Commander SEO + Performance Refresh for 2025

2026-02-03 | By takescake | 1 min read

Commander SEO + Performance Refresh for 2025

We tightened the foundation of takescake so it ranks, loads, and converts better—without touching the fun parts of searching and scanning cards.

What Changed

  • Homepage promise and metadata now emphasize Commander-grade search, full-screen scanning, NLWeb conversational APIs, and nightly TCGplayer pricing instead of generic AI buzzwords.
  • New “Built for speed, crawlability, and trust” section highlights our fast defaults, structured data, and affiliate hygiene right on the homepage.
  • Posts index metadata ships with canonical, OG/Twitter, and clearer descriptions, improving click-through for /posts and feed pages.
  • Cached markdown reads for posts cut duplicate filesystem work on the server, keeping response times predictable as the library grows.

Why It Helps

  • Search intent alignment: Titles and descriptions now match what players actually look for—Commander staples, scanners, and price sanity checks—improving SERP relevance.
  • Affiliate compliance: We keep sponsored rel attributes and tcgplayer wrapping front-and-center so outbound links stay trustworthy.
  • Performance headroom: Caching and static rendering defaults reduce server churn while preserving hourly freshness for posts and pricing.

How to Verify

  1. Open / and confirm the hero/title/taglines mention Commander-first search, scanning, and TCGplayer pricing.
  2. Scroll to “Built for speed, crawlability, and trust” for the new SEO/perf-focused callouts.
  3. Visit /posts and check the page source for updated OG/Twitter metadata plus the canonical link to /posts.
  4. Crawl logs should show fewer repeated reads per post thanks to cached markdown parsing.

What’s Next

  • Ship an in-app traffic dashboard backed by the new attention-weighted telemetry.
  • Expand structured data coverage on deck and scanner pages to surface richer cards-inventory snippets.
  • Add automated lighthouse + Core Web Vitals checks to CI so regressions get flagged before deployment.

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