{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_seo-gpt","slug":"seo-gpt","name":"SEO GPT","type":"product","url":"https://seovendor.co","page_url":"https://unfragile.ai/seo-gpt","categories":["text-writing"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_seo-gpt__cap_0","uri":"capability://text.generation.language.live.data.augmented.content.generation","name":"live-data-augmented content generation","description":"Generates SEO-optimized article drafts by integrating real-time web data (current news, trending topics, live SERP snippets) into the generation pipeline, rather than relying solely on static training data. The system appears to fetch live context during generation to ground claims in current information, reducing hallucination risk around time-sensitive topics and ensuring references reflect the current state of search results.","intents":["Generate article drafts that reference current events and trending topics without manual research","Create SEO content that reflects live SERP rankings and competitor snippets at generation time","Avoid publishing outdated claims by grounding AI output in real-time web data"],"best_for":["Solo content creators producing time-sensitive SEO articles (news, trends, product reviews)","Small agencies needing to scale first-draft generation without manual competitor research"],"limitations":["Live data sourcing method undocumented — unclear whether it includes real-time SERP rankings, web scraping, or API integrations","No transparency on data freshness guarantees or update frequency","Likely adds latency to generation (data fetching + LLM inference) compared to pure LLM generation","Unclear how live data is weighted vs. training data in final output"],"requires":["Internet connectivity for live data fetching","API access to underlying data sources (undocumented)","Valid user account on SEO GPT platform"],"input_types":["text (topic/keyword)","optional: competitor URLs or SERP context"],"output_types":["text (article draft in markdown or plain text)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_seo-gpt__cap_1","uri":"capability://text.generation.language.seo.optimized.outline.generation.with.keyword.clustering","name":"seo-optimized outline generation with keyword clustering","description":"Automatically structures article outlines by analyzing target keywords, search intent, and competitor content structure, then organizing sections to maximize keyword coverage and semantic relevance. The system likely uses keyword clustering algorithms to group related terms and map them to outline sections, reducing manual outline creation and ensuring comprehensive keyword integration.","intents":["Generate article outlines that naturally incorporate target keywords across sections","Identify semantic keyword clusters to structure multi-section content strategy","Eliminate manual outline creation by auto-generating section hierarchies based on search intent"],"best_for":["Content creators unfamiliar with SEO keyword mapping and outline structure","Teams needing to standardize outline generation across multiple articles"],"limitations":["Keyword clustering approach undocumented — unclear if rule-based, embedding-based, or LLM-driven","No control over outline depth, section count, or keyword density targets","May over-optimize for keyword inclusion at the expense of readability","No integration with external keyword research tools (Ahrefs, SEMrush) to validate keyword difficulty or search volume"],"requires":["Target keyword(s) or topic","Optional: competitor URLs for structure analysis","Valid SEO GPT account"],"input_types":["text (primary keyword, optional secondary keywords)","optional: competitor URLs"],"output_types":["structured text (hierarchical outline with H1-H3 sections)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_seo-gpt__cap_2","uri":"capability://data.processing.analysis.competitor.content.analysis.and.structure.extraction","name":"competitor content analysis and structure extraction","description":"Analyzes top-ranking competitor articles by fetching and parsing their structure, headings, keyword usage, and content depth, then uses this analysis to inform outline and content generation. The system likely performs DOM parsing or web scraping to extract heading hierarchies and section lengths, then applies pattern matching to identify common structural patterns in high-ranking content.","intents":["Understand how top-ranking competitors structure articles on a given topic","Identify content gaps by comparing competitor coverage to generated outline","Match or exceed competitor content depth and structure to improve ranking potential"],"best_for":["Competitive SEO teams needing to reverse-engineer ranking content structure","Solo creators wanting to match competitor article depth without manual analysis"],"limitations":["Competitor analysis limited to publicly accessible content — no access to paywall-protected articles","No analysis of competitor backlink profiles, domain authority, or ranking factors beyond structure","Unclear if analysis includes on-page SEO signals (meta tags, schema markup) or only visible content structure","May violate robots.txt or terms of service of competitor websites depending on scraping method","No real-time SERP ranking data — only analyzes current top results, not historical ranking trends"],"requires":["Competitor URLs or ability to auto-fetch top SERP results","Internet connectivity for web scraping/fetching","Valid SEO GPT account"],"input_types":["text (keyword to fetch competitors for)","optional: