Evaluating Manual Actions and Security Issues

Diagnosing Spammy Structured Data Manual Actions in Google Search Console

When Google issues a manual action for spammy structured data, the notification in Search Console often reads like a cryptic shrug: “This site may not comply with Google’s structured data policies.” For an intermediate web marketer, that single line is both a red flag and a treasure map. The diagnostic process is less about panic and more about methodical reverse-engineering—treating the penalty as a data integrity problem rather than a punishment. The goal is not merely to remove the action but to understand why the algorithm flagged your markup as manipulative in the first place.

Your first stop is the Manual Actions report under Security & Manual Actions. If the action is listed as “Spammy Structured Data” at the site or partial-match level, you need to locate the offending markup. Google’s sample URLs are rarely exhaustive; they provide a starting point, not a comprehensive inventory. Begin by exporting the list of affected pages from the report, then cross-reference those URLs with your site’s sitemap and any structured data testing tools. The real challenge is that the penalty often stems not from a single egregious violation but from a pattern—repeated, low-value markup that Google’s reviewers consider unnatural. For example, using `Review` schema on every product page with a fabricated 5-star rating, or applying `Event` schema to evergreen blog posts claiming a “sold out” status to create artificial urgency.

Once you have a suspect list, open the URL Inspection Tool for each page. Pay close attention to the “Page with indexing issues” details, especially the “Structured Data” tab. Here you can see exactly which schema items Google parsed. Look for inconsistencies: a `priceValidUntil` date that expired two years ago, a `reviewCount` that differs from actual user-submitted totals, or `aggregateRating` values that defy reasonable distribution. These are not just mistakes; they are signals of spammy intent. Document every discrepancy in a shared audit spreadsheet, categorizing each issue as either a human error, a plugin glitch, or deliberate gaming of the system. Most intermediate marketers overlook the fact that Google’s reviewers often rely on the same structured data guidelines that the Schema.org vocabulary provides. If your markup violates those guidelines—say, by using `Rating` on a page that offers no review functionality—you have a clear path to resolution.

After identifying problematic patterns, the remediation phase requires surgical precision. Remove or correct all flagged markup. Do not simply delete the entire schema block; instead, replace it with valid, truthful data. For e-commerce sites, this might mean connecting your review schema to an actual user-submitted feed. For content sites, ensure that `Article` or `BlogPosting` markup includes accurate author information and publication dates. Then, use the Structured Data Testing Tool (or the Rich Results Test) to validate every changed page. Pay attention to warnings as well as errors; a warning about missing `image` or `author` can later escalate into a new manual action if left unfixed.

The next step is the reconsideration request. Before submitting, verify that your site is fully clean. Run a crawl of your entire domain using a tool like Screaming Frog or Sitebulb, filtering for pages that contain schema. Check that no old, uncorrected pages remain indexed. Also review your server logs for any signs of cloaked markup—sometimes a CMS will serve different schema to Googlebot than to users, which is a surefire way to earn a harsher penalty. Once you are confident, submit the reconsideration request via Search Console. In the explanation field, be explicit: list the types of violations you found, the number of pages affected, and the exact changes you made. Avoid vague language like “we fixed everything.” Instead, say “removed Review schema from 47 product pages that lacked user reviews, updated `priceValidUntil` on 12 event pages, and added a valid `author` property to 23 article pages.”

Monitoring post-submission is where many marketers drop the ball. The reconsideration process can take days or weeks. During that time, do not sit idle. Keep an eye on the Security Issues report—spammy structured data penalties sometimes coexist with compromised content that injects hidden markup. Check for any new malicious code, like base64-encoded script tags or iframe injections that sneak in fake schema. Security issues can trigger a manual action on their own, so a concurrent cleanup ensures you aren’t fighting two battles at once. Also monitor your crawl stats and index coverage in Search Console. A sudden drop in indexed pages after a manual action might indicate that Google is applying the penalty more broadly than the initial report suggested.

Finally, after the action is removed, institute a structured data governance policy. Use Search Console’s Performance report to watch for unexpected drops in impressions or clicks on rich result types you rely on. Schedule a monthly audit of your schema using the Enhanced Reports inside GSC, which now show when structured data has been disapproved or flagged as invalid. The diagnostic mindset you applied during the penalty is now a preventive asset. You have learned to read between the lines of a manual action—to see it not as a failure but as a signal that your markup hygiene needed recalibration. The next time a notification appears, you will already know the steps to decode and resolve it without guessing.

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F.A.Q.

Get answers to your SEO questions.

How can site search data inform my content strategy and keyword targeting?
It provides a validated, low-competition keyword list with proven user intent. Users searching on your site are already in a qualified, high-intent mindset. Identify recurring themes and specific phrasing from these queries to create bottom-of-the-funnel (BOFU) and commercial intent content that precisely matches their language. This data also helps you expand topic clusters by revealing subtopics your audience cares about, ensuring your content strategy is driven by actual demand rather than assumptions.
Can over-optimizing or “spamming” structured data actually hurt my site?
Yes. Marking up content that isn’t visible to the user, repeating irrelevant markup, or using Schema types that don’t match your page’s primary purpose is considered spam. Google can manually penalize this, but more commonly, they’ll simply ignore your markup, wasting your effort. Always follow the “representative of the page” rule. Quality and accuracy trump quantity.
What key metrics should I prioritize when reviewing search queries?
Focus on Search Volume (frequency of a query), Zero-Result Rate (queries returning no matches), and Exit Rate Post-Search. High-volume, high-exit or zero-result queries signal major content gaps or poor information architecture. Also, analyze the Click-Through Rate (CTR) on search results—which results users click—to understand content alignment with intent. This prioritization framework moves you from raw data to actionable insights, highlighting where fixes will have the greatest impact on user satisfaction and site performance.
Can keyword cannibalization ever be a deliberate strategy?
Rarely, and it’s high-risk. Some large e-commerce sites might intentionally target the same product keyword with a category page and specific product pages, hoping to capture multiple SERP spots. However, this often leads to self-competition and a poor user experience. A more savvy approach is to differentiate intent clearly: category pages for “best running shoes” (comparison) vs. product pages for “Nike Air Zoom Pegasus 39” (purchase). Deliberate cannibalization requires extreme precision and constant monitoring.
How does local schema markup on my website interact with my GBP?
Think of local schema (like `LocalBusiness` or `Service`) as a direct data handshake between your website and your GBP. It creates a programmatic link, reinforcing NAP consistency and business details for Google’s knowledge graph. It helps Google confidently associate your website with your physical entity. Use JSON-LD schema to markup your name, address, phone, geo-coordinates, business hours, and aggregate review rating, creating a unified digital footprint.
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