Reference source · tracked monthly

gatech.edu

Citation profile

Where this domain grounds AI answers in Oil & Gas, how much of each tracked industry it carries, and which brands depend on it.

October 2026 edition

gatech.edu ranks #283 of 1k cited domains in Oil & Gas, grounding 1.4% of citations in this all 4 models cut. Across the index, its strongest measured position is Oil & Gas at 1.4%, and it appears in 1 of 31 published industries. Sampled answers that cite it name 8 tracked brands.

Source profile · October 2026 · Goodie AI Visibility Index

Source snapshot

Oil & Gas · all 4 models
Citation share
1.4%
— no second month yet
Industry rank
#283
of 1k cited domains
Industries cited in
1/31
1 live · 0 preview
Source type
Reference
Inferred from the domain
Brands named alongside
8
In 59 sampled answers that cite it

Citation footprint by industry

All-model · All markets
Every industry where gatech.edu is cited, by citation share
Industry Edition Citation share Industry rank Month-over-month Δ
Oil & Gas Current live
1.4%
#283 —
1 of 31 published industries cite this domain above their display threshold Share and movement are measured independently in each industry

Brands named alongside gatech.edu

In sampled answers that cite this source
Tracked brands named in sampled answers that cite gatech.edu, by number of answers
BrandIndustryShared answersVisibility scoreIndustry rank
BP Oil & Gas 54
58.4
#5
Shell Oil & Gas 53
60.4
#4
TotalEnergies Oil & Gas 53
67.0
#2
Chevron Oil & Gas 51
53.2
#6
ExxonMobil Oil & Gas 45
66.2
#3
Equinor Oil & Gas 24
33.7
#10
Eni Oil & Gas 15
33.9
#9
Saudi Aramco Oil & Gas 10
76.3
#1
8 tracked brands named in 59 sampled answers Counted from stored answers that name the brand and cite the source
Our Methodology

Our Approach to Gathering AI Visibility Data

We process millions of real prompts across AI Mode, ChatGPT, Copilot and Perplexity, then track which brands, products, and domains show up in the answers. That's the raw data behind every score in the Index.

Real Intent Capture

Each tracked industry has a fixed set of prompts modelled on how people actually ask about it, so one month can be compared directly with the next.

Global Model Interrogation

We run each industry's prompts across the tracked models in each market we cover, so each market is scored on its own answers rather than on a global average applied everywhere.

Attribution Mapping

We analyze the generated answers to capture the "Kingmaker" domains: the specific sources models cite most often in the answers that name a brand, so you can see which sources the models lean on where you appear and where you do not.

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FAQ · Oil & Gas

Questions?
We Have
the Answers.

A citation profile shows how often a domain is cited as a source in sampled AI answers, and which brands those citations support.

gatech.edu currently grounds 1.4% of cited answers in Oil & Gas.

Monthly. Each edition re-samples the tracked prompt set so month-over-month figures are directly comparable.