Be the answer when software buyers ask AI.
Software buyers increasingly ask AI assistants to shortlist tools before they ever open a search results page. The Refinex Content Engine finds the questions they ask, checks which sites the assistants cite today, and publishes the comparison and selection content those assistants quote most.
What your buyers are asking
These are the kinds of questions software buyers, operators and technical evaluators put to search engines and AI assistants. For your business, the engine measures how often each is searched and asked of AI in your markets, and checks which sites ChatGPT, Perplexity, Gemini and Claude cite today.
- What is the best CRM for a 20-person sales team?
- How do I migrate from spreadsheets to project management software?
- What does SOC 2 compliance mean for a vendor?
- How much should a mid-market company spend on its data stack?
- What should I ask in a software demo?
What the engine would write for you
Illustrative titles. Your real topics come from research on your market, chosen where you can rank and be cited.
How to choose an analytics platform for a growing product team
Build vs. buy: what in-house tooling really costs
The 7 integrations every RevOps stack needs
What SOC 2 Type II means when you are evaluating vendors
How the Content Engine works for B2B SaaS & technology
- 1
Research first
Demand in search and AI assistants for your markets, the pages ranking today and what they miss, and the sites AI cites now. Platform launches, pricing changes and new regulations create new questions fast. The engine catches them and publishes while competitors are still drafting.
- 2
Written from credible sources
Every statistic is verified with a named source, year and link before writing starts. In your industry, that means:
- Platform documentation and official changelogs
- Independent research firms and analyst reports
- Standards and compliance frameworks
- Government and regulator guidance on data and privacy
- 3
Guardrails that fit your industry
- Competitors are never linked, cited or named, so you never send them authority or clicks
- Comparison and ranked-list articles compare categories, approaches and integrations, never rival vendors by name
- Competitors and any domain you rule out are never cited, linked or named
- No invented results or figures: anything unsourced is cut
- 4
Reviewed, signed and shared
Each draft arrives with a live preview and its sources listed. It publishes only after a product marketer or product manager approves it, under your byline, with an original image, structured data and an FAQ. Then the post you picked goes out on LinkedIn and Meta.
B2B SaaS & technology: common questions
How does the engine know what buyers ask AI assistants?
It measures how often each question is asked of AI assistants as well as typed into search, then puts your buyer’s question to ChatGPT, Perplexity, Gemini and Claude and records which sites they cite. Those citations are the seat each article is built to take.
Can it write comparison pages without naming competitors?
Yes. Comparison and ranked-list articles cover approaches, categories and integrations, which AI assistants quote heavily, without naming or linking rival vendors. Product comparisons that name you alongside others can be added if you supply them.
Does it work for technical audiences?
It writes from documentation, standards and primary research, defines terms on first use, and your product team reviews every draft, so content holds up with engineers and technical evaluators.
Does anything publish without our approval?
No. Every article arrives as a draft with a live preview and its sources listed. A person on your team approves it, requests changes or rejects it. If no one acts, the draft closes itself after four days instead of publishing.
How much does the Refinex Content Engine cost?
Launch is $1,200 a month for 12 articles, and Growth is $2,250 a month for a new article every day. Agencies running the engine for several sites get a custom quote.
See your first three topics
Book a demo and we will show you the research behind your first three articles: the demand, the gaps and who AI assistants cite today.