AI Visibility Scorecard
nanotps.com · Technology
Borderline visible. AI bots can crawl Nano TPS Historical Chart, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 2 times
Claude · Meta AI
#2,265,832 of 2,705,505 in Technology for AI visibility
<1
4
AEO Visibility
iNear-invisible · 3.5/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Nano TPS Historical Chart is a business whose own site puts it this way: "The most accurate TPS statistics for the Nano cryptocurrency." When AI engines look at it, they find little to work with. It scores 3.5 out of 10.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and 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
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
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
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
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 3.5/10, Nano TPS Historical Chart is crawlable but under-signaled - fixable, and the signals above are where to start.
So how does this work?
Each day nanotps.com checks the network's performance via a brief burst of activity. Blocks are broadcast all at once from a few thousand unique accounts, ensuring conditions are as favorable as can be. I've tried to make this analysis as fair and straightforward as possible.
How is TPS calculated?
To avoid underestimating the tps, the timer starts the moment the entire batch has been broadcast to all the nodes. We then wait for that many confirmations to occur, which may include blocks from real users. That way other people using the network won't change the results. Once we have our confirmations, we divide the batch size by the number of seconds that have passed. We then divide by 2 to get our final tps.
Why are some days so low?
Nano has suffered several attacks over its history. On days where nothing is happening, the tps can reach its highest values. But when an attacker actually tries to harm the network, performance has dropped dramatically. Usually there's some fixes a few months/years later, but in each case someone then takes the network down again. This is why I think it's really important to keep your nano on the exchanges.
What could raise these numbers?
Better hardware and fewer nodes. Nano's network overhead scales with the square of the number of PRs, so if you're delegating to a small or slow one, consider moving away. There is a security tradeoff in doing so, but if capacity is your goal, this makes sense. In the long term software updates and moving away from ORV may help as well.
What could lower these numbers?
A few GPUs spamming, the introduction of forks, and bandwidth cuts dramatically reduce throughput. Forks take substantially longer to resolve and can be generated faster than normal block spam since every side of a fork shares the same PoW. Those days where the graph reports numbers near zero are ones where an attacker was present.
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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 August 28, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/nanotps
Cite this score: Engagemii (2026). "AEO Score for Nano TPS Historical Chart." Retrieved from https://engagemii.com/aeo/brands/nanotps
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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