Your next customer is building a shortlist without you
A few years ago, a SaaS buyer might search Google, open ten tabs, read G2 reviews, and book three demos. Today, buyers can ask ChatGPT or Gemini one question and get a vendor shortlist in seconds.
This shift is already changing how B2B buyers research software. According to G2’s Answer Economy research, 51% of B2B software buyers started research in an AI chatbot more often than Google in March 2026. That figure was 29% a year earlier. The research also identified AI chatbots as a leading influence on vendor shortlists.
However, traditional review sites still matter. The G2 2026 Buyer Behavior Report identified review sites (38%) and AI chatbots (37%) as the two biggest influences on shortlists. It also found that more than 80% of buyers had sourced software recommendations from an AI chatbot within two years.
These findings point to one important connection: reviews, comparison pages, and AI search work together. AI assistants can draw on third-party reviews, category lists, comparisons, and your product pages when answering buyer questions. This playbook explains how to strengthen those sources and measure your B2B SaaS visibility.
Quick answer
To get your B2B SaaS product recommended by AI assistants:
- List the commercial-intent questions buyers ask, such as “best X for Y”, “X alternatives,” and “X vs Y”
- Measure how often AI names you for them and which sources it cites
- Make your product pages specific and easy to quote
- Publish honest comparison and alternatives pages
- Earn reviews and third-party mentions in the sources AI already trusts; and
- Review results monthly. Track changes in mentions, share of voice, and citations to see which efforts make a difference.
Comparison pages and third-party mentions deserve particular attention because they can influence how buyers assess competing options.
Step 1: Find the questions that bring you customers
Start with the questions buyers ask when they’re ready to evaluate, not the ones they ask when they’re learning. These commercial-intent queries usually fall into five types:
| Query type | Example | Why it matters |
|---|---|---|
| Category | “best CRM for early-stage startups” | Decides who makes the first shortlist |
| Alternatives | “HubSpot alternatives for small sales teams” | Catches buyers unhappy with a competitor |
| Head-to-head | “Pipedrive vs HubSpot for a 10-person team” | The buyer is choosing between two names |
| Use case | “CRM for real estate brokers” | Allows niche products beat category leaders |
| Problem | “how to stop inbound leads going cold” | Reaches buyers before they know the category |
Where to find them:
- Sales calls and demo notes: Your reps hear the exact phrasing buyers use. Note which competitors come up and why deals were lost.
- Your review profiles: Reviews on G2 and Capterra mention the alternatives buyers compared you with.
- Search Console and keyword tools: Queries that include “best”, “alternative”, “vs,” or “pricing” are a strong starting list.
- Account research: If you use B2B intent data, the topics in-market accounts are researching are another source of questions.
Rewrite each one as a natural question a buyer would ask an assistant, including their context: team size, industry, budget, current tool. Aim for 20 to 50 questions. A focused list you track consistently beats hundreds you check once.
Step 2: Measure where you stand today
Before changing anything, find out what AI assistants actually say. For each question, record three things:
- Are you named? And where in the answer do you appear?
- Who is named instead? These are your real competitors in AI search, and they’re not always the ones you expect.
- Which sources are cited? These are the pages shaping the answer, and they’re where your fixes will go.
Expect the answers to be concentrated. For example, in MentionBird’s ChatGPT Rankings for CRM software, HubSpot appeared in 92.5% of tracked answers in the week of 4 October 2026. Category leaders take most of the space, so smaller products have to win on more specific questions: use cases, alternatives, and comparisons.
Run each question several times and on more than one assistant. AI answers vary from run to run, so how often you appear across many answers is the number that matters, not a single screenshot.
Step 3: Make your product pages easy to quote
After measuring your baseline, strengthen the pages buyers and AI assistants use to understand your product. Official pages become particularly important when buyers research pricing, integrations, and product fit.
A Wix Studio AI Search Lab study of more than one million citations supports this focus. As reported by Search Engine Land, product and category pages accounted for around 40% of citations for transactional and navigational queries.
However, broad marketing claims often provide little useful detail. Instead of describing your product as “the all-in-one platform for modern teams,” give buyers concrete information:
- Describe your product clearly: “A CRM for small B2B sales teams” explains more than “the future of revenue.”
- Define your ideal customer: Specify team sizes, industries, and use cases, including situations where your product may not fit.
- Explain pricing: Publish prices or starting costs where possible, so buyers can compare options without guessing.
- Document technical requirements: Include integrations, security features, compliance details, and availability of SSO or data residency.
- Answer common questions: Add an FAQ based on real buyer concerns, using clear answers and appropriate structured data.
- Keep information consistent: Align product details across your website, review profiles, and directory listings.
These changes make your website more useful for buyers. They also give AI assistants clearer facts to reference when comparing software products.
Step 4: Publish honest comparison and alternatives pages
For commercial questions, comparison content wins. The same Wix study found listicles made up 40.9% of citations for commercial-intent queries, nearly double any other format. That’s the “best X”, “X alternatives” and “X vs Y” content buyers ask for.
You should publish your own, with two caveats. Assistants can tell the difference between a comparison and a sales page, and buyers fact-check. So make them genuinely useful:
- Build a “vs” page for each main competitor and an “alternatives” page for the category leader you’re most often compared with.
- Be fair. Say where the competitor is the better choice. An honest “choose them if…” section makes the rest of the page more credible to buyers and to assistants.
- Use tables. Pricing, key features, integrations, best fit. Structured comparisons are easy for assistants to extract.
- Show your evidence and a date. “Pricing checked October 2026” tells readers and assistants the page is current.
- Update every quarter. Stale comparison pages with old pricing hurt more than they help.
