AI Visibility Scorecard
gofetch.fail · Technology
Somewhat visible. AI bots can read GoFetch, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 6 times
Claude · Meta AI · Apple Intelligence
#181,485 of 2,707,329 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.9/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
GoFetch describes itself simply: "A new microarchitectural side-channel attack exploiting data memory-dependent prefetchers in Apple silicons." Its AI visibility score is 5.9 out of 10: the engines can find it, but they do not have much to hold on to.
Under the hood there is a readable heading structure, but the score is capped by what is missing: structured data describing the business, an llms.txt file, a sitemap.
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Weak
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Strong
Recognized in AI knowledge graphs.
News & Press
Fair
Press and news coverage.
Community
Good
Forum and community discussion.
Social Mentions
Weak
No social discussion found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 5.9/10, GoFetch has a working base to build on - fixable, and the signals above are where to start.
What is a Cache Side-Channel Attack?
Modern processors use caches to reduce a program's memory access latency. If data has been accessed before, it gets cached, which makes subsequent accesses to it faster. Since the cache is shared by processes running on the same machine, attackers co-located to the same machine can monitor the cache's state to deduce a victim's access pattern.
What is constant-time programming?
Constant-time programming is a paradigm that aims to harden code against side-channel attacks by ensuring that all operations take the same amount of time, regardless of their operands. In particular, constant-time code cannot contain secret-dependent branches, loops, or other control structures.
What is a data memory-dependent prefetcher?
Prefetchers are a hardware optimization that predicts memory addresses to be accessed in the near future and fetches the data into the cache accordingly from the main memory. To make a prediction, classical prefetchers use the address trace of previous demand accesses. This strategy performs poorly when it comes to irregular access patterns like linked-list traversals.
Are there other DMP-vulnerable cryptographic implementations?
We don't know. Our attack relies on the fact that it is possible to craft inputs to control specific intermediate states, making them contain memory addresses in a key-dependent way. The DMP then serves as an oracle, allowing us to learn if the intermediate state indeed looks like a pointer and thus leaks secret key bits.
Can the DMP be disabled?
Yes, but only on some processors. We observe that the DIT bit set on m3 CPUs effectively disables the DMP. This is not the case for the m1 and m2. Also, Intel's counterpart, DOIT bit, can be used to disable DMP on the Raptor Lake processors. Update (April 2024): A HID configuration bit (SYS_APL_HID11_EL1[30]) was found by Hector Martin (marcan) to disable DMPs on m1 and m2 CPUs.
Is this your brand?
The exact fixes for GoFetch
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The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/gofetch-fail
Cite this score: Engagemii (2026). "AEO Score for GoFetch." Retrieved from https://engagemii.com/aeo/brands/gofetch-fail
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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