Skip to main content
AIDiveForge AIDiveForge

FixAEO vs Novus

Which one should you try?

FixAEO

Freemium

Best for Marketing and SEO teams

Novus

Freemium

Best for Fast-moving product teams deploying code multiple times per day

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.

Novus

Novus

Novus scans your codebase, auto-instruments product analytics without requiring engineers to tag events by hand, and monitors user flows for regressions — flagging broken interactions before they reach production. The agentic layer goes further: it reviews pull requests for UX issues, proposes fixes, and can open its own PRs with remediation code, though a human signs off before anything merges. That approval gate is a deliberate design choice, not a limitation. Where the system strains is on the monitoring side: the scraped page content available does not confirm depth of support for complex branching flows or highly customized event schemas, so teams with mature, bespoke analytics stacks will need to validate fit before migrating.

AttributeFixAEONovus
PricingFreemiumFreemium
Price$25/month—
Pricing checkedJul 1, 2026Not checked yet
Free trial7 daysNot stated
Open sourceNoNo
Has APINoYes
Self-hosted optionNoNo
PlatformsWebWeb (SaaS); integrates with GitHub
Released—2026-03-25
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.
  • Automatic codebase instrumentation without manual event tagging, so engineers stop losing sprint time to analytics upkeep every time a feature ships.
  • Regression detection before production, which means broken user flows surface in review — not in a customer support ticket three days after release.
  • PR-level UX review with generated fix proposals, so code moving fast through AI-assisted development gets a behavioral sanity check that manual review at speed cannot reliably provide.
  • Unified monitoring of both human and agent-driven user flows, so product teams running AI features do not have to stitch together separate observability tools to see the full picture.
  • Human approval required before any proposed code change merges, so the agentic layer accelerates without removing accountability from the team shipping the product.
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.
  • No self-hosted deployment option is available, which means teams with data residency requirements or air-gapped environments cannot use Novus at all — those teams evaluate on-premises analytics platforms instead.
  • Open beta status means the pricing model is not fixed; teams building production dependencies on Novus are accepting the risk of a cost structure change mid-roadmap, and teams with tight budget predictability requirements are better served by a tool with announced pricing.
  • The automated instrumentation model assumes Novus can adequately represent your event taxonomy — teams with mature, deeply customized analytics schemas tied to external data warehouses or BI pipelines will hit a compatibility ceiling and either maintain a parallel manual instrumentation layer or migrate to a purpose-built pipeline tool.

Made up your mind?

FixAEO

Freemium

Best for Marketing and SEO teams

Novus

Freemium

Best for Fast-moving product teams deploying code multiple times per day

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