SEO, AEO & GEO Analyzer

What Is SEO, AEO & GEO?

Modern search has evolved beyond the ten blue links. Today, optimizing a website means addressing three distinct layers. SEO (Search Engine Optimization) is the foundational practice of improving a page's visibility in traditional search engine results through meta tags, heading structure, link profiles, and technical health. AEO (Answer Engine Optimization) targets featured snippets, "People Also Ask" boxes, voice search results, and other zero-click answer formats that Google surfaces above organic listings. GEO (Generative Engine Optimization) is the newest layer, focused on making your content citable by AI-powered search engines like ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot.

Each layer has different ranking signals. SEO rewards technical correctness and content relevance. AEO rewards structured, question-and-answer formatting that answer engines can extract directly. GEO rewards schema richness, clear entity definitions, and machine-readable metadata that large language models use to attribute information to specific sources.

This analyzer evaluates all three layers with 28+ individual checks. Enter any URL and receive a detailed breakdown of what is working, what needs attention, and specific recommendations for improvement. The scoring system weights all checks equally, with pass earning full points, warnings earning half points, and failures earning zero.

How the SEO, AEO & GEO Analysis Works

When you enter a URL, the tool fetches the page HTML through a server-side API and parses it to extract structured information. For SEO checks, it examines the title tag, meta description, heading hierarchy (H1/H2/H3), image alt attributes, internal and external link counts, HTTPS status, viewport meta tag, canonical URL, Open Graph tags, Twitter Card metadata, robots.txt, sitemap.xml, and JSON-LD structured data.

For AEO checks, the analyzer looks for FAQPage and HowTo schema markup, question-based headings (headings that start with who, what, when, where, why, or how), direct answer paragraphs positioned immediately after the H1, and the presence of ordered/unordered lists and data tables that Google prefers for featured snippet extraction.

For GEO checks, the tool verifies schema richness (how many distinct schema types are present), breadcrumb schema for site hierarchy, the presence of a llms.txt file (an emerging standard for AI crawler guidance), clear entity definition patterns in the text (phrases like "X is a" or "X refers to"), and an overall AI citation readiness score based on the combination of OG tags, structured data, direct answers, and FAQ markup.

Common Use Cases

• Pre-launch website audit — Run the analyzer on every page before launching a new site to catch missing meta tags, broken heading structures, and absent structured data.
• Competitor analysis— Enter a competitor's URL to see what SEO, AEO, and GEO signals they have in place. Identify gaps in their strategy that you can exploit.
• Content optimization — After publishing a blog post or landing page, check whether it has the right structure for featured snippets and AI citation.
• Technical SEO debugging — Quickly verify that robots.txt, sitemap.xml, canonical URLs, and HTTPS are configured correctly without digging through source code manually.
• Schema validation — Confirm that your JSON-LD markup is being detected and that you have the right schema types (FAQPage, HowTo, WebApplication, BreadcrumbList) for rich results.
• Client reporting — If you manage SEO for clients, use the score and check breakdown as a starting point for monthly reports and improvement roadmaps.
• AI search readiness assessment — Evaluate whether your content is structured in a way that ChatGPT, Perplexity, and Google AI Overviews can cite when generating answers.

Tips and Best Practices

• Fix failures first. Red items (failures) have the biggest impact on your score and visibility. Address missing titles, descriptions, and H1 tags before optimizing warnings.
• Use question-based headings.Headings like "What is X?" and "How does Y work?" directly match the query patterns that trigger featured snippets and "People Also Ask" boxes.
• Add FAQ and HowTo schema. These structured data types are the single most impactful AEO signal. They make your content eligible for rich results and give AI engines extractable question-answer pairs.
• Create a llms.txt file.Place a plain-text file at your site root that describes your site's purpose, structure, and key pages. AI crawlers are beginning to use this file to understand site context.
• Write clear entity definitions.Include sentences like "ToolPilot is a free collection of online developer tools" near the top of your pages. AI models extract and cite these definitional statements.
• Aim for 4+ schema types. Pages with multiple schema types (WebApplication, FAQPage, HowTo, BreadcrumbList) give search engines and AI models a richer understanding of your content.

SEO Analyzer vs Alternatives

Professional SEO tools like Ahrefs, SEMrush, and Moz offer deep analysis including backlink profiles, keyword rankings, and historical data, but they require paid subscriptions starting at $99/month or more. Google Search Console provides first-party data but only for sites you own and verify. Lighthouse (built into Chrome DevTools) covers performance and basic SEO but does not check AEO or GEO signals.

This analyzer fills a specific niche: a free, instant, no-login tool that checks the three layers of modern search optimization in a single scan. It does not replace comprehensive paid tools for ongoing SEO management, but it is the fastest way to get a snapshot of any URL's search readiness across SEO, AEO, and GEO without creating an account or installing software.