AI visibility score
1.63/ 10Near-invisible
As of 2026-11-09 · Engagemii indexCheck another site →Live terminal →

AI Visibility Scorecard

EVO REMAP

EVO REMAP

Unclaimed

evoremap.com · Automotive

At 1.63/10, EVO REMAP 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 3 times

Claude

4

AI Naming Predictability

i

Rarely named · 4/100

Automotive average 5

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1.63

AEO Visibility

i

Near-invisible · 1.63/10

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-

Network Authority

i

Not connected yet

0 relationships on record. Businesses in Automotive average 5. Claim your page and Engagemii is your first.

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33

Muse Index Score

i

AI agent readiness

Basic · 33/100

Automotive average 16

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0

AI Adoption

i

None detected · 0/100

Automotive average 0

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About EVO REMAP

from our crawl and measurement

EVO REMAP is a business whose own site puts it this way: "Professional ECU tuning, remap and file service for passenger cars, trucks, agricultural and industrial vehicles." When AI engines look at it, they find little to work with. It scores 1.63 out of 10.

Our crawl found structured data on the page (Person, Organization, WebSite) and a readable heading structure. It is missing an llms.txt file and a sitemap.

AI crawlers have read this profile 3 times in our tracking, including ClaudeBot (Anthropic).

Company ·
EVO REMAP
Website ·
evoremap.com
Industry ·
Automotive
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

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

Good

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 1.63/10, EVO REMAP is near-invisible to AI engines today. That is fixable, and the signals above are where to start.

Frequently Asked Questions

Q: Which tools can be used to read files for submission to your file service?

A: Files can be submitted when read using any master tuning tool available on the market.

Q: Do you supply generic or automated tuning files?

A: No. All tuning files are created manually from the original ECU readout using WinOLS. We do not use automated, AI-generated or template-based files.

Q: What information is required to build a tuning file?

A: An original readout is required, together with ECU type, software number, engine configuration and details of any hardware modifications.

Q: Do you work with heavy-duty, agricultural and industrial ECUs?

A: We work with automotive, heavy-duty, agricultural tractor and selected plant machinery ECUs, subject to software and system compatibility.

Q: Do you work with end customers?

A: No. Our file service is intended exclusively for professional tuners and workshops with appropriate tools and experience.

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Picked for EVO REMAP: AEO & AI Search

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/evoremap

Cite this score: Engagemii (2026). "AEO Score for EVO REMAP." Retrieved from https://engagemii.com/aeo/brands/evoremap

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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