What does a SaaS SEO agency actually do?
A SaaS SEO agency grows qualified signups and pipeline from search, not just sessions. In practice that means owning the bottom-of-funnel pages software buyers compare on (your /vs, /alternatives, integration, and use-case pages), building product-led and buyer-question content that ranks, fixing the technical and programmatic layer so hundreds of those pages scale cleanly, and earning the third-party citations that authority depends on. We do all of that and, because the same pages now feed AI answers, we track whether ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews cite you in software shortlists, weekly.
How is SaaS SEO different from regular SEO?
The mechanics overlap; the targets don't. Regular SEO often optimizes for traffic against a few head terms. SaaS SEO optimizes for product signups against the high-intent pages a buyer hits right before they pick a tool: comparisons, alternatives, integrations, pricing, and use cases, plus the PLG intent terms a self-serve motion lives on ('free [category] tool', '[category] free trial'). The content source is different too. The best SaaS content comes from your product, sales calls, and support tickets, not a keyword tool, and for technical buyers your developer docs and API reference are ranking and citation assets in their own right. And the funnel is bottom-weighted, because a 'best CRM for startups' page converts far harder than a generic blog post on the same topic.
How much do SaaS SEO services cost?
It depends on how much of the program you run in-house. A focused engagement on comparison real estate and technical fixes sits lower; a full program covering content, programmatic page builds, off-site citations, and AI-answer measurement sits higher. We scope to the gap the audit surfaces rather than sell a fixed retainer, and we tell you honestly after the first audit whether you need the full program or a single track. Pricing is custom.
How does AI search change SaaS SEO?
It raises the stakes on the pages you were already supposed to own. When a buyer asks 'best [category] software for [segment],' the model assembles its shortlist from comparison pages, G2 and Capterra category grids, and community threads, the same surfaces bottom-funnel SaaS SEO targets, and it leans on review-site signals like Leader and High Performer placement to break ties. So the work converges: a well-built /alternatives page now has two jobs, ranking on Google and getting cited in the answer. The difference is whether anyone is measuring the second job. Most agencies can't see it.
How do you measure SaaS SEO results?
To pipeline, not to a rankings dashboard. We track organic signups and demo requests by landing page, branded-search lift, and where AI search is in scope, citation share: the percentage of priority buyer prompts where your brand is named in the AI answer across all five engines. Rankings and traffic are inputs we watch, but the report leads with the revenue line.
Should we hire a SaaS SEO agency or build the team in-house?
If you have a senior SEO lead who already understands PLG funnels and can staff content and engineering against a roadmap, in-house usually wins on context. Most teams don't, and the cost of a year of generalist SEO that never touches the comparison pages is higher than it looks. We plug in alongside a strong in-house team without duplicating work, or run the whole program when there's no one to own it. The audit tells you which model fits.