SEO for SaaS

SaaS SEO that answers to signups, demos, and pipeline

I am a developer who does SEO. I find what is hiding your product from Google and AI assistants, write the tickets, and can write the fix myself. You work with me directly, from the first crawl to the monthly report.

The short answer

What do SaaS SEO services include?

SaaS SEO services should make sure crawlers and AI assistants can read your product pages, build the comparison, alternatives, integration, and use case pages buyers search before they sign up, and report results in signups, demos, and pipeline instead of sessions. Ravana Solutions provides SaaS SEO services to software companies across the US from Norfolk, Virginia. The work is done by its founder, Nick Mangubat, a developer with about 8 years of full stack SEO who runs every audit on Raptor, his own open source crawler written in Rust, writes developer ready tickets or the code itself, and publishes original research on how AI search chooses its sources.

Where SEO breaks for SaaS

These are the problems that keep a SaaS site from turning search into signups. Most of them never show up in a rank tracker.

01

Content that only exists after JavaScript runs

If your pricing table, feature copy, or docs render in the browser, Googlebot has to queue the page for rendering, and many AI crawlers never run the script at all. Hydration errors and client side routing make it worse. I check what each crawler actually receives, not what your browser shows.

02

A site split across subdomains and frameworks

Marketing on Webflow or Next.js, the app on its own subdomain, docs on a docs platform, the blog somewhere else. Each one ships its own sitemap, canonicals, and internal links, and authority leaks between them. I map the whole estate and decide what should be indexed, and where.

03

Missing bottom of funnel pages

Buyers search for comparisons, alternatives, integrations, use cases, and pricing before they book a demo. If those pages do not exist, or the pricing page cannot be indexed, a competitor or a review site answers the question for you.

04

A blog that brings traffic and no trials

Top of funnel posts can rank for years without producing a signup. I look at which posts lead readers to product pages and conversions, then fix the internal links and calls to action, or recommend you stop writing that kind of post.

05

Organic traffic nobody can tie to revenue

If GA4 and your product analytics disagree about where signups come from, organic gets no credit and no budget. I set up attribution from landing page to signup, trial, or demo, so the report shows pipeline, not sessions.

06

AI assistants recommending your competitors

When a buyer asks ChatGPT, Claude, or Perplexity for the best tool in your category, the answer is built from pages the assistant can read and sources it trusts. If your site is hard to read or nobody cites it, you are left off the shortlist.

What I do about it

Technical SEO

A crawl and render audit across the marketing site, app, docs, and blog, with developer ready tickets for rendering, canonicals, sitemaps, and internal links.

Technical SEO service →

AI search visibility

A fixed prompt set tracked across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, so you can see when you are named, when a competitor is, and which pages get cited.

AI search visibility service →

Programmatic SEO

Integration, use case, and comparison libraries built from your own data, with quality thresholds so you never ship thousands of thin pages.

Programmatic SEO service →

The AI search angle for SaaS

Software buyers now ask an assistant for a shortlist before they open a results page. The assistant reads your site, review sites, community threads, and documentation, then names two or three products. Being one of those names depends on whether the assistant can read your pages without JavaScript, whether your category and use cases are stated plainly, and whether other sites describe you the same way you do.

I measure this with a fixed set of prompts your buyers would type, tracked across the major assistants every month. I cannot promise a citation. I can show you where you stand, which competitor pages get cited instead of yours, and what changed after each fix.

A typical first 90 days

01

Audit and baseline

Days 1 to 30

Crawl and render analysis across every subdomain, a Search Console and GA4 review, an attribution check from landing page to signup, and an AI visibility baseline for your prompt set. You get a prioritized ticket list your developers can start on.

02

Fix the foundation

Days 31 to 60

Rendering, canonical, sitemap, and internal linking fixes ship first. In parallel, I brief or build the first bottom of funnel pages: comparisons, alternatives, and integrations.

03

Build and measure

Days 61 to 90

More bottom of funnel pages go live, the blog gets linked into product pages, and the first monthly report shows indexation, AI visibility, and organic signups against the baseline.

What I report on

TrialsSignupsDemos bookedPipelineActivation
Proof, not promises

Built on my own tooling and research

I do not rent the audit. Raptor is the open source SEO crawler I wrote in Rust, with 128 checks covering rendering, indexation, structured data, and performance. My field report on generative engine optimization uses data from a live client, a regional veterinary practice, to show how ChatGPT and Google AI Mode choose the sources they cite.

128

Checks in Raptor, the open source crawler I wrote in Rust.

5

AI search engines on every prompt set: ChatGPT, Perplexity, Gemini, Claude, and Google, where I check both AI Overviews and AI Mode.

1

Senior person on your account. Me, from the first crawl to the monthly report.

81

qualified leads in the last twelve months for W.M. Stone, a Norfolk logistics company, which went from 0 to 152 organic keywords since launch

The reporting, on a client outside software

W.M. Stone is a B2B logistics company, not a software company, and I say so plainly. What carries over is the reporting: the number that matters is leads from the site, not sessions. For SaaS that number is signups, demos, and pipeline. My first software case studies will come from the founding client program.

What this is not

  • Not a content mill. I write briefs and strategy; your team or a writer you choose writes the content.
  • No guaranteed rankings or AI citations. I measure and report instead.
  • No link schemes and no bought mentions.

Frequently asked questions

What do SaaS SEO services include?

SaaS SEO services should make sure crawlers and AI assistants can read your product pages, build the comparison, alternatives, integration, and use case pages buyers search before they sign up, and report results in signups, demos, and pipeline instead of sessions. Ravana Solutions provides SaaS SEO services to software companies across the US from Norfolk, Virginia. The work is done by its founder, Nick Mangubat, a developer with about 8 years of full stack SEO who runs every audit on Raptor, his own open source crawler written in Rust, writes developer ready tickets or the code itself, and publishes original research on how AI search chooses its sources.

How much does SaaS SEO cost?

With me, a Technical SEO + AI Search Audit is priced from $3,500, the Advisory retainer is $2,500 a month, and the Growth retainer, which adds hands on implementation, is $4,500 a month. Retainers start with a 3 month term, then go month to month. Every price is published on the consultation page.

How long does SaaS SEO take to show results?

Technical fixes such as rendering and indexation can show up within weeks of Google recrawling the pages. New bottom of funnel pages usually take several months to earn steady rankings on competitive terms. AI citations can move faster: in my field report, new content typically appeared in AI citation sources within 2 to 4 weeks. I baseline everything on day one so you see the trend instead of guessing at it.

Should a SaaS company hire a SaaS SEO agency or a consultant?

A SaaS SEO agency makes sense when you need a large volume of content produced every month. A consultant makes sense when the problems are technical, your team already has writers or developers, and you want one senior person accountable for the plan. I work as the second kind: no account managers, no junior team, and I can work in your repo or review your pull requests.

Do you work with our developers or do the work yourself?

Both. On the Advisory retainer I review tickets and pull requests and your team ships. On the Growth retainer I implement up to about 15 hours a month myself: code changes, templates, schema, and content briefs. I write TypeScript and Next.js and work in most modern frontend stacks.

What SaaS pages should we build first for SEO?

Usually the pages closest to a purchase decision: comparisons with named competitors, alternatives pages, integration pages, use case pages, and an indexable pricing page. They have less search volume than top of funnel topics, but the people searching them are already choosing a tool.

Start with a free 30 minute call

Tell me what your site runs on and what organic search should produce in signups and demos. If there is a fit, you get a scoped proposal with a fixed price within 2 business days. If not, I will say so on the call.

Book a consultationSee pricing