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AI agency for SaaS

Two questions decidemost SaaS deals now.

"Best tool for X" and "alternatives to Y". Both get answered before anyone visits your site, by a model reading review sites, comparison pages and, more often than teams expect, your own documentation.

Where the answer comes fromReview sites, comparison pages, docs, communities
ReportingShare of answer, plus trials and demo requests
Usual startFree audit across your category prompts
First movementTypically 6 to 10 weeks
What changes

You are being shortlisted before you know about it

  • Comparison pages
  • Alternatives pages
  • G2 and Capterra
  • Documentation
  • Changelog
  • Communities
  • Trial attribution
  • Category prompts

A buyer evaluating software asks a model for the options before they ask a colleague. The answer they get names three or four products, describes each in a sentence, and often gets one of the descriptions wrong. That shortlist forms with no form filled in and no analytics event fired, which is why most SaaS teams have no idea it happened.

Where does the model get it from? Review sites first, because they read as independent. Comparison articles second, including ones written by your competitors. Then communities, where a real person answering a real question carries more weight than any page you own. Your marketing site is somewhere below all of that.

The asset most SaaS companies overlook is their own documentation. Docs are specific, factual, structured and updated, which is close to a definition of quotable. They are also usually the one part of the site nobody has looked at from a visibility point of view.

The work

What we do for a SaaS product

  • Own the alternatives question

    Someone is writing "alternatives to your product" and it should sometimes be you. Done honestly, naming where a competitor is the better fit, these pages get quoted precisely because they do not read like marketing.

  • Comparison pages that make a call

    A comparison table with no recommendation is not an answer, and a model has nothing to lift from it. The page has to say who should pick which, and why, in a sentence that stands on its own.

  • Review-site presence

    G2, Capterra and their equivalents are quoted constantly. This is mostly not a writing job. It is a process job: getting real reviews from real customers on a steady cadence, and keeping your profile accurate.

  • Documentation as a citation asset

    Clear titles, answer-first opening lines, one idea per page, and the technical work to make it crawlable. Docs frequently start earning citations faster than the marketing site does.

  • Measured against pipeline

    Share of answer on your category prompts, and what happened after: trials started, demos booked. AI-referred sessions need their own attribution or they get filed under direct and disappear.

Asked about this

Questions we get from saas clients

Should we write "alternatives to us" pages?

Often yes, if you can be honest in them. A page that names the two competitors who fit a use case you do not serve reads as trustworthy, and models quote it for exactly that reason. A page that lists competitors and declares yourself the winner in every row reads as marketing and is ignored.

Do G2 and Capterra reviews affect AI answers?

They are among the most frequently cited sources for software recommendations, because they look independent and are structured for comparison. If a category question is being answered without you, checking who is on the review sites is usually the fastest way to find out why.

Our docs are on a subdomain. Does that matter?

It is workable but it splits the signal. A subdomain is treated as a related but separate property, so authority and entity signals do not pool the way they would in a subfolder. We would look at it, weigh the migration cost honestly, and often recommend leaving it alone.

How do we track visits that come from an AI answer?

Imperfectly, and anyone who tells you otherwise is selling something. Some engines pass a referrer, several do not, and much of it lands in direct traffic. We set up what can be captured, and pair it with share-of-answer tracking against a fixed prompt set so you have a real signal even when attribution is missing.

We are pre-revenue. Is it too early?

Usually yes, and we will say so. Nothing in this compounds until there are customers to review you and a category you clearly belong to. Come back when you have both.

Find out where AI sends your customers today.

We run your brand through the answer engines your customers use, then send you the transcript of what they say about you. Free, and yours to keep whether or not we work together.