SEO for SaaS
Own the category query — and the AI answer above it.
- Link targets mapped to category, comparison, and integration pages — not just the blog
- Guest posts and link inserts on publications your buyers read during evaluation
- A digital PR campaign built from your own product or market data
“Which [category] tools should I shortlist?”
If any of this sounds familiar
You rank for your brand and your blog, but not for the category term that actually converts.
Competitors appear in AI answers for "best tools for X" and you do not, so you never reach the shortlist.
You sit on usage data that would make a genuine news story, and nobody has ever turned it into one.
Every quarter you ship more content, and the category page still will not move.
Included with SaaS
SaaS buying now starts with a comparison query and an assistant. We build the authority that decides both: links into your category and integration pages, coverage from data only you have, and citations that get you named in the shortlist.
- Link targets mapped to category, comparison, and integration pages — not just the blog
- Guest posts and link inserts on publications your buyers read during evaluation
- A digital PR campaign built from your own product or market data
- Community placement on the Reddit, Quora, and Stack Exchange threads that rank for your terms
- AI visibility tracking across ChatGPT, Perplexity, Gemini, and AI Overviews
- Entity and knowledge panel cleanup so assistants can attach a recommendation to your brand
Campaigns we can show you
Real programmes with the numbers attached and a full write-up behind each one. Nothing here is an anonymised composite.
Northform
DR 38 to DR 62, and 184% more organic traffic in twelve months.
DataPulse
890 to 25,300 monthly visitors — B2B data analytics enters the top three.
LearnStack
5 million to 9.3 million monthly visitors — scaling an already-dominant domain.
What our customers think.
Why this agency owner stopped buying links in bulk
Agency OwnerSEO Agency · Link BuildingWatch the clip →How a DTC founder grew organic revenue with guest posts
E-commerce FounderDTC Brand · Guest PostsWatch the clip →A B2B SaaS team on earning editorial links that stick
SaaS Marketing LeadB2B SaaS · Editorial HAROWatch the clip →Why this fits SaaS
The money pages are the hard ones to link
Blog posts attract links naturally; category and comparison pages almost never do. That asymmetry is why so much SaaS content ranks while the pages that convert do not.
Evaluation happens where you cannot buy a link
Reddit threads, review round-ups and AI answers decide considered software purchases — and none of them sell placements.
Your data is an unspent PR asset
Aggregate product data is the most reliable coverage a software company can generate. Most never use it.
How it works
Page & query mapping
We map the category, comparison, and integration pages that carry revenue, and the queries — search and prompt — that decide who gets evaluated.
Baseline
Backlink gap against the competitors ranking above you, plus an AI visibility baseline showing who is named today and which sources the engines cite.
Build
Placements onto the mapped pages, a data campaign from your own numbers, and community coverage on the threads that already rank.
Re-measure
Monthly reporting on rankings for commercial terms and share of voice per answer engine — the two numbers that actually move pipeline.
What the first nine months look like
Authority compounds, so the shape of the work changes as it goes. This is the sequence, not a menu.
- Month 1
Map and baseline
Nothing is placed until we know which pages carry revenue and where the gap actually is.
- Category, comparison and integration pages mapped to queries
- Backlink gap run against the three competitors ranking above you
- AI visibility baseline across ChatGPT, Perplexity, Gemini, AI Overviews
- Months 2–4
Build the foundation
Placements start landing on the mapped pages, and the first data campaign goes into build.
- Guest posts and link inserts onto commercial pages, not the blog
- Community answers on the threads already ranking for your terms
- Entity and schema cleanup so assistants can resolve your brand
- Months 5–9
Compound and re-measure
The category terms start moving and the prompt set is re-run against the same baseline.
- Digital PR campaign pitched from your own product data
- Share of voice re-measured per engine, against month 1
- Anchor mix rebalanced as commercial pages gain authority
Three ways to solve this
Most SaaS teams have already tried one of the first two. Here is the honest comparison.
| In-house content team | Typical link agency | Dot Mirror | |
|---|---|---|---|
| Target pages | Blog posts, because they are the easiest to earn links to | Whatever the inventory allows | Category, comparison and integration pages, mapped first |
| Inventory quality | Whatever outreach lands | Marketplace lists sold to your competitors too | Traffic-verified only — DR alone is never enough |
| AI visibility | Not measured | Not offered | Tracked prompt set across four engines, monthly |
| Anchor strategy | Ad hoc | Per order | Planned across the whole campaign |
| What you can show the board | Published posts | A list of links | Rankings on commercial terms + share of voice per engine |
Common questions
Let’s scope it properly.
Tell us how you sell and what you have already committed to. We will tell you honestly what is worth doing first.