One day, a site owner received a very cheerful email from Cloudflare.
“Congratulations! Your site passed 100,000 page views last month for the first time.”
The number shown was about 195,900. Not barely 100,000. Almost 200,000.
This is normally where the victory pose happens.
Instead, the owner’s first reaction was:
“Most of that is probably automated traffic.”
An automated email congratulating a site. Automated crawlers visiting the site. A human saying thank you to all of them.
At this point, half the cast of the internet is software.
The email was even smoother than that. After the congratulations came traffic analytics, speed recommendations, security recommendations, and an upgrade offer. What looked like an award ceremony quietly turned into a sales funnel. Respect.
That little episode captures a much bigger problem for new bloggers.
A large traffic number does not necessarily mean a large human audience. Publishing an article does not mean people will search for it. Choosing a searched phrase does not mean the page will rank.
Beginner guides usually have to compress all of that complexity into a few simple rules.
1. Congratulations on 100,000 Views. Nobody Said They Were All Human
Page-view numbers are useful, but they are not the same thing as “times a human actually read this.”
Search crawlers, automated collectors, repeat page loads from the same person, and other traffic can all be mixed in. Cloudflare itself provides tools for examining automated traffic.[1]
So when the number gets big, the more useful questions are:
- How many visits were actually from people?
- Which pages attracted them?
- What did they search for?
- Which countries and languages did they come from?
- Did they continue to another page?
“195,900 views!” sounds great.
But if most of it is automated traffic, the practical summary becomes:
Nice to see you again, crawlers. You look healthy this month.
That traffic is not completely meaningless. Being discovered and crawled is still different from being invisible.
The real question comes after discovery:
Can machines find the page and humans still want to read it?
2. Beginner Advice Is Not Wrong
On another day, an affiliate service sent a beginner lesson about getting pages found through search.
In short, it said:
- Write content that helps people.
- Check how often a topic is searched before writing.
- Avoid phrases with almost no demand.
- Avoid extremely broad phrases where competition is intense.
- As a beginner, consider phrases with roughly 100 to 10,000 monthly searches.
- Google Keyword Planner is useful for research.
None of that is ridiculous.
It is much better than opening a blank editor and deciding, “Today I shall write 3,000 words about this product because vibes.”
The email also gave click-rate examples for different ranking positions. Those figures may be useful inside the study they came from, but they should not be treated as permanent laws for every search. Search layouts and user behavior vary.
The bigger issue is this:
The lesson is fine as a tutorial. The actual game starts after the tutorial.
3. “100 to 10,000 Searches” Is Not Enough
Keyword Planner is useful for estimating demand.[2]
But the numbers have conditions.
Google explains that average monthly searches depend on the selected period, location, Search Network settings, and related settings. It also explains that the “competition” field reflects how many advertisers are competing for that keyword relative to other keywords.[2]
So:
Low ad competition does not automatically mean easy search rankings.
That distinction is an excellent beginner trap.
A dashboard says “Competition: Low,” and your brain immediately hears:
“THE FIELD IS OPEN. CHARGE.”
But the dashboard is much closer to saying:
“Relatively fewer advertisers are bidding here.”
Different battlefield.
A range such as 100 to 10,000 monthly searches can still be a handy beginner filter. It just cannot decide whether an article will win.
A phrase with 500 monthly searches may be brutal if the results are dominated by official brands and giant publishers.
A phrase with only 50 searches may still be valuable if you can answer it perfectly with experience nobody else has documented.
The key question is not simply how many searches exist.
It is:
What is the searcher actually trying to accomplish?
4. The Real Workflow Is Much Longer
Once you try to make an article that earns search traffic, the job expands fast.
1. Identify the reader’s actual question
A broad phrase such as “Seiko watch” is not enough.
Do they want to know if it is expensive? Which model to choose? Whether it works for business? Whether it makes a good gift? How to repair one?
Same product. Completely different jobs.
2. Find the language people really use
The phrase in your head may not be the phrase people type.
This becomes even more important on multilingual sites.
A natural Japanese phrase cannot simply be translated word for word and assumed to be a natural search phrase in Spanish, Korean, Thai, or German.
Each market needs its own normal wording.
3. Look at the current results
Search demand is not enough. You have to see what the current results are trying to satisfy.
Are they mostly official pages? Comparisons? Personal experiences? Videos? Maps? Shopping pages?
If you skip this step, you can end up doing the internet equivalent of:
delivering a perfect curry to a table that ordered ramen.
