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What we read

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9 words1 min read
Scan reportLive
mintydigital.com4.5s40+ factors checked
45
/100Fair

AI engines see you — partially. 11 critical gaps explain most of it.

Your headroom
+51pts

Directional improvement range if the top fixes are implemented, verified live, and then measured against a post-release window.

Headroom 4596
11

Critical

2

Important

0

Already passing

01 — Per platform

How each AI engine sees you.

Every platform weights signals differently. Four scores, four diagnoses.

ChatGPT iconChatGPT
43/100

Needs Work

Perplexity iconPerplexity
48/100

Needs Work

Google AI iconGoogle AI
45/100

Needs Work

Claude iconClaude
44/100

Needs Work

02½ — Schema

What AI can parse — and what's missing. Structured data is the shortest path to citation.

Schema.org markup tells AI engines what each page is. You're missing 2 high-signal types.

Detected · 0

No structured data detected.

Missing · 2
  • Article
  • Organization
02 — The breakdown

Where points come from. And where they don't.

Four categories, transparent weights, one conclusion per row.

Entity & Topics

25%

Named entities, statistics, definitions, topic coverage

27/100

Authority Signals

25%

Author info, dates, citations, schema markup

49/100

Content Structure

30%

Headings, lists, answer positioning, FAQ depth

42/100

Technical Readiness

20%

AI crawler access, robots.txt, semantic HTML, speed

65/100
03 — The fix list

Evidence-backed, ranked by impact.

The first 3 of 16 are below. The remaining 13 complete the fix list.

Biggest limiter
entity & topic coverage · 27/100
Fastest win
Complete meta tag setup
Most important risk
Add Article schema markup
Analyzed
mintydigital.com
What we read
9 words · 1 heading
Schema
No JSON-LD
Completed
4 h ago
Render
static
Robots
allow
Page type
home
Evidence
Current: 0 lists
Target:  2-5 lists per 1,000 words

Page length: 9 words across 1 heading.

First paragraph (candidate to bullet-ify):
"Checking your browser... This may take a few seconds."
Why it matters

The page currently lacks structured lists, which are crucial for helping AI engines extract and present key points effectively. By incorporating lists, you can enhance the clarity of your content and improve its chances of being cited in AI-generated responses.

Suggested patch
Consider adding 2-5 structured lists throughout the content to improve organization and readability.
13 more findings

Unlock the full implementation pack.

Every remaining finding with a copy-pasteable patch, the source snippet from your page, and a one-click guide to ship the fix.

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Go from 45 to 96.

Save this scan, unlock every fix, track progress over time, and monitor every AI mention of your brand.

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  • Every fix, ranked by impact

    Code snippets and a step-by-step guide per finding — starting with the 13 hidden above.

  • Every citation, traced to its source

    The Reddit thread, G2 review, or media mention behind each AI answer — with a playbook per source type.

  • Share of voice, live

    How often AI cites you vs the 3–5 named competitors in your category. Updated weekly.

  • Catch every hallucination

    When AI lies about your brand, we extract the claim, check your facts, and hand you the correction playbook.

Scan notes — the analysis

AI Visibility Analysis: mintydigital.com

mintydigital.com scored 45/100 on the Prominara AI Visibility Index, which represents a score that indicates significant opportunities for improvement, as the site currently lacks many of the signals that AI search engines look for when selecting sources to cite. This analysis evaluates over 40 factors across four key categories: content structure, entity and topic coverage, authority signals, and technical readiness. The score reflects how likely AI search engines like ChatGPT, Perplexity, and Google AI are to discover, understand, and cite content from mintydigital.com in their responses.

With a score of 45, mintydigital.com ranks below the all-industry average of 52. The current rating of Fair means prioritizing the critical recommendations below will yield the most significant improvements in AI search visibility.

Scan notes — what’s in the full report

What’s in the Full Report

The full analysis for mintydigital.comcovers four weighted categories — Content Structure (30%), Entity & Topics (25%), Authority Signals (25%), and Technical Readiness (20%) — and measures readiness across ChatGPT, Perplexity, Google AI, and Claude. mintydigital.com’s weakest area is Entity & Topics, which is pulling the overall score down by roughly 19 points relative to the site’s stronger categories. Sign in to unlock the personalized action plan, factor-level diagnostics, and platform-specific readiness scores for mintydigital.com.

Reference — what it measures

What Is an AI Visibility Score?

An AI visibility score measures how likely a website is to appear in and be cited by AI-powered search engines and assistants. As AI tools like ChatGPT, Perplexity, Google AI Overviews, and Claude become primary information sources for millions of users, traditional SEO alone is no longer sufficient. Generative Engine Optimization (GEO) is the practice of optimizing content specifically for these AI systems.

Unlike traditional search engines that rank pages in a list, AI search engines synthesize information from multiple sources into a single response. Being cited in these responses requires content that is factually accurate, well-structured, authoritative, and technically accessible to AI crawlers. The AI visibility score quantifies how well a page meets these requirements across the four key categories that AI systems evaluate when selecting sources.

A high AI visibility score correlates with increased brand mentions in AI-generated responses, improved organic reach through AI search platforms, and stronger positioning as a trusted source in your industry. Regular monitoring and optimization of AI visibility factors ensures that your content remains competitive as AI search continues to evolve.