Your own comparison pages are only part of the picture, though. Most of the lists AI cites are written by third parties, which is where Step 5 comes in.
Step 5: Earn credible third-party mentions
Your website explains your product, but outside sources help buyers evaluate your claims. These sources also matter for AI visibility.
For example, Ahrefs’ study of 75,000 brands found correlations of 0.66 to 0.71 between branded web mentions and visibility across ChatGPT, Google AI Mode, and AI Overviews. YouTube mentions showed a correlation of about 0.74. These figures do not prove causation, but they highlight a strong association between brand discussions and AI visibility.
Focus your outreach on sources that buyers already consult:
- Review sites: Request reviews after successful onboarding or renewals. Encourage detailed, genuine feedback rather than a short-lived surge of ratings.
- Third-party “best of” lists: Find the lists AI cites for your top questions (Step 2 gives you these). Pitch the authors with something useful: updated pricing, a feature they missed, a customer story. Many lists are refreshed regularly and welcome accurate data.
- Community-ranked directories: Directories that rank products by real usage give smaller products a fair shot. On maarket.ai, where I’m a co-founder, products rank by reviews, recommendations, and real usage rather than ad spend, so a new product can climb by earning genuine support from users.
- YouTube: Product walkthroughs, honest reviews from creators in your niche, and comparison videos all count. Given the Ahrefs data, video is worth more attention than most SaaS teams give it.
- Communities and podcasts: Answer relevant questions on Reddit, LinkedIn, and industry groups while disclosing your affiliation. Niche interviews can also introduce your product to new audiences.
Prioritize relevant sources over sheer volume. A detailed mention on a page buyers actually consult can be more useful than an unrelated directory listing.
Step 6: Measure whether AI recommends you more over time
Re-run your question set every month and track four numbers:
- Mention rate: The share of answers that name you, per question and overall.
- Share of voice: How often you’re named compared with each competitor.
- Cited sources: Which new pages now mention you, and which important sources still don’t.
- Pipeline influence: Add “ChatGPT or another AI assistant” as an option in your “How did you hear about us?” field, and ask in discovery calls. Much AI influence never shows up in analytics.
You can track a small set of questions manually. However, larger sets require a dedicated tool for consistent tracking and comparison.
For example, MentionBird tracks your chosen prompts daily across ChatGPT, Gemini, Claude, Perplexity, and other AI platforms. It identifies the sources AI platforms cite and highlights prompts where your brand is missing. Based on these gaps, it recommends on-page improvements, relevant YouTube topics, and third-party backlink opportunities to help your brand earn more recommendations.
Besides MentionBird, several tools offer different tracking capabilities and workflows. To help you compare your options, I’ve reviewed seven AI visibility trackers, covering their pricing, supported platforms, and key features.
A 90-day plan
| When | Focus | Output |
|---|---|---|
| Weeks 1–2 | Steps 1 and 2 | 20–50 tracked questions and a baseline of mentions, competitors, and cited sources |
| Weeks 3–6 | Steps 3 and 4 | Rewritten product and pricing pages, an FAQ, and your first 2–3 “vs” and “alternatives” pages |
| Weeks 4–12 | Step 5 | A review request process, 5–10 pitches to cited lists, directory listings and one video asset |
| Every month | Step 6 | Mention rate, share of voice, and new cited sources compared with the baseline |
Third-party mentions take the longest to show up in AI answers, so start Step 5 early and keep it running.
FAQ
How do I get my SaaS product recommended by ChatGPT?
Make your product easy to understand and easy to verify. Publish clear product and pricing pages, build honest comparison pages, and earn mentions on the review sites, lists, videos, and communities ChatGPT already cites for your category. Then track the questions that matter and fix the gaps.
Are G2 and Capterra reviews still worth it?
Yes. G2’s 2026 research found review sites were the single biggest influence on B2B software shortlists, just ahead of AI chatbots. Reviews also feed the AI answers themselves, since assistants often cite review sites.
Should a SaaS company publish comparison pages against competitors?
Yes, if they’re honest. Comparison and “best of” content is the most cited format for commercial questions. Pages that acknowledge where a competitor is stronger are more credible to buyers and more useful to AI assistants than one-sided sales pages.
How do I know if ChatGPT recommends my SaaS product?
Ask ChatGPT and other assistants the questions your buyers ask, several times each, and note whether you appear and who appears instead. For ongoing monitoring, MentionBird can help you identify visibility gaps and provide AI ranking recommendations to close them, helping your SaaS brand win more AI answers.
How long does it take to improve AI visibility?
Changes to your own pages can show up within weeks, once assistants recrawl them. New third-party mentions and reviews usually take longer, often a few months. Measure monthly and look for a steady upward trend rather than day-to-day changes.
The takeaway
Buyers now meet your product inside an AI answer before they ever reach your website. That answer is built from your pages, your reviews, comparison lists, and what people say about you. Treat those as one system: find the questions that matter, measure where you stand, make your own pages quotable, earn mentions everywhere else, and track whether AI recommends you more each month.
About the author
Kabandi Saikia is co-founder at maarket.ai, a distribution platform that helps buyers find the right products. She has spent her career as a founder and growth marketer helping products get discovered. Connect on LinkedIn.
Sources
- G2: In the Answer Economy, don’t win the click — win the answer (April 2026)
- G2: 2026 Buyer Behavior Report
- MentionBird: ChatGPT Rankings, CRM software (week of 4 Oct 2026)
- Search Engine Land: AI citations favor listicles, articles, product pages (Wix Studio AI Search Lab study)
- Ahrefs: Top brand visibility factors in ChatGPT, AI Mode and AI Overviews (75k brands studied)
