PROOF — SEO and AEO Scoring Tool for Search and AI Visibility

PROOF is a SEO and AEO scoring tool that audits any page across seven dimensions for search engine optimization and answer engine optimization readiness. SEO and AEO scoring helps you understand whether your content will rank in search engines like Google and Bing, and whether AI answer engines like ChatGPT, Claude, Gemini, and Perplexity can discover, parse, and cite your pages. According to research published by Anthropic and OpenAI in 2024, large language models preferentially cite content that is structured, attributed, accessible to AI crawlers, and shaped around clear questions with direct answers. PROOF scores your page on exactly these SEO and AEO signals before you publish.

What is AEO and how does AEO scoring work?

AEO is defined as Answer Engine Optimization. AEO refers to the practice of optimizing web content so it surfaces in AI-powered answer engines including ChatGPT from OpenAI, Claude from Anthropic, Gemini from Google, and Perplexity. AEO scoring evaluates how well a page is structured for AI extraction: question-shaped headings, direct answers in opening paragraphs, FAQ schema, named authors, citation patterns, and explicit definitions. According to SparkToro research, AI answer engines now influence over 30 percent of B2B information discovery, making AEO a critical extension of traditional SEO. Pages that score well on AEO get cited by AI tools, while pages that score poorly remain invisible.

What is SEO and how is SEO different from AEO?

SEO is defined as Search Engine Optimization, the practice of optimizing pages to rank in search engine result pages (SERPs). SEO rewards keywords, backlinks, page speed, mobile responsiveness, and structured data. AEO rewards clarity, citations, named authors, definitions, lists, and access for AI crawlers. The two practices overlap but are not identical. A page can rank well in Google search yet remain invisible to ChatGPT if it blocks GPTBot in robots.txt. Conversely, a page with strong AEO signals but weak backlinks may surface in AI answers without ranking on Google. Modern content strategy requires both SEO and AEO together, which is why PROOF scores both dimensions in a single audit.

How does PROOF score a page across SEO and AEO dimensions?

PROOF scores a page across nine dimensions totalling 100 points. Technical SEO covers title length, meta description, single H1, URL structure, and mobile viewport. On-page SEO measures keyword presence in title, H1, meta description, URL slug, opening 100 words, and keyword density. Topical coverage rewards pages that use 5 to 7 distinct related phrases. Content quality measures word count, sentence length, heading hierarchy, and image alt text. Structured data scoring checks for Schema.org JSON-LD with Article, Organization, and FAQPage types. AEO readiness covers question patterns, direct answers, lists, citations, author signals, dates, and definitions. AI Discoverability checks robots.txt rules for major AI crawlers. Authority signals score internal links, external citations, and metadata. AEO readiness and On-page SEO carry the highest weight because they predict both ranking and AI citation.

What is llms.txt and why does it matter?

llms.txt refers to a proposed standard file placed at the root of a domain that gives AI tools a curated map of important content. Similar to robots.txt but designed specifically for large language models, llms.txt helps AI tools navigate a site efficiently. Anthropic proposed the llms.txt standard in 2024 and it is gaining adoption across major content sites including Stripe, Anthropic, and several developer documentation platforms. Adding an llms.txt file is one of the highest-impact AEO moves a site can make, alongside FAQ schema and AI crawler access in robots.txt.

Which AI crawlers should I allow in robots.txt for AEO?

If you want your content cited by AI answer engines, allow these AI crawlers in your robots.txt file. GPTBot is OpenAI's crawler for ChatGPT and GPT model training. ClaudeBot is Anthropic's crawler for Claude. PerplexityBot is the crawler for Perplexity, the fastest-growing AI search engine. Google-Extended is Google's opt-in flag for Gemini and AI training. CCBot is Common Crawl, which feeds many AI training datasets. Applebot-Extended is Apple's crawler for Apple Intelligence rolling out across iOS and macOS. Blocking any of these AI crawlers makes your site invisible to that AI system. PROOF detects which crawlers are blocked or allowed in your robots.txt and scores your AI Discoverability accordingly.

Why does AEO matter for businesses in MENA and Arabic markets?

AEO and SEO matter especially for businesses in MENA, GCC, and Arabic-speaking markets because AI answer engines are reshaping how people discover services, products, and information across the region. Arabic content optimization is underserved compared to English, which means MENA businesses that adopt AEO early can dominate AI citations in their categories. PROOF includes a fully bilingual English and Arabic interface with right-to-left layout and Arabic-aware keyword detection that handles connected Arabic script correctly. PROOF was built specifically with the MENA market as a first-class focus by Jazal Lab, a Dubai-based product studio.

Frequently asked questions about PROOF

Is PROOF available to use for SEO and AEO audits?

Yes. PROOF is defined as a tool for unlimited SEO and AEO audits. There is no signup required, no credit card, no usage limit. Built and maintained by Jazal Lab as a contribution to the SEO and AEO community.

Does PROOF support Arabic content scoring?

Yes. PROOF has a fully bilingual interface in English and Arabic with right-to-left layout, and scores Arabic content using script-aware tokenization that handles connected Arabic text correctly. Arabic SEO and Arabic AEO scoring work identically to English scoring across all nine dimensions.

What is the difference between a live URL audit and a pre-publish check?

A live URL audit fetches a published page and scores its actual HTML, including server-side signals like robots.txt, llms.txt, and meta tags. A pre-publish check scores draft content you paste in directly, useful before the page goes live. Both produce the same scoring across all eight SEO and AEO dimensions, with server-side checks marked as "verify after publish" for pre-publish mode.

How does PROOF handle pages that block automated access?

For pages protected by Cloudflare, login walls, or paywalls, PROOF includes a capture bookmarklet that runs in your browser tab where you are already past those barriers. Drag the bookmarklet to your bookmarks bar, open any page, and click the bookmark. PROOF opens with the page already analysed.

Features of the PROOF SEO and AEO tool

• Live URL audit with multi-proxy fallback for blocked sites
• Pre-publish SEO and AEO content scoring for unpublished drafts
• Multi-keyword analysis supporting up to five target keywords or phrases
• Topical coverage scoring that rewards distinct related phrases
• Capture bookmarklet that bypasses Cloudflare and login walls
• AI crawler detection across GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, and Applebot-Extended
• Schema.org JSON-LD validation for Article, WebPage, Organization, Person, and FAQPage
• llms.txt file detection and scoring
• Bilingual English and Arabic interface with full RTL layout
• PDF export of complete audit reports
• Test prompts generator for ChatGPT, Claude, Gemini, and Perplexity
• Privacy-first: no signup, no tracking, no data storage

About Jazal Lab

Jazal Lab is an independent product studio based in Dubai, United Arab Emirates, building practical AI tools and digital products with a focus on the MENA region. Jazal Lab is part of Jazal Holdings, a holding company spanning communications, software, and trading subsidiaries. The team behind Jazal Lab brings over 15 years of combined experience in digital marketing, paid media, content strategy, and AI implementation across enterprise clients in the Gulf and globally.

Resources and related pages

• Complete PROOF scoring guide with documentation of every check
• About Jazal Lab and the team behind PROOF
• Privacy policy covering how PROOF handles data
• Terms of service for using PROOF
• Cookie policy for PROOF
• Jazal Holdings parent company website

PROOF is open for use without registration. Click "Run analysis" to score any page in seconds. For a complete walkthrough of every check PROOF performs, open the PROOF scoring guide or learn more about Jazal Lab. For AEO scoring in Arabic content, switch to the Arabic interface using the language toggle in the header.

The PROOF AEO scoring methodology in detail

PROOF combines traditional SEO scoring with modern AEO scoring in a single page audit. The AEO scoring methodology measures eight distinct dimensions. Technical SEO measures page foundations like browser title length, meta description quality, single H1 enforcement, URL structure, and mobile viewport configuration. On-page SEO measures keyword placement across title, H1, meta description, URL slug, opening paragraph, and natural keyword density. Topical coverage rewards pages that use 5 to 7 distinct related phrases, building topical authority that AI engines value. Citation worthiness measures content depth through multi-clause sentences, named entities, and concrete data density. Content quality evaluates word count, sentence length, heading hierarchy, and image alt text coverage. Structured data scoring checks Schema.org JSON-LD markup for Article, Organization, Person, and FAQPage types. AEO readiness scores question patterns, direct answers, lists, citation language, author signals, dates, and explicit definitions. AI Discoverability measures whether AI crawlers like GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, and Applebot-Extended can access your site. Authority signals score internal links, external citations, brand authority markers like sameAs schema, and cross-platform presence.

Why PROOF was built as an AEO and SEO scoring tool

The AEO scoring tool category is dominated by either expensive Western SaaS products like Ahrefs and SEMrush, which start at hundreds of dollars per month, or basic SEO checkers that completely ignore AI answer engines. PROOF fills the gap with a SEO and AEO audit that works for both English and Arabic content. The MENA region has been underserved in AEO tooling specifically. Jazal Lab built PROOF as a AEO scorer for the Gulf, the Levant, and North Africa, where Arabic-first content needs the same AI discoverability rigor that English content gets. PROOF helps SEO professionals, content marketers, founders, and agencies score their pages before publish or audit live URLs after publish.

How AI answer engines decide which pages to cite

AI answer engines like ChatGPT, Claude, Gemini, and Perplexity decide which pages to cite based on a combination of factors: question structure that matches user intent, structured data that signals page type, named author attribution, freshness signals from dates, citation language referencing external sources, list and table formatting that produces extractable chunks, definition language that creates quotable atomic facts, and AI crawler access that allows the page to be retrieved in the first place. PROOF scores all of these signals in a single audit so you can fix the gaps before they cost you visibility. The AEO scoring engine in PROOF was designed around how large language models actually select sources when generating answers.

For more on AEO, SEO, and answer engine optimization, see our complete PROOF scoring documentation, read about the team in about Jazal Lab, or check our privacy policy and terms of service.