eeoom GEO – AI Search Optimization vs VecPost AI Search for Posts

eeoom GEO helps WordPress site owners prepare, optimize and monitor their websites for AI search, generative answer engines and entity-based discovery. The plugin combines GEO readiness checks, entity signal optimization, structured data improvements and visibility-oriented workflows. It is designed to support the full AI search optimization process: from basic technical readiness and machine-readable entity signals to visibility monitoring, competitor insights and content recommendations. eeoom GEO does not replace your SEO plugin. Instead, it works alongside supported SEO plugins and extends the website’s GEO foundation when compatible data and schema output are available. What the plugin does Helps improve a website’s GEO foundation for AI search and generative answer engines. Strengthens machine-readable entity signals for the organization behind a website. Enhances supported Organization schema with additional trust, location, expertise and relationship signals. Provides manual readiness checks for published public URLs. Stores the latest check status and score for checked posts and pages. Provides the foundation for broader AI visibility workflows, competitor insights and content recommendations. Detects supported SEO plugin integrations. Current features eeoom GEO overview inside WordPress admin. Manual URL checks for published posts and pages. Sends only the selected public URL when a check is manually started. Drafts, private posts and preview URLs are never sent. Supported SEO plugin detection. Optional Organization schema enhancements. Add sameAs profile URLs. Add hasMap URL. Add PostalAddress fields. Add areaServed values. Add knowsAbout topics. Add optional parentOrganization reference. Add optional subOrganization references. Cache notice for schema changes. Stores last check status and score per post/page. Supports asynchronous Source of Trust checks with polling. Plugin Admin role management for selected WordPress users. Capability-based access control for eeoom GEO features. External service notice This plugin connects to the Source of Trust API, provided by eeoom, to run manual GEO readiness, structured data and entity signal checks for published public URLs. The service is used only when an authorized user manually starts a page check in the WordPress admin. The plugin sends the selected published public URL and a WordPress HTTP user agent to the Source of Trust API. The API may process checks asynchronously. When a check is started, the plugin may receive a check job ID and then poll the Source of Trust API for the final result. The final result may include a status, score, issues and recommendations, which may be stored in WordPress post meta for the checked post or page. The plugin does not send draft content, private content, preview URLs, post body content, visitor data, passwords or personal user data. Service used: Source of Trust API: https://sourceoftrust.com/api/v1/json-ld-check Terms of Service: https://sourceoftrust.com/en/terms Privacy Policy: https://sourceoftrust.com/en/privacy Schema integration eeoom GEO can enhance existing Organization schema output generated by supported SEO plugins as one part of the broader GEO foundation. The initial integration supports Yoast SEO schema output. This plugin is not affiliated with, endorsed by, or sponsored by Yoast. The plugin does not replace your SEO plugin. The supported SEO plugin remains responsible for the base schema graph, including the Organization name, URL, logo and @id. eeoom GEO only adds selected additional fields when enabled. Supported Organization enhancements: sameAs hasMap address areaServed knowsAbout parentOrganization subOrganization Yoast SEO is supported but not bundled with this plugin. Cache notice Schema enhancements are rendered into the page HTML. If your site uses a page caching plugin, CDN cache or server-side cache, clear the cache after changing schema settings so the updated schema can be published site-wide.

VecPost AI Search for Posts replaces WordPress’s default SQL LIKE search with vector-based semantic search. Instead of matching exact words, it understands the meaning of a search query. Example: A user searching “heart workouts” will find your post titled “Best cardiovascular exercises” – even though no words overlap – because the meanings are similar. How It Works When you publish a post, the plugin sends its content to your chosen AI provider (OpenAI or Google Gemini) to generate a vector embedding – a list of numbers that represents the meaning of the text. These numbers are stored in your database. When a user searches, their query is also converted to numbers, and the plugin finds posts whose numbers are closest – meaning most semantically similar. Features Semantic search powered by OpenAI (text-embedding-3-small or text-embedding-3-large) or Google Gemini (gemini-embedding-001) Hybrid re-ranking: combines semantic similarity with keyword matching for best results Gutenberg block and shortcode [vecpost_semantic_search] for easy placement Bulk indexer with progress bar for existing posts WP-CLI support: wp vecpost-semantic-search index, wp vecpost-semantic-search status, wp vecpost-semantic-search search "query" Configurable scoring thresholds via Settings -> VecPost – AI Semantic Search for Posts Automatic re-indexing when you switch embedding models Results cached via WordPress object cache (Redis/Memcached compatible) Third-Party Services This plugin sends post content to external AI APIs to generate embeddings. By using this plugin, you agree to the terms of service and privacy policies of your chosen provider: OpenAI: https://openai.com/policies/privacy-policy | https://openai.com/policies/terms-of-use Google Gemini: https://policies.google.com/privacy | https://ai.google.dev/terms No data is sent without your API key being configured. Data is only transmitted when posts are published or during bulk indexing. Performance Note Semantic search requires loading all embeddings into PHP memory for comparison. This works well for sites with up to approximately 1,500 posts. For larger sites, a dedicated vector database (pgvector, Qdrant, or Pinecone) is recommended.