Reference — how scoring works

How Scoring Works

The Prominara AI Visibility Score is calculated by analyzing over 40 individual factors grouped into four weighted categories: Content Structure (30%), Entity & Topics (25%), Authority Signals (25%), and Technical Readiness (20%). Each factor is scored based on industry best practices and validated against how leading AI platforms select and cite sources.

Content Structure carries the highest weight because AI models fundamentally need well-organized content to extract accurate information. Entity & Topics and Authority Signals share equal weight, reflecting the dual importance of topical depth and source credibility. Technical Readiness has the lowest weight but serves as a prerequisite: even perfectly optimized content cannot be cited if AI crawlers cannot access it.

Scores range from 0 to 100. A score of 90 or above indicates excellent optimization, 70 to 89 represents strong performance with minor improvements needed, 50 to 69 shows moderate optimization with clear opportunities for growth, and below 50 indicates significant areas requiring attention. The industry average across all sectors is approximately 52, meaning most websites have substantial room for improvement in AI visibility.

Reference — AI crawlers & access controls

AI Crawlers and Access Controls

GPTBotis OpenAI's web crawler. It discovers and ingests content that ChatGPT and related products use to produce responses. To allow GPTBot, ensure your robots.txt does not disallow the user-agent GPTBot. Blocking it removes your site from ChatGPT's answer surface and eliminates one of the largest sources of AI citation traffic.

PerplexityBotis Perplexity AI's crawler. Perplexity is a citation-first AI search engine, meaning it explicitly links to the sources it quotes. Allowing PerplexityBot is a prerequisite for being cited; content freshness, factual density, and unique first-party data strongly influence citation likelihood.

Google-Extendedis a distinct user-agent token that controls whether Google may use a site's content to train and ground its generative AI products, including AI Overviews and Gemini. Allowing Google-Extended keeps content eligible for inclusion in AI Overviews without affecting traditional Google Search rankings, while blocking it removes the site from Google's AI answer surface.

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Originally a Google search quality framework, E-E-A-T is now a leading proxy for how AI systems evaluate source credibility. Strong signals include clear author attribution with credentials, publication and last-updated dates, citations to authoritative sources, transparent methodology, and Schema.org structured data.

llms.txt is an emerging standard that lets site owners publish a machine-readable map of their most important content for large language models. Placed at /llms.txt, it mirrors the spirit of robots.txt and sitemap.xml but is optimized for LLM consumption: concise descriptions, canonical URLs, and priority hints. Adoption is growing across AI platforms.

Questions

Frequently Asked Questions

What is an AI visibility score?

An AI visibility score measures how likely a website is to be discovered, understood, and cited by AI-powered search engines such as ChatGPT, Perplexity, Google AI Overviews, and Claude. It quantifies how well a site meets the signals AI systems use when selecting sources to quote: content structure, entity and topic depth, authority signals, and technical readiness. Scores range from 0 to 100, with the all-industry average near 52.

How does Prominara calculate the AI visibility score?

Prominara analyzes over 40 individual factors grouped into four weighted categories: Content Structure (30%), Entity & Topics (25%), Authority Signals (25%), and Technical Readiness (20%). Each factor is scored against industry best practices and validated against how leading AI platforms actually select sources. The final score is a weighted composite that reflects a site’s overall readiness for generative engine optimization (GEO).

What is GPTBot and how do I allow it?

GPTBot is OpenAI’s web crawler that discovers content for ChatGPT and related products. To allow GPTBot, your robots.txt should either explicitly permit the user-agent "GPTBot" or omit it from any Disallow rules. Blocking GPTBot prevents ChatGPT from citing your content in responses, reducing AI visibility. You can verify access with a robots.txt checker or by curling your robots.txt file.

What is PerplexityBot and why does it matter?

PerplexityBot is Perplexity AI’s crawler. Perplexity is a search-focused AI engine that provides inline citations to its sources, making it one of the highest-signal platforms for attributed AI visibility. Allowing PerplexityBot in robots.txt is a prerequisite for being cited; content freshness, factual density, and unique data strongly influence citation likelihood.

What is Google-Extended?

Google-Extended is a separate user-agent token that controls whether Google may use your content to train and ground its generative AI products, including AI Overviews in Search and Gemini. Allowing Google-Extended keeps your content eligible for inclusion in AI Overviews. Blocking it removes you from Google’s AI answer surface without affecting traditional Google Search rankings.

What is llms.txt?

llms.txt is an emerging standard that lets site owners publish a machine-readable map of their most important content for large language models. Placed at /llms.txt, it mirrors the spirit of robots.txt and sitemap.xml but is optimized for LLM consumption: concise descriptions, canonical URLs, and priority hints. It is not yet universally supported but adoption is growing across AI platforms.

What are E-E-A-T signals and why do AI systems care?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It originated as a Google search quality framework and is now a leading proxy for how AI systems evaluate source credibility. Strong E-E-A-T signals include clear author attribution with credentials, publication and last-updated dates, citations to authoritative sources, transparent methodology, and Schema.org structured data. AI platforms use these signals to differentiate expert content from generic filler when choosing whom to cite.

How often should I re-scan my site for AI visibility?

Re-scan after any meaningful content or technical change — new pages, redesigns, schema updates, or robots.txt changes. For sites under active optimization, a weekly scan is typical; for stable sites, monthly is sufficient. The AI search landscape itself is changing rapidly, so a baseline re-scan every 30 days catches platform-level shifts in what AI systems reward.

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