Is this actually free?

Yes. Run unlimited audits, see your overall score and partial results — no card, no trial expiry. The full 18-module report with issue-level detail is behind a free account.

What data do you store?

The URL you submit, the audit results, and your account email if you sign up. We don't install trackers on your site, don't store your page content, and don't sell data.

Can I run it on client sites?

Absolutely. It only needs a public URL — no code access, no DNS changes, no JavaScript snippets. Run it on your clients' sites, competitors' sites, or that side project you haven't touched in months.

What is Generative Engine Optimization (GEO)?

GEO is the process of optimizing content to be easily retrieved and cited by AI-powered search engines (like Perplexity, ChatGPT Search, and Google AI Overviews). It shifts focus from keyword ranking to content citability and informational trust.

How does factual density impact AI search visibility?

LLMs and Retrieval-Augmented Generation (RAG) models are programmed to extract verified facts and concrete figures (percentages, statistics, names). Content with high factual density is cited significantly more often than conversational filler or marketing-focused copy.

What formatting style works best for RAG engines?

AI crawlers prefer clean, structured content. Using bulleted lists, comparative data tables, bold keyword definitions, and short paragraphs helps headless scrapers ingest and reference your content with minimal token usage.

What is the 'Information Gain' patent in AI search ranking?

Information Gain refers to the unique, non-duplicate informational value a web page brings compared to other search candidate pages. AI search generators prefer to reference pages that introduce specific metrics, direct case study results, or first-hand experience rather than repeating generic copy.

Does writing in the first person limit my GEO citation rate?

Often, yes. RAG retrieval algorithms are built on semantic similarity to encyclopedia-style answers. Heavy use of first-person pronouns ('I', 'we', 'our') and self-referential marketing copy increases token distance from the direct question. Standardize informational areas using objective, third-person declarative styles.

How does the size of text chunks affect RAG citation performance?

RAG engines split pages into fixed token chunks (usually 100 to 300 words). If a single paragraph spans 600 words without subheaders, it gets sliced arbitrarily, breaking the context. Short paragraphs, list tags, and clean tables act as structural boundaries, keeping chunk context intact.

Last updated: August 1, 2026

AI Search Copy Analyzer

GEO Citability Grader

Paste your page content to analyze factual density, formatting structure, and direct answers to optimize rankings in Perplexity, ChatGPT Search, and Gemini.

Presets:

Copy Editor

64 words19s Read

Paste Content Block

Entity & Filler Highlight visualizer

Facts & Entities (12)

Filler Copy (0)

Site Audit Score is an automated software application that performs website checks. Running 18 technical audit modules simultaneously, it processes schema markups, Core Web Vitals, and E-E-A-T scores in under 5 seconds. In comparison, traditional crawlers take 4 minutes to run sequential audits. It uses a lightweight indexing structure that minimizes LLM parsing context window limits, boosting citations by 40% in Perplexity search engines.

GEO Readiness Index

Live Scorer

50Score

Low Factual Ingestion Potential

Your text is heavy on marketing adjectives and light on details. LLMs are highly likely to overlook this chunk during generative search ingestion.

Score Attributes

Factual Density Index60%

RAG Chunk Formatting20%

Direct Answer Alignment65%

Actionable GEO Recommendations

✓

Increase Quantitative Data

Stellar factual density. Keep providing specific numbers, entities, and measurements.

Deploy Structural Markup

Break up long texts. Use Markdown headings (##), bulleted lists, and bold key terms to make chunks easy for AI spiders to reference.

Align Semantic Definition Sentences

Open your core paragraph sections with clear semantic linking tags, such as 'X is a...' or 'Y refers to...' right after your headers.

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🤖 AI & GEO Indexing

Perplexity, ChatGPT Search, RAG chunking, and direct answer factual density scoring.

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Generative Engine Optimization (GEO) & Factual Density Playbook

How RAG retrieval pipelines select cited domains and how to restructure your copy to feed AI knowledge models.

The Mechanics of RAG-driven Citations

Unlike traditional search bots that index keywords to serve blue links, generative models run Retrieval-Augmented Generation (RAG) loops. When a user asks a query, the model scrapes top candidate pages, divides them into text chunks, parses them for semantic relevance, and synthesizes an answer with citations to the most authoritative chunks.

Under the hood, these crawlers convert text into mathematical vector embeddings. Highly detailed sentences (containing numbers, named entities, specific dates, or percentages) yield distinct vector dimensions that make them easy for models to classify as key information sources.

High Fact Density: AI models prefer content blocks packed with figures, statistics, and proper noun entities.
Chunk Ingestability: Formatting with bullet points and tables keeps tokens clean, preventing parsing fragmentation.

GEO Copywriting Checklist

To optimize your copy for generative search citations, avoid marketing fluff and prioritize concrete data structures. Keep your definitions direct, front-load statistics, and back up claims with verified figures.

Avoid vague corporate expressions like 'innovative synergy' or 'passionate teams delivering values'. Write objective, third-person declarative descriptions that provide actual answers to questions.

Direct Answers: Directly follow question headings with direct semantic definition syntax (“X is a...”).
Tables & Lists: Place complex product options or comparison criteria in clean HTML tables.

AI Model Retrieval Preferences

Retrieval Dimension	Favored Structure	Disfavored Structure	Optimization Strategy
Fact Density	Numbers, statistics, dates, entities	Vague claims, sales pitches, buzzwords	Back up every claim with a quantitative statistic or date.
Formatting	Bullet points, tables, bold text	Dense, unformatted text walls	Break up paragraphs every 3-4 sentences; insert list structures.
Semantic Style	Declarative, objective tone	First-person pronouns, high adjectives	Write authoritative, encyclopedia-style copy for informational areas.

Checklist: Restructuring Copy for AI Indexing

Step 1

Quantify Claims

Scan your draft for adjectives like 'extremely fast', 'large database', 'high traffic' and replace them with verified figures (e.g. 'under 2 seconds', '1.2 million rows').

Step 2

Write Declarative Definitions

Begin sections under H2/H3 elements with clear semantic triggers ('is a', 'refers to', 'defines') within the first 15 words.

Step 3

Insert List markups

Add bulleted lists or tabular datasets for multi-part specifications. Headless AI scrapers ingest structured lists easier than prose.