Good meal. Wrong order.
4. Check whether you have something only you can add
Google explicitly includes first-hand experience—such as actually using a product or visiting a place—among the signs creators can use to evaluate helpful content.[3]
That makes simple real-world material surprisingly powerful:
- You actually went there.
- You actually bought it.
- You actually failed.
- You actually compared the options.
- The web had no answer, so you asked someone on site.
- You checked the real price, time, quantity, or crowd level yourself.
A beginner can have this.
Sometimes a beginner can have more of it than a huge media site.
5. Make the title and opening keep the same promise
If the title promises “how to save money,” the article must actually explain how.
A page titled “How to Save Money” that concludes with “It was expensive. The end.” has broken the contract.
6. Watch real search performance after publishing
Publishing is not the finish line.
Check the actual phrases that triggered the page, how often it appeared, and which pages received attention.
If an unexpected phrase is bringing people in, strengthen the useful part around that need.
If the page appears for the wrong kind of search, adjust the title or opening.
7. Now do it in 12 languages
And suddenly the tutorial becomes a boss fight.
Eleven translation buttons are not enough.
Search wording, natural titles, and the order readers expect information can all differ by language and market.
Welcome to the final level of the beginner course.
5. Beginners Often Lose to Process, Not Writing Skill
It is too simplistic to say beginners fail because they “cannot write.”
Before writing, they may need to:
research, compare, choose a question, inspect current results, match the question with their own experience, build a title, write, publish, measure, and revise.
Then do it again for the next article.
If you tell someone to repeat that manually after work every evening, many people will be exhausted before paragraph one.
“Write something useful” is correct advice.
But the beginner is allowed to answer:
“Sure. Why does determining what is useful require seventeen tabs?”
The problem is often not motivation.
It is the number of decisions per article.
6. Let Humans Have Experiences and Let Machines Handle the Tedious Checks
This is where automation becomes genuinely useful.
Split the work by what humans and machines are good at.
Humans can:
- travel,
- eat,
- buy things,
- fail,
- notice something strange,
- ask staff questions,
- say, “Wait, why does this work like that?”
Machines can:
- collect related search wording,
- detect overlap with existing articles,
- inspect current search results,
- organize title candidates,
- rewrite for natural wording in multiple languages,
- collect post-publication performance,
- identify pages that may need another look.
Then the human does not have to manually tour ten dashboards for every article.
Human job: have experiences.
Machine job: deal with the annoying paperwork.
Beautiful division of labor.
7. But Mass Production Is Not the Win Condition
There is one major warning.
Automation does not mean:
“Generate 10,000 pages about anything people might search for and collect rankings.”
Google’s current spam policies say that creating many pages primarily to manipulate rankings, especially when they provide little or no added value, can count as scaled content abuse regardless of how the pages were produced.[4]
At the same time, Google’s people-first guidance focuses on why the content exists, who it helps, and whether it offers original or first-hand value.[3]
So the best part to automate is not:
the production of endless low-value prose.
Automate the annoying research, organization, localization, checking, and measurement.
Keep the human experience, questions, observations, mistakes, and jokes at the center.
A factory that says:
“Water dispensers are trending. I have never used one. Please generate 50 articles.”
is heading toward the wrong kind of scale.
A workflow that starts with:
“I got motion sick on this bus and nearly died. Also, where was I actually supposed to get off?”
has a real experience and a real question that other people may share.
That is a much better place to start.
8. Conclusion: The Real Game Starts After the Tutorial
Beginner search advice is not wrong.
Help people. Research demand. Avoid impossible battles.
All reasonable.
But those are only the entrance.
The real job is to:
understand what the searcher wants, inspect what the current results already provide, add first-hand value that only you have, and revise using real performance after publishing.
For multilingual publishing, repeat that thinking in every language.
Of course that feels heavy for a beginner.
That is exactly why this division makes sense:
Humans do interesting things. Machines handle tedious checking.
Now back to the original celebration email.
“Congratulations on 100,000 page views!”
Thank you.
But the next milestone we really want is:
100,000 humans, not 100,000 automated visits.
Long road.
Tutorial complete.
Game starts now.
References (4)
- Cloudflare, Bot Analytics developers.cloudflare.com
- Google Ads Help, About Keyword Planner forecasts and historical metrics support.google.com
- Google Search Central, Creating helpful, reliable, people-first content developers.google.com
- Google Search Central, Spam policies for Google web search developers.google.com
