AI Visibility Scorecard
Attribution
attributionapp.io · Technology
At 2.32/10, Attribution 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 Authority and News & Press. That is fixable, and the signals below show where to start.
AI engines read this profile 1 times
Claude
19
AI Naming Predictability
iRarely named · 19/100
Technology average 28
Top 49% of Technology
See what's behind this score →2.32
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →75
Muse Index Score
iAI agent readiness
Transactable · 75/100
Technology average 17
See what's behind this score →12
About Attribution
from our crawl and measurement
Attribution is one of the businesses we track in the Technology space. When AI engines look at it, they find little to work with. It scores 2.32 out of 10.
Our crawl found structured data on the page (WebPage, BreadcrumbList, WebSite) and a readable heading structure. It is missing an llms.txt file and a sitemap.
AI crawlers have read this profile once in our tracking, including ClaudeBot (Anthropic).
- Company ·
- Attribution
- Website ·
- attributionapp.io
- Industry ·
- Technology
- Site status ·
- Live (The website showed an active business site when last checked (Nov 1, 2026).)
- Last scored ·
- Nov 9, 2026
The 6 on-page signals AI reads
Strong · Good · Fair · Weak
Structured Data
Strong
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
Fair
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.
The 6 off-page signals AI reads
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.
What this score means
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can read your site and name it in answers. At 2.32/10, Attribution is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
Frequently Asked Questions
What is the best AI tool for marketing attribution?
An AI tool for marketing attribution is only as good as the data it works on. AI recommendations built on platform-reported conversion data inherit the structural double-counting problem of conversion APIs — multiple ad platforms each claim credit for the same revenue, so the recommendations are based on a number that doesn't match actual revenue.
Can AI optimize my marketing budget?
Yes, AI can analyze marketing performance data and recommend how to reallocate budget across channels, campaigns, and timeframes. The accuracy of those recommendations depends entirely on the underlying data. AI working on platform-reported conversion data inherits the double-counting problem that comes with conversion APIs — multiple platforms claiming credit for the same revenue.
What is multi-touch attribution?
Multi-touch attribution is a marketing measurement method that assigns credit to every touchpoint a customer interacts with before converting — not just the last click. It tracks the full journey across channels like paid search, social ads, email, and organic so marketers can see which combination of touches actually drives revenue.
What is the difference between multi-touch attribution and marketing mix modeling?
Multi-touch attribution (MTA) tracks individual user journeys and assigns credit to specific touchpoints using deterministic, user-level data. Marketing mix modeling (MMM) uses aggregate statistical analysis to estimate how budget allocation across channels affects total revenue — it does not track individual users. MTA is precise but limited to trackable digital channels.
What is incrementality testing in marketing?
Incrementality testing measures whether a marketing campaign caused conversions that would not have happened otherwise. The most common methods are geo holdout tests (run the campaign in some regions, pause it in others) and synthetic control tests. By comparing conversion rates between test and control groups, incrementality testing reveals the true causal impact of your spend — not just correlation.
Is this your brand?
The exact fixes for Attribution
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Why your brand doesn't show up in ChatGPT answers (and how to fix it)
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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Source & Attribution
Scored by Engagemii on November 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/attributionapp-io
Cite this score: Engagemii (2026). "AEO Score for Attribution." Retrieved from https://engagemii.com/aeo/brands/attributionapp-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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