explicit competitor URLs"],"output_types":["structured data (competitor analysis report with heading structure, section lengths, keyword frequency)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_seo-gpt__cap_3","uri":"capability://text.generation.language.ai.driven.first.draft.article.generation.with.seo.optimization","name":"ai-driven first-draft article generation with seo optimization","description":"Generates full article drafts by combining the outline structure, live data context, and competitor analysis into a cohesive narrative using an LLM backbone. The system likely uses prompt engineering to enforce keyword inclusion targets, readability standards, and section length constraints, then iteratively refines drafts based on SEO metrics (keyword density, heading hierarchy, readability score).","intents":["Generate complete article drafts from outline in minutes rather than hours of manual writing","Produce SEO-optimized first drafts that require minimal editing before publishing","Maintain consistent keyword integration and readability across multi-section articles"],"best_for":["Content teams needing rapid first-draft generation for volume publishing","Solo creators lacking time for manual article writing"],"limitations":["Generated drafts require editorial review — AI may produce factually incorrect claims despite live data grounding","No control over tone, voice, or brand consistency across multiple articles","Keyword optimization may prioritize keyword density over natural language flow","No built-in plagiarism detection — unclear if generated content is unique or derivative of competitor sources","Free tier likely limits output volume (articles/month or words/month)","No integration with CMS platforms — requires manual copy-paste workflow to publish"],"requires":["Outline structure (auto-generated or manual)","Target keywords and SEO parameters","Valid SEO GPT account with sufficient quota"],"input_types":["structured data (outline with sections and keywords)","text (topic, target audience, tone preferences)"],"output_types":["text (full article draft in markdown or plain text)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_seo-gpt__cap_4","uri":"capability://data.processing.analysis.keyword.density.and.seo.metric.analysis","name":"keyword density and seo metric analysis","description":"Analyzes generated or uploaded content to measure keyword density, heading hierarchy compliance, readability scores, and other on-page SEO signals. The system likely tokenizes content, counts keyword occurrences, validates HTML structure, and applies readability algorithms (Flesch-Kincaid, Gunning Fog) to provide actionable SEO metrics.","intents":["Measure keyword density and distribution across article sections","Validate heading hierarchy (H1, H2, H3) compliance for SEO best practices","Assess content readability and identify overly complex sentences"],"best_for":["Content creators needing to validate SEO optimization before publishing","Teams with strict SEO guidelines requiring metric-based content approval"],"limitations":["Metrics are on-page only — no analysis of off-page factors (backlinks, domain authority, CTR)","Keyword density targets may be outdated (modern SEO prioritizes intent over density)","No comparison to competitor metrics — unclear if generated content is competitive","Readability scores are generic (Flesch-Kincaid) — no industry-specific or audience-specific calibration","No real-time SERP ranking feedback — metrics don't predict actual ranking performance"],"requires":["Article content (text or markdown)","Target keywords for density analysis","Valid SEO GPT account"],"input_types":["text (article content)"],"output_types":["structured data (JSON or dashboard with keyword density, readability score, heading hierarchy, word count)"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_seo-gpt__cap_5","uri":"capability://automation.workflow.batch.article.generation.and.scheduling","name":"batch article generation and scheduling","description":"Enables users to queue multiple article generation requests and process them in batch, with optional scheduling for staggered publication. The system likely implements a job queue (Redis, RabbitMQ, or similar) to manage concurrent generation tasks, with scheduling logic to space out publication times for natural link velocity and to avoid duplicate content penalties.","intents":["Generate multiple articles in bulk without waiting for sequential completion","Schedule article publication across days or weeks to maintain consistent publishing cadence","Manage content calendars by batching generation and scheduling in a single workflow"],"best_for":["Agencies managing multiple client content calendars","Publishers needing to scale content production across dozens of articles"],"limitations":["Free tier likely restricts batch size and scheduling frequency","No integration with CMS platforms — scheduled publication requires manual workflow or webhook setup","Unclear if batch generation prioritizes quality or speed (may degrade output quality under load)","No duplicate content detection across batch — risk of publishing similar articles if keywords overlap","Scheduling is platform-level only — no integration with external publishing tools (WordPress, HubSpot)"],"requires":["Multiple article topics/keywords","Valid SEO GPT account with batch generation quota","Optional: CMS webhook endpoint for automated publication"],"input_types":["structured data (array of topics, keywords, and optional publication dates)"],"output_types":["text (multiple article drafts)","optional: scheduled publication events"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_seo-gpt__cap_6","uri":"capability://text.generation.language.content.template.and.style.customization","name":"content template and style customization","description":"Allows users to define custom article templates, tone preferences, and style guidelines that are applied during generation to maintain brand consistency. The system likely uses prompt engineering or fine-tuning to enforce style constraints, with template variables for dynamic content insertion (author name, publication date, CTA).","intents":["Maintain consistent brand voice and tone across multiple generated articles","Apply custom article templates (e.g., listicles, how-tos, case studies) to generated content","Customize generated content with brand-specific CTAs, disclaimers, or formatting"],"best_for":["Brands with strict style guides requiring consistent voice across content","Agencies managing multiple client brands with different tone requirements"],"limitations":["Style customization approach undocumented — unclear if rule-based, prompt-based, or fine-tuned","Limited template library — may require custom template creation for specialized formats","No A/B testing of different styles or tones to measure performance impact","Style enforcement may conflict with SEO optimization (e.g., keyword density vs. natural tone)","Free tier likely restricts custom template creation"],"requires":["Brand style guide or tone preferences (text description)","Optional: custom article template with variable placeholders","Valid SEO GPT account"],"input_types":["text (style guide, tone preferences)","optional: template with variables (e.g., {{author}}, {{date}})"],"output_types":["text (article draft with applied style and template)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_seo-gpt__cap_7","uri":"capability://planning.reasoning.content.gap.identification.and.topic.expansion","name":"content gap identification and topic expansion","description":"Analyzes competitor content and search intent to identify missing topics, subtopics, or angles that could improve ranking potential. The system likely uses semantic analysis to compare generated outline against competitor coverage, then suggests additional sections or related topics to expand content depth and topical authority.","intents":["Identify content gaps in competitor articles to create more comprehensive content","Discover related topics and subtopics to expand article scope and topical authority","Suggest content expansion opportunities to improve ranking potential"],"best_for":["SEO teams building topical authority across related keywords","Content strategists planning multi-article content clusters"],"limitations":["Gap identification based on competitor analysis only — no access to actual search intent data or user behavior","Suggestions may be generic or obvious (e.g., 'add FAQ section') without novel insights","No validation of suggested topics against search volume or keyword difficulty","No integration with keyword research tools to prioritize gaps by search opportunity","Unclear if gap analysis considers long-tail keywords or only primary keywords"],"requires":["Target keyword and competitor URLs","Valid SEO GPT account"],"input_types":["text (primary keyword)","optional: competitor URLs"],"output_types":["structured data (list of suggested topics, subtopics, or sections with reasoning)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"low","permissions":["Internet connectivity for live data fetching","API access to underlying data sources (undocumented)","Valid user account on SEO GPT platform","Target keyword(s) or topic","Optional: competitor URLs for structure analysis","Valid SEO GPT account","Competitor URLs or ability to auto-fetch top SERP results","Internet connectivity for web scraping/fetching","Outline structure (auto-generated or manual)","Target keywords and SEO parameters"],"failure_modes":["Live data sourcing method undocumented — unclear whether it includes real-time SERP rankings, web scraping, or API integrations","No transparency on data freshness guarantees or update frequency","Likely adds latency to generation (data fetching + LLM inference) compared to pure LLM generation","Unclear how live data is weighted vs. training data in final output","Keyword clustering approach undocumented — unclear if rule-based, embedding-based, or LLM-driven","No control over outline depth, section count, or keyword density targets","May over-optimize for keyword inclusion at the expense of readability","No integration with external keyword research tools (Ahrefs, SEMrush) to validate keyword difficulty or search volume","Competitor analysis limited to publicly accessible content — no access to paywall-protected articles","No analysis of competitor backlink profiles, domain authority, or ranking factors beyond structure","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.2,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:33.095Z","last_scraped_at":"2026-04-05T13:23:42.560Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=seo-gpt","compare_url":"https://unfragile.ai/compare?artifact=seo-gpt"}},"signature":"TZuDELUZc57mbFPStgoSP1vP5xCwEIVbnExtG3f0xLkDQLlDjtQY+pcw3Ks1g608G9I0WjC872BhqZrW+FmUDA==","signedAt":"2026-06-22T00:19:08.023Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/seo-gpt","artifact":"https://unfragile.ai/seo-gpt","verify":"https://unfragile.ai/api/v1/verify?slug=seo-gpt","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}