InLinks is an entity-based SEO platform that automates internal linking, generates schema markup, and optimizes content around semantic entities — helping SEO professionals build topic authority and improve AI-era search rankings from $49/month.
InLinks is an entity-based SEO platform that automates three of the most technically demanding SEO tasks: internal link building, schema markup generation, and content optimization around semantic entities. Built around Google's Knowledge Graph and NLP (natural language processing) technology, InLinks helps SEO professionals shift from keyword-centric optimization to entity-based strategies that align with how modern search engines understand and rank content. It is trusted by 23,000+ SEO professionals ranging from solo freelancers to large agencies.
InLinks' AI-powered NLP engine analyzes your pages, identifies relevant entities (people, places, concepts, organizations), and automatically creates contextually relevant internal links — then generates JSON-LD schema markup to reinforce entity relationships for search engines. Pricing starts at $49/month for freelancers; agency plans from $196/month. See inlinks.com for current pricing (subject to change).
InLinks requires no browser extension or CMS plugin — the platform works as a standalone SaaS with optional JavaScript snippet installation on your website for automated link deployment. After adding your domain, InLinks crawls your pages, identifies entity relationships, and generates an entity map. The onboarding process takes 20–30 minutes for most sites.
InLinks supports WordPress natively for auto-injection of internal links and schema, and provides an API for custom CMS integrations. A book-a-demo option is available for teams wanting guided onboarding with an InLinks SEO expert.
Automated Internal Linking: InLinks uses NLP to identify entity relationships between pages on your website and automatically creates contextually relevant internal links. Unlike keyword-based internal linking tools, InLinks links pages based on topical entity relationships — the same way Google understands content connections — resulting in more semantically meaningful link structures that reinforce topic authority signals.
JSON-LD Schema Markup Generation: InLinks automatically generates structured data schema for your pages based on the entities identified on each page — including Article, Person, Organization, FAQ, HowTo, and more. This reduces the technical burden of schema implementation and ensures markup accurately reflects your content's entity relationships.
Content Optimization & Entity Coverage: The InLinks content editor shows which entities should be present on a target page based on top-ranking competitor pages for your target keyword. Writers can use this guidance to ensure comprehensive entity coverage — a key factor in topical authority signals post-Helpful Content Update.
Keyword Research with Entity Context: InLinks' keyword research module surfaces keywords in the context of their entity relationships and topic clusters, helping SEOs build content strategies aligned with how Google's Knowledge Graph groups topics — rather than just targeting isolated keyword variations.
Step 1 — Connect Your Website: Add your domain and let InLinks crawl your site. Review the entity map to understand how InLinks has classified your pages' topics and identify the highest-priority internal linking opportunities.
Step 2 — Configure Internal Link Rules: Assign topics/entities to your key landing pages. InLinks will then automatically identify other pages on your site where these entities appear and create contextually appropriate internal links pointing to your target pages.
Step 3 — Review & Deploy Schema: Review the auto-generated JSON-LD schema for each page. Approve and deploy schema across your site in bulk using the InLinks JavaScript snippet — no manual coding required for each page.
Step 4 — Optimize Content: Use the content editor to review entity coverage gaps for your target pages. Add missing entities recommended by InLinks based on competitor analysis to improve topical comprehensiveness and relevance signals.
Prioritize internal linking for your highest-value money pages first — product pages, service pages, and primary landing pages benefit most from concentrated internal link equity. Set these as your primary entity targets and let InLinks distribute relevant links from throughout your content library.
Avoid deploying all InLinks schema automation at once on a large site — start with a subset of pages, review the output carefully, and ensure the generated markup accurately represents your content before scaling to the full site.
InLinks users consistently report significant ranking improvements after implementing entity-based internal linking. Case studies show sites growing from 32K to 61K ranking keywords in 3 months. On Reddit, SEO professionals praise InLinks' strategic entity approach and highlight how it differs from keyword-based internal linking tools. Some users note the tool requires a solid understanding of entity SEO to configure optimally — it rewards users who invest time in strategy.
Community discussions: r/SEO — InLinks Tool Opinions | r/SEO — Internal Linking discussion
Have you tried InLinks? Share your experience below!
InLinks fills a critical gap in modern SEO workflows: entity-based internal linking and schema automation at scale. As Google continues to reward topical authority and semantic relevance, InLinks' NLP-driven approach provides a technically sophisticated method to build the entity relationships that search engines increasingly use to evaluate content quality. For SEO professionals serious about future-proofing their strategies, InLinks is an essential addition to the modern SEO toolkit.
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