AI SEO

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• Releasing a new sentiment classification model.
  Our new sentiment model is free on Hugging Face. It scores every heading, list item and sentence from very positive to very negative, gets 84% of labels exactly right and 95% within one point, and is built into DEJAN App and a public demo.
• New Feature: Grounding Snippet Ablation
  The new Ablation tab in DEJAN's Content Optimizer measures how many rank places each sentence of an AI-cited source is worth.
• Finding High-Value Converting Queries That Mainstream Tools Miss
  How to uncover high-converting, commercial search queries that show zero volume in mainstream SEO tools while keeping your sites invisible to competitors.
• Semantic Image Optimizer
  An overview of an e-commerce image optimization method using Google's AI models and vector embeddings to iteratively generate and score product alt text.
• AI Models Encode Brand Data but Fail to Recall a Third of It
  Google Research found frontier AI models encode 95-98% of brand facts in parametric memory but fail to recall 26-34% of them. The bottleneck is retrieval, not storage.
• Gemini picks whichever web page it reads first 92% of the time. Only pages rewritten to its measured preferences ever beat that.
  Shown two web pages, Gemini picks the first one 92% of the time. Pages rewritten to 31 measured text preferences win 15% from the second slot. Ordinary pages: 0%.
• No, AI doesn't prefer Reddit. Search does.
  Analysis of citation mining data shows Reddit has a 99.39% rejection rate from OpenAI, zero citations from Anthropic, and heavy usage by Google.
• The Paradox of Average and AI Visibility
  A study by DEJAN AI examines how AI rankers prioritize prototypical content over brand authority, suggesting a dual strategy for SEO and human conversion.
• Content Optimization Engine Insights by DEJAN AI
  We spent 2.71 Billion tokens teaching a machine to reverse-engineer how AI search ranks pages. What it found overturns the usual SEO playbook: structure and intent beat every credential you've been told to add, and the engine that proved it reached #1 in 1,554 of 2,246 runs.
• Grounding Source ≠ Citation ≠ Mention
  Being a cited grounding source does not mean your brand was mentioned in the answer, and being mentioned does not mean you were cited. They are correlated but distinct events produced at different stages of the AI answer pipeline — and conflating them is the source of most AI-visibility measurement
• Selection Rate Optimization
  Selection Rate Optimization is the AI-search counterpart to click-through-rate optimization: improving how often AI systems choose your content as the source they ground and cite their answers on.