AI Visibility Scorecard
data-aims.com · Professional Services
At 1.97/10, Data Aims, LLC is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Backlinks, Domain Trust and News Mentions. That is fixable, and the signals below show where to start.
AI engines read this profile 7 times
Claude · Parallel · ChatGPT · Meta AI
3
AI Naming Predictability
iRarely named · 3/100
Professional Services average 8
See what's behind this score →1.97
AEO Visibility
iNear-invisible · 1.97/10
Professional Services average 2.3
See what's behind this score →-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Professional Services average 1. Claim your page and Engagemii is your first.
See what's behind this score →25
Muse Index Score
iAI agent readiness
Basic · 25/100
Professional Services average 18
See what's behind this score →0
from our crawl and measurement
Data Aims, LLC is a Indianapolis, IN business whose own site puts it this way: "Data Aims is an evaluation and research consulting firm that works with organizations and programs to decide what to measure, how to measure it, and how to use data to tell their story." When AI engines look at it, they find little to work with. It scores 1.97 out of 10.
On its own pages the site does well on a clear heading structure and crawler access and the files AI engines look for. It is passable on a partly stated business identity, a few credibility markers and partial sitemap and link coverage. What holds it back is structured data describing the business.
Off the page there is only faint evidence that only a handful of sites link to it. Beyond that, the domain does not yet read as established, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.
AI crawlers have read this profile 7 times in our tracking, including ClaudeBot (Anthropic), ShapBot (Parallel) and GPTBot (ChatGPT). The site links to no social profiles, so there is nothing tying the brand to a wider presence. The business dates to 2020.
Strong · Good · Fair · Weak
Structured Data
Fair
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Good
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
Fair
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
-
Not yet measured.
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 read your site and name it in answers. At 1.97/10, Data Aims, LLC is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
Who is Data Aims?
Aimee Schoeph (they/them) is a self-proclaimed Data Nerd who has a passion for translating “nerd speak” into “real speak.” They have worked with organizations across the country to identify, collect, analyze, and report data in a meaningful way that is accessible to a variety of stakeholders. They started their career gathering data on childhood well-being for youth-serving organizations across Indiana.
Where to Start?
Data Aims was created to help organizations simplify data collection tools and processes to achieve high quality data. We want to make it easier for you to report your impact to your funders, your community, and within your organization, without breaking your budget.
What do we do with the data we collect? How should we interpret the data we collect?
If you have been collecting data to “check the box” but want to get more out of that data, we can sit down with you to discuss how to analyze and use your data to make informed programmatic decisions. We can also help you identify data points to consider to meet your future goals or potential funding opportunities.
We were awarded a grant for a new program! How do we track the data we need?
First of all, congratulations! We know that funder data collection requirements can be daunting, and we want to help! • We can help you interpret funder data collection requirements, refine (or create) your logic model, identify the key outcomes to measure, and strategies for data collection that meet those requirements and are also sustainable given staff capacity and the grant’s budget.
How do we know if we are meeting the needs of our community??
The first step is to regularly ask the community what they need AND how you can best address those needs. • If your community is your city, county, or region, or the people your organization serves, we can help you ask about needs in a way that will get open and honest feedback that can help you determine the best programming to address those needs. Start Here
ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on November 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/data-aims
Cite this score: Engagemii (2026). "AEO Score for Data Aims, LLC." Retrieved from https://engagemii.com/aeo/brands/data-aims
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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