OsaniRank is an all-in-one SEO toolkit that helps you research keywords, analyze domains and competitors, inspect websites, and discover SEO opportunities. It combines web-based SEO tools with a Chrome Extension so you can access useful SEO insights without constantly switching between different tools.

What are OsaniRank credits?

OsaniRank credits are used for certain advanced, provider-powered SEO operations. When a feature requires credits, your available balance is shown before the operation. Credits are handled securely on the server, and failed provider requests should not charge you.

What can I do without an API token?

You can use OsaniRank's browser-native SEO features without connecting an API token, including on-page information, headings, links, image and alt-text analysis, schema inspection, and other browser-based tools. Provider-powered metrics such as advanced domain or backlink data require a valid OsaniRank API token.

What does the Chrome Extension do?

The OsaniRank Chrome Extension brings SEO tools directly into your browser. You can inspect pages, analyze on-page SEO elements, research keywords, and access additional provider-powered SEO metrics when your extension is connected to a valid OsaniRank API token.

Do I need a separate SEO provider account?

No. You don't need to create separate accounts with individual SEO data providers. OsaniRank handles its provider integrations on the platform side, while your extension connects through your OsaniRank account and API token.

Can I use OsaniRank without installing the extension?

Yes. You can use OsaniRank's web dashboard without installing the Chrome Extension. The extension is an additional way to access SEO tools and insights directly while browsing websites.

How does keyword research work?

Enter a seed keyword and OsaniRank can expand your research using keyword suggestions and related search queries. Keywords can then be analyzed by search intent and available SEO metrics to help you discover relevant topics and opportunities.

Can I cancel my Pro plan?

Yes. You can cancel your Pro plan from your account settings. Your current plan remains active until the end of the paid billing period, and you won't be charged for the next renewal.

What is Schema Markup and why does Google require it?

Schema markup is structured code vocabulary created by Google, Microsoft, and Yahoo (Schema.org) that provides explicit clues about the meaning of a webpage. It enables search engines to display rich results, including review stars, recipe cooking times, FAQ accordions, and product prices directly on search result pages.

Why does Google recommend JSON-LD over Microdata or RDFa?

Google officially recommends JSON-LD (JavaScript Object Notation for Linked Data) because it resides cleanly inside a single tag in the head or body of the document without altering the user-facing HTML. This makes it easier to inject, maintain, and debug compared to inline Microdata attributes.

Can schema markup guarantee that Google will show rich results for my site?

No automated tool can guarantee rich snippets. Validating your schema ensures technical eligibility, but Google's ranking algorithms evaluate page quality, domain authority, search intent, and relevance before deciding whether to display rich snippets.

Where should I place the JSON-LD script on my webpage?

Google supports JSON-LD in both the and the sections of the HTML document. Placing it in the is recommended so crawlers encounter and parse structured data as early as possible.

What happens if my schema markup has errors?

If your JSON-LD contains syntax errors (like missing commas or unclosed braces) or lacks required properties, Google Search Console will flag structured data errors, and the page will be disqualified from receiving rich snippet features until resolved.

Can I have multiple Schema.org types on the same webpage?

Yes. You can declare multiple schemas by enclosing them in an array inside a single tag (e.g. [@graph]: [...]) or by using nested sub-entities (e.g. an Article schema that nests an Organization publisher and a Person author).

What is the difference between Schema warnings and Schema errors?

Errors represent missing mandatory fields or invalid syntax that will disqualify your page from Google rich results. Warnings represent recommended optional fields (like a missing image or dateModified) that won't prevent rich snippets but would improve presentation and eligibility for secondary features like Google Discover.

Schema.org Vocabulary · Google Rich Results Ready

Schema Markup Validator

Validate JSON-LD structured data against Schema.org standards. Check syntax, debug missing required properties, and preview Google Rich Results eligibility.

Presets:

JSON-LD or Script Tag Input

Validation Diagnostics

VALID SCHEMA

Schema @type:BlogPosting

Context:https://schema.org

Top-Level Properties:9

Perfect Validation! Your structured data adheres to Schema.org requirements and qualifies for Google rich result enhancements.

Tip: Always test changes with this validator before deploying to your production CMS or theme to avoid Google Search Console rich result warnings.

Instant Browser SEO Audit

Inspect Schema & Meta Tags with 1 Click in Chrome

The OsaniRank Chrome Extension extracts JSON-LD schemas, OpenGraph tags, and Moz Domain Authority on every webpage you browse.

Install Free Extension

What Is Schema Markup & Why Does Structured Data Matter?

Schema markup is code (structured data) that you put on your website to help search engines understand the context of your content. While search engine crawlers are skilled at reading human text, structured data provides an unambiguous machine-readable layer that declares whether a number is a price, a rating, or an ISBN.

When Google understands your content through schema, it can display Rich Results — visual enhancements such as star ratings, pricing, FAQ accordions, author credentials, and sitelinks search boxes. Studies show that rich results can lift search click-through rates (CTR) by 20% to 35% compared to standard blue link listings.

Higher Search CTR

Eye-catching rich snippets (star ratings, thumbnail carousels, and FAQs) take up more vertical SERP screen space, capturing user attention over plain listings.

Knowledge Graph Entity

Organization and Person schemas help Google connect your brand entity to official social accounts, author profiles, and Wikipedia/Wikidata entries.

Voice & AI Search Readiness

Large language models and voice assistants (Google Assistant, Perplexity, ChatGPT) parse structured data directly to synthesize direct answers.

JSON-LD vs Microdata vs RDFa: Which Is Best?

Format	Implementation	Google Preference	Maintenance Complexity
JSON-LD	<script type="application/ld+json">	Strongly Recommended	Low — isolated in script tags, never breaks page CSS layout.
Microdata	itemscope itemtype="..."	Supported (Legacy)	High — tightly coupled with HTML markup; theme edits easily break schema.
RDFa	vocab="..." typeof="..."	Supported (Rare)	High — complex HTML attribute syntax rarely adopted by modern CMSs.

Google\'s Quality Guidelines: Avoiding Schema Penalties

Never Mark Up Invisible Content

Content marked up in JSON-LD must be visible to human visitors on that page. Adding hidden FAQs, fake reviews, or pricing not shown to users triggers Google structured data manual actions.

Specific Over Generic Types

Use the most specific type available from Schema.org. For instance, prefer TechArticle or NewsArticle over generic CreativeWork.

Related SEO Tools

Crawl Control

Frequently Asked Questions

Start dominating search rankings today.

Join over 50,000+ SEO professionals, content creators, and agencies using OsaniRank to accelerate their organic growth.

Add to Chrome — Free