Discover Metric – Content Checker & Optimizer for Google Discover vs Simple Voting System Formally Fc Feedback

Discover Metric is a WordPress plugin built for Google Discover optimization. It analyzes your articles against key ranking criteria used by Google Discover and gives you an actionable score with one click — right inside your editor. Google Discover drives millions of visits to news sites, blogs, and content publishers every day. But most content fails to appear because it doesn’t meet Google’s quality signals. Discover Metric tells you exactly what to fix before you hit publish. What Does It Do? Instant Article Analysis — Click “Check Article” in the editor sidebar to get a Discover readiness score (0–100) with a detailed criteria breakdown. Works on Drafts Too — Analyze unpublished drafts before publishing. The plugin sends article content directly for analysis, so you can optimize before going live. 7 Key Criteria — Checks title length, meta description quality, OG image dimensions, lead paragraph clarity, heading structure, word count, and AEO (Answer Engine Optimization) score. Works Everywhere — Compatible with Gutenberg (Block Editor), Classic Editor, Elementor, and Visual Composer / WPBakery. AI-Powered Fixes (PRO) — One-click AI suggestions to rewrite titles, meta descriptions, leads, headings, and improve AEO with Answer Capsule, FAQ Schema, and structured data. Apply Fixes Directly — AI suggestions can be applied directly to your editor with one click, or copied to clipboard. Independent Meta Description Field — Built-in meta description editor with live character counter. Works standalone or syncs with Yoast SEO, Rank Math, or All in One SEO. Structured Data JSON-LD — Automatic Article/NewsArticle schema generation, or save custom JSON-LD from AI suggestions. FAQ Schema — Save AI-generated FAQ Page JSON-LD to your posts for rich results in search. Discover Probability — Estimated likelihood of your article appearing in Google Discover, with confidence level. E-E-A-T Analysis — Experience, Expertise, Authoritativeness, and Trustworthiness badge assessment. AEO Score — Answer Engine Optimization scoring with sub-checks for Answer Capsule, Structured Data, FAQ Schema, and Meta Description Direct Answer. Auto-Check on Publish — Optionally analyze every article automatically when published or updated. Score History — Track how your articles improve over time with stored analysis results. Credit-Based Usage — Free plan includes monthly credits for article checks. Upgrade for more checks and AI fix capabilities. Who Is It For? News publishers who want more traffic from Google Discover Content marketers optimizing articles for maximum reach SEO professionals managing content quality at scale Bloggers who want to understand why their posts don’t appear in Discover Editorial teams that need a pre-publish quality checklist Free vs PRO Free users can: ✓ Check articles for Google Discover readiness ✓ View detailed score and criteria breakdown ✓ Get monthly credits for analysis ✓ Track score history per article ✓ Analyze drafts before publishing ✓ Use the independent meta description field PRO and Enterprise users can also: ✓ Use AI-powered fixes for titles, descriptions, leads, headings, and AEO ✓ Save AI-generated structured data and FAQ schema to posts ✓ Generate optimized images with AI ✓ Access Headline A/B Testing ✓ Write full articles with AI assistance ✓ Get competitor title analysis ✓ Access all advanced AI Journalist features How It Works Install the plugin and enter your API key from discovermetric.com Open any post or page in the editor Click “Check Article” in the sidebar panel Review your score and fix any failing criteria Re-check to confirm improvements SEO Plugin Compatibility Discover Metric works alongside popular SEO plugins without conflicts: Yoast SEO — Avoids duplicate meta descriptions and Article structured data. FAQ schema and supplementary features remain available. Rank Math — Avoids duplicate meta descriptions and Article structured data. FAQ schema and supplementary features remain available. All in One SEO — Avoids duplicate meta descriptions and Article structured data. FAQ schema and supplementary features remain available. When no SEO plugin is installed, Discover Metric outputs its own meta description tag and Article JSON-LD structured data on the frontend. Integrations Gutenberg Block Editor — Native sidebar panel with full functionality Classic Editor — Meta box in the sidebar Elementor — Works via the WordPress meta box system Visual Composer / WPBakery — Works via the WordPress meta box system Yoast SEO — Reads and syncs meta descriptions; avoids duplicate structured data Rank Math — Reads and syncs meta descriptions; avoids duplicate structured data All in One SEO — Reads and syncs meta descriptions; avoids duplicate structured data Any page builder that supports WordPress meta boxes External Service This plugin connects to the Discover Metric API at https://discovermetric.com/api/v1 to perform content analysis