Why this is not a chatbot
Generic AI assistants know nothing about your project. They give textbook answers about “SEO best practices” and “quality content.” Your AI Webmaster is different — it’s a specialized marketing algorithmist for AI search engines, with deep knowledge of RAG pipelines, vector search, reranking, and chunking. It knows how ChatGPT, Perplexity, Google AI, Grok, and every other engine decides what to recommend.
More importantly, it works inside your project. It sees your actual monitoring metrics — Share of Voice, Visibility, Citation Rate, Sentiment — for every location and every AI engine. It knows your competitors by name and mention count. It knows which hypotheses you’re testing and what results they produced. When it gives advice, it’s backed by your real data, not generic theory.
Sees your monitoring data
Every time you send a message, the AI Webmaster loads your latest monitoring snapshot: metrics by location, per-engine breakdown (Market SOV, Brand SOV, Visibility, Citation Rate), your top competitors with mention counts, active hypotheses, and product/service monitoring results including product competitors and pricing. It doesn’t just answer “what is SOV?” — it says “your SOV in Berlin is 43% and dropped 12% since last month because Competitor X published three new case studies on G2.”
This context is injected automatically. You don’t need to paste metrics or explain your project. The AI already knows what you’re working with and can reference specific numbers, competitor names, and location-level data in every response.
Scrapes and analyzes any URL
Paste any URL into the chat and the AI Webmaster scrapes it in real time. Not a basic page load — a full technical analysis:
- Title, meta description, meta keywords — what search engines and AI crawlers see first
- Heading structure (H1, H2, H3) — up to 10 headings per level, revealing content hierarchy
- JSON-LD structured data — every Schema.org markup block extracted and parsed
- OpenGraph tags — how the page appears when shared or cited
- Canonical URL, robots meta — crawl and indexation directives
- Link count, image count, images without alt text — technical SEO indicators
- Word count and content excerpt — up to 6,000 characters of extracted text for content analysis
You can paste up to 3 URLs per message. The AI processes them all and uses the scraped data as context for its analysis. Paste a competitor’s page — get a comparison with yours. Paste your own new article — get GEO optimization feedback before you publish. Anti-bot protection (like Beget) is handled automatically.
Reads your files
Upload files directly into the chat. The AI Webmaster reads and analyzes them as part of the conversation:
- Code files — Python, JavaScript, TypeScript, HTML, CSS, SQL. Upload your robots.txt, your JSON-LD template, your llms.txt — the AI reads the full text (up to 5,000 characters) and gives specific fixes
- Text and data — TXT, CSV, Markdown, JSON, XML. Upload a keyword list, a content plan, an analytics export
- Images — PNG, JPG, WEBP, GIF. Screenshots of competitor pages, analytics dashboards, error messages
- Documents — PDF, DOCX, XLSX. Strategy decks, audit reports, content briefs
Maximum file size is 10 MB. Text and code files are read in full and injected into the AI’s context. The AI doesn’t just acknowledge your upload — it analyzes the content and responds based on what’s inside.
Project parsing: your site in one click
Before your first conversation, click “Parse Project” and the AI Webmaster scrapes your entire main page plus two critical files: robots.txt and llms.txt. This gives the AI a complete technical snapshot of your site’s current state — title tags, schema markup, heading structure, content depