Checks 33 signals: E-E-A-T, GEO (AI search), Helpful Content, technical SEO, and Core Web Vitals: and returns an instant rank-risk score with a prioritized fix list. Will your page survive the next Google update and show up in AI Overviews?
Most SEO audits only catch technical errors. Google's recent algorithm updates: Helpful Content, core updates, and E-E-A-T changes: penalize pages for signals traditional tools miss, and AI answer engines now decide who gets cited at all. Credify's Google penalty risk scanner doubles as a rank risk predictor: it checks 33 signals in a single pass and returns a 0–100 risk score that shows exactly how exposed your page is before the next update hits. An E-E-A-T risk score, a google ranking drop checker, GEO / AI-search readiness signals, Core Web Vitals via PageSpeed Insights, and a helpful content update checker: all in one scan, in under 15 seconds.
After scanning, the tool shows each issue with a severity level (Critical → Low) and a concrete fix: not just a flag. URL mode checks Core Web Vitals (LCP, CLS, TBT) via PageSpeed Insights alongside all on-page signals. Pro users can generate shareable report links for clients, run bulk scans, and track score changes over time. To go deeper, pair it with the E-E-A-T Checker for a full quality rewrite, run the AI Detector to measure AI pattern density, and check Readability to hit the Flesch score Google favors.
I've spent years watching sites get destroyed by algorithm updates they never saw coming. The sites that recovered fastest had three things in common: a named author with credentials, external citations, and Core Web Vitals in the green. Every signal in this scanner came from analyzing pages before and after major Google updates: the patterns that consistently separated the rankings that held from the ones that dropped.
Your E-E-A-T risk score is a composite of five weighted signals: author byline presence, external citations (minimum 2 required), trust page coverage (About, Contact, Privacy), publication date freshness, and YMYL topic classification. A score above 50 means Google's quality raters: and its automated systems: are likely discounting your content against better-attributed competitors. The helpful content update checker inside this tool cross-references your page's word count, readability, keyword density, and templated-content patterns against the thresholds that have historically triggered ranking drops in core updates. Fix the highest-severity issues first: adding an author byline and two external citations alone typically drops your rank risk predictor score by 15–25 points. For YMYL pages covering health, finance, or legal topics, the signal multiplier is 1.5×: those gaps cost significantly more in the final risk score.
Templated metadata is a title and description pair that was generated rather than written. The shape is easy to recognise once you know it: the meta description opens by repeating its own <title> word for word, then closes with a stock call to action: Try it free now. Get started today. Start improving now. One page like that is a wasted snippet. Two hundred pages like that is a pattern, and patterns are what Google's spam systems are built to find. The scanner checks this deterministically, by string comparison: it does not guess at intent and it does not need a model to do it.
Why the spam systems act on it: Google defines scaled content abuse as producing pages at volume primarily to game search rather than to help anyone. Body text is expensive to compare across a whole site. Metadata is not: two short strings per URL, machine-comparable in a single pass. A duplicate meta description repeated site-wide is therefore the cheapest possible evidence of mass production, and it fires whether or not the content underneath is original. That is the trap. You can write every word of every article yourself and still be judged on a metadata job that took a script four seconds.
It is rarely deliberate. It comes from bulk metadata jobs run over a whole sitemap at once, from CSV-generated title/description pairs where a spreadsheet formula concatenates the two columns, and from CMS templates that fill a pattern like {{page_title}} | {{site_name}}. {{tagline}} Try it free now. for every page in the database. Each of those produces a technically valid description that no human ever read. The meta description checker will tell you if a single description is the right length; this scanner tells you whether it was written or assembled.
Word to HTML Converter Free | CredifyWord to HTML Converter Free | Credify. Convert your document instantly. Try it free now.Word to HTML Converter Free | CredifyPaste a Word document and get clean semantic HTML: no <span> soup, no inline styles. Tables, lists and headings survive intact, and nothing leaves your browser.The June 2026 spam update hit this site for scaled content abuse. Our first assumption was the obvious one: the body copy must be too similar page to page. So we measured it. Average cross-page 8-gram Jaccard similarity across the site came out at 0.021: effectively no overlap. The articles were fine.
The metadata was not. Twenty-six pages carried a meta description that opened with its own title tag and ended with the same stock CTA, because they had all come out of one bulk pass instead of being written per page. We rewrote all twenty-six by hand, then built the detector so the scanner would catch the shape on other sites. It is the check we wish we had been running.
We are not claiming a recovery: the rewrite is recent and rankings move slowly, so the honest answer on that is not in yet. What we can say is what it cost to learn, and that the check is now one of the 33 signals every scan runs. If your descriptions were generated in a batch, this is the fastest thing on the whole fix list: it is a writing job, not an engineering one, and it does not touch a single line of your content.
Search is splitting in two. Classic SEO still decides your blue-link rankings, but generative engine optimization (GEO) decides whether AI answer engines: Google AI Overviews, ChatGPT, Perplexity, and Gemini: quote your page or skip it. The scanner now checks four GEO signals alongside every SEO check: Q&A structure (question-style headings and FAQPage schema AI engines lift answers from), extractable lists and tables (generative engines quote bullets and steps far more than walls of text), statistics and data density (stat-rich content gets cited disproportionately in AI answers), and an llms.txt file (the emerging robots.txt for AI crawlers). Pages strong on both SEO and GEO win twice: they rank in Google and get surfaced inside AI-generated answers.
Free, instant, no signup. Find the signals putting your rankings at risk: before the next Google update does.
Want the full history behind these signals? See the Google algorithm updates timeline, every core and spam update from 2011 to 2026, or the Helpful Content Update survival guide if a sitewide decline is what brought you here.