why citeability differs from traditional ranking visibility and what kinds of assets often outperform expectations.
Mehr erfahren →