When an engineer asks an AI assistant which battery integrators can deliver a 100 MWh project in East Africa, or which transformer manufacturers have the shortest lead times, somebody’s company gets named and somebody’s does not. That, in one sentence, is AI visibility: whether the AI tools your buyers now use to research vendors can find you, understand what you do, and cite you. For energy infrastructure companies, whose sales cycles are long and whose buyers are technical, it is quietly becoming as important as ranking on Google. The numbers explain why.

Buyers have already moved

In G2’s 2026 AI Search Insight Report, 51 percent of B2B software buyers said they now start research in AI chatbots more often than in Google, up from 29 percent in April 2025. Research firm 6sense found that 94 percent of B2B buyers used a large language model at some point during their 2025 buying journey, across a sample of nearly 5,000 buyers, and G2 found that 54 percent of buyers cite AI chatbots as the top influence on their shortlists. These are software-buyer figures, but the behaviour is not confined to software. The same procurement engineers who shortlist SCADA vendors and EPC contractors are typing their questions into the same tools.

The traffic data tells the same story from the other side. Ahrefs measured a 58 percent drop in click-through rate for the first organic result when Google shows an AI Overview above it, across a sample of 300,000 keywords. Zero-click searches in the United States reached 58.5 percent in 2025, and on queries that trigger an AI Overview the zero-click share is around 83 percent. Put simply: even when you rank, fewer people click. What increasingly matters is whether the answer itself mentions you.

Why this hits energy infrastructure harder than most sectors

• Your buyers ask exactly the kind of questions AI answers well. Comparisons, specifications, lead times, standards compliance and reference projects are structured questions with researchable answers. That is what procurement and engineering teams ask, and it is what AI assistants are best at synthesising.
• The buying committee does its homework invisibly. A grid operator evaluating suppliers may never visit your website until the shortlist already exists. If the AI research phase happens without you, you are not losing the click. You are losing the shortlist.
• Trade media carries the citations. Bain found that 89 percent of AI citations for unbranded B2B questions come from third-party sources rather than company websites. AI assistants trust independent coverage, standards bodies and trade publications more than vendor brochures. Being written about matters more than writing about yourself.

What AI visibility actually consists of

Search professionals call the discipline generative engine optimisation, or GEO. In practice it comes down to five things for an industrial company.

1. Entity clarity. AI models need to know exactly what your company is, what it makes, and where it operates. Consistent naming, a precise about page, and structured product specifications give the model something solid to retrieve.
2. Third-party presence. Coverage in trade press, conference proceedings, standards working groups and industry databases is where AI assistants find their citations for unbranded questions. This is the highest leverage channel, and the least controllable one.
3. Answerable content. Pages that state facts plainly, define terms, publish numbers and answer specific questions get quoted. Marketing copy that never commits to a figure does not.
4. Technical accessibility. AI crawlers need to be allowed in, and content needs to be readable without JavaScript gymnastics. Many industrial sites block or break the crawlers by accident.
5. Measurement. Most companies fly blind here. Conductor’s research found that while 94 percent of CMOs plan to increase investment in AI search, only 14 percent track whether AI tools actually cite them. You cannot manage a channel you do not measure.

What an energy infrastructure company should do this quarter

Start by asking the tools your buyers use. Put your own buying questions to ChatGPT, Gemini and Perplexity: who supplies X in market Y, who has delivered Z. Note who gets named and which sources are cited. Then work the citation sources: pitch project stories to the trade press, publish the specification and reference data your buyers actually search for, and fix the crawler basics. Repeat the test quarterly and track the movement. It is unglamorous work, but the compounding effect is real, because AI answers are built from a small set of trusted sources and joining that set is durable advantage.

EnergiTech Media runs AI visibility programmes for energy infrastructure companies, from audits of how AI tools currently describe you through to the editorial and data work that changes the answer. And if you have a project story worth telling, pitch it to the newsroom: independent coverage remains the strongest citation there is.

Frequently asked questions

Is AI visibility just SEO with a new name?

They overlap but they are not the same. SEO optimises for ranked lists of links. GEO optimises for being retrieved, synthesised and cited inside a generated answer. Strong SEO helps, but citation patterns favour third-party sources far more heavily than search rankings do.

Do AI assistants really matter for large capital equipment purchases?

The purchase is not made in a chatbot, but the research increasingly is. With 94 percent of B2B buyers using LLMs somewhere in their journey, according to 6sense, the realistic assumption is that your next RFP shortlist was influenced by an AI summary somebody read months earlier.

How do I find out what AI tools say about my company?

Ask them directly, in the phrasings your customers would use, and record the answers. For a structured version of that exercise across markets and buyer personas, that is exactly what an AI visibility audit is.

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Sources and further reading

• MadX, AI Search Statistics 2026, compiling G2, 6sense, Ahrefs, Bain, Semrush and Conductor data
• G2, 2026 AI Search Insight Report
• 6sense, 2025 B2B buyer research
• Ahrefs, AI Overviews click-through analysis, December 2025
• Bain, AI citation source analysis

Written by the EnergiTech Media newsroom. Last reviewed and updated: August 2026. Statistics are reported figures from the named sources; buying behaviour in industrial sectors may differ from the software-buyer samples several of these studies use.