I Ran a Full SEO Health Check in One Click
Brass-SEO has 10 one-click buttons on the dashboard sidebar. Each one sends a pre-built question to the AI, which pulls your Google Search Console and GA4 data and comes back with a formatted report. I wanted to understand where my site stands — the baseline — so I started with the four buttons that answer that question: Full Analysis, Valuable Pages, Winning Keywords, and Check Indexing.
Here is what each one showed me and how I used the AI chat to dig deeper afterward.
Note: The examples below are illustrative — they show the kind of results and interactions you would see with your own connected data, not a specific site's real numbers.
Quick Navigation
- Full Analysis
- Valuable Pages
- Winning Keywords
- Check Indexing
- What I Learned in 15 Minutes
- Frequently Asked Questions
Full Analysis
Full Analysis runs a complete SEO health check by combining 30 days of GSC data (clicks, impressions, average position, CTR) with GA4 data (sessions, bounce rate, engagement rate) into a single prioritized report.
What I saw: A performance summary table with metrics and trend arrows showing whether each number was up or down compared to the previous period. Below that, sections for top countries, traffic sources, device breakdown, top keywords, top opportunities, and problem pages — each with specific numbers from my data.
The part that caught my attention was the opportunities section. The AI found a page with over a thousand monthly impressions and a CTR under 1%. It flagged the title tag as the likely issue — the title was generic and did not match the specific query people were searching for.
What I asked next:
After the report, I typed: "That page with the low CTR — what keywords is it ranking for?" The AI pulled the keyword breakdown for that specific page and showed me the top queries driving impressions. One query was a question-format search that the title did not address at all.
Then I asked: "Can you suggest a new title for that page?" The AI drafted a title that included the primary keyword and matched the search intent. It also suggested a revised meta description to go with it.
This is the kind of finding that the Full Analysis report is designed to surface — the high-impact issues hiding in your data.
Valuable Pages
The button: Valuable Pages identifies your best-performing content by combining GSC clicks with GA4 engagement metrics. It finds pages that both attract traffic and keep visitors engaged.
What I saw: Three pages listed with their clicks, sessions, bounce rate, top keyword, and average position. Each page included a one-sentence explanation of why it was likely working and a specific next step.
One page was a blog post about a niche topic that I did not expect to perform well. It had strong click numbers, a low bounce rate, and was ranking in position 3 for a keyword I had not specifically targeted. The AI noted that the content matched the search intent closely — the page answered the exact question people were asking, which likely explained both the ranking and the engagement.
What I asked next:
I asked: "What other keywords could that page rank for?" The AI checked the GSC data and found three related queries where the page was getting impressions but ranking on page 2. These were striking-distance keywords — close to page 1, needing only a small push.
Then I asked: "What should I add to that page to target those keywords?" The AI suggested adding a section covering each of those subtopics, with specific headings it drafted based on the query language.
Knowing what is working is just as important as finding problems. If a page already ranks and engages visitors, building on it is often easier than creating something new from scratch.
Winning Keywords
The button: Winning Keywords shows your best-ranking keywords from GSC — the ones driving actual clicks to your site.
What I saw: A table of keywords sorted by clicks, with position, CTR, and the page ranking for each one. Below the table, an insights section covering brand versus non-brand performance, a quick-win keyword close to page 1, and a concern about a high-impression keyword getting almost no clicks.
The insights section was more useful than the raw table. The AI noticed that most of my clicks came from branded searches (people typing my business name), while non-branded keywords — the ones that bring in new visitors — were underperforming. It flagged one non-branded keyword at position 11 with strong impressions and suggested it was worth optimizing for.
What I asked next:
I typed: "Show me all my keywords in positions 8 through 15." The AI pulled a filtered list of striking-distance keywords where I was close to page 1 but not visible to most searchers. There were several I had not noticed.
Then I asked: "Which of those has the most potential?" The AI ranked them by impressions and explained which ones had the best chance of moving up based on the current ranking page's relevance to the query. This is essentially what the 10 questions to ask your SEO data guide recommends — but instead of figuring out the right question, I just asked.
Check Indexing
The button: Check Indexing checks whether a specific URL is indexed by Google. It uses the URL Inspection API to show indexing status, last crawl date, canonical URL, and any blocking factors.
Unlike the other three buttons, this one asks you to enter a URL first. I picked a page I had published recently and was not sure Google had found yet.
What I saw: A status table showing whether the page was indexed, when Google last crawled it, the verdict (pass, partial, or fail), how Google fetched it, and whether there were any blocking factors like robots.txt or meta robots tags. It also showed Google's chosen canonical URL alongside the one I had set, flagging any mismatch.
My page was indexed, but the last crawl was three weeks old. The AI pointed out that the page had been modified since then and suggested submitting it for re-indexing to get Google to pick up the changes.
What I asked next:
I asked: "Are any of my important pages not indexed?" The AI suggested checking a few key pages and offered to run the check on each one. I gave it my three most important service pages, and it checked all three. Two were indexed normally. One had a canonical mismatch — Google was treating a different URL as the canonical, which meant the page I wanted indexed was being ignored in favor of another version.
The AI explained what a canonical mismatch means and suggested two fixes: update the canonical tag on the page, or add a redirect from the wrong URL to the right one.
What I Learned in 15 Minutes
Four buttons. About 15 minutes of clicking and asking follow-up questions. Here is what I walked away with:
- A baseline health report with metrics, trends, and ranked priorities
- 1 high-impact title rewrite for a page with strong impressions and weak CTR
- 3 striking-distance keywords I did not know about, with suggestions for how to rank higher
- 1 valuable page I could expand to capture more related keywords
- 1 canonical issue on a service page that was hurting its indexing
Each of those is an action item. The AI did not just show me data — it told me what the data meant and what to do about it.
That is the baseline. Once you know where your site stands, the next step is finding what is broken. That is what the problem-finding buttons are for.
This is Part 1 of the Brass-SEO Button Series. Read Part 2: I Found 3 SEO Problems in Under a Minute and Part 3: I Asked the AI What to Do Next for My SEO. See all buttons on the Dashboard Buttons guide.
Frequently Asked Questions
Do I need to run all four buttons every time?
No. Full Analysis gives you the broadest overview, so it is a good starting point. Use the other three when you want to drill into a specific area — your best content, your strongest keywords, or a particular page's indexing status. Over time you will develop a routine. A monthly SEO check-in is a good cadence for most sites.
How much data does Brass-SEO need before these reports are useful?
The buttons pull from your Google Search Console and GA4 data. GSC starts collecting data immediately after setup, but you will get more meaningful results with at least 2-4 weeks of accumulated data. If your site is very new with near-zero impressions, there will not be much to analyze yet.
Can I ask the AI to explain something I do not understand in the report?
Yes. The conversation is interactive. If the AI mentions a metric, a keyword, or a recommendation you do not understand, ask it to explain. It will use your data to give context rather than a generic definition. You can ask your SEO data anything — including "what does this mean?"
What is the difference between these buttons and the one-click reports article?
The 8 One-Click SEO Reports Explained post describes what each button does in a reference format. This series shows what the experience looks like when you actually use them — what the output looks like, what follow-up questions to ask, and how the buttons connect to each other.
Try It Yourself
Connect your Google Search Console and GA4 data, click Full Analysis, and see where your site stands. Then follow up with Valuable Pages, Winning Keywords, and Check Indexing to complete the picture.