We have had this exact conversation with clients more times than we can count: they run their page through the Google Rich Results Test, see a green checkmark and “page is eligible for rich results,” and assume the rich snippet will show up in search within days. Then nothing happens, and they call us confused about why a tool built by Google itself seems to have lied to them.
It did not lie exactly, but the tool measures something narrower than most people assume, and understanding that gap has saved our Canada Create clients a lot of wasted worry over the years.
What the Rich Results Test Actually Checks
The Google Rich Results Test validates whether your structured data markup, schema.org code, is technically well formed and matches the required properties for a given rich result type. That is genuinely useful information. It tells you your FAQ schema, review schema, or recipe schema is not broken. What it does not tell you, and this is the part that trips people up, is whether Google will actually choose to display that rich result in search for your specific page.
Passing the test confirms eligibility, in the same sense that meeting the minimum requirements to apply for a job means you are eligible to apply, not that you will get hired. Google makes a completely separate ranking and display decision based on page quality, relevance, and how competitive the SERP is for that query, and that decision happens independently of whatever the testing tool reported.
A Real Example We Have Seen Repeatedly
Canada Create manages FAQ schema for several client sites, and it is common for a page to pass the Rich Results Test cleanly while showing zero FAQ rich results in actual search for months. In one case, a Toronto legal client’s practice area page had technically valid FAQ schema for over a year with no visible rich snippet, then it began appearing in search results after we rewrote the underlying FAQ answers to be more directly responsive to the actual question, without changing a single line of the schema markup itself. The code was already correct. What changed was the content quality behind the code, which the Rich Results Test has no way to evaluate.
This is the single biggest misunderstanding we correct with clients: the test is a syntax checker, not a content quality checker, and not a guarantee of display.
Why This Distinction Matters More Under Current Search Guidance
Google’s public guidance on rich results has been consistent for years but is worth restating clearly: structured data is a hint, not a directive, and Google reserves full discretion over whether and how to display any enhanced search feature. As search quality standards continue to tighten around genuine expertise and useful content, we expect the gap between “technically eligible” and “actually displayed” to widen further, not narrow, because rich result display is increasingly tied to overall page quality signals rather than markup correctness alone.
Businesses that treat schema markup as a checkbox to tick off, rather than as one part of a broader content quality effort, are going to keep being confused by test results that do not match what they see in search.
What We Check Instead of Relying on the Test Alone
Google Search Console’s Enhancement Reports
Search Console’s dedicated reports for FAQ, review, product, and other rich result types show actual impressions and clicks tied to rich results that have appeared in real search results, not just eligibility. This is the closest thing to ground truth available, and we check it monthly for every client with schema implemented, rather than relying on a one-time test pass.
Manual SERP Checks for Target Keywords
We manually search target keywords in an incognito browser, ideally from a Canadian IP address given the local nature of most client businesses, to see what is actually displaying for competitive queries. Sometimes a rich result is technically live but Google is choosing to show a competitor’s version instead because their content answers the query more directly or their page carries stronger overall authority signals.
Content Quality Review Alongside Schema Review
Every time we review structured data for a client, we review the actual page content it describes at the same time. If an FAQ answer is vague, generic, or clearly written to game the format rather than help a reader, we rewrite it before assuming a schema fix alone will solve the display problem.
Wondering whether your site’s schema markup is actually earning you anything in search, or just passing a test with no real world payoff? Book a call with Canada Create and we will pull your Search Console data and show you the real picture.
A Practical Checklist Before You Trust a “Pass”
- Confirm the schema passes the Rich Results Test, this rules out technical errors, nothing more.
- Check Search Console’s enhancement report for actual impressions of that rich result type over the past 90 days.
- Manually search your target queries and see what is genuinely displaying.
- If nothing is displaying despite a technical pass, review the underlying content quality before assuming the markup needs more changes.
- Recheck quarterly, since rich result display eligibility and Google’s display decisions both shift over time as algorithms update.
Common Mistakes We See Businesses Make Here
The most common mistake is spending disproportionate developer time perfecting schema markup while leaving the actual page content thin or generic, then being surprised when nothing shows up in search. The second most common mistake is assuming a rich result that appeared once will stay permanently, when in reality Google can and does stop displaying a rich result for a page even with no changes to the page itself, often because a competing page’s overall quality improved or query intent shifted.
We tell clients plainly that schema markup is worth doing correctly, but it should never be the first thing you invest heavily in if the underlying content has not been reviewed for real usefulness and specificity first. Good content with basic correct schema will consistently outperform excellent schema on thin content over time.
How This Plays Out Across Different Schema Types
Not every schema type behaves the same way in our experience. Review schema and aggregate rating markup tend to display more reliably once technically correct, because Google’s threshold for showing star ratings is comparatively mechanical, tied largely to having a legitimate, verifiable review count and average. FAQ schema, by contrast, has become noticeably more selective over the past couple of years, and we now see FAQ rich results appear for a smaller share of eligible pages than we did when we started implementing this markup for clients years ago. Product schema sits somewhere in between, generally reliable for e-commerce clients with clean pricing and availability data, but easily disqualified by inconsistencies between the schema and what a shopper actually sees on the page.
HowTo schema is the type we have grown most cautious about recommending, since Google scaled back where and how often HowTo rich results display broadly, and we have seen clients invest developer time here with almost no visible return over the following year. We now advise most clients to prioritize FAQ, review, and local business schema first, and treat HowTo as optional unless a specific competitive reason justifies it.
The Bottom Line
A green checkmark on the Google Rich Results Test tells you your code is not broken. It does not tell you whether Google will show your rich result, how competitive your query is, or whether your content is strong enough to earn the display Google’s algorithm is looking for. Treating the tool as a final verdict rather than a first step is where most of the confusion and wasted effort we see comes from.
If your team has spent time chasing rich results with no visible payoff in search, that is a solvable problem, but it usually requires looking past the testing tool itself. Talk to Canada Create and we will help you figure out whether the issue is your markup, your content, or simply a competitive SERP that needs a different strategy entirely.
We have run this exact audit dozens of times for Toronto clients over the years, and the pattern holds up more often than not: the schema was never the real problem. The content underneath it needed to earn the result the schema was only ever pointing to.
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About the author
Amir Vincent, Veteran SEO & AI Developer at Canada Create, has implemented and audited structured data for Toronto client sites since 2008.
Canada Create, 126 Willowdale Ave Suite #3, North York, ON M2N 4Y2. Call 416-273-9030.
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