SaaS and software marketing
Getting your software
named by AI.
AI tools recommend software by searching the web and summarising what they find, so they repeat whatever facts about you are easiest to find, current or not. In G2's March 2026 survey, 69% of software buyers chose a different vendor than planned because a chatbot recommended it. Google says its AI features are rooted in its core Search ranking and quality systems and need no special files. For a SaaS company, the work is keeping plan facts current and consistent everywhere: your pricing page, your docs and your review profiles.
What buyers ask
AI about software.
Software questions suit AI tools perfectly, which is why buyers use them. 'What's the best job management app for a plumbing business in Sydney?' 'What are the alternatives to the CRM we use, and what do they cost?' 'Does it work with Xero?' Each one is a comparison that used to take an afternoon of tabs.
Australian buyers are doing it. Capterra found successful Australian software buyers named generative AI tools such as ChatGPT and Google's AI Overviews among their top five sources. And it changes outcomes: in G2's global survey, 69% of software buyers ended up choosing a different vendor than they'd planned because of a chatbot's recommendation.
Where the answers
come from.
Google's AI Overviews and AI Mode may issue multiple related searches across subtopics and data sources to build one answer. Google calls that query fan-out. One software question becomes several searches: pricing, reviews, integrations, alternatives. A page has to be indexed and eligible for a snippet to be used, and there are no additional requirements beyond normal Search.
ChatGPT works differently. OpenAI says sites that block its search crawler, OAI-SearchBot, won't be shown in ChatGPT's search answers. A small study by Seer Interactive found more than 87% of ChatGPT's citations matched Bing's top results, so your Bing visibility matters more than most SaaS teams assume. Check that your security settings or CDN aren't blocking these crawlers by accident; app-style sites often do.
The stale
price problem.
SaaS companies change prices, rename plans and drop free tiers far more often than most businesses. Every change leaves a trail: a 2023 blog post announcing the old plan, a comparison page on someone else's site, a review profile still showing the price from two years ago. An AI tool searching for 'how much does it cost' can find any of those and present it as fact.
The fix is boring and it works. Keep one pricing page with real numbers and a visible 'last updated' date. When a plan is retired, 301 redirect the old plan page to the current pricing page rather than leaving it live. Update your G2 and Capterra listings the same day as the website. And add a dated changelog, so anything citing an old price can at least be checked against the new one.
Price wording matters legally too. The ACCC's case against Microsoft was about how a plan change was communicated, with the regulator alleging the cheaper option was left out of the price rise emails. If AI tools are quoting a plan you no longer offer, your customers will hold you to it, not the chatbot.
Check what AI
says about you.
Run the same five prompts in ChatGPT, Gemini, Copilot and Google AI Mode, logged out, and record whether each fact came back right, wrong or missing. Answers vary between runs, so ask two or three times and note the usual answer. Do it monthly, and straight after any price change.
AI plan facts check
Does AI have
your facts right?
Enter your product, a competitor and your facts as they are today. Copy each prompt into ChatGPT, Gemini, Copilot and Google AI Mode, then record what came back. The starting facts are made up.
Prompts to run
Facts right
-
Answers change between runs. Ask each prompt two or three times, logged out, and record the usual answer, not the best one.
The 'alternatives'
question.
'Alternatives to' prompts are the ones that move buyers between vendors, because the person asking is already unhappy with what they've got. To be named, there has to be something for the AI tool to find that connects you to that competitor: an honest alternatives page on your site, reviews that mention switching, and listings on comparison sites in the right category.
Write it fairly. Say who the competitor suits better. It reads as more credible to buyers, and it keeps you on the right side of the ACCC, which says a comparison misleads if it is inaccurate or doesn't compare fairly.
Say it the same
everywhere.
When your website calls you 'job management for trades', G2 lists you as 'field service software' and LinkedIn says 'workflow automation', you've given AI tools three different products to describe. Pick one plain description, with who you suit and what you replace, and use it word for word on every profile.
Australian details help too. Where data is stored, Australian support hours, GST-inclusive pricing and integrations with local tools like Xero and MYOB are exactly what an Australian buyer's follow-up questions will ask about. If the answer is on your site in plain text, the AI tool can use it.
What you can
measure.
Google includes traffic from AI features in the overall Web search figures in Search Console, and offers a generative AI performance report. ChatGPT adds utm_source=chatgpt.com to the links it sends, so those visits show up in GA4. Bing Webmaster Tools shows citations from Copilot and Bing's AI summaries. None of it is complete. Combine it with the monthly prompt check and you'll know whether you're being named, and whether you're being named correctly.
What I see most often
What I'd check first
on a SaaS company's AI answers.
- 1
Old plan pages still live
Retired plans and old pricing announcements that still rank and still get quoted, with no redirect to the current pricing.
- 2
Crawlers blocked by accident
Bot protection or a CDN setting that blocks AI search crawlers from the marketing site, so the tools only see third-party pages.
- 3
Three descriptions of one product
A different category name on the website, the review sites and LinkedIn, so nobody, human or AI, is sure what the product is.
The honest bit. You can't control what an AI tool says, and you can't pay to be named in its answers. You can only make the true facts easy to find and hard to contradict. Some months you'll do everything right and still not be mentioned.
Questions
people ask.
How do I get my software recommended by ChatGPT?
Make sure ChatGPT can reach your site, since sites blocking OAI-SearchBot aren't shown in its search answers. Then keep plan facts current on one pricing page, write honest comparison and integration pages, and keep review profiles matching your site.
Why does ChatGPT show the wrong price for my software?
It's usually repeating an old page or profile it found. Redirect retired plan pages, date your pricing page, and update G2 and Capterra listings when prices change.
Do I need an llms.txt file for AI search?
Not for Google. Its guide says you don't need new machine-readable files, AI text files or markup to appear in its AI features.
Do Australian software buyers use AI to research?
Yes. Capterra found successful Australian buyers named generative AI tools among their top five sources when choosing software.
Can I see traffic from AI Overviews in Search Console?
It's included in the overall Web search traffic in Search Console, and Google offers a generative AI performance report as well.
Related
Keep
going.
Get a free
search audit.
Takes a minute. Audits come back within 1 to 2 business days. For anything else, I'll get back to you as soon as possible.
What happens next
- 1I'll ask for read-only access, or just your website for a search audit.
- 2I go through it and write up the 3 biggest fixes.
- 3A 20-minute call to walk you through it. No pitch unless you ask.
