AI Visibility Scorecard
heatmapapi.com · Technology
Somewhat visible. AI bots can read HeatmapAPI, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 9 times
Meta AI · Claude · Amazon Alexa
#667,144 of 2,705,713 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5.2/10
0
Muse Index Score
iAI agent readiness
Basic · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
HeatmapAPI describes itself simply: "Provides a simple way to create heat map images that can be overlaid onto your own maps, dashboards, or GIS systems." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.2 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (WebSite) and a readable heading structure. It is missing an llms.txt file and a sitemap.
AI crawlers have visited 3 times in our tracking, including ClaudeBot (Anthropic) and AmazonBot (Alexa AI).
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
Fair
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
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 5.2/10, HeatmapAPI has a working base to build on - fixable, and the signals above are where to start.
What is a Heat Map?
A heat map is a graphical representation of two-dimensional data (X, Y, and Value) using colors. Specifically, HeatmapAPI renders the density of latitude/longitude points on a map, helping you visualize where activity is concentrated.
Why Heat Maps?
Clarity: Raw maps often show a sea of points or polygons. Density visualization with colors makes patterns easier to understand. Insight: Heat maps help your users quickly spot clusters, trends, and intensity. Flexibility: Works with small datasets or very large ones.
Why HeatmapAPI?
Real-time rendering: Images are generated instantly. Dynamic updates: Change your data on the fly and get a new image immediately. Flexible data sizes: Works with small or large datasets. Simple integration: Just one image overlay—no need for complex vector rendering.
Is this your brand?
The exact fixes for HeatmapAPI
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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 10, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/heatmapapi
Cite this score: Engagemii (2026). "AEO Score for HeatmapAPI." Retrieved from https://engagemii.com/aeo/brands/heatmapapi
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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