Why Your SaaS Isn't Being Recommended by AI — And What the Data Says

A CTO opens Claude and types: "best project management tool for a 50-person tech startup in Asia." Claude gives a confident, specific answer. Your product is not in it. Here's why — and the exact B2B GEO framework to fix it.

The B2B Buying Journey Has Changed Faster Than SaaS Marketing Has

SaaS growth playbooks were written for a world where buyers Google features, read G2 reviews, and compare pricing pages. That world still exists — but there's now a first step most buyers are taking before any of that: they're asking AI.

Before a procurement manager opens a browser tab to search for HR software, they've already asked ChatGPT or Gemini "what's the best HR tool for a company our size?" The AI's answer pre-selects their shortlist. If you're not in that answer, you're not on the shortlist — before you ever had a chance to compete.

This pre-Google AI query is where B2B sales are being won and lost in 2026. And almost no SaaS company has a strategy for it.

Why SaaS Companies Score Low on GEO — Despite Good SEO

SaaS companies typically invest heavily in SEO. Long-form comparison content, feature pages, PPC, review site profiles. All of this is built for Google's ranking algorithm. Almost none of it is built for AI entity recognition.

The core problem: AI engines don't rank pages, they identify categories and cite authorities. When Claude is asked "best CRM for B2B SaaS in Asia," it looks for the clearest, most authoritative entity that matches the query. Most SaaS sites describe themselves in 20 different ways across 40 different pages — never clearly claiming a specific category.

The Asian Engine Blind Spot in SaaS GEO

Most SaaS companies targeting Asia have no presence on Qwen, Hunyuan, Kimi, or DeepSeek. This matters enormously because enterprise buyers in Singapore, Malaysia, and Greater China are increasingly using these engines for procurement research — particularly for tools deployed in Chinese-language environments.

A SaaS company that appears in Qwen's recommendations for enterprise B2B tools in Asia has a significant advantage over competitors who have focused only on English-language AI optimisation. Right now, that advantage is essentially unclaimed — almost no SaaS company has any deliberate Qwen or Hunyuan presence.

The SaaS GEO Playbook: 6 Specific Actions

1. Lock your category sentence. One sentence that describes exactly who you are and who you serve. "We are the best [X] for [Y] in [Z]." Use this exact sentence in your homepage H1, your schema description, your Crunchbase summary, your G2 tagline, and every press release. Repetition across authoritative sources is how AI builds confidence in your entity.
2. Add SoftwareApplication schema. This JSON-LD type is read directly by AI engines — it includes applicationCategory, operatingSystem, target audience, and pricing. Add it to your product page alongside your Organisation schema.
3. Optimise your G2 and Capterra profiles. These are primary sources for AI training data on software. Ensure your description, use cases, and industry categories exactly match your category sentence. Inconsistency between G2 and your website creates entity confusion.
4. Publish a case study on a high-authority tech platform. TechCrunch, Tech in Asia, e27, KrAsia — AI training data weights these heavily. A case study titled "[Your Product] Helps [Customer Type] Achieve [Result]" with your category statement in the lead paragraph is worth more for GEO than ten blog posts on your own domain.
5. Create a "Best [Category] Tools in Asia" comparison page. Counter-intuitive but effective — if you write the authoritative comparison page for your category (including competitors), AI engines cite that page, which establishes you as the category authority. Position yourself as #1, explain why with specifics.
6. Chinese-language content for Asian engine visibility. One Chinese-language summary of your product — even just 500 characters — published on Zhihu or as a WeChat article, dramatically improves your Qwen and Hunyuan scores. This is the fastest Asian engine win available.

Measuring B2B GEO Progress

Unlike B2C GEO where customer queries are relatively predictable, B2B buyers ask AI highly specific use-case questions. Run GEOmeter weekly with three query types: your category name alone ("best CRM for SaaS Asia"), your use case + customer type ("CRM for B2B sales teams Southeast Asia"), and your competitor comparison ("[Your Product] vs [Competitor]"). Track which engines are citing you across all three — the full picture requires all three query types.