Your rankings are climbing. Blog traffic looks healthy in the monthly report. But signups? Flat. If that sounds familiar, you’re not alone.
I’ve worked in SEO since 2012, and I’ve helped many companies get visible in search engines, and these days in AI assistants like ChatGPT too. If there’s one thing I want every SaaS founder to take away from this article, it’s this: traffic is not the goal. Signups are.
A SaaS SEO strategy that drives signups works backward from the people who could actually become customers. In this guide I’ll walk you through how I would build one: which keywords to go after first, what content to create, how to show up in AI search, which technical issues to fix, how to earn links, and how to measure what matters. Let’s dig in.
A SaaS SEO strategy is a plan for winning organic search traffic that turns into trials, demos and paying customers. It decides which searches you target, which pages you build for each stage of the buyer journey, how you keep your site easy for search engines to crawl, and how you measure signups instead of rankings.
The difference with a “normal” SEO strategy is the finish line. A traffic strategy is done when the graph goes up. A signup strategy is only done when the new visitors start using your product.
That one change in focus affects every decision that follows: which keywords you pick, what you write, which pages you link to, and what you report to your leadership team.
Yes. Organic search is still the dominant source of website visits, and visitors who come from AI assistants convert unusually well. What has changed is the bar: AI Overviews take clicks away, so you need content and a brand that both search engines and AI tools want to point to.
Let’s look at the numbers. In Semrush’s study of billions of web visits across more than 50,000 websites, organic search generated over 1 trillion visits in 2025 and remains the dominant traffic source. In the same Semrush study, AI traffic grew 66% during 2025, but still accounts for less than 0.15% of total web visits.
Small, but valuable. At Ahrefs, traffic from AI assistants generated 12% of signups while accounting for only 0.5% of traffic, and Ahrefs reports that for its own site, AI search visitors convert 23x better than traditional organic search visitors. Semrush found that the average AI search visitor (tracked to a non-Google search source like ChatGPT) is 4.4 times as valuable as the average visit from traditional organic search, based on conversion rate.
There is a catch, though. According to Ahrefs’ research, AI Overviews reduce clicks to websites by 34.5%, and 26% of brands have zero mentions in AI Overviews.
So no, SEO isn’t dead. But the easy wins are gone. Thin, generic content gets squeezed out by AI answers. The pages that win are the ones that give people something they can’t get from a quick summary, and the brands that win are the ones AI tools recognize and mention.
Most SaaS keyword lists are sorted by search volume. That’s how you end up with a blog that educates thousands of people and converts almost none of them. Sort your keywords by buying stage instead.
Marketers split the buyer journey into three stages, usually shortened to TOFU, MOFU and BOFU (top, middle and bottom of the funnel):
You need all three. The middle and bottom bring the signups. The top builds the topical authority that helps those pages rank in the first place.
Here is a simple scoring method I like, because anyone on your team can use it:
Start with the highest scores and work your way down. It’s not perfect, but it forces the right conversation: will this keyword bring people who could become customers?
If you want to brush up on the basics first, read my guide to keyword research for SEO.
Topical authority means covering a subject so completely, with connected articles, that both readers and search engines see your site as the place to go for it. For a churn analytics product, that means owning everything about customer churn: the causes, the metrics, prediction models, win-back campaigns and exit surveys.
Google is very clear about what doesn’t help. In its guide to optimizing for generative AI features on Google Search, Google describes commodity content (for example, something like “7 Tips for First-Time Homebuyers”) as content that is often based on common knowledge and typically adds little unique insight for readers. Non-commodity content, in Google’s words, provides unique expert or experienced takes that go beyond common knowledge and the ordinary.
That’s the bar. If ChatGPT could write a near-identical article from a one-line prompt, you’re giving Google no reason to prefer yours.
For a SaaS company, non-commodity content usually looks like this:
Google’s guidance on creating helpful, reliable, people-first content explains that its automated systems identify a mix of factors to find content that demonstrates aspects of experience, expertise, authoritativeness, and trustworthiness (E-E-A-T), and that of these aspects, trust is most important.
In practice, that means:
To organize all of this into pillar pages and supporting articles, see my guide to topic clusters.
Content that ranks and content that converts are not always the same thing. The difference usually isn’t SEO. It’s whether signing up feels like the logical next step after reading.
Product-led content is educational content where your product shows up as a natural part of the solution. Say you write a guide on reducing customer churn. At each step, you show how that step works inside your own dashboard. The reader learns something genuinely useful and sees exactly where your tool fits. That’s very different from a “Try us free” banner bolted onto the bottom of a generic post.
Comparison and alternative pages catch buyers at the moment of decision. A few rules I’d stick to:
Calculators and interactive tools, such as a churn cost calculator, give readers a personal result. That’s a much stronger reason to sign up than a generic conclusion, and these tools tend to attract links too.
Today I also help companies get visible in AI assistants: tools like ChatGPT and Perplexity that are built on large language models (LLMs). The basics overlap with good SEO, but a few things deserve extra attention:
Technical SEO is everything that decides whether search engines can crawl, understand and show your pages. SaaS sites have more ways to get this wrong than most: JavaScript-heavy pages, separate marketing sites and apps, and staging environments that end up in search results.
Speed is a good example. When Siege Media audited the best 100 SaaS companies in a study published in 2023, 48% of SaaS businesses’ homepages failed Core Web Vitals on desktop or needed to improve a majority of their Core Web Vitals features. Core Web Vitals are the page speed and stability scores Google reports. If the top SaaS companies struggle with them, it’s worth checking yours.
These are the SaaS-specific issues I’d check first:
For the technical factors that matter most, see the 10 most important ranking factors for technical SEO.
Links from respected, relevant websites still matter, especially for the competitive middle- and bottom-of-funnel keywords where every competitor is fighting for a spot. You don’t need a huge number. You need the right ones.
What tends to work for SaaS companies:
One link from a publication your buyers trust is worth more than fifty links from blogs nobody reads. And please, never buy links. It’s a shortcut that can cost you far more than it saves.
For more tactics, see my link building strategy guide.
Most SaaS companies report rankings and traffic, and then wonder why leadership doesn’t see the value. The problem usually isn’t the strategy. It’s the measurement.
Track your SEO through six layers, where each one feeds the next:
Most teams stop at the second layer. The ones that keep their SEO budget track all six.
To get there, a few foundations help:
When you build the business case for leadership, use your own numbers: compare your cost per lead from organic with your cost per lead from paid campaigns, and show how organic leads keep coming after the content is published, while paid leads stop when the budget stops.
Longer than paid ads, and that’s normal. The first phase is groundwork: fixing technical issues, choosing keywords and publishing your first pages. Early rankings usually come from long-tail, lower-competition terms. Signups from the bigger comparison and product keywords follow later, once your topical authority and links have had time to build up.
Track progress against milestones instead of monthly traffic targets. A month in which three middle-of-funnel keywords reach page one is worth more than a traffic spike from a viral post that brings in zero signups.
If you do one thing this month, sort your keyword list by buying stage and pick the five middle- and bottom-of-funnel keywords with the highest score. Build those pages first, make them genuinely useful, and measure the signups they bring. Then add the content only your team can write, fix the technical basics and start earning links. That’s how SEO turns into a signup engine instead of a traffic report.
Want help building a SaaS SEO strategy that drives signups, not just traffic? Get in touch with me.
A note on how I write: I use AI tools as part of my writing process, for example to help with research, drafting, and checking spelling, grammar and punctuation. Every article is reviewed by me before it’s published, and every statistic links to its source.
