On 7 October 2026, before its relaunch, this site had 14 URLs, 3 substantial pages per language, no articles and a score of 95 out of 100 from its own AdSense checker. It was technically clean, and there was almost nothing to read around the tools. We would not have applied with it.
The score was high because a checker sees what a fetch can see: HTTPS, redirects, robots rules, titles, links. It cannot see whether a visitor has any reason to stay once the answer appears. Google’s policy on ads on screens without publisher content asks that your content be the focal point of the page, and our reading is that a page which is only a widget has little content of its own, however good the widget is. A calculator site starts with exactly that problem.
What we decided to build
We made 4 decisions. Each answers a gap we measured on that day rather than copying a template.
- A body of guides, published in waves. 31 guides in 5 categories: 12 on AdSense approval, 6 on technical SEO, 7 on on-page work, 3 on trust, privacy and security, and 3 on data from our own logs and audits. Each targets 1 question, so no 2 guides compete for the same search.
- Tool pages that teach. Each tool page explains what the tool checks, how to read the result, where it stops being reliable and which mistakes sit behind its failures. We aim above 600 words per page, which is the average depth our own checker treats as a pass. That threshold is ours; Google sets no word count.
- Pages that show who is behind the site. About, contact, privacy and terms, plus an editorial policy that says drafting is done with AI assistance, a changelog and a credits page. The publisher is named on the about page. What each of these pages needs is a guide of its own.
- A public method and numbers we measured. The methodology page explains how every score is computed and which thresholds are ours. A figure in a guide that does not come from Google comes from our logs, our audits or a test, and the guide says which.
The 31 guides are scheduled over 12 publication dates between 7 October and 13 November 2026: 9 on the first day, then 2 or 3 every 3 to 4 days. Google publishes nothing about how it treats a site that adds dozens of pages at once, so we cannot claim a single dump would hurt. Our reasons are practical. We run our own checkers on each wave before it ships, which is manageable in batches of 2 or 3, and the date on each guide is its real publication date.
The editorial layer, tool by tool
The question we ask of each tool is what someone wants to know before running it and after seeing the result. This is the layer we are building around our 6 tools.
| Tool | What its page must explain | Guides around it |
|---|---|---|
| AdSense eligibility checker | What the 57 checks in 8 categories look at, how the weighted score is built, what a fetch cannot see | Requirements, rejection reasons, approval tips, low value content |
| SEO checker | The checks, up to 53 in 9 categories, and the fix for each failure | Title tags, headings, images, structured data, Core Web Vitals, internal links |
| Privacy policy generator | What Google asks you to disclose and what a generated text cannot know about your site | Privacy policy, cookie consent, important pages |
| ads.txt checker | The 4 fields of a line, DIRECT and RESELLER, how long a change takes to be picked up | ads.txt explained |
| robots.txt tester | How a rule is chosen, what each of the 7 crawlers is | robots.txt mistakes, sitemaps, who crawls a small site |
| Snippet preview | Why width in pixels matters more than characters, and what Google rewrites | Title tags and descriptions, headings, search intent |
Around any tool, 5 kinds of article earn their place, because each answers a different question:
- How to use it. The inputs, in order, with a worked example. This lives on the tool page itself.
- How to read the result. What a failing check means and what to change, such as our guide to AdSense rejection reasons.
- The common mistakes. The errors behind the failures, shown before and after, as in the robots.txt mistakes guide.
- The theory behind it. Why the check exists and which primary source says so, for example why a title is measured in pixels.
- A data study. What the tool or your own servers show when you look at real traffic, like our server logs study.
A guide that fits none of the 5 usually repeats another one.
An afternoon of work on your own tool site
You do not need 31 guides to start. This sequence takes an afternoon and shows how far your site is from having a layer at all.
- Write 2 questions per tool. What does a person want to know before using it, and what do they ask after seeing the result? Each question is a candidate page.
- Strip the tool out and count what is left. Read the page text without the widget. If it is under 600 words, which is our bar and not Google’s, write the missing explanation: what is computed, from which formula or source, where the answer stops being reliable, and one worked example.
- Stop result URLs from multiplying. If the tool creates a URL per result, such as
/mortgage-calculator/?amount=250000, pointrel="canonical"at the clean tool address. Google treatsrel=canonicalas a strong signal for consolidating duplicate URLs, parameters included. - Choose 3 to 6 guides per tool from the 5 types, and drop any that repeats the question of another. The search intent method is a quick way to test that.
- Build the trust pages first: a named publisher, a contact that works, a privacy policy with the advertising wording, an editorial policy.
- Publish in waves and run the checker after each one.
<link rel="canonical" href="https://example.com/mortgage-calculator/">
Where tool sites go wrong, and what we cannot promise
The first trap is the page that is only a tool. If removing the widget leaves a title and a footer, the page has nothing for a reviewer to judge, and a results URL that holds only numbers is the same problem at smaller scale. The fix is the layer above: the page explains what the tool measures and where its answer stops being reliable.
The second trap is the cheap multiplication of pages. A calculator can be cloned per city, per currency or per keyword in an afternoon, and the result is dozens of near-identical pages, the pattern usually called doorway pages. We chose against it: 1 tool, 1 page, and guides that each answer a different question. Google’s helpful content guidance says that generating content at scale through automation to manipulate rankings violates its spam policies. Where exactly a given set of per-keyword pages crosses that line is not something Google spells out, and we would rather not find out on a site we want approved.
We do not know whether this will be enough. Google publishes no page count, word count or traffic level that would let us check our work against a rule, and we have not applied with the relaunched site. When we do, the decision, whatever it is, goes into our changelog with the date and the state of the site at that moment.