SaaS SEO Checklist: What to Do, in Order

Most SaaS SEO checklists are a flat list of forty items with no weighting, which is why they get bookmarked and never finished. Adding alt text and building domain authority appear as two adjacent bullets even though one is twenty minutes and the other is the entire programme.

This one is grouped by how long the work actually takes and what it blocks. The link section at the end carries numbers from our own prospecting rather than the usual hand-wave, because that is the part where most SaaS teams stall.

How to use this checklist

Run the blocks in order. Each one removes a reason the next block would fail, and skipping ahead is the single most common way a SaaS site ends up with eighty published posts and no traffic.

Mark each item as either a single sitting or ongoing. Only two of the four blocks are ever finished, and pretending otherwise is what produces the quarterly panic where somebody asks why the blog is not working.

Foundations: the floor everything else stands on

This block is a single sitting for most SaaS sites, and it is worth doing before you write anything. None of it makes you rank. All of it stops you from being unable to.

• Confirm the site is indexable: no stray noindex on templates, no robots.txt rule blocking the blog directory.
• Pick one canonical host and redirect the other three variants to it, including the trailing slash form.
• Verify the property in Search Console and submit a sitemap. Without this you are guessing for the next six months.
• Check that your marketing pages render server-side. A React app that returns an empty shell to a crawler is the most expensive bug on this list.
• Set one page-title pattern and one meta-description pattern, then stop thinking about them.

If your app and your marketing site share a domain, decide now whether logged-in routes are excluded. Retrofitting that decision after a few thousand app URLs are indexed is a cleanup job nobody wants.

Keyword and page-type work

The mistake here is picking keywords without deciding what kind of page wins them. Google has already told you the answer on every query you care about: look at what is ranking, and count the page types.

• Pull the twenty terms your product would be bought under, not the twenty with the most volume.
• For each, open the results and write down the format of the top five. Listicle, service page, documentation, forum thread, or tool.
• Drop any term where the winning format is something you cannot credibly make.
• Group what is left into clusters that would share a page rather than compete for one.
• Write the page type next to each cluster before anyone starts drafting.

We ran this exercise on our own market and it saved a quarter of wasted writing: several terms that looked soft on every difficulty metric were held entirely by page types we had no business publishing. A soft-looking term with the wrong format is not an opportunity.

The four page types that earn SaaS traffic

Almost everything that works for a SaaS site is one of four shapes. Anything outside them needs a reason.

• Comparison and alternative pages. Highest intent, hardest to rank, worth the most. Build them anyway.
• Use-case and job-to-be-done pages. The searcher is doing the task your product does, which is the closest thing to free qualification.
• Original-data posts. The only reliable way to earn links without asking, because people cite numbers.
• Reference and glossary pages. Low traffic each, cheap to make, and they are what gets quoted when an assistant answers a question in your category.

Notice what is missing: general advice posts about your industry. They are the default output of most content programmes and the least likely to be read by anyone who could buy.

Technical checks worth your time

The technical SEO industry has an incentive to make this block look enormous. For a normal SaaS site it is short.

• Largest Contentful Paint under two and a half seconds on the pages you actually want ranked, measured on mobile.
• No layout shift from a late-loading banner or cookie bar.
• Internal links that a crawler can follow, meaning real anchors with an href, not click handlers.
• One h1 per page, and headings that describe the section rather than the brand.
• Structured data where it is true: Article on posts, FAQPage only if the questions are on the page.

Anything past this is optimisation of things that were not the constraint. If you cannot point at the query you are losing and say why a technical fix wins it, it is not on the critical path.

The link section most checklists hand-wave

Every SaaS SEO checklist ends with "build high quality backlinks" and stops there, because the honest version of that sentence is long and unglamorous. Here is the honest version.

• Decide what a link is worth to you before you buy or ask for one, in the specific terms of the pages it would help.
• Build a prospect list from the sites that already rank for your clusters, not from a bought database.
• Find a real person and a real reason to write to them. A pitch that could have been sent to any site gets the reply rate it deserves.
• Expect most of the pipeline to die. Planning for that is the difference between a programme and a disappointment.
• Track replies, not just links, because replies are what tell you the targeting is wrong before three months have gone.

If you want the longer version of this block, our link building checklist is the same idea at the campaign level, and link building for B2B SaaS covers the targeting question in detail. If you would rather not run it yourself, managed link building sets out what a provider should own, and an autonomous SEO agent is what it looks like when the loop runs on a schedule.

What prospecting 20,181 domains actually looks like

Because we run outreach as a product, we can put numbers on the part of the checklist everyone else estimates. Between 10 March and 4 September 2026 our agent evaluated 31,075 prospect sites across every workspace on the platform, covering 20,181 distinct domains, and kept 27,193 as worth contacting.

The distribution of those sites by Ahrefs DR is the number worth internalising, because it contradicts the usual advice to go after easy sites:

Two things follow. First, the sites that publish in your space are mostly stronger than a young SaaS domain, so the gap you are closing is real and a monthly link target invented at a whiteboard will not close it. Second, the "no DR recorded" bucket is 5,282 sites, and treating a missing value as a zero is how prospect lists quietly fill with junk.

Of the 20,181 domains evaluated, 11,853 were actually emailed. The gap between those two numbers is contact finding failing, not qualification: plenty of sites are worth pitching and have no reachable human on them.

A realistic monthly cadence

The unit to plan in is not links per month, it is prospects surfaced per run. Across 1,531 completed autopilot runs, the median run surfaced 6 prospects worth contacting and 201 runs surfaced none at all.

That is the shape of the work. A month is a number of runs, each producing a handful of genuine targets, most of which go nowhere. Planning backwards from a link target instead produces the familiar failure where somebody starts emailing sites they would never have chosen, because the spreadsheet needed filling.

What to skip

Directory submissions past the first afternoon. They are worth doing once, and we counted exactly what 22 AI directories actually ask for so nobody has to do it twice.

Keyword difficulty scores as a build decision. They are a blend of things that do not describe your specific site, and we have measured cases where a friendly score sat on a page one of domains nobody at our weight could pass.

Publishing volume as a goal. Four pages that match the winning format beat forty that do not, and the forty cost more to maintain.

Frequently asked questions

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