Prominara
Scan Report
https://google.com

Analyzed in 0.2s

AI Visibility Score

0
Needs Work
Fair

Based on 40+ factors across content, entities, authority, and technical readiness

10

Critical Issues

1

Improvements

6

Passed

Platform Readiness

How well optimized for each AI platform

ChatGPT iconChatGPT
50/100

Needs Work

Perplexity iconPerplexity
49/100

Needs Work

Google AI iconGoogle AI
48/100

Needs Work

Claude iconClaude
51/100

Needs Work

Category Breakdown

Detailed analysis by scoring category

Entity & Topics

25%

Named entities, statistics, definitions

59
Topic DefinitionNamed EntitiesStatistics DensityQuestion Coverage+2 more

Authority Signals

25%

Author, dates, citations, schema

36
Author AttributionPublication DateLast ModifiedExternal Citations+2 more

Content Structure

30%

Headings, lists, answer positioning

55
Content LengthParagraph LengthHeading HierarchyAnswer Positioning+4 more

Technical Readiness

20%

Crawlers, speed, semantic HTML

49
AI Crawler AccessSemantic HTMLJavaScript DependencyMeta Tags+3 more

Industry Comparison

How your score compares to industry averages

vs All Industries Average

50/100

2 pts below
Your Score
50
All Industries
52
SaaS
58
E-commerce
52
Healthcare
48
Finance
55
Education
50

Recommendations

Actionable improvements to boost your score

10 critical

Add author attribution

Named authors with proper schema increase E-E-A-T signals and AI visibility.

authoritySignals

Add visible publication date

Visible dates help AI engines assess content freshness.

authoritySignals

Complete meta tag setup

Meta tags help AI engines understand and display your content correctly.

technicalReadiness

Improve heading structure

A clear heading hierarchy helps AI engines understand your content structure.

Add clear definitions

Define key terms using patterns AI engines recognize like "X is..." or "X refers to..."

9 more recommendations

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AI Visibility Analysis: google.com

google.com scored 50/100 on the Prominara AI Visibility Index, which represents a moderate AI visibility score, suggesting the site has foundational elements in place but needs targeted improvements to compete effectively in AI search results. 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 google.com in their responses.

With a score of 50, google.com ranks below the all-industry average of 52. The current rating of “Fair” means there are concrete opportunities to improve AI visibility through targeted optimizations in weaker scoring categories.

What’s in the Full Report

The full analysis for google.com covers 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. google.com’s weakest area is Authority Signals, which is pulling the overall score down by roughly 14 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 google.com.

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.

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.

AI Crawlers and Access Controls

GPTBot is 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.

PerplexityBot is 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-Extended is 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.

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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