InLinks review: pricing, features & alternatives

InLinks builds a knowledge graph of your site's entities, then injects internal links and entity schema markup via a JavaScript tag — no CMS surgery, no developer tickets. Topic clustering and content optimization round out a toolkit aimed at semantic SEO, and a free plan (20 pages) makes trying it costless.

For Google, this works as advertised: Googlebot renders JavaScript, sees the injected links and schema, and the SEO case studies are plausible.

Here's what matters for GEO: OpenAI's GPTBot, Anthropic's ClaudeBot, and PerplexityBot fetch raw HTML and do not execute JavaScript. Everything InLinks injects — every internal link, every line of schema — is invisible to them. A tool positioned in the AI-optimization conversation delivers its payload in the one format AI crawlers structurally cannot read. If AI visibility is your goal, InLinks' mechanism doesn't reach it; server-side schema does.

The delivery model has second-order risks too: cancel, and everything vanishes with the script — years of 'optimization' gone in a day. The CDN serving the snippet is a single point of failure. Costs scale with page count (about $468/mo near 1,500 pages), entity detection thins out for topics without Wikipedia presence, and Trustpilot carries an unresolved onboarding/refund complaint.

Google-first teams on rigid CMSes who want entity schema and internal linking without engineering time — as a classic semantic-SEO tool, it earns its fee.

Anyone buying it to improve AI-assistant visibility is buying the wrong mechanism: put schema server-side and spend the budget on content AI crawlers can actually read.

Every row below is a capability we already listed for InLinks. It is the published feature set for this page, not a guess at an unpublished demo. Compare it with the Promptwatch checklist that follows.

On this listing, InLinks is a Content optimization for Google-focused teams that want automated entity schema and internal linking — with clear eyes about what AI crawlers can actually see.. What we sourced here: Automated schema markup; Entity-based internal linking; Topic completeness analysis; Knowledge graph of your content.

After you generate pages in InLinks, you still need a visibility platform to see whether models cite those pages, which URLs and third-party sources they cite, whether AI crawlers can fetch them, and whether referred visits convert. Promptwatch is built for that loop. Gaps vs this listing: AI crawler logs (Agent Analytics), crawl-to-citation path, bot errors; Visitor analytics: AI-referred sessions and conversions; Content Agents that plan, write, and publish GEO pages to a CMS with a review inbox; Citation analytics at page, domain, Reddit, YouTube, and offsite level; Prompt volumes, difficulty, query fan-outs, personas, city-level geo; Prompt and citation trends (what changed between checks); ChatGPT Shopping tracking and Ads Radar; Agent Chat, Unified Actions, MCP server / REST API on paid plans.

InLinks is on this directory because buyers compare writers with AI-search software. Unless a bullet on this page documents prompt replay, it is a content or schema product. Promptwatch is the visibility stack: prompts, citations, crawler logs, AI-referred visits, and Content Agents that publish to Webflow or Framer.

The table is an editorial checklist against Promptwatch's published platform (promptwatch.com/llms.txt, 2026-08-23). It is not a hidden feature list for this vendor. 'Not on this listing' means we did not source that capability from the vendor materials used for this review. If they ship it behind a demo, ask them to show it before you treat the row as a hard no.