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FixAEO vs Judicex

Bottom line

FixAEO has a free plan plus paid upgrades, while Judicex is free. Judicex is open source and FixAEO is not. You can run Judicex on your own machine or server; FixAEO is hosted by the vendor.

Which one should you try?

FixAEO

Freemium

Best for Marketing and SEO teams

Judicex

Free

Best for Law firms prioritizing confidentiality and local control over cloud SaaS

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

FixAEO

FixAEO

FixAEO scans eight AI engines daily — ChatGPT, Claude, Copilot, Gemini, Perplexity, Grok, DeepSeek, and AI Overviews — and surfaces a visibility score representing how often your brand appears in AI-generated answers about your industry. The dashboard ranks you against named competitors by share of voice, maps which domains AI engines cite when answering relevant prompts, and returns a prioritized fix list sorted by impact and effort. That fix list is where the tool earns its keep: instead of a raw score with no action, you get 'add FAQPage schema to top pages — high impact, low effort.' The free tier runs one scan per day with no card required, which means a team can validate the concept before committing budget.

Judicex

Judicex

Judicex runs as a local Flask workspace where you ingest official sources and matter files into a SQLite knowledge base, then draft, chat, and run workflow checks against only what you fed it. The LLM answers are bound to that evidence store — the vendor describes this as an 'answer contract that fails closed instead of hallucinating.' You deploy it on your own infrastructure, which means client files never leave your network. The MCP server lets you connect external tools, and JSON workflow packs let you encode firm-specific matter analysis profiles. The ceiling appears when your team grows past a handful of users — multi-tenant auth and SSO are on the roadmap but not yet shipped.

AttributeFixAEOJudicex
PricingFreemiumFree
Price$25/month—
Pricing checkedJul 1, 2026Not checked yet
Free trial7 daysNot stated
Open sourceNoYes
Has APINoYes
Self-hosted optionNoYes
PlatformsWebPython (backend), Flask (web UI), JavaScript (frontend), CLI, MCP stdio server. Runs on macOS, Linux, Windows.
Pros
  • Covers eight AI engines in a single daily scan — ChatGPT, Claude, Copilot, Gemini, Perplexity, Grok, DeepSeek, and AI Overviews — so you are not checking each engine manually and missing the engines your buyers actually use.
  • Fix list sorted by impact and effort, which means engineers and content teams get a decision-ready queue instead of a raw score that requires a separate prioritization meeting.
  • Prompt-level tracking ranked by estimated search demand, so you can identify which buyer questions are driving AI citations toward competitors and address those specifically rather than optimizing in the dark.
  • Citation source breakdown by domain and content type (article, blog, how-to, listicle), which means you can identify the exact publications and formats AI engines favor and target your outreach or content production accordingly.
  • Free tier with no card required delivers a one-time scan in under three minutes, so a team can audit current AI visibility before committing any budget — skipping the sales-demo-to-trial gap that delays most tool evaluations.
  • Evidence-bound answer generation, so a citation in a draft traces back to a specific ingested source rather than a plausible-sounding hallucination that could end up in a filing.
  • Full self-hosted deployment with no cloud vendor data access, which means client confidentiality obligations and regulated-jurisdiction data residency requirements are met without negotiating a DPA with a SaaS provider.
  • Apache-2.0 open-source license, so you can audit the full codebase before trusting it with privileged matter files — something no closed legal AI tool offers.
  • Provider-agnostic LLM connectivity covering Ollama, OpenAI, Anthropic, and OpenAI-compatible endpoints, so swapping to a local model when a matter demands air-gapped operation is a configuration change, not a vendor conversation.
  • Firm-specific workflow packs encoded as JSON, which means matter analysis profiles for debt recovery, injunctions, or file review can be versioned, shared across the team, and reproduced without rebuilding logic from scratch each time.
Cons
  • No API is documented, so teams that want AI visibility data inside their existing dashboards, data warehouses, or automated reports have to pull it manually — at which point the 'daily tracking' advantage erodes if nobody remembers to export.
  • Competitive benchmarking depends on which brands FixAEO tracks in your category; if your direct competitors are niche or regional players not already in the system, the share-of-voice ranking reflects the wrong peer set, and teams working in specialized verticals have reported building manual comparison layers outside the tool.
  • A team that outgrows the scan cadence or needs to test prompt variants programmatically — for example, an agency running weekly AEO experiments across dozens of client domains — will hit the structural ceiling of a fixed daily scan with no batch or on-demand API trigger, at which point the path forward is a custom scraping or monitoring setup and FixAEO becomes a reference check rather than the source of truth.
  • Multi-user access control does not exist: the repository roadmap describes multi-tenant deployment, SSO, and audit logging as future work not yet released. A firm with more than one or two practitioners sharing the system has no user separation or access audit trail — teams with compliance requirements around matter access logs cannot use this in production until those features ship.
  • No managed hosting path exists today. Deploying Judicex requires comfort running Python services, managing SQLite storage, and keeping a self-hosted LLM endpoint or API key in a secure configuration. A solo practitioner without someone to own that infrastructure either hires for it or moves to a hosted legal AI SaaS — at which point the confidentiality advantage disappears.
  • The project has five commits and 17 stars at the time of curation, which means community-sourced bug fixes, integration examples, and operational guidance are essentially nonexistent. Teams that hit an edge case are filing the first issue, not searching a resolved one.

Made up your mind?

FixAEO

Freemium

Best for Marketing and SEO teams

Judicex

Free

Best for Law firms prioritizing confidentiality and local control over cloud SaaS

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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