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AI visibility score
2.41/ 10Near-invisible

▲ 0.01 since Nov 2026

Top 50% in Technology

As of 2026-11-08 · Engagemii IndexCheck another site →Live terminal →

AI Visibility Scorecard

Token Counter

Token Counter

Unclaimed

tokencounter.org · Technology

At 2.41/10, Token Counter is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Structured Data, E-E-A-T Signals and Backlinks. That is fixable, and the signals below show where to start.

AI engines read this profile 5 times

Claude · Meta AI · Parallel

Top 50% in Technology for AI visibility

19

AI Naming Predictability

i

Rarely named · 19/100

Technology average 28

Top 49% of Technology

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2.41

AEO Visibility

i

Near-invisible · 2.41/10

Technology average 1.8

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-

Network Authority

i

Not connected yet

0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.

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0

Muse Index Score

i

AI agent readiness

Not agent-ready · 0/100

Technology average 17

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4

AI Adoption

i

Basic · 4/100

Technology average 2

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About Token Counter

from our crawl and measurement

Token Counter describes itself simply: "Token Counter - Precisely calculate the costs of using AI models like ChatGPT and GPT-3. Simply input your text to get the corresponding token count and cost estimate, boosting efficiency." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 2.41 out of 10.

On the page itself the strengths are clear: a clear heading structure and sitemaps and entity links AI can follow. It is passable on basic crawler access. What holds it back is a clearly stated business identity, structured data describing the business and credibility markers like credentials or reviews.

Off the page there is only faint evidence that the domain is only lightly established. Beyond that, almost no other sites link to it, 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. Those are earned elsewhere on the web, not fixed on the site itself.

The site links to no social profiles, so there is nothing tying the brand to a wider presence.

Company ·
Token Counter
Industry ·
Technology
Site status ·
Live (The website showed an active business site when last checked (Oct 31, 2026).)
Last scored ·
Nov 8, 2026

The 6 on-page signals AI reads

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

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 2.41/10, Token Counter is near-invisible to AI engines today. That is fixable, and the signals above are where to start.

Frequently Asked Questions

What is Token Counter?

Token Counter is a tool that converts text input by users into tokens. Nowadays, many people utilize various AI models to process information, and these AI models charge based on the number of tokens. The conversion from regular text to tokens is not a direct one-to-one mapping; it requires algorithmic computation to accurately convert text into tokens.

Why do different models have different token counts?

The number of tokens calculated by different models using OpenAI's tiktoken varies due to differences in tokenization strategies. Each model, such as GPT-3, GPT-3.5, and GPT-4, uses a unique tokenizer designed for its specific architecture and training data. These tokenizers break down text into subwords or tokens differently, impacting the total token count.

How much does token count?

Understanding the cost of token usage is essential when working with various language models. The table outlines the costs associated with different models, helping users make informed decisions based on their budget and requirements. The costs are divided into input and output categories.

Picked for Token Counter: 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 8, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/tokencounter-org

Cite this score: Engagemii (2026). "AEO Score for Token Counter." Retrieved from https://engagemii.com/aeo/brands/tokencounter-org

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

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