InLinks, founded in 2019 by InLinks Optimization LTD, approaches content optimization through entities rather than keyword term-matching: a knowledge graph analyzes a site's content to identify the specific people, places, and concepts it discusses, then communicates those entities to search engines in a way Google's own semantic systems understand directly.
That entity-first approach powers two more distinctive features than most content-optimization competitors offer: automated internal-linking suggestions based on entity relationships rather than manual guesswork, and automated schema markup implementation, structured data most competitors leave for a separate technical SEO step entirely.
A free plan covers limited use, and paid plans start around $49 a month for 100 pages, scaling to agency and enterprise tiers for larger sites. For a site that wants internal linking and schema markup handled through genuine entity analysis rather than manual keyword matching, InLinks' knowledge-graph approach addresses that technical layer more directly than a content-scoring tool alone.
