Overview Leaderboard Methodology
Industry Report

Tech & Science Outlets

Digital publications covering technology, startups, gadgets, and science reporting that offer newsletters, premium articles, and subscription services for enthusiasts and professionals.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,422
Top Brand Overall?
Wired
63/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Wired
94

Highest score on the LBA metric in this industry.

Authority Leader?
Ars Technica
40

Highest score on the Authority metric in this industry.

TOM Leader?
Wired
81

Highest score on the TOM metric in this industry.

Tech & Science Outlets has no dominant brand in AI responses

Wired is the top-ranked brand here, but its overall score of 63 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Tech & Science Outlets with varied recommendations from query to query - users get a different set of suggestions each time. This is the kind of category where mid-tier brands still have room to move up.

Brand Leaderboard All 36 Tech & Science Outlets brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Wired
wired.com
 94
33
81
63
2
Ars Technica
arstechnica.com
 85
40
68
61
3
The Verge
theverge.com
 80
34
79
60
4
MIT Technology Review
technologyreview.com
 92
20
55
48
5
TechCrunch
techcrunch.com
 81
37
37
48
6
Nature
nature.com
 67
19
61
43
7
Quanta Magazine
quantamagazine.org
 88
9
52
37
8
New Scientist
newscientist.com
 85
9
51
36
9
IEEE Spectrum
ieee.org
 86
9
29
30
10
Science
science.org
 25
19
47
29
11
The Information
theinformation.com
 78
11
23
28
12
Stratechery
stratechery.com
 87
9
19
26
13
Popular Science
popsci.com
 83
8
19
25
14
Science News
sciencenews.org
 81
8
14
23
15
Smithsonian Magazine
smithsonianmag.com
 82
8
15
23
16
AnandTech
anandtech.com
 94
9
9
22
17
CNET
cnet.com
 84
8
11
22
18
Engadget
engadget.com
 77
8
14
22
19
404 Media
404media.co
 78
8
12
21
20
9to5Mac
9to5mac.com
 87
9
9
21
21
Android Authority
androidauthority.com
 90
9
9
21
22
The Register
theregister.com
 86
9
9
21
23
Tom's Hardware
tomshardware.com
 88
9
9
21
24
XDA Developers
xda-developers.com
 87
9
9
21
25
MacRumors
macrumors.com
 83
8
8
20
26
PCMag
pcmag.com
 81
8
8
20
27
STAT
statnews.com
 67
7
14
20
28
Gizmodo
gizmodo.com
 77
8
8
19
29
TechRadar
techradar.com
 77
8
8
19
30
VentureBeat
venturebeat.com
 78
8
8
19
31
ZDNET
zdnet.com
 80
8
8
19
32
Mashable
mashable.com
 72
7
7
18
33
Tech in Asia
techinasia.com
 73
7
7
18
34
Rest of World
restofworld.org
 71
7
7
17
35
Sifted
sifted.eu
 51
5
5
13
36
Scientific American
scientificamerican.com
 0
12
49
11

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Tech & Science Outlets prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 281 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →