SEO Analyse

I think of SEO analysis as a triage process for your website. You check three layers: technical (can Google crawl and index pages?), on-page (are the content and markup aligned with what searchers want?), and off-page (do other sites trust you enough to link?). Most guides treat these as separate buckets, but I've found they bleed into each other. A slow site (technical) kills on-page engagement, and thin content (on-page) rarely attracts links.

Here is a worked example. Last year I took on a client with 500 product pages. Search Console showed 12,000 impressions a month but only 200 clicks — a 1.7% click-through rate. My first crawl revealed that 40% of those pages were blocked by a misconfigured robots.txt directive left over from a staging environment. I fixed that, and within two weeks impressions rose to 34,000 and clicks to 1,100. That single technical issue accounted for 80% of the traffic gap. Without a structured analysis I would have spent weeks optimising meta descriptions or rewriting copy that nobody could even see.

The goal is not to raise rankings for the sake of it. A page that ranks #1 for a query with 50 searches a month still generates almost no traffic. I prioritise analysis by potential impact: what change, if made, would move the needle on organic sessions or conversions? That means looking at [SEO Metrics](/seo-metrics/) like click-through rate and bounce rate alongside keyword positions. If you only track rankings, you miss the half of the story that happens after the user clicks the result.

SEO analysis is never wasted, but it matters most in a handful of situations. If you are planning a site migration — changing domains, moving to HTTPS, or restructuring URLs — run a full analysis beforehand. I worked on a migration where the developers had set up 200 redirect chains without telling me. My pre-migration crawl flagged them, we flattened the chains, and the site lost only 3% of traffic instead of the 30% I have seen on similar projects.

If traffic or rankings drop unexpectedly — and by drop I mean a sustained 20%+ decline over two weeks — do not guess the cause. Go straight to Search Console for index coverage reports and to a crawl tool for on-page errors. I once spent a week blaming a Google update when the real culprit was a tag manager script that had accidentally noindexed the entire blog section. A quick crawl would have found it in ten minutes.

If you are building a content strategy, an analysis of your existing pages tells you what to keep, what to consolidate and what to write next. I analyse the top 20 landing pages by organic traffic and check whether they align with the keywords I want to target. Usually I find two or three pages that rank well but for the wrong queries — ranking #3 for a navigational term when the page should be informational. That insight alone reshapes the content brief.

Finally, if you are preparing a [SEO Report](/seo-report/) for a client or stakeholder, the analysis is what gives the report teeth. Without it, the report is just a list of rankings. With it, you can say: 'Your technical health score is 68%, and the biggest gap is page speed on mobile, which correlates with a 15% higher bounce rate on product pages.' Numbers like that drive decisions.

My biggest mistake was treating SEO analysis as a one-time project. I would run a full audit at the start of a contract, produce a 40-page deck, and then never look at the data again until the client complained about a drop. The search landscape changes every week — Google tweaks its algorithms, competitors publish new content, and your own site accumulates technical debt. Analysis is not a milestone; it is a cadence. I now schedule a mini-analysis every 90 days and a full one every six months.

I also used to ignore everything except rankings. I would celebrate moving a page from #8 to #3, but never check whether that ranking actually brought traffic or conversions. One page I optimised to #1 for a keyword with 50 monthly searches. It generated zero revenue. Now I look at rank position only as one signal among many, alongside organic click-through rate, average engagement time, and conversion rate. [Google Analytics](/google-analytics/) and the [SEO Analysis](/seo-analysis/) data from Search Console together give a fuller picture.

Another thing I got wrong: I assumed a high crawl count meant Google loved my site. It does not. A site with thousands of crawled pages but no impressions is often wasting budget on thin or duplicate content. I learned to analyse crawl efficiency — the ratio of crawled pages to indexed pages — and found clients who had 60% of crawled pages ending up in 'discovered – currently not indexed'. That is a signal to consolidate or improve those pages, not to create more.

Finally, I undervalued [SEO Tracking](/seo-tracking/) as part of the process. I thought a one-off benchmark was enough, but month-over-month tracking of core metrics like index coverage, average position and organic sessions catches issues before they become emergencies. A flat traffic line for three months is not a plateau; it is a warning that your analysis cycle is too slow.