AI visibility score
4.2/ 10Fair

▼ 0.8 since Jul 2026

#1,746,508 of 2,705,353 in Technology

As of 2026-08-01 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

Token Counter - Text to Token Conversion for AI Models |
      Token Counter
    Menumy icon

Token Counter - Text to Token Conversion for AI Models | Token Counter Menumy icon

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tokencounter.org · Technology

Borderline visible. AI bots can crawl Token Counter - Text to Token Conversion for AI Models | Token Counter Menumy icon, 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

#1,746,508 of 2,705,353 in Technology for AI visibility

4

AEO Visibility

i

Borderline · 4.2/10

0

Muse Index Score

i

AI agent readiness

Not agent-ready · 0/100

4

AI Adoption

i

Basic · 4/100

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About Token Counter - Text to Token Conversion for AI Models | Token Counter Menumy icon

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 4.2 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.

Industry · Technology
Last scored · Aug 1, 2026

The 6 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.

Off-page authority

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.

What this score means

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 4.2/10, Token Counter - Text to Token Conversion for AI Models | Token Counter Menumy icon is crawlable but under-signaled - 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.

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Source & Attribution

Scored by Engagemii on August 1, 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 - Text to Token Conversion for AI Models | Token Counter Menumy icon." 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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