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IndexGraph

Freemium

Summary

Your site ranks fine in Google but vanishes from ChatGPT and Perplexity answers — and traditional SEO tools give you zero signal on why.

IndexGraph runs a one-shot audit that scores your site across seven dimensions AI answer engines actually care about: how parseable your content is, whether your brand entity maps cleanly to knowledge graphs, whether your robots.txt is blocking AI crawlers, and how likely an LLM is to cite any specific page. The vendor describes a four-phase pipeline — JavaScript-rendered crawl, semantic parsing, technical profiling, and comparative scoring — that produces prioritized fixes in seconds. The free tier delivers a basic audit; full reports are a paid-only feature. There is no API, no ongoing monitoring loop, and no self-hosted option, so teams needing continuous tracking or data integration will hit a wall fast.

Bottom line: IndexGraph earns its place as a first-pass GEO audit for SEO teams waking up to AI search visibility — but the moment you need scheduled re-audits, bulk crawling, or programmatic access to the scores, the tool has nothing left to offer.

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Best For: SEO professionals optimizing for AI Overviews, Content teams improving factual density and structure, Marketers tracking brand entity presence in LLMs
  • Seven-dimension GEO scoring across signals AI answer engines actually use — not keyword density — so you know exactly which layer is suppressing your citation rate instead of guessing.
  • Entity Knowledge Graph mapping against Google Knowledge Graph, Wikidata, and SameAs profiles, which means brand ambiguity that silently kills LLM attribution gets surfaced as a scored gap with an actionable fix.
  • JavaScript-rendered crawl captures the fully rendered DOM — the same view an AI crawler sees — so you are auditing what actually gets indexed, not a static HTML snapshot that hides client-side content.
  • Prioritized action plan output means you walk away with a ranked fix list, not a raw data export that requires an analyst to interpret before the sprint starts.
  • Free basic audit available without a sales call, so a team can validate whether their site has AI-visibility gaps before committing to a paid engagement.
  • No API and no batch mode: auditing more than one URL requires manual submissions one at a time, which makes this unusable for agencies or in-house teams managing sites with hundreds of pages or multiple client domains — those teams shift to platforms that expose a scoring API.
  • No ongoing monitoring: the platform produces a point-in-time audit, not a continuous signal. If your robots.txt changes or a CMS deploy breaks schema markup next week, IndexGraph will not tell you — teams that need regression detection wire up a separate monitoring stack or abandon the tool entirely for one with scheduled crawling.
  • Full prioritized reports are a paid-only feature, so the free audit functions as a diagnostic teaser rather than an actionable deliverable — teams who expected a complete fix list from the free tier will face a gate before they can act on the findings.

About

Platforms
Web
API Available
No
Self-Hosted
No
Last Updated
2026-09-17T10:22:33.559Z

Best For

Who it's for

  • SEO professionals optimizing for AI Overviews
  • Content teams improving factual density and structure
  • Marketers tracking brand entity presence in LLMs

What it does well

  • Auditing site visibility in AI-generated answers
  • Identifying crawlability and access issues for AI engines
  • Generating prioritized fixes for entity knowledge and citation readiness
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Frequently Asked Questions

Is IndexGraph free?
IndexGraph has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
Is IndexGraph open source?
No — IndexGraph is a closed-source tool. Source code is not publicly available.
What platforms does IndexGraph support?
IndexGraph is available on: Web.
IndexGraph

IndexGraph is a one-shot audit platform built specifically for AI search visibility, not keyword rankings. You submit a URL, the platform executes a headless JavaScript crawl — capturing the fully rendered DOM the way an answer engine crawler would see it — runs semantic and technical analysis in parallel, and returns a scored report across seven dimensions: AI Readability, Content Semantics, Citation Readiness, AI Access, AI Crawlability Intelligence, E-E-A-T Signals, and Entity Knowledge Graph. The output is a prioritized list of fixes, not a dashboard you monitor over time.

The differentiating feature is the Entity Knowledge Graph dimension. Most SEO audits stop at on-page signals; IndexGraph maps your brand entity against Google Knowledge Graph, Wikidata, and SameAs profiles to surface whether AI engines can reliably identify and attribute your brand when assembling answers. If your entity is thin or ambiguous in those knowledge bases, citation readiness scores drop — and the audit tells you exactly that, which a standard technical SEO tool will not.

The tool fits SEO professionals and content teams doing a diagnostic before a structured GEO remediation sprint. It does not fit teams who need to audit dozens of URLs in bulk, schedule recurring checks, or pull scores into a reporting stack — there is no API, no self-hosted option, and no described batch mode. Teams with those requirements will move to a competitor or build a monitoring layer elsewhere. The free tier covers a basic audit; generating the full prioritized action plan is a paid-only feature.

The technical pipeline the vendor describes runs four phases concurrently: deep crawl initialization with robots.txt and sitemap parsing, NLP-driven semantic content parsing including TF-IDF density and entity relationship mapping, Core Web Vitals and security profiling, and comparative scoring that combines all signals into the AI Readiness Score. The platform aligns explicitly to ChatGPT, Perplexity, Google Gemini, and Claude as the target answer engines.

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