and generate AI fix suggestions. An API key is required. When you click “Check Article”: * For published articles: your article’s public URL is sent to the API for analysis. * For draft articles: the article’s HTML content is sent directly for analysis. * Analysis results are cached locally in post meta. When you click “Fix” (AI Fix): * The relevant article excerpt (title, meta description, lead paragraph, headings, or AEO status) and article context are sent to generate improvement suggestions. No data is sent to the API unless you explicitly click the “Check Article” or “Fix” buttons. No user credentials or private data are transmitted beyond article content. Service website: https://discovermetric.com Terms of Service: https://discovermetric.com/terms Privacy Policy: https://discovermetric.com/privacy

The SVSFc Feedback plugin implements a straightforward feedback system for WordPress websites. It allows visitors to express their opinion on articles by voting with a Yes or No action. The plugin tracks and displays the voting results as an average percentage. Key features include: Two buttons for voting: Yes and No. Each vote adds a “Positive” or “Negative” count to the voting results. Voting results are displayed as an average percentage. Ajax request for submitting votes without page reload. Once a visitor votes, they can see the voting results immediately. Prevents visitors from voting twice on the same article using their fingerprint (e.g., IP address). Automatically displays the voting feature at the end of single post articles. Shortcode support with [svsfc_feedback] for manual placement inside posts and pages. Admin feedback analytics dashboard with total votes and helpful score. CSV export for article feedback reporting. Custom frontend question text, yes/no labels, and thank-you text. Controls for automatic display and page support. Responsive design for compatibility across various devices and screen sizes. Usage: Frontend (Visitor Perspective): Visit any single post article on your website. Scroll to the end of the article to find the feedback feature. Click on the “Yes” or “No” button to submit your vote. After voting, you will see the current feedback results displayed as an average percentage. The buttons will remain inactive, but your vote will be displayed. Refreshing the page will retain the feedback results and your vote. Shortcode usage: Add [svsfc_feedback] to a post or page to place the voting form manually. When the shortcode is used inside a blog post, the plugin will not append a duplicate voting block automatically. Backend (Admin Perspective): When editing an article in the admin area, you will see the feedback results in a meta widget. The meta widget displays the positive and negative percentage of feedback. Open Feedback Analytics in the WordPress admin menu to review top feedback posts, total votes, positive/negative counts, helpful score, and export CSV reports. Hooks Two custom filter hooks also provided by this plugin svsfc_feedback_form Filter Hook: This filter hook allows developers to modify or extend the HTML output of the feedback form displayed on the frontend of the website. When the svsfc_feedback_form filter hook is applied, it passes the HTML code of the feedback form ($voting_html) as a parameter. Developers can then manipulate this HTML code to customize the appearance or functionality of the feedback form according to their specific requirements. Example usage: add_filter('svsfc_feedback_form', 'customize_feedback_form'); function customize_feedback_form($voting_html) { // Modify the HTML code of the feedback form here $voting_html .= ' Custom content added to the feedback form. '; return $voting_html; } In this example, the customize_feedback_form function adds custom content to the feedback form by appending it to the existing HTML code. svsfc_feedback_results Filter Hook: This filter hook allows developers to modify or extend the HTML output of the feedback results displayed on the admin side of the website. Similar to the svsfc_feedback_form hook, when the svsfc_feedback_results filter hook is applied, it passes the HTML code of the feedback results ($voting_html) as a parameter. Developers can then manipulate this HTML code to customize the appearance or presentation of the feedback results as needed. Example usage: add_filter('svsfc_feedback_results', 'customize_feedback_results'); function customize_feedback_results($voting_html) { // Modify the HTML code of the feedback results here $voting_html .= ' Custom content added to the feedback results. '; return $voting_html; } In this example, the customize_feedback_results function adds custom content to the feedback results by appending it to the existing HTML code. By utilizing these filter hooks, developers can easily tailor the feedback form and results to suit their specific design preferences or functionality requirements If you encounter any issues or have questions about the SVSFc Feedback plugin, please reach out to our support team at [email protected]