Solution · SaaS & software
Software shortlists are now built in AI chats.
When a CTO asks Claude “Which monitoring tool fits our Kubernetes setup?” or a head of sales asks ChatGPT for the best CRM alternative, the answer holds three to five names. Alexandrya.AI shows you whether your software is among them, who gets named instead and which sources decide it.
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51%
of B2B software buyers start their research in an AI chat more often than on Google (G2, 2026)
54%
name AI chatbots as the top source shaping their shortlist (G2, 2026)
69%
chose a different vendor than planned because of an AI answer (G2, 2026)
84%
of developers use or plan to use AI tools (Stack Overflow, 2025)
Trusted by 130+ brands
The classic prompt
This is how software buyers ask today.
Not a keyword, but a whole situation: team size, stack, budget, compliance. AI answers with three to five names and a reason. If you are not among them, you do not get trialled.
- Is your software named, and in which model?
- Which tools appear in the answer instead of you?
- Are pricing, integrations and hosting details correct?
- Which sources did the model use?
Claude · AnswerFor your setup, these tools are the main candidates:
- 01Tool A: EU region, strong funnel and cohort analysis
- 02Tool B: open source, self-hostable, popular with developers
- 03Tool C: often recommended on review sites and in comparisons
- 04Your softwarenot mentioned
12 %
Share of voice
3 / 5
Models without a mention
#4
Rank vs. competitors
Measured by Alexandrya.AI · daily
Illustrative example, vendors anonymised.
The software journey in the chat
Six prompts between problem and trial account.
Alexandrya.AI tracks the complete journey. So you see where your software shows up and where it disappears.
01 · Problem
“Our sales team loses leads between marketing and sales. How do other B2B SaaS companies solve this?”
AI explains possible solutions and already names the first tools.
02 · Category
“What is the difference between revenue intelligence and sales engagement software?”
Whoever gets cited as a source here shapes the criteria used for the comparison later.
03 · Shortlist
critical“Which CRM fits a B2B start-up with 30 people? EU hosting is a must.”
The decisive moment: three to five names. If you are missing, you do not get trialled.
04 · Alternative
critical“Is there a cheaper alternative to our project management tool, with SSO and an open API?”
Customers ready to switch, with budget. This is where challengers win or lose market share.
05 · Comparison
“Tool A or tool B: which has the better integrations and the fairer pricing tiers?”
Are pricing, features and integrations correct, or does AI quote an outdated state?
06 · Validation
“What experience have teams had onboarding with tool A? Are there known issues?”
Review sites, Reddit and forums feed in. The tone decides whether a trial account gets created.
Why software in particular
Software vendors are hit by this shift first.
Hardly any audience uses AI assistants as naturally as people who buy software. Whatever gets recommended there gets trialled. Whatever is missing does not.
- 01
Your buyers are the heaviest AI users
Developers, product managers, RevOps and CTOs work with Claude, ChatGPT, Cursor and Copilot every day. According to Stack Overflow, half of all professional developers use AI tools daily, and the Anthropic Economic Index lists software development as the largest use of Claude. People who work like this research software like this too.
- 02
The answer is the new page one
AI names three to five tools. There is no second page. In crowded categories such as CRM, project management or analytics, this short list decides who gets trialled at all.
- 03
Coding assistants have a say
When Claude Code or Cursor builds a sign-in flow, a payment setup or monitoring, the model often suggests the vendor and writes the integration too. For developer tools, APIs and infrastructure, the assistant itself becomes a decision maker.
- 04
From the chat straight into a trial
With product-led growth, two clicks separate the answer from a trial account. There is no sales call left in which you could correct a skewed picture.
- 05
Outdated knowledge costs deals
Software changes every month, models learn more slowly. Old pricing, missing integrations, “no SSO” or “no EU hosting”: hardly any buyer double-checks what AI gets wrong about you.
What the numbers say
Being in the answer wins customers who had never heard of you.
33%
of B2B software buyers bought from a vendor they had never heard of before researching with AI.
12.1%
of sign-ups at the SaaS company Ahrefs came from AI search, from just 0.5% of traffic. Visitors from AI answers converted 23 times better there than visitors from classic search.
Product film
Alexandrya.AI explained in two minutes.
Talaal Max Habib, CEO and co-founder, shows what Alexandrya.AI measures, how AI answers become metrics and which actions follow from them. The same principle applies to software vendors: define your buyers’ questions, measure the answers, close the gaps.
What Alexandrya.AI measures for software vendors
Built for category, alternative and comparison prompts.
Category and alternative prompts
“Best tool for …”, “alternative to …”, “tool A or tool B?”: you track exactly the questions software buyers use to build their shortlist.
Fact check for pricing and features
Spot when a model repeats outdated pricing, missing integrations or wrong claims about SSO, hosting and certifications.
