r/bigseo — public pain points

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Related angle: r/bigseo

  • Site owners and technical SEOs cannot get brand-new URLs crawled or indexed for weeks — even with clean canonicals, valid sitemaps, HTTP 200 responses, successful sitemap processing and manual indexing requests — while existing pages recrawl within minutes. The behavior is opaque and inconsistent, and there is no reliable diagnostic path to force a first crawl. On top of that, auditing indexing at scale (hundreds of URLs, often across domains the user does not own) forces a patchwork of site: queries, GSC URL Inspection, Screaming Frog and third-party checkers, with no dependable way to upload a CSV and return a clean URL | Indexed | Not Indexed | Check Date report. Indexing is one of the least controllable and most frustrating pillars of search visibility, it is explicitly part of Azuqe's scope, and no unified, scalable monitoring/status solution exists today.

    2 mentionsr/bigseo
  • Site owners and marketers watch 90–95% of their Google traffic vanish overnight after building content (often with AI assistance), or discover their domain has been silently flagged as 'spam' and stripped of authority — with zero explanation from Google and no appeal mechanism. They are forced to guess whether to fix the existing site or abandon it for a new domain, cannot identify which quality or algorithmic trigger caused the drop, and get no recovery timeline. The pain is severe: businesses and family income depend on this traffic, and owners describe exhaustion and desperation. Existing SEO tools report rankings and authority scores but cannot explain the cause, predict recovery, or offer recourse — a large, high-pain, still-unsolved gap in traffic stability.

    2 mentionsr/bigseo
  • When GA4 and Search Console show 20,000–30,000 organic visits while Semrush and Ahrefs report roughly one-tenth of that with a completely different keyword set (and zero #1 rankings that the owner personally verified), site owners cannot determine whether their agency is delivering, whether the traffic is bot-driven, or which number is safe to present. Every platform uses an opaque estimation model, no tool explains the variance, and no tool reconciles first-party data (GSC/GA4) with third-party crawl estimates into one defensible figure. For freelancers, agencies and content managers whose entire deliverable is a client-ready SEO report, this destroys credibility and burns hours of manual cross-checking — while the low on-site engagement (13s) leaves them unable to distinguish bad traffic from bad tracking. The problem is severe, recurring, and still unsolved; a checker that flags estimation-vs-first-party gaps and states confidence per metric would be immediately valuable.

    1 mentionsr/bigseo
  • Site owners hit with a 'Thin content with little or no added value' manual action are forced to guess: they delete SEO pages, rewrite articles they believe are high quality, and resubmit reconsideration requests blindly — in the source case six consecutive rejections with zero feedback from Google. No tool quantifies content thinness/duplication/value at page level, ranks which URLs are most likely to be flagged, shows what a reviewer would still consider 'no added value', or gives any pre-flight check that a reconsideration request is actually ready to pass. Existing SEO checkers report word counts and duplicate meta tags but cannot map to Google's quality thresholds or simulate a reviewer verdict. The cost is months of lost organic traffic, deleted revenue pages, and a completely opaque recovery path — a severe, high-willingness-to-pay gap that a 50+ check audit tool with on-page content validation is uniquely positioned to close.

    1 mentionsr/bigseo
  • Site owners inherit sites with 1.6M URLs where only 150–200 are real pages (8.86k indexed, 1.58M not indexed) — residue from old builds and a cleaned-up Japanese keyword/doorway hack. They cannot tell which junk URLs still exist, which are still being crawled, or why. Standard remedies fail in practice: 410s 'don't seem to make any difference,' GSC removals are rate-limited and temporary, and robots.txt blocking conflicts with noindex so pages linger. Existing SEO checkers report index counts but do not diagnose the *composition* of index bloat (which URL patterns, which are hack residue, which waste crawl budget) or generate a prioritized purge plan (410 vs noindex vs canonical vs robots) that they can execute and verify. The result is a permanently degraded crawl budget and stalled rankings on the pages that matter — with no tool that closes the loop from audit to verified de-indexing. Highly painful, high-intent, and unsolved by free or paid audit tools.

    1 mentionsr/bigseo
  • A business ranked top 1–3 for its state-level keywords, migrated hosting and domain from Weebly to another platform, and fell off the map entirely — no local pack presence, lost rankings, and the owner is 'at a loss,' manually poking around Google Search Console and the site backend with no idea what is wrong. This is the classic migration blind spot: an audit is run *before* the move, but nothing re-runs the full check *after* it and diffs the two states to isolate the regression (broken 301 chains, lost canonicals, dropped schema/local structured data, orphaned URLs, lost hreflang, new noindex tags, CWV regressions, NAP/GBP disconnection). Generic SEO checkers show current issues in a vacuum — they cannot say 'this specific check passed before your migration and fails now,' which is the only output that would actually fix the problem. Every week without a diagnosis is lost revenue and compounding authority loss, and non-technical site owners cannot self-diagnose it. Free and mid-tier tools have no before/after migration diffing, making this a severe, monetizable, unsolved gap in the SEO checker space.

    1 mentionsr/bigseo

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