Challenge
A B2B SaaS company had built its organic growth almost entirely on informational content. By early 2025, 78.89% of its organic clicks landed on blog posts, while the pages explaining what the product did, who it served and what it cost drew under 2% between them.
As AI-generated answers began absorbing informational queries across the industry, that concentration stopped being a strength and became a business risk.
I led an information architecture rebuild to reduce the dependency, give commercial pages a structure buyers and search engines could follow, and organise the site by page type rather than by publishing history.
Two problems sat underneath the traffic chart, and only one of them was about traffic.
Traffic concentration. Nearly four in five organic clicks came from blog content. That made the company's organic acquisition dependent on informational search at precisely the moment AI-generated answers were reducing the need to click through to a website at all.
Weak information architecture. Commercial content was fragmented across the site:
- Case studies lived in three places: a case studies folder, the blog, and the root domain.
- Feature, solution and industry pages sat flat on the root domain with no parent-child relationship to anything.
- Header and footer navigation reflected no consistent grouping, because there was no grouping to reflect.
The flat URL structure provided little additional context about page types or their relationships, while inconsistent navigation and internal linking made those relationships harder to discover. The site had accumulated content for years without developing a structure to hold it.
Diagnosis
Before touching a URL, I segmented every page in Google Search Console into twelve page types: Blog, Homepage, Solutions, Industries, Features, Pricing, Company, Case Studies, Security, Alternatives, Resources and Other.
On a flat site this cannot be done with a URL filter. It has to be done by mapping individual URLs to categories by hand. That tedium was itself the finding: if the site could not be segmented by URL pattern, neither a search engine nor a language model could infer those groupings either.
A single point of failure. 78.89% of clicks came from one page type. Any shift in how informational queries were answered would hit this site harder than one with a balanced profile, and that shift was already underway.
Commercial pages were invisible. Throughout this case study, commercial pages means Solutions, Industries, Features, Pricing, Security and Alternatives. Together they generated 853 clicks in the first half of the year, under 2% of the total, outperformed roughly forty to one by content that rarely converted.
Strategy
1. Define page types by buyer intent, not by publishing history
The temptation on a migration like this is to open the CMS and start moving things. I started with a page inventory instead, asking one question of every URL: what job does this page do for a buyer?
That resolved most of the ambiguity. A page explaining a capability is a feature page. A page explaining an outcome for a job function is a solutions page. A page explaining an outcome for a vertical is an industries page. A customer story is a case study, wherever it happened to be published.
The categories produced the folder structure, not the other way round: /features/, /solutions/, /industries/, /case-studies/ and /blog/.
2. Consolidate the scattered case studies
The same content type existed in three locations depending on who published it and when. Consolidating them gave the site one canonical home for social proof, removed customer stories from a folder that should signal editorial content, and gave the sales team a single URL pattern to reference.
3. Prune before migrating
Not every case study earned a move. The test was whether a story still represented what the company sold and who it sold to; several covered customers, use cases or product versions that no longer did. Migrating them would have meant carrying dead weight into a clean structure and arguing about it later. This has a visible cost in the data, discussed below, and it was still the right call.
4. Make navigation match the hierarchy
A folder structure that exists only in the address bar is a half-finished job. Header and footer navigation were rebuilt to mirror the new hierarchy, so the grouping was expressed three ways at once: in the URL, in the internal link graph, and in the navigation a user actually clicks.
This produced the most immediate feedback, and from a direction I had not been measuring. Colleagues outside marketing reported they could now find things on their own company's site.
Results
Results: H2 2025 compared with H1 2025
- +38.0% clicks to commercial pages, against a 38.6% fall in total organic clicks
- +81.1% clicks to solutions pages, the page type closest to a buying decision
- 2.25× commercial share of organic clicks, from 1.94% to 4.37%
- Highest number of scheduled demos on record during the same period
This is a before-and-after comparison, not a controlled test. The rebuild coincided with broader shifts in organic search, so these figures show what changed rather than what caused it.
The rebuild did not reverse the industry-wide decline in informational traffic, and was not designed to. What it did was move the site's organic entry points toward pages closer to a purchase.
Total organic clicks fell 38.6%, from 43,887 to 26,935. That is the headline, and burying it would be dishonest.
Underneath it, the pages that matter commercially moved the other way. Commercial clicks grew 38.0% in absolute terms while the total was falling, and their share of organic clicks more than doubled.
| Commercial page type | Change |
|---|---|
| Solutions | +81.1% |
| Industries | −2.0% |
| Pricing | +5.9% |
| Features | +457% |
| Security | +100% |
| Alternatives | +40% |
| All commercial pages | +38.0% |
Solutions is the result worth leading with. It combines a large percentage gain with the largest absolute one, 266 additional clicks, on the page type sitting closest to a buying decision. Features grew 457%, but from seven clicks to thirty-nine; a percentage that large on a base that small describes noise, not momentum.
Blog dependency fell just over ten percentage points, from 78.89% to 68.85% of all clicks. That reduction was driven partly by blog traffic falling rather than by growth elsewhere, so it is evidence of reduced concentration rather than reduced exposure to search volatility overall.
Business impact: more demos despite fewer clicks
During the same period the company recorded its highest ever number of scheduled demos. This cannot be attributed to the restructuring alone: other channels, campaigns and sales activity ran concurrently, and organic-attributed demo data is not available for the period.
What it does establish is that a 38.6% fall in organic click volume did not coincide with a fall in demo demand. Fewer people arrived, and the business did not suffer for it.
What the numbers do and don't prove
Organic traffic declined 38.6%. The fall was driven primarily by blog content. The rebuild did not reverse it and was not designed to.
The blog decline cannot be pinned on AI Overviews alone. The restructuring took place while AI-generated search experiences were changing how users interacted with informational results, which is part of why diversifying entry points mattered. But this data does not isolate how much of the decline came from AI answers rather than ranking changes, demand fluctuation, competitor movement or the pruning described above.
Case Studies fell 41.9%, and that is not like-for-like. Two things happened at once: customer stories were reclassified out of Blog and into Case Studies, and irrelevant ones were removed entirely. The segment's inventory changed, so the before-and-after figures do not compare an unchanged set of pages.
Homepage share rose while homepage traffic fell. Homepage clicks dropped 13.2%. Its share rose seven points only because total traffic fell faster. Rising share is not rising traffic.
The clearest positive result is the 38% increase in absolute clicks to commercial pages during a period when the site as a whole lost nearly four clicks in every ten.
Key Takeaways
Traffic concentration is a business risk, not a vanity metric. When 80% of organic clicks come from one page type, a change in how that type of query gets answered becomes an existential problem rather than a quarterly dip. What deserves monitoring is not just how much traffic a site earns, but which page types earn it and how close those pages sit to a purchase.
Information architecture should reflect the buying journey, not the publishing workflow. Solutions, industries, features and customer stories need relationships explicit enough that a buyer can navigate them and a crawler can infer them. A structure that grew out of who published what, and when, will not do that on its own.
Organic performance is best judged against business outcomes. Click volume was the wrong headline metric for this site in 2025, and it will be the wrong headline metric for a lot of B2B SaaS sites going forward. Commercial page visibility, qualified conversions and pipeline contribution describe what organic search is actually doing for a business.
Is your SaaS site too dependent on blog traffic?
If most of your organic traffic lands on informational content while your solutions, features and pricing pages struggle to attract anyone, the problem may be structural rather than editorial. I help B2B SaaS companies find the weaknesses in their site architecture, prioritise the pages that carry commercial weight, and build organic strategies measured against business outcomes rather than click counts.