eeoom GEO – AI Search Optimization vs FindAstra

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.

FindAstra is AI product search for WooCommerce. It helps your store understand what shoppers actually mean, not just the exact words they type. Someone searching for “comfortable shoes for hiking” will find your “Trail Running Sneakers” even when the title never mentions comfort or hiking. Ordinary keyword search only matches products that literally contain the words a shopper types. So a customer who describes things in their own way lands on a “no results” page and leaves. FindAstra closes that gap. It reads the intent behind each search, puts the most relevant products first, and offers helpful suggestions instead of dead ends. And the free version runs completely on its own. There are no API keys to paste, no account to create, and no monthly fees. The AI runs right inside the shopper’s browser, so nothing about your catalog or your customers is sent to an outside server, and you can index your entire catalog with no product limit. What your shoppers get Answers, not just matches. Searches are understood by meaning, so shoppers reach the right products even when their wording differs from yours. Live suggestions as they type. A search-as-you-type dropdown attaches to your existing search bar, with no theme editing. A results page that makes sense. Your normal WooCommerce results page is simply re-ordered by relevance, keeping your theme’s design exactly as it is. No more empty pages. When nothing is a strong match, shoppers see popular products instead of a dead end. What you get as a store owner Set up in minutes. Activate, click index once, and AI search is live. No keys, no account, no configuration headaches. Private by default. Your products and your customers’ searches stay on your own site. Fits your store. Works with classic and block themes, and includes a search block, a shortcode, and a sidebar widget. Developers also get filter hooks and a REST endpoint to build on. How it works, in plain terms When you click index, FindAstra reads each product and builds a small understanding of what it is. When a shopper searches, it compares their wording to that understanding and lists the closest products first. The first time it runs, the browser downloads a small AI model (about 33 MB) and reuses it from then on, so searches stay fast. FindAstra Pro (optional) A separate paid version is available at findastra.com for stores that want more. It adds optional server-side engines for very large catalogs (using your own OpenAI or Hugging Face key), multilingual search for WPML and Polylang, and built-in search analytics. The free version here is complete on its own, and nothing in it is locked or time limited. External services Which external service (if any) FindAstra contacts depends on the search engine you choose during setup. Each is described below, including what data is sent and when. Hugging Face model hub (huggingface.co) Used by the default Local engine. The first time the Local engine runs (when you index products in wp-admin, or when a shopper performs a search), the browser downloads a roughly 33 MB open-source AI model from the Hugging Face model hub and caches it locally for later visits. Only the model files are fetched. No store, product, shopper, or site data is ever sent. After the download, all search runs entirely in the browser. Hugging Face terms of service: https://huggingface.co/terms-of-service . Privacy policy: https://huggingface.co/privacy OpenAI API (api.openai.com) Used only if you select the OpenAI engine and enter your own API key. At index time, the text of each product (its title and the fields you choose to include) is sent to OpenAI to generate an embedding; at search time, the shopper’s query text is sent. Requests are authenticated with the API key you provide and are made only while the OpenAI engine is the active provider. OpenAI terms of use: https://openai.com/policies/terms-of-use . Privacy policy: https://openai.com/policies/privacy-policy Hugging Face Inference API (router.huggingface.co) Used only if you select the Hugging Face engine and enter your own access token. The same data as the OpenAI engine (product text at index time, query text at search time) is sent to the Hugging Face Inference API to generate embeddings, authenticated with the token you provide, and only while the Hugging Face engine is the active provider. Hugging Face terms of service: https://huggingface.co/terms-of-service . Privacy policy: https://huggingface.co/privacy