AI Visibility Scorecard
www.heatmapapi.com · Technology
Borderline visible. AI bots can crawl HeatmapAPI, 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 1 times
Claude
#1,973,134 of 2,705,025 in Technology for AI visibility
4
AEO Visibility
iNear-invisible · 3.8/10
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, though, it is barely visible: it scores 3.8 out of 10.
Under the hood there is structured data on the page (WebSite) and a readable heading structure, but the score is capped by what is missing: an llms.txt file, 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
Fair
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 3.8/10, HeatmapAPI is crawlable but under-signaled - 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.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for HeatmapAPI.
Scored by Engagemii on August 12, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/www-heatmapapi
Cite this score: Engagemii (2026). "AEO Score for HeatmapAPI." Retrieved from https://engagemii.com/aeo/brands/www-heatmapapi
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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