JJRadiator Month 1 Report: First 10 Days of Google Search Console Data for an AI-Built Export Site

AI Export Lab · July 2026

I launched jjradiator.com with 15,000+ AI-generated product pages on June 21. Ten days later, Google Search Console shows 41 clicks, 661 impressions, and a 6.2% CTR. The numbers are small. That is the point — I am publishing them anyway.

Google Search Console metrics for jjradiator.com — July 1, 2026
Search Console snapshot — July 1, 2026. 41 clicks, 661 impressions, 6.2% CTR, average position 26.5.

Why I Am Publishing Numbers This Small

Most people wait until they have impressive data to show. I am doing the opposite.

jjradiator.com went live around June 21, 2026. It is an auto parts export website — radiators, condensers, intercoolers — built by me, a TCM practitioner with no programming background, using Claude and DeepSeek after work hours.

The site has over 15,000 product records. Each product page was generated through an AI pipeline: PDF catalog → vision extraction → structured JSON → HTML template → published page. I documented that workflow in a separate article (How I Built a 15,000+ Product Database for Under $1).

Ten days in, the data is small. 41 clicks. 661 impressions. These are not vanity metrics. They are a baseline.

I am publishing them now because the most useful part of a case study is not the ending. It is the beginning — when the numbers are unimpressive, the decisions are uncertain, and the reader can see whether the approach actually works over time.

This is the first monthly report. There will be more. Some will be boring. Some will show progress. Some will show regression. All of them stay public.


The Baseline Snapshot: June 23 vs July 1

I took two Search Console screenshots in the first 10 days. Here they are side by side:

Metric June 23 (Day 2) July 1 (Day 10) Change
Clicks 34 41 +20.6%
Impressions 395 661 +67.3%
CTR 8.6% 6.2% -2.4pp
Avg Position 23 26.5 -3.5

The headline numbers look mixed. Clicks and impressions are up. CTR and average position are down. But in context, this is exactly what you would expect from a brand-new site in its first week.

Here is why each number moved the way it did:

None of these numbers are impressive on their own. Taken together, they tell a clear story: Google is discovering the site, testing it against different queries, and the site is earning a small but real trickle of clicks. That is the only thing a 10-day-old site should be doing.


What Is Actually on the Site

It helps to know what Google is crawling. jjradiator.com is not a blog. It is a product catalog:

If this site gets meaningful traffic in month 3 or month 6, it will not be because of clever growth hacks. It will be because 15,000 well-structured product pages, indexed and ranking for long-tail part-number queries, can compound without much additional effort.

Or it will fail, and I will publish that too.


What I Changed in the First 10 Days

I did almost nothing. Deliberately.

The first two weeks after launching a new site are not for optimization. They are for observation. Google needs time to crawl, index, and start ranking pages. Making changes too early means you cannot tell whether what you are seeing is the result of your changes or just Google's normal discovery process.

Here is what I did do:

  1. Submitted the sitemap. Day one. 151 URLs submitted through Google Search Console.
  2. Checked index coverage. Watched which pages got indexed and which did not. No manual requests. Just monitoring.
  3. Verified basic on-page elements. Made sure title tags, meta descriptions, and H1s were rendering correctly across a random sample of product pages.
  4. Took screenshots. June 23 and July 1. That is it. No A/B tests. No content rewrites. No link building.

At this stage, the best thing you can do for a new site is not break anything and let Google do its job.


Things That Could Go Wrong From Here

I am not optimistic by default. Here is what I am watching for:

I will report on all of these in the next monthly update.


The Next Snapshot: July 8

I am taking the next Search Console screenshot on July 8, 2026 — roughly two weeks after launch. By then:

If the data shows something interesting, I will publish a week-2 update. If nothing changes, I will wait until the full month-1 report and explain what a "boring" month looks like in practice. Boring months are part of the story too.


If You Are Building Something Similar

If you are launching a product-heavy B2B site with AI-assisted content, here is what I would tell you based on 10 days of data:

  1. Publish your baseline early. Do not wait until the numbers look good. The baseline — when the data is small and unimpressive — is what makes future growth credible. Anyone can publish a success story after the fact. Very few people publish the first two weeks.
  2. Watch impressions, not clicks, in the first month. Clicks will be tiny. That is fine. Impressions tell you whether Google is discovering and testing your pages. No impressions = your pages are not in the index or your queries have no search volume. Fix that first.
  3. Do not optimize yet. If you change title tags and rewrite content in week one, you cannot tell whether your changes helped or Google was going to rank you differently anyway. Observe first. Act second.
  4. Structure matters more than word count. 15,000 thin product pages with consistent templates, proper title tags, and clean internal linking will outrank 50 "comprehensive guides" for long-tail part-number queries. The buyer searching "16400-0T020" does not need a blog post.

This project is public. The data stays public. If it works, you will see the proof. If it fails, you will see that too. Either way, it is more useful than a retrospective written after the outcome is already known.

Follow the next update: Live Stats Dashboard — the same Search Console screenshots, updated with each new snapshot.
Read the build log: AI Export Lab — every article in this experiment, in order.