AI Visibility Scorecard
macroroundup.com · Education
Somewhat visible. AI bots can read Macro Roundup, but it is missing the structured signals that push citation rate above competitors.
Monitoring for AI engine activity
In the Engagemii AEO index
#312,024 of 937,379 in Education for AI visibility
5
AEO Visibility
iBorderline · 5.1/10
30
Muse Index Score
iAI agent readiness
Agent-ready · 30/100
4
AI Adoption
iBasic · 4/100
from our crawl and measurement
"Edward Conard is an American businessman, author, and scholar. A retired partner of Bain Capital and adjunct fellow at the American Enterprise Institute, he is the author of two top-ten New." That is how Ed Conard's Macro Roundup: Curated Economic Research & Commentary introduces itself. Its AI visibility score is 5.1 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (Person, Organization, NewsArticle) and a readable heading structure. It is missing an llms.txt file and a sitemap.
Strong · Good · Fair · Weak
Structured Data
Good
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Good
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
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 5.1/10, Macro Roundup has a working base to build on - fixable, and the signals above are where to start.
Why has shipping capacity to America not regained its prior utilization?
Core argument: The U.S.-bound shipping network converted about 89% of potential fleet capacity into effective service in 2016–2019, but aggregate utilization fell below 70% in 2021–2022 as ships waited at anchor, steamed slowly, or sailed around maritime bottlenecks.In 2016–2019, the U.S.-bound shipping network turned about 89% of the fleet’s potential capacity into effective service [Figure 3.5].
What drove the upward revision to second-quarter GDP growth?
Core argument: U.S. real GDP growth in Q2 was revised up 0.7pp to +2.2% quarter-over-quarter annualized, led by upward revisions to consumption (+0.4pp to +3.8%) and investment (+1.9pp to +4.6%).Real GDP was revised up by 0.7pp to +2.2% in Q2 (quarter-over-quarter annualized), largely reflecting upward revisions to consumption (+0.4pp to +3.8%) and investment (+1.9pp to +4.6%) growth.
How Much Revenue Does The AI Buildout Need In 2030?
AI Summary. The authors estimate AI capital spending of $560bn in 2026 and, in a high-investment case, $3.5tn of net AI capital in service by 2030, requiring roughly $1.3tn in annual infrastructure revenue once depreciation, operating costs and a 15% return are covered. That implies 7.4x growth from current annualized revenues, with downstream revenues of $1.9–2.6tn.
How much annual revenue must AI infrastructure generate to justify investment?
Core argument: In a high investment case with $3.5tn of net AI capital in service, the authors estimate AI infrastructure must generate $1.3tn of annual revenue by 2030, requiring 7.4x growth (59% CAGR) from today’s annualized revenues.We estimate AI CapEx to be $560B in 2026, 64% of the total declared by the hyperscalers.
Are long-term Treasury yields reaching their highest levels in decades?
Core argument: The 10-year US Treasury yield briefly traded at 5.34% on Thursday, rising above its 2007 peak to its highest level since 2002.The US benchmark yield touched its highest level since 2002, the latest milestone in a monthslong selloff in global sovereign debt.
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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 October 4, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/macroroundup
Cite this score: Engagemii (2026). "AEO Score for Macro Roundup." Retrieved from https://engagemii.com/aeo/brands/macroroundup
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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