Competitors and share of voice
See which tools in your category get recommended instead of you, for which prompt and in which model.
Sources that shape the answers
Review sites, comparison articles, Reddit, YouTube, documentation: you see which pages the models cite and where your effort pays off.
Every model your buyers use
Measured daily in ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Mode and AI Overviews, in every language and market you sell in.
Recommendations, not just numbers
Alexandrya.AI turns the gaps into concrete actions: which page is missing, which source is worth it and which prompt comes first.
Competitive benchmark in Alexandrya.AI, sample measurement.
MCPVia MCP, right inside Claude, ChatGPT and CursorYour team queries the measurements where it already works. Included from Professional and Growth.How to go about it
From the first measurement to a recommendation in four steps.
- 01
Define your prompts
40 to 50 prompts to start: category, use case, alternative, comparison and integration. First where growth, differentiation and margin are greatest.
- 02
Find the gaps
You see for which prompts competitors are named and you are not, and which sources sit behind their mentions.
- 03
Work the sources
Comparison and alternative pages, documentation, pricing and integration pages, review sites. The recommendations tell you what works first.
- 04
Measure the impact
Daily, per model and market. So you know which action really changed the answers.
Who it is for
For software that gets compared before it gets trialled.
Horizontal SaaS
CRM, HR, finance, project management: are you named when someone wants to replace the market leader?
Vertical software
Software for law firms, medical practices, trades or logistics: does AI know you as the specialist in your industry?
Developer tools & APIs
Does the coding assistant suggest your API when it writes the integration?
Security & infrastructure
Are certifications, hosting regions and compliance claims correct in the answers?
Enterprise software
ERP, PLM, MES: are you on the longlist the project team builds with AI?
MarTech & SalesTech
Your buyers are the first to try AI tools. Does AI recommend you too?
Success story · ThyssenKrupp Schulte
+340 %
more AI visibility in 6 months
“Alexandrya.AI opened our eyes. We didn’t know ChatGPT was recommending our competitors, but not us.”
Markus SteinbachSenior Digital Marketing Manager, ThyssenKrupp Schulte
We are a SaaS company ourselves.
Alexandrya.AI is software that gets compared in AI chats. We measure our own category every day with the same tool you are trialling, backed by 11 years of SEO and performance consulting.
+3Built by a team that has made B2B brands visible
since 2015. Based in Munich.
Certifications and memberships
BVDW
member
GDPR
compliant
FAQ
SaaS questions, answered briefly.
Why does AI visibility matter so much for SaaS and software companies?
Because software buyers increasingly start their research in an AI chat. According to the G2 AI Search Insight Report 2026, 51% of B2B software buyers start their research with an AI chatbot more often than with Google, and 54% name AI chatbots as the top source shaping their shortlist. If you are missing from those answers, you do not get trialled. The effect is strongest with technical audiences such as developers, CTOs and RevOps teams, because they already work with Claude, ChatGPT or Cursor every day.
Which prompts should a software company track?
The questions buyers use to build their shortlist: category prompts (“What is the best tool for …?”), alternative prompts (“Is there an alternative to …?”), comparisons (“Tool A or tool B?”), use cases, integrations, pricing and compliance questions such as EU hosting or SSO. To start, we recommend 40 to 50 prompts, first for the categories and products with the biggest growth potential, unique selling point and margin. Then expand step by step.
Which AI models does Alexandrya.AI measure?
Daily in ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot and Google AI Mode and AI Overviews, plus further platforms such as Meta AI and Grok. You measure in every language and market you sell in.
What do we do if AI spreads wrong information about our software?
First make it visible: Alexandrya.AI shows in which model and for which prompt outdated pricing, missing integrations or wrong compliance claims appear. Then work on the sources the models draw from, such as your pricing and integration pages, your documentation, review platforms and comparison articles. The daily measurement shows whether the correction reaches the answers.
How is this different from our SEO tools?
SEO tools measure rankings and clicks in classic search. An AI answer has no position one, just a short recommendation with three to five names. Alexandrya.AI measures whether and how often your software is named in it, next to which competitors, with what sentiment and based on which sources.
Can we use the data directly in Claude or Cursor?
Yes. Through the Alexandrya.AI MCP server, your assistant queries metrics, prompts, competitors, AI answers and sources directly, read-only. MCP is included from Professional and Growth.
How quickly will we see first results?
The first measurement runs right after you set up your prompts. Within the 7-day trial you see where your software stands, which tools get recommended instead of you and which sources shape the answers.
Free trial
Find out in 7 days whether AI recommends your software.
Add your software, enter your competitors, define your prompts. You will see the first results from ChatGPT, Claude, Gemini, Perplexity and Copilot within minutes.
- 7 days free
- No credit card required
- All features included
- Cancel anytime