Content Sentiment & Quality
Analyze how AI models "feel" about your content. Optimize for objectivity, sentiment, and readability.
How this Sentiment Analyzer Works
This tool uses Natural Language Processing (NLP) libraries to scan your text just like an AI moderator would. It decomposes your content into emotional vectors and complexity scores.
- Sentiment Detection: We identify if your tone is Positive, Negative, or Neutral using VADER-like heuristics.
- Subjectivity Analysis: We measure the ratio of opinions vs facts. AI prefers objective facts.
- Readability Grading: We use the Flesch-Kincaid scale to determine if your text is "PhD level" (hard) or "8th Grade" (accessible).
Why it Matters for GEO
AI Safety Filters
Generative AI models have strict safety filters. If your content is too "Toxic" or "Aggressively Negative", it is often filtered out of the training set or suppressed in answers.
Factuality Bias
LLMs are designed to be helpful assistants. They prioritize content that sounds "Objectively True" over content that sounds like a rant. Lower subjectivity = Higher Trust.
Davide Agostini
Android Mobile Engineer and Founder of ViaMetric. Davide specializes in technical SEO and the emerging field of Generative Engine Optimization (GEO), helping founders navigate the shift from links to AI citations.
Frequently Asked Questions
Not necessarily. For news or serious topics, a 'Neutral' sentiment is often best because it signals objectivity. However, for marketing or reviews, 'Positive' is preferred.
Often, no. AI struggles with nuance. If you use sarcasm, the AI might take it literally, which can lead to disastrous misinterpretations in search answers.
For the web, Grade 8 is the gold standard. It roughly equates to the reading level of a 13-14 year old, which covers the vast majority of the population and is easy for AI to digest.