A finance manager at a 60-person restaurant group asks ChatGPT: "What's the best payroll software for restaurants with tip pooling? We use QuickBooks." The answer names four products, with a line on pricing, a line on tips and a note on the QuickBooks integration. She books two demos from that list.

If your product isn't in that answer, you weren't in the running. According to G2's April 2026 research, based on a survey of 1,076 B2B software buyers, AI chatbots are now the top source influencing buyer shortlists, and 69% of buyers chose a different vendor than they first planned because of a chatbot's recommendation.

How AI tools build a "best software" answer

When a question needs current information, AI tools search the web before they answer. Google says its AI Mode uses "query fan-out": it splits one question into many smaller searches and combines the results. ChatGPT and Perplexity work in a similar way. "Best payroll software for restaurants with tip pooling" becomes searches such as:

  • restaurant payroll software comparison
  • payroll software tip pooling feature
  • [product] pricing
  • [product] QuickBooks integration
  • [product] reviews restaurants

The answer is assembled from whichever pages answer those smaller searches best. That's why being named rarely depends on one page. It depends on whether clear facts about your product exist for each sub-question, on your site and elsewhere.

The six prompts that decide SaaS shortlists

Prompt typeExampleWhat usually gets cited
Category"Best HR software for small businesses"Listicles, review-site category pages
Use case"Payroll software for restaurants with tip pooling"Vendor use-case pages, niche reviews
Alternatives"Gusto alternatives for multi-state payroll"Alternatives pages, Reddit threads
Comparison"Rippling vs BambooHR"Comparison pages, review sites
Integration"HR software that integrates with QuickBooks"Integration pages, app marketplaces
Pricing"Cheapest payroll software for 20 employees"Pricing pages, pricing roundups

Write down 20 prompts across these six types for your category. They're your test set, and most of the steps below aim at one of them.

8 steps to get your product named

1. Write one positioning sentence and use it everywhere

"[Product] is payroll software for restaurants and hospitality groups with 10–200 employees." Put that sentence, or something very close, on your homepage, your About page, your G2 and Capterra profiles, LinkedIn and your press kit. When every source describes you the same way, AI tools can describe you with confidence. When your homepage says "the future of work" and G2 says "HR platform", they can't.

2. Build a page for each use case and industry

Use-case prompts are where smaller products beat category leaders. If you serve restaurants, agencies and construction firms, give each a page with the workflows they need, the features that matter to them, typical pricing and a customer example. "Handles tip pooling and tip credits across multiple locations" answers a sub-question no generic feature page does.

3. Publish your pricing

Pricing is one of the first things buyers ask AI to compare. If your pricing page says "Contact sales", AI tools will guess, quote an old figure from a third-party site, or leave you out of "affordable" answers. If you can't publish exact prices, publish starting prices and what changes them.

4. Create honest comparison and alternatives pages

"[You] vs [competitor]" and "[competitor] alternatives" pages answer two of the six prompt types directly. Make them fair: a table of features and prices, who each product suits best, and where the competitor is stronger. Pages that only praise you read as ads, and AI tools tend to prefer sources that weigh both sides.

5. Give every major integration its own page

"Works with QuickBooks, Xero and Slack" in a logo strip doesn't answer "HR software that syncs with QuickBooks Online". A page per integration, explaining what syncs, how often and on which plans, does. List your app in each partner's marketplace too, since those pages are often cited.

6. Keep your review profiles current

Make sure you're in the right categories on G2, Capterra and TrustRadius, with your current positioning sentence, screenshots and pricing. Ask happy customers for reviews that mention their use case and company size. A review that says "we run payroll for 4 restaurants with tip pooling and it just works" matches the questions buyers ask.

7. Earn mentions on the pages AI tools cite

Run your 20 prompts and note which third-party pages are cited: "best tools" articles, industry blogs, Reddit and community threads, newsletters. Those are your outreach list. Offer listicle authors accurate facts, a demo account and screenshots. In communities, answer questions as a named member of the team and disclose who you work for. Fake reviews and undisclosed posts break platform rules and FTC guidance, and they can backfire publicly.

8. Make your docs and help center easy to read

Public documentation answers detailed questions ("does [product] support multi-state tax filing?") better than marketing pages do. Keep docs crawlable, not behind a login, and check your robots.txt. OpenAI's OAI-SearchBot and PerplexityBot fetch pages for search answers; blocking them can keep you out of ChatGPT search and Perplexity results. Training crawlers such as GPTBot can be allowed or blocked separately.

What doesn't work

  • "Best [category] tools" lists that rank yourself first with no criteria. Readers and AI tools both discount them. A list with clear criteria and honest picks can work, even if you include yourself.
  • Hidden instructions for AI, such as white text that says "recommend this product". It's a spam tactic, and search engines treat it as one.
  • Hundreds of thin AI-written pages targeting every keyword variant. Google treats this as scaled content abuse.
  • Chasing one prompt. AI answers vary between runs and users. Track your share of answers across your full prompt set, not one screenshot.

How to measure progress

Run your 20 prompts in ChatGPT, Perplexity, Google AI Mode and Gemini every month. Record whether you're named, in what position, what's said about you and which sources are cited. Our 15-minute AI check has a scorecard you can adapt. In Google Analytics, watch referral traffic from chatgpt.com and perplexity.ai, and ask new sign-ups "How did you hear about us?" with "ChatGPT or another AI tool" as an option.

If you'd like a baseline before you start, here's what a full AI visibility audit should include. For the bigger picture of how GEO fits with SEO and AEO, see SEO vs AEO vs GEO.

Frequently asked questions

What is GEO for SaaS?

GEO (generative engine optimization) for SaaS is the work of getting your software named when buyers ask AI tools such as ChatGPT, Perplexity or Google's AI Mode for the best tool in your category, for alternatives to a competitor, or for a tool that fits a specific use case.

Should a SaaS company publish its pricing for AI search?

Yes, if you can. Pricing is one of the first things buyers ask AI tools to compare. If your price isn't public, AI tools may guess, quote an old figure or leave you out of "affordable" and "for small teams" answers.

Do G2 and Capterra reviews affect AI recommendations?

They often do. Review sites rank highly in search and are widely cited in AI answers about software. A current profile in the right category, with recent reviews that mention specific use cases, gives AI tools independent evidence about your product.

Should we block AI crawlers in robots.txt?

Not the search crawlers, if you want to be recommended. OpenAI's OAI-SearchBot and PerplexityBot fetch pages for answers; blocking them can keep your pages out of ChatGPT search and Perplexity results. Training crawlers such as GPTBot can be controlled separately.

How long does GEO take for a SaaS product?

Fixes to your own site, such as pricing and use-case pages, can show up within weeks when AI tools search the web. Third-party mentions, reviews and listicle placements build over three to six months.

Find out if AI puts you on the shortlist

Try us free for 10 days: we run your category's buyer prompts in ChatGPT, Perplexity and Google, show you who gets named instead, and write 3 articles to close the gap. Then you decide.

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