CommodityNode Marketing / SEO / CRO Audit

Date: 2026-04-13 Frameworks used:

Scope

Executive Summary

CommodityNode is strong on topical authority, freshness, structured commodity coverage, internal linking, and AI-crawler accessibility. The biggest remaining gaps are not technical breakage but conversion clarity and information architecture:

  1. Homepage tries to explain too much at once and needs a clearer primary value proposition.
  2. Pricing page is credible but too text-dense, with weak instant plan differentiation.
  3. Research Archive lacks on-page search and stronger discovery controls.
  4. 404 page recovers traffic but underuses the moment for intent routing and signup.
  5. AI-SEO fundamentals are good (robots + llms.txt + topical depth), but more extractable, answer-style copy and stronger structured summaries would improve citation likelihood.

What is already strong

P0 / P1 Findings

P1-1 Homepage: hero value proposition is still too abstract

Visible issue:

Why it matters:

Recommendation:

P1-2 Homepage: information density is too high

Visible issue:

Why it matters:

Recommendation:

P1-3 Pricing page: plan differentiation is not instant enough

Visible issue:

Why it matters:

Recommendation:

P1-4 Research Archive: no visible search on an archive-heavy page

Visible issue:

Why it matters:

Recommendation:

P1-5 404 page: low conversion / weak recovery routing

Visible issue:

Why it matters:

Recommendation:

P2 Findings

P2-1 Metadata quality still uneven on long tail pages

Automated recon showed:

Why it matters:

Recommendation:

P2-2 Archive cards need stronger click hierarchy

Visible issue:

Recommendation:

P2-3 Homepage AI-SEO opportunity: more extractable summary blocks

Visible issue:

Recommendation:

P2-4 Pricing page: trust signals could be surfaced higher

Visible issue:

Recommendation:

P2-5 Some section URLs look low-value / internal-plan-like

Automated crawl showed odd public URLs such as /TIMESFM_INTEGRATION_PLAN and similar utility-ish pages in sitemap output.

Recommendation:

AI-SEO Specific Notes

Current strengths

Biggest AI-SEO opportunities

  1. More answer-style intros on key pages
  2. More comparison blocks and FAQ-style extraction blocks on hubs
  3. Stronger schema consistency checks on article / collection / product-like pages
  4. More third-party citation strategy over time (Reddit, media mentions, industry references)

Analytics / Measurement Notes

Found:

Open question / likely gap:

Recommendation:

Highest-Leverage Next Actions

Batch A — Conversion / UX

  1. Rewrite homepage hero + tighten CTA hierarchy
  2. Add search to Research Archive
  3. Upgrade 404 page with search + recommendations + signup prompt
  4. Simplify pricing card comparison and CTA wording

Batch B — AI-SEO / On-page SEO

  1. Normalize remaining title/meta lengths by template
  2. Add more extractable answer blocks to homepage and key hubs
  3. Audit schema coverage with rendered-page detection, not just static fetch
  4. Review low-value public URLs for noindex/remove decisions

Batch C — Measurement

  1. Add GA4 events for pricing clicks, simulator clicks, report opens, newsletter success
  2. Map homepage -> archive -> hub -> pricing funnel
  1. Homepage hero / CTA rewrite
  2. Research Archive search + better discovery
  3. Pricing page simplification
  4. 404 recovery upgrade
  5. Analytics event instrumentation
  6. Schema and AI-SEO sweep

Notes

This audit intentionally focused on visible/sitewide marketing, SEO, AI-search, and CRO issues rather than purely technical bugs. The site is already strong enough to support growth; the biggest gains now come from reducing cognitive load and making high-intent paths easier to follow.