Pages tagged "ai-visibility"

8 pages tagged with ai-visibility. ← all tags

• AI Crawler Access Control — Bot Taxonomy, robots.txt vs WAF How to decide which AI bots to allow or block: the training / retrieval / user-fetch taxonomy, why a WAF enforces where robots.txt only requests, and the current (2026) user-agent strings for OpenAI, Anthropic, Google, Perplexity, and Meta crawlers.
• AI Visibility — Getting Found in AI-Generated Answers How to measure and grow your brand's visibility in AI search results from ChatGPT, Perplexity, Claude, Gemini, and Google AI Mode (75M daily users as of May 2026). The 2026 load-bearing finding: E-E-A-T behaves as a binary AI visibility filter — 96% of AI Overview citations come from sources with strong E-E-A-T signals.
• The AI Interface Layer — When Claude Becomes Your App's Front Door How AI assistants are becoming the primary interface between users and apps, and what this means for brand visibility and marketing strategy
• Retrieval vs Citation — Why Being Fetched by AI Isn't Being Cited AI assistants fetch dozens of pages per query but cite only about half. ChatGPT cited ~50% of retrieved URLs in Ahrefs' 2026 analysis; the other half feed the answer as uncredited background. What predicts which retrieved page gets the citation: title-to-prompt semantic match and readable URL slugs. The gap reframes GEO from 'get retrieved' to 'get cited.'
• What 1 Billion Data Points Say About AI Search — Ahrefs' 2026 Studies, Calibrated A calibrated synthesis of 14 large-scale Ahrefs studies (1B+ data points) on AI search optimization: the two-discovery-layer split, the accelerating CTR collapse, YouTube as the top visibility correlate, schema markup's measured null effect on AI citations, 'Best X' listicle dominance, and the retrieval-vs-citation gap. Single-vendor measurement — graded by evidence tier, with the one quasi-experimental result flagged.
• Experiment: AI Visibility Audit on E-commerce Sites Testing the AI Visibility Audit skill on Lithuanian e-commerce sites — pigu.lt and varle.lt. Findings remain valid baseline; status update added 2026-05-13 with cross-references to the agent-behavior framework.
• Awareness Levels — Schwartz's Framework for Understanding Your Audience Eugene Schwartz's Five Levels of Awareness and Market Sophistication stages — classic copywriting frameworks with modern AI applications
• AI Visibility Audit — Claude Skill for GEO Assessment A Claude skill that produces scored audits (0-100) measuring how visible your domain is to AI crawlers and generative search engines