Analyze each of your blog posts based on over 40 optimization criteria for generative AI search engines. The plugin evaluates heading structure, keyword density, readability, presence of lists, internal and external links, meta description, Schema Markup, Open Graph, and much more. Each post receives a GEO Score from 0 to 100, divided into 8 categories: Structure, Semantics, Technical SEO, Readability, Context, Generative Search, Technical Formatting, and Authority. The diagnosis includes specific recommendations with estimated impact so you know exactly what to improve to be found and cited by ChatGPT, Claude, Gemini, and Perplexity.

Automatically generates Schema Markup in JSON-LD (BlogPosting) format for each published post. Schema Markup is a structured code that helps AI models and search engines understand the post’s content: title, author, publication date, update date, featured image, and description. With Schema Markup enabled, your content is twice as likely to be cited as a source in generative AI responses.

Generates Schema Markup in JSON-LD (Organization) format for the entire website. Includes company name, logo, official URL, and social media profiles (sameAs). This structured data helps AIs identify your website as a recognizable entity, strengthening brand identity in search results and AI-generated responses.

Generates Schema Markup in JSON-LD (Organization) format for the entire website. Includes company name, logo, official URL, and social media profiles (sameAs). This structured data helps AIs identify your website as a recognizable entity, strengthening brand identity in search results and AI-generated responses.

This generates three essential files for AI visibility. The llm-full.txt file contains the complete website content (posts, pages, and categories with summaries) so that AIs can read everything. The llms.txt file is a structured index with links and descriptions, following the proposed standard for language model discovery. The ai.txt file is a technical sheet of the website with identity, themes, structured data, and AI indexing preferences. Together, these files function as a “menu” that facilitates the reading and citation of your content by ChatGPT, Claude, Gemini, and Perplexity.

Adds explicit directives to the website’s robots.txt file, authorizing AI crawlers to access the llm-full.txt, llms.txt, and ai.txt files. Without these directives, some AI bots may not find or be allowed to read the generated files. The plugin detects whether the robots.txt file is physical or virtual and applies the settings automatically.

This allows you to control which AI bots are allowed to access your website via robots.txt. You can allow or block specific bots such as GPTBot (OpenAI), ClaudeBot (Anthropic), Google-Extended (Gemini), PerplexityBot, and others. This gives you control over who can use your content for training or to answer user questions.

Monitors 50 AI bots visiting your website in real time. Shows total visits, divided into 4 categories: AI Assistant (ChatGPT, Claude — highest GEO value), AI Search (Perplexity — high value), AI Crawler (collecting training data), and Search Crawler (traditional indexing). Each category receives a GEO value rating (1 to 3 stars). The tracker records data that Google Analytics and Search Console don’t capture, since AI bots don’t execute JavaScript.

Allows you to add a competitor’s URL to analyze their AI visibility. The plugin checks if the competitor has llm-full.txt, llms.txt, ai.txt, and robots.txt files with AI directives, Schema Markup, and emerging protocols such as agent.json (ACP) and UCP. This way you know where you are ahead and where you need to improve compared to the competition.

Complete dashboard with site overview: total posts, analyzed posts, average score, score distribution (Excellent, Good, Needs Improvement, Critical), graph showing score evolution over time, posts with the lowest and highest scores. Also includes the AI ​​Agent Visibility panel that verifies if your LLM files are accessible. All on one screen, without needing to navigate between pages.

The plugin is fully translated into 5 languages: English, Spanish, Brazilian Portuguese, German, and French. All screens, recommendations, error messages, and diagnostics appear in the language configured in WordPress. The translations include the more than 100 GEO analysis criteria and their descriptions.
In addition to the interface, the analysis engine recognizes the language of the post content and applies adapted evaluation rules. Passive voice detection, for example, uses grammatical patterns specific to each language, instead of applying the same English rules to everyone.

The readability criterion has also been adjusted to be fair to each language. Languages ​​such as German, Portuguese, and French naturally have longer words than English—and an evaluation that does not take this into account would penalize well-written texts simply because of the language structure. Therefore, the plugin uses universal metrics, such as the average length of sentences and words, which work in a balanced way in any language.