GEO guide by sector · B2B SaaS

B2B SaaS: how to get recommended by ChatGPT, Gemini and Claude

Updated 27 September 2026

B2B buyers ask AIs to draw up a first shortlist: “which scheduling software for a 50-person company, hosted in the UK?”. Making that list means being present on the software review sites, publishing pages that answer specific use cases and making your key information verifiable.

What AIs check before recommending software

Software review and comparison platforms: G2, Capterra, GetApp, Appvizer.
“Best software for…” and “alternatives to…” articles published by media outlets or blogs.
Your website: feature pages, use cases, pricing, integrations, documentation.
Forums and communities where users swap notes.
The integration marketplaces of the tools you connect with.

B2B questions are packed with criteria (company size, hosting, integrations, budget). The AI shortlists the solutions whose pages explicitly answer those criteria.

Pages to create on your website

One page per use case and per target sector, with concrete examples.
A public pricing page, showing what each plan includes.
An integrations page listing the connected tools and how they connect.
A security and compliance page: hosting, GDPR, certifications you have actually obtained.
Factual, dated comparison or “alternative to” pages, with no disparagement: comparative advertising must be objective and verifiable (this is a legal requirement in France, among other places).
Public, indexable documentation that proves the features you advertise.
SoftwareApplication and Organization structured data (schema.org), matching the visible content.

Customer reviews and review sites

Your profiles on software review sites are often cited in answers. Claim and complete yours: categories, pricing, screenshots, integrations.

Invite every active customer to leave a review, not just your biggest fans.
Each platform has its own rules on incentives: read them before any campaign.
Reply to negative reviews by explaining what has changed since.
Never publish fake reviews or reviews written by your own staff: it’s a misleading commercial practice.

Mistakes to avoid

Pricing “on request” only: the AI can’t place you in a budget question.
Abandoned review-site profiles still showing an old plan.
Purely marketing product pages with no functional detail.
Documentation restricted to logged-in customers, and therefore invisible.
Check your robots.txt file: blocking OAI-SearchBot, Claude-SearchBot or PerplexityBot can keep you out of answers that use web search. You can refuse the training crawlers (GPTBot, ClaudeBot) without blocking the search ones.

B2B SaaS checklist

Review-site profiles claimed and up to date.
One page per use case and per sector.
Public pricing page.
Factual integrations and security pages.
Public, indexable documentation.
A review programme open to every customer, within each platform’s rules.
AI search crawlers allowed in robots.txt.

Measure your visibility in AI answers

Build a list of buyers’ questions by use case, company size and constraint, then track which solutions get cited. Saykora’s free test asks ChatGPT, Gemini and Claude with web search on and shows the competitors named instead of you, the sources the AIs use and their exact answers. Have a look at our comparisons and AI rankings too.

FAQ

Do I need to be on G2 or Capterra to be cited?

It isn’t compulsory, but these platforms are often cited for comparison questions. Check which sources come up for your own questions.

Are “alternative to” pages allowed?

In France, comparative advertising is allowed if it is objective, verifiable and not disparaging, and similar rules apply in many other countries. Date these pages and keep them up to date.

Do I have to publish my prices?

No, but without public prices the AI can’t recommend you for a budget question, and it sometimes reuses third-party estimates instead.

Sources consulted (8)

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