GEOScore
ProductFreeAI search visibility scanner that checks how websites perform in AI search engines (ChatGPT, Perplexity, Gemini). Free scan with 11 technical...
Capabilities5 decomposed
multi-engine ai search visibility scanning
Medium confidenceCrawls and analyzes website content against indexing and retrieval requirements for three distinct AI search engines (ChatGPT, Perplexity, Gemini) using engine-specific crawling patterns and citation detection algorithms. The scanner likely simulates how each engine's retrieval-augmented generation (RAG) pipeline would discover, parse, and rank the site's content, then surfaces visibility gaps specific to each platform's indexing behavior and content preference signals.
Focuses exclusively on AI search engine indexing and retrieval requirements (ChatGPT, Perplexity, Gemini) rather than traditional Google SEO, requiring engine-specific crawling simulation and citation detection logic that differs fundamentally from Googlebot-centric tools like SEMrush or Ahrefs
Addresses an emerging SEO reality that traditional platforms ignore; while Semrush and Ahrefs optimize for Google, GEOScore optimizes for the AI search engines that are becoming traffic drivers for content-heavy sites
11-point technical seo audit for ai search engines
Medium confidenceExecutes a fixed set of 11 automated technical checks against the scanned website, likely covering content structure (headings, semantic HTML), indexability signals (robots.txt, meta tags, canonical URLs), citation formatting (author/date/source attribution), content freshness, and mobile responsiveness. Each check is scored as pass/fail or partial, aggregated into a composite visibility score that indicates readiness for AI search engine discovery and ranking.
Audit checks are specifically calibrated for AI search engine requirements (citation formatting, content structure for RAG pipelines, indexability for non-Google crawlers) rather than generic SEO best practices, requiring domain knowledge of how ChatGPT, Perplexity, and Gemini parse and rank content
More targeted than Lighthouse or PageSpeed Insights (which focus on performance/UX) and more AI-search-specific than Moz or Ahrefs (which optimize for Google); fills a gap in SEO tooling for an emerging traffic channel
per-engine visibility breakdown and recommendations
Medium confidenceDisaggregates the audit results by AI search engine (ChatGPT, Perplexity, Gemini), surfacing engine-specific optimization gaps and recommendations. This likely involves mapping the 11 technical checks to each engine's known indexing behavior and content preferences (e.g., Perplexity may prioritize fresh content and source attribution differently than ChatGPT), then generating tailored remediation suggestions for each platform.
Disaggregates visibility and recommendations by AI search engine rather than treating them as a monolithic 'AI search' category, acknowledging that ChatGPT, Perplexity, and Gemini have different indexing behaviors, content preferences, and citation requirements
More granular than generic 'AI search readiness' scores; enables users to optimize strategically for the engines that matter most to their traffic, rather than applying one-size-fits-all recommendations
free tier scanning with limited depth
Medium confidenceProvides a freemium model where users can run one or more full 11-point audits without payment, removing friction for initial discovery and experimentation. The free tier likely includes the core audit and per-engine breakdown but may exclude features like historical tracking, competitive benchmarking, or detailed remediation guidance that are reserved for paid tiers.
Removes friction for initial discovery by offering a full audit (11 checks, multi-engine breakdown) at no cost, betting that users will upgrade to paid tiers for historical tracking, competitive benchmarking, or ongoing monitoring
Lower barrier to entry than Semrush or Ahrefs (which require paid subscriptions for any meaningful audit); similar freemium approach to Moz's free SEO tools but specialized for AI search rather than Google
website crawling and content parsing for ai search engines
Medium confidenceImplements a web crawler that fetches and parses website content using patterns optimized for AI search engine indexing behavior. The crawler likely respects robots.txt and crawl-delay directives, extracts semantic content structure (headings, paragraphs, lists, tables), detects citation metadata (author, date, source), and analyzes content freshness and mobile rendering. Results are stored in a structured format for analysis against the 11-point audit checks.
Crawling patterns are optimized for AI search engine indexing (e.g., extracting citation metadata, analyzing content structure for RAG pipelines) rather than traditional SEO crawling (e.g., link analysis, keyword density), requiring different parsing logic and metadata extraction
More specialized than generic web crawlers (Screaming Frog, Semrush) which optimize for Google SEO; focuses on signals that matter for AI search engine discovery and ranking rather than traditional SEO metrics
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓content publishers and agencies already tracking measurable referral traffic from AI search engines
- ✓SEO professionals building future-proof content strategies ahead of AI search adoption curves
- ✓niche content creators (research, news, technical documentation) where AI search engines are primary discovery channels
- ✓small businesses and content creators who lack dedicated SEO teams and need actionable, prioritized fixes
- ✓agencies building AI search optimization into client audits
- ✓technical founders validating that their content infrastructure supports AI search indexing
- ✓content publishers with traffic analytics showing differentiated referral patterns across AI search engines
- ✓agencies managing multi-client portfolios and needing to explain AI search optimization to clients
Known Limitations
- ⚠AI search traffic remains <5% of total web traffic for 95%+ of websites; optimization ROI unclear for sites without existing AI search referrals
- ⚠Methodology for the 11 technical checks is not publicly documented—unclear if checks are data-driven correlations or theoretical best practices
- ⚠No real-time monitoring of changes to AI engine indexing policies; checks may become stale as ChatGPT, Perplexity, and Gemini evolve their crawling and ranking algorithms
- ⚠Cannot measure actual visibility in AI search results (e.g., citation frequency, answer prominence) without access to engine query logs
- ⚠Fixed 11-check framework may not capture edge cases or emerging AI search engine requirements; no customization or weighted scoring
- ⚠No explanation of WHY each check matters or HOW it correlates to actual AI search visibility—users must infer importance
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
About
AI search visibility scanner that checks how websites perform in AI search engines (ChatGPT, Perplexity, Gemini). Free scan with 11 technical checks
Unfragile Review
GEOScore fills a critical gap in SEO tooling by measuring visibility across AI search engines—a metric that traditional SEO platforms have largely ignored. The 11-point technical audit provides actionable insights for optimizing content for ChatGPT, Perplexity, and Gemini, though the free tier's value depends heavily on whether your traffic actually comes from these sources.
Pros
- +Addresses an emerging SEO reality: AI search engines are becoming traffic drivers and require different optimization strategies than Google
- +Free scan removes friction for experimentation, making it accessible for small businesses and content creators testing AI visibility
- +Specific technical checks (likely including indexability, content structure, and citation formatting) beat vague SEO scores
Cons
- -AI search traffic remains marginal for most websites; optimizing for Perplexity when 95% of your traffic is Google may be premature
- -Limited transparency on methodology and how the 'technical checks' correlate to actual visibility—unclear if this is data-driven or theoretical
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