B2B SaaS SEO: what we ship for SaaS companies

B2B SaaS SEO is the vertical we work in most. The mortgage CRM case study covered above is one specific B2B SaaS sub-vertical. The work generalizes to other B2B SaaS categories: HR tech, marketing tech, sales tech, finance tech, vertical SaaS in legal or healthcare-adjacent spaces.

NetPageTwo runs B2B SaaS SEO and AI search optimization at $497 a month. The work shape is consistent across SaaS verticals with vertical-specific overlays.

What we’ve shipped for B2B SaaS

Our most-documented B2B SaaS engagement is BNTouch (mortgage CRM). Verifiable numbers from 90 days of organic growth:

Organic sessions: 3,280 → 4,040 (+23%)
Organic clicks: 1,875 → 2,320 (+24%)
Organic form submits: 100 in 90 days
Demo requests from organic: 83 in 90 days

Read the full BNTouch case study →

The case study is mortgage-specific but the patterns apply to most B2B SaaS in similar growth stages.

What we ship for B2B SaaS companies

Standard 12-week sprint, generalized for B2B SaaS.

Week 1: Audit. Technical SEO baseline (crawl errors, indexability, schema gaps, Core Web Vitals on top pages). Schema audit. AI citation baseline across 5 engines for category-relevant queries.

Week 1-2: Schema deployment. SoftwareApplication schema with applicationSubCategory specific to the SaaS category. Multi-tier Offer schema with priceSpecification on the pricing page. Organization schema with sameAs to LinkedIn, Crunchbase, G2/Capterra/Trustpilot, Wikidata if available. FAQPage schema on commercial pages.

Week 2-3: Pricing page rebuild. For B2B SaaS, the pricing page is one of the highest-AI-query surfaces. Rebuilding with structured per-tier pricing markup, answer-first body copy, and FAQPage schema lifts citation rate for “how much does [product] cost” queries significantly.

Week 3-4: Commercial intent page rewrite. Features page, integrations page, primary commercial pages. Each rewritten in answer-first format. First 100 words of every commercial page answers the implied query.

Week 4-5: Blog content velocity. Two pieces per week. Mix of category-defining content, comparison content, and customer-problem-focused content. Content shape: answer-first, citation-dense, 1500-2000 words on average.

Week 5-6: Comparison content for top 5-10 competitors. Each /vs/ page rewritten in answer-first format with structured comparison schema (ItemList with Product items).

Week 6-7: Glossary and definitional content for category terms. Most B2B SaaS verticals have category-specific jargon. Glossary pages rank fast and get cited heavily by AI engines.

Week 7-8: Internal linking restructure. Money pages get proper internal link density from blog content. Hub pages aggregate content clusters. Author schema binds blog content to identifiable experts.

Week 8-9: Conversion path optimization. Demo request flow, trial signup flow, contact form flow. Friction audit, UX changes, A/B test plan if the client wants the Visibility + Revenue tier.

Week 9-10: Page speed and Core Web Vitals on top traffic pages. LCP target under 2 seconds.

Week 10-11: Citation density and entity binding. Wikidata where notability supports it. G2/Capterra review presence. Third-party comparison page audits.

Week 11-12: Quarterly content refresh on top pages by organic traffic.

What works specifically in B2B SaaS SEO

Five patterns from our engagements.

Pricing page as a citation target. The pricing page should be one of the top 3 most-cited pages on a B2B SaaS site. Structured pricing data + answer-first body copy makes it possible. Most SaaS sites under-invest here.

Comparison content for the 5-10 competitors prospects actually research. Comparison pages get cited by AI engines for “[client] vs [competitor]” queries, and they get cited by Google AI Overviews for “best [category]” queries. Highest commercial intent content type for B2B SaaS.

Glossary content for category-specific terms. Definitional queries have high volume and weak competition. We build 10-20 glossary entries per engagement in the first 90 days. Each gets cited heavily by AI engines because most category glossary content is shallow.

FAQ catalog (40-100 entries) on commercial pages. FAQPage schema is the highest-extraction format AI engines use. Buyers’ actual questions become citation targets.

Conversion optimization on existing organic traffic. On B2B SaaS sites with established traffic, the marginal value of conversion improvements often exceeds the marginal value of more traffic. The right work order: SEO foundation + AI search optimization first to lift traffic, then conversion optimization to convert it.

What doesn’t work for B2B SaaS SEO

Three failure patterns.

Generic “best [category]” content from sites without category authority. New SaaS brands trying to rank for broad category queries lose to established review sites and large publishers. The path is specific-comparison content, glossary, and FAQ, not generic listicles.

Overfocus on technical SEO. Page speed and Core Web Vitals matter but they’re hygiene, not strategy. SaaS companies that obsess over their LCP score while ignoring schema, content, and entity binding under-perform their competitors.

Hiring traditional SEO agencies for AI search work. Most SEO agencies haven’t built the AI citation playbook. The work shape is different (schema-heavy, entity-binding-heavy, answer-first writing patterns). Agencies that try to rebrand classic SEO as AI SEO produce traditional SEO results, not AI citation results.

What we charge

$497 a month, month-to-month, cancel anytime by email. No setup fees, no annual contracts.

The $1,297 a month Visibility + Revenue tier adds conversion optimization, measurement infrastructure, monthly conversion audit, quarterly A/B tests, and bi-weekly 45-minute calls. Recommended for B2B SaaS at 30+ employees where the conversion flow is mature enough to justify systematic optimization.

See full pricing →

When this fits

B2B SaaS companies that are:

5-50 employees (under 5 usually means founder-led and we have a different recommendation; over 50 usually has internal capacity)
$50K-$1M ARR (above $1M usually warrants in-house marketing leadership)
Have a product that’s been live for 6+ months (we want to optimize a working product, not validate a new one)
Commercial intent surface (pricing page, demo flow, comparison content) that buyers research before purchasing
6-12 month timeline for compounding organic growth

This doesn’t fit:

Pre-revenue startups (we’d recommend product-led growth motion first)
Enterprise SaaS at $50K+ ARR per customer (procurement-shape mismatch)
E-commerce or DTC consumer brands (different content economics)
Companies wanting “Google #1 rankings in 30 days” (we can’t honestly promise that)

The fit call covers honest fit assessment and what we’d ship in your first 90 days specifically.

Start ranking easier →