AI search visibility for technology
Software buyers build their shortlist in ChatGPT before they book a demo. The engine names a handful of vendors for a category, explains the trade-offs, and suggests alternatives to whoever the buyer already knows.
- ChatGPT
- Claude
- Perplexity
- Gemini
- Google AI Overviews
Technology marketing, before and after AI answers
Tech companies won search with comparison pages, integrations directories, review-site profiles and a content engine producing category explainers at scale.
AI answers compress that research. They read review sites, documentation, communities and analyst material, and name vendors for specific use cases. Leadership in a category can hide gaps on the problem questions buyers ask first, and engines differ sharply from one another.
What makes technology hard to win in AI answers
Comparison is the default question
Buyers ask for alternatives and head-to-heads. If your own comparison pages are missing, competitors' pages frame you.
Engines disagree
A vendor can lead on one engine and be absent on another, so a single check misleads either way.
Problem questions come before category questions
Buyers describe a pain before they know the category name, and specialist vendors often own those answers.
The playbook for technology businesses
- 01
Map the questions by stage
Problem, category, comparison and brand questions, measured separately.
- 02
Own your comparisons
Fair, current alternatives and versus pages, with feature and pricing tables engines can extract.
- 03
Win the review and community sources
G2, Capterra, Reddit and the communities your buyers use.
- 04
Make documentation citable
Public docs answer technical questions and are read heavily by engines.
- 05
Track engines separately
Leadership is uneven between engines; treat each as its own channel.
Technology industries we cover
B2B SaaS Companies
Buyers ask AI for the best tool in a category, alternatives to a known vendor, and head-to-head comparisons. If you are not named there, you never enter the deal.
7 ways for b2b saas companies →Cybersecurity Companies
Security buyers research deeply and trust peers and analysts. AI answers now compress that research into a few named vendors per category, and buyers cross-check what the engine says.
6 ways for cybersecurity companies →IT Services & Software Development Firms
Companies ask AI for software development partners, managed IT providers and offshore teams by stack, industry and budget. Engines name firms with public case studies and directory reviews.
6 ways for it services & software development firms →Cloud & Hosting Providers
Developers ask AI for the best host for a stack, a budget or a region. Engines lean on developer communities, benchmarks and documentation.
6 ways for cloud & hosting providers →AI Companies
Buyers ask AI assistants which AI tools to use, which is ironic and very real. Engines name AI products that are discussed widely and documented clearly, and they change quickly.
6 ways for ai companies →Telecommunications Providers
Customers ask AI for the best business broadband, SIP trunking or enterprise connectivity in their area. Engines answer from coverage data, reviews and comparison sites.
6 ways for telecommunications providers →What the engines said in real technology snapshots
Technology sites we built that generate leads
An evidence and grounding API for AI agents
A technical product made legible to the buyers and agents that evaluate it.
See the project →Developer tools · GlobalA news API and MCP server for AI agents
A crowded category, entered with specific capabilities and specific buyers.
See the project →Visibility is the diagnostic; enquiries are the goal. For technical b2b, software and apis we run budgeted programmes against a commercial objective: relevant evaluation journeys and sales-accepted opportunities, measured by what your sales team accepts.
AI search for technology: questions
Do software buyers use ChatGPT to shortlist vendors?
Yes, particularly for comparisons and alternatives. The shortlist often exists before the first sales conversation.
We lead our category. Do we still need to track AI answers?
Yes. Category leaders are often named for category questions but missing from the problem questions buyers ask first, and position differs a lot between engines.
Which sources matter most for software in AI answers?
Review platforms, community threads, public documentation, comparison articles and, for enterprise categories, analyst material.
Other industries
Real Estate
Agents, channel partners, developers and property managers
AI search for real estate →Travel & Hospitality
Travel agencies, corporate travel, tour operators, hotels and venues
AI search for travel & hospitality →Professional Services
Agencies, consultants, architects, engineers, staffing and B2B services
AI search for professional services →Home Services
Plumbers, HVAC, roofers, electricians, solar, cleaning, design and more
AI search for home services →Healthcare
Clinics, dentists, hospitals, specialist practices and health tech
AI search for healthcare →Legal
Law firms, practice-area lawyers and legal tech
AI search for legal →Want more qualified enquiries in technology?
Start with a free, capped snapshot of one buyer journey: the questions your customers ask, who gets named, and where enquiries leak. If the economics hold, we scope a programme.