B2B SAAS SEO CONSULTANT
Get your B2B SaaS Ranked for buyer-intent queries and Cited when AI engines compare alternatives
B2B SaaS buyers compare three or four products before they sign up for a trial. They search for alternatives to your competitors, read AI engine summaries, and shortlist on the comparisons that show up in both Google and ChatGPT. If your product isn’t ranking on those pages or being cited in those AI answers, you’re missing trials you’ll never see in your funnel. I fix your search rankings and your AI citation presence so the right buyers find you first.
THE GAP
Why B2B SaaS products lose trials before the comparison stage
B2B SaaS buyers don’t read your homepage. They search for alternatives to your competitors, run AI engine queries to shortlist tools, and read comparison content from third parties before they sign up for any trial. If you’re not present in those alternatives pages, comparison searches, or AI citations, you’re invisible during the moment buyers actually decide. These are the three patterns I see most often when SaaS marketing leads tell me their organic traffic is fine but trial signups aren’t growing.
ALTERNATIVES INVISIBILITY
You’re missing from “[Competitor] alternatives” searches
B2B SaaS buyers searching “alternatives to HubSpot” or “Pipedrive alternatives for mid-market” land on third-party listicles, never on your site. Most SaaS products I audit don’t have dedicated alternatives pages built for their three or four largest competitors. The buyers running these searches are the highest-intent traffic in your funnel, already convinced they need to switch tools. If you’re not on those pages, you’re letting your competitors decide which alternatives buyers see.
USE-CASE CONTENT GAP
You rank for features, not the outcomes buyers search for
SaaS buyers search “how to forecast SaaS revenue” or “project management software for marketing teams.” They don’t search “analytics dashboard” or “task management features.” Most SaaS sites are built to rank for feature names, which means they show up for low-intent informational queries instead of high-intent commercial ones. The fix is dedicated use-case pages mapped to your ICP’s actual buying triggers, with content depth on workflows, integrations, and outcomes specific to that audience.
AI COMPARISON GAP
AI engines compare your competitors and skip you
When a buyer asks ChatGPT or Perplexity to compare CRMs for mid-market or recommend project management tools for marketing teams, your competitors get named and you don’t. According to a March 2026 Averi benchmark across 680 million AI citations, only 11% of domains are cited by both ChatGPT and Perplexity, meaning you can be visible on one platform and invisible on the other. SaaS buyers cross-reference both. Entity work, schema deployment, and citation engineering close this gap.
THE FIX
Two services, one outcome: B2B SaaS buyers find you on every comparison page
AI Visibility
Search Visibility
See where you stand in 5 days
The $397 spot-check delivers five prioritised fixes with no sales call attached.
THE PROOF
B2B SaaS case studies built on the same architecture I deploy
The lead case study is from a Canadian micro SaaS where I built search rankings and AI visibility in the same engagement, the exact dual-pillar approach this page is selling. The second is from a proptech vertical SaaS, showing what happens when content strategy and technical SEO compound over six months. The third is a Canadian MSP, included as methodology proof for how topical authority works for B2B service categories. All three use the same content architecture I deploy for vertical, workflow, and mid-market B2B SaaS.
B2B MICRO SAAS
85K impressions and 17,900+ AI citations from one engagement
A Canadian finance-focused micro SaaS where I built search rankings and AI visibility together in the same engagement. The search side: 85K impressions and Page 1 rankings (average position 10.2) within five months from a cold start. The AI side: 17,900+ Microsoft Copilot citations in 90 days from entity consolidation, schema deployment, and citation engineering. Both outcomes from the same content architecture, the same methodology, the same consultant. This is the dual-pillar case study, and it’s the same approach I deploy for B2B SaaS clients building search and AI visibility together.
B2B VERTICAL SAAS
65% impression growth for a Canadian proptech platform
A vertical SaaS platform serving the commercial real estate market in Canada. Technical SEO foundation, content strategy targeting commercial real estate software queries, and consistent link building over six months. Result: 65% increase in search impressions, 24% growth in organic clicks, and average ranking position improved by six spots across all targeted keywords. The same methodology works for any vertical SaaS competing for buyer-intent queries in their category, especially in markets where established players dominate generic searches but vertical-specific queries are still winnable.
B2B MSP
15x keyword growth in 18 months
A Canadian MSP serving healthcare and finance verticals built systematic topical authority around managed services and threat detection. The same content architecture works for B2B SaaS companies building authority on use cases, integrations, and ICP-specific outcomes. Different category, identical methodology.
WHY ME
Why B2B SaaS companies hire me to handle both pillars
B2B SaaS funnel fluency
Fifteen years of B2B SEO work, including direct case studies in vertical SaaS and micro SaaS engagements. I know the difference between content that ranks for “what is project management software” and content that ranks for “Asana alternatives for marketing teams.” One drives traffic that rarely converts. The other drives trial signups from buyers actively comparing tools.
Every algorithm shift since 2010
That includes Panda, Penguin, Medic, HCU, and the AI-search transition that’s reshaping how SaaS buyers compare and shortlist tools. What works long-term is methodology, not tactics. That’s what I bring to every B2B SaaS engagement.
You work with me, not a team
No account manager, no junior strategist, no handoff. The person scoping your AI visibility audit is the same person writing your alternatives pages and reviewing your schema implementation. Senior consultant decisions on every line item, applied to a category where generic SEO playbooks produce traffic but not trial signups.
QUESTIONS
Questions B2B SaaS founders and CMOs ask before hiring me
What’s included in the $397 AI Visibility Spot-Check?
You get an entity audit across Wikidata, Wikipedia, Crunchbase, G2, Capterra, ProductHunt, and Reddit, a schema review of your top ten commercial pages including alternatives and comparison pages, AI visibility testing across ChatGPT, Perplexity, Gemini, and Copilot for five agreed buyer-intent queries (alternatives, comparisons, or use-case searches), a competitor citation gap, and the top five prioritised fixes ranked by effort and impact. Delivered as a Loom walkthrough and PDF report in five business days. No live call required.
Our content team writes blog posts. What does this work add?
Most SaaS content teams write top-of-funnel blog posts and “ultimate guides” optimised for traffic that rarely converts to trials. The work I do sits at the bottom of funnel: alternatives pages, comparison content, use-case landing pages mapped to your ICP’s actual workflows, and AI engine visibility for category comparison queries. These aren’t blog posts. They’re commercial pages that rank for high-intent queries and drive trial signups. Your content team probably isn’t building them because the work requires a different skillset (positioning differentiation, competitive research, schema deployment) than blog content. Both layers matter, but if you only have one, you’re missing pipeline.
Why work with a B2B SaaS SEO consultant instead of a general SEO agency?
General agencies spend the first three months learning your category, your buyers, and the difference between PLG, sales-led, and hybrid go-to-market motions. By then a B2B SaaS SEO consultant has already published your alternatives pages, deployed schema across your product and pricing pages, and tested AI visibility across four engines for your category’s comparison queries. Generic SEO agencies also tend to write content for “lead generation” rather than trial signups, which produces traffic from buyers who never sign up. You skip the onboarding tax and get output that matches how SaaS buyers actually research and purchase software.
How long before we see trial signups from organic?
Trial signups from organic typically start moving in three to four months for B2B SaaS, with measurable acceleration from month five onwards once your alternatives pages, comparison content, and use-case landing pages are deployed and ranking. SaaS has a structural advantage compared to other B2B categories: the queries are commercial-intent and the buyer is already self-qualifying through search behaviour. AI visibility moves faster, with citation changes appearing in four to six weeks for entity and schema work. Topical authority on use cases, integrations, and category positioning compounds over six to twelve months. I’ll tell you upfront which of your buyer-intent queries will move fast and which need a full year of methodology work.
Our largest competitors dominate Google. Can we still compete?
Yes, but the strategy depends on your positioning. Incumbents like HubSpot, Salesforce, and Zendesk dominate generic category queries because they’ve built mature backlink profiles and decade-long topical authority. They lose ground on three things: alternatives queries (where buyers actively want non-incumbent options), use-case-specific searches (where vertical and workflow specialists outrank them), and AI engine comparisons (where the playing field is more current and less determined by historical authority). The structural opportunity in SaaS SEO is that specificity beats scale on the queries that actually drive pipeline.
We have an in-house marketing team. Why not just have them do this?
You can. Some SaaS companies do. The question is whether your team has built dedicated alternatives pages for your top three competitors, deployed schema for SaaS product types and pricing tiers, configured an LLM.txt file for AI engine consumption, and tested across four AI engines for your category’s comparison queries on a defined cadence. Most in-house SaaS marketing teams haven’t, because the bottom-of-funnel commercial work requires a different skillset than blog content and product marketing. The $397 spot-check is built so you can see exactly where your team has gaps without committing to a full engagement.
