How energy buyers and AI assistants see your company, measured and then fixed: AI reputation, earned media in the trade press, and employer reputation.
Your shortlist forms before your salesperson calls
Procurement teams, engineers and executives now start vendor research by asking an AI assistant. It names a handful of firms, and that shortlist exists before anyone talks to sales.
In Report #2 of our Energy AI Visibility Index, 9 of the 49 companies outside each segment's best known names were never named in any answer to their own buyers' questions. Across 1,584 recorded answers, not once.
9 of 49 companies were never named
How often ChatGPT and Perplexity named each company when its buyers asked.
Best known names (20)
Everyone else (40)
Never named (9)
Source: Energy AI Visibility Index, Report #2. 69 Texas energy companies, 1,584 answers, measured 25 September 2026. The Index lists every company with its confidence interval.
The answer an engine gives is assembled from what it has read about you: trade press, podcast transcripts, your own site, directories. So reputation in energy now has parts that feed each other, and we work on them together.
1. What the engines have read about you
Trade press
Podcast transcripts
Your own site
Directories and lists
Earned mediaAdds trade press and podcast sources the buyer reads and the engine cites.
2. The engine
ChatGPT and Perplexityput an answer together from those sources
3. The answer
“Which firms should we look at for this job?”
Your company: named, cited, or missing?
AI reputationAsks your buyers' questions over repeated runs, traces each answer back to step 1, then fixes the sources.
4. The shortlist
Your buyer has a shortlistbefore anyone talks to your sales team
Employer reputationThe same chain, when an engineer or field hire asks about you.
We measure what ChatGPT and Perplexity say about your company and your competitors when your buyers ask, over repeated runs, and trace each answer back to the sources the engine used. Then we fix the sources.
Trade press, bylined articles, conference talks and award entries, chosen for two audiences: the buyers who read them and the AI engines that cite them later.
Employer reputation
Candidates ask AI about employers too. The same measurement, pointed at the questions an engineer or a field hire asks before applying, shows what they hear about you and where it comes from. We scope this per company, so raise it on a call.
Start with an AI Reputation Snapshot
The AI Reputation Snapshot is a fixed-fee read of your company and up to three competitors: how often each engine names you, how often it uses your own site as a source, how it describes you, which sources sit behind those answers, and the first three fixes in priority order. The fee is $1,500, credited in full toward the fix work if you start it within 60 days. A 20-minute call confirms which competitors and questions it covers.
We publish the Energy AI Visibility Index, so we measure this for a living, and we list our own scores in it next to everyone else's. Matt Bertram has co-hosted Oil and Gas Sales and Marketing with Mark LaCour on the Oil & Gas Global Network since 2018 and serves as OGGN's CMO. Much of how we read the energy buyer comes from that show.
Mark LaCour and Matthew Bertram recording at the OGGN podcast booth on an energy conference floor.
What we do not do
Crisis communications. If you are in the middle of an incident you need a crisis firm on call around the clock, and we will tell you so.
Review removal or suppression.
Paid spots on OGGN shows. A booking on the network is the host's call, made on fit.
Book a call
Talk to ModalPoint
A 30-minute call to see if ModalPoint is the right firm and whether the timing makes sense. No obligation either way.
