AI visibility for SaaS: how to get on the shortlist when buyers ask ChatGPT

Because a growing share of software shortlists now start in an AI chat. G2's 2026 Buyer Behavior Report, a survey of 1,038 B2B decision-makers across North America, EMEA and APAC, found that eight in ten buyers had used AI chatbots to source software recommendations in the previous 24 months, and nearly half said AI had its biggest influence during shortlisting and evaluation.^[1] The same survey put review sites (38%) and AI chatbots (37%) as the top two sources influencing shortlist decisions.^[1]

Those two sources are linked. When an assistant searches the web to answer “best help desk software for a 20-person team”, it may read review sites, comparison articles and vendor pages, then summarize them. If you are missing from those sources, or described inconsistently, you are less likely to make the list. That is the practical meaning of AI visibility for a SaaS company: being named, accurately, in unbranded answers where buyers form a shortlist.

Most buying questions fall into four families. Track each one, because a brand can be strong in one and absent in another.

Add segment and market modifiers that match your buyers: company size (“for a 10-person agency”), industry (“for clinics”), region (“payroll software for Germany”), budget (“under $20 per user”) and stack (“works with HubSpot”). The more specific the question, the more the answer depends on concrete facts rather than brand fame, which is good news for smaller vendors.

They are among the sources buyers trust most,^[1] and they are easy for engines to read, so treat your profiles as part of your website. G2 completed its acquisition of Capterra, Software Advice and GetApp from Gartner in February 2026, so several of the biggest review sites now sit under one owner.^[2] Regional and vertical review sites matter too; check which ones engines actually cite for your category before you invest in them.

• Complete every profile. Category, description, pricing model, integrations, supported languages and regions, and screenshots. Use the same one-line positioning everywhere.
• Pick categories carefully. Being listed in the right category is often what puts you on a “best X” page that an engine later reads.
• Earn reviews steadily. A steady flow of recent reviews from real customers beats a one-off campaign. Follow each site's rules on incentives.
• Reply to reviews. Answers to critical reviews show up on the page and give engines your side of the story.
• Keep facts in sync. If your pricing page says per-seat and a profile still says flat-rate, an assistant may repeat the old one.

Yes, when they are honest and specific. “X vs Y” and “X alternatives” questions are common, and an assistant can only describe the difference if someone has written it down clearly. Your own comparison pages are one input among several, so they work best when they match what reviewers and customers say.

• State who each product is best for, including when the rival is the better choice. One-sided pages read as ads.
• Use a feature table with plain yes, no and partial values, and date it.
• Name real limits: seat minimums, missing integrations, regions you do not serve.
• Cover the incumbents your buyers actually compare you with, not just the ones you beat.
• Link to supporting evidence: docs, public pricing, changelog entries.

Requirement questions (“has SSO”, “integrates with Slack”, “SOC 2”) are answered from pages that state the fact directly. If those facts live behind a login, in a PDF or only in a sales deck, an engine cannot use them. Publish one crawlable page per major integration, a public pricing page in plain text and a security page that lists certifications with dates.

Make sure AI search crawlers can reach those pages. OpenAI says sites that block OAI-SearchBot will not be shown in ChatGPT search answers, apart from navigational links, and that blocking GPTBot is a separate, training-only choice.^[3] Google says there are no special requirements or new files needed to appear in AI Overviews or AI Mode beyond normal Search eligibility.^[4] The AI crawler checker tests your robots.txt and headers for 21 AI bots and flags Cloudflare's default AI-bot blocking. An llms.txt file is optional; Google Search does not use it.

Build a fixed set of 20 to 50 unbranded buyer questions per segment, ask each in several wordings, and track how often you are named compared with three to five rivals. Keep branded questions (“is Acme CRM good?”) apart; they check accuracy, not visibility. Run the set on every engine your buyers use and in every market you sell in, because results differ by engine and country.

Answers vary from run to run,^[5] so a single screenshot is not a measurement. Look for differences that hold across dozens of answers. Our guide to AI share of voice covers the formulas, sample sizes and pitfalls.

Thirty days is enough to set a baseline and fix the obvious gaps. It is not enough to judge the results; give changes a few more weeks of measurement before drawing conclusions.

Week 1: baseline

1. Write 20 to 50 unbranded questions across the four prompt families, with segment and market modifiers.
2. Pick three to five rivals your buyers really compare you with.
3. Run the set across engines and record mention rate, share among named brands and the domains cited.
4. Check crawler access for OAI-SearchBot, PerplexityBot, Googlebot and others.

Week 2: facts and sources

1. List the ten domains engines cite most for your questions. Note which ones mention you and how.
2. Update review-site profiles so category, pricing and integrations match your site.
3. Fix any wrong facts you found in branded answers at their source page.

Week 3: pages

1. Publish or refresh two honest comparison pages for your most common “vs” and “alternatives” questions.
2. Make pricing, integrations and security pages public, dated and crawlable.
3. Add a clear “who it's for” statement to your homepage and main product page.

Week 4: outreach and review

1. Ask recent happy customers for reviews on the sites engines cite.
2. Pitch corrections or updates to roundup articles that list rivals but not you, with evidence.
3. Re-run the set and compare against the baseline, treating changes inside the range as noise.

Glossy Data runs paraphrased, unbranded buyer questions every week on ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity and Claude, in 49 countries and 7 native languages. Each number shows its sample size and a 90% range. Paid plans add competitor share of voice, a Source Map of the sites each engine cites, and quick fixes. Microsoft Copilot is coming soon. See the SaaS solution page for segment examples.