Know your site's AI Spam Score before Google finds it
Google's June 2026 spam update demoted sites built on scaled AI content — globally, in every language. PureRank crawls your site, runs 40+ forensic signals and tells you exactly how machine-made your content looks, and how to fix it.
Free · No signup · Content-first sampling: editorial pages get ~65% of the crawl budget · ~1–2 minutes
Initializing…
Seven dimensions. One honest score.
The same families of signals search engines use to separate expertise from generated filler.
AI Language Markers
250+ curated stock phrases, giveaway artifacts ("as an AI language model…") and LLM-favored vocabulary, in English and Russian, measured per 1,000 words.
Stylometric Fingerprint
Sentence burstiness, rhythm uniformity, hapax legomena and type-token ratios — statistical tells that survive light paraphrasing.
Formatting Patterns
Bold-lead bullet walls, em-dash density, triadic constructions, colon-headings and canned "Conclusion" outros typical of raw model output.
Originality & Templating
Shingle-based cross-page similarity catches doorway variants and mass-templated pages before Google's deduplication does.
Publishing Velocity
Sitemap forensics: pages-per-day bursts and index bloat — the exact footprint of "scaled content abuse" named in Google's spam policy.
Trust & E-E-A-T Surface
Authors, dates, contactability, legal pages, citations and schema.org — the context that decides whether AI-assisted content survives.
AI-Search Manipulation
Prompt-injection strings aimed at AI Overviews, hidden text blocks and self-serving "Top N" listicles — a named spam violation since May 15, 2026.
From URL to action plan in a minute
Point
Enter any domain — yours or a competitor's. No signup, no tracking snippet.
Crawl
We fetch robots.txt, sitemaps and up to 8 representative pages across site sections.
Analyze
40+ signals across 6 dimensions are computed and weighted into a calibrated 0–100 score.
Fix
You get page-level verdicts and a prioritized remediation list mapped to Google's spam policies.
The June 2026 Spam Update changed the math
On June 24, 2026 Google began rolling out a global spam update, completing it by June 27. It sharpened automated detection of spam-policy violations — with scaled content abuse (mass-produced, low-value pages, typically AI-generated) squarely in scope.
Weeks earlier, on May 15, 2026, Google rewrote its spam policies to explicitly name manipulation of AI search responses (AI Overviews / AI Mode) as spam — the first time AI manipulation was written into policy.
AI-written text is not penalized by itself. Mass-produced, unhelpful, trust-free content is. PureRank measures exactly that gap.
- May 15, 2026Spam policy rewriteManipulating generative AI responses in Search is named a violation for the first time.
- Jun 24, 2026Spam update beginsGlobal rollout starts ~noon ET, all languages, Search + AI Overviews + AI Mode.
- Jun 26–27, 2026Rollout completesSites violating spam policies "rank lower or don't appear in results at all".
- NowPeriodic refreshesGoogle refreshes spam systems continuously; recovery takes months. Audit before the next pass.
Start free. Scale when it matters.
Scout
- 3 scans per day
- 12 pages per scan
- Full 7-dimension report
- Public share links
Recovery Audit
- Full-coverage crawl (300 pages)
- Detailed PDF + fix plan
- Domain history (Wayback)
- Private report
- Code FIRSTAUDIT50 → $24.50
Pro
- Daily monitoring + Telegram/email alerts
- GSC: pages already losing clicks
- 100-page deep scans, private reports
- PDF reports & trend history
- API access
Agency
- 25 client sites, 300-page crawls
- White-label PDF (your brand)
- Competitor benchmarking
- 10× API quota, priority support
Straight answers
Does Google penalize AI content?
Not per se. Google's stance is "reward high-quality content, however it is produced". What gets demoted is scaled content abuse: mass-produced pages with no added value, expertise or trust — which in 2026 overwhelmingly means unedited AI output. The June 2026 spam update tightened exactly that detection.
How accurate is the AI Spam Score?
It is a probabilistic estimate built from 40+ public, explainable signals — not a black box and not a Google metric. No detector can prove authorship; short or heavily edited texts are genuinely ambiguous. Use the score to prioritize a human review, and read the per-signal breakdown rather than the single number.
What exactly do you crawl?
robots.txt, your sitemaps, and up to 8 representative pages sampled across site sections (content pages are prioritized). We fetch politely with an identified user-agent, ~2 requests/second max, and never execute your JavaScript.
Can I scan a competitor?
Yes — any publicly reachable site. All signals are computed from public data only: HTML, sitemaps and robots.txt. Nothing is bypassed and nothing private is accessed.
My score is high. Am I doomed?
No. The report tells you which dimension drives the risk: boilerplate phrasing, templated pages, publishing bursts or a weak trust surface. Sites recover by consolidating thin pages, adding real expertise and provenance (authors, dates, sources) — typically over one to several months, per Google's own guidance.
Do you store my content?
Only the computed report (scores, signals, URLs) is stored locally so you can share a report link. Raw page HTML is discarded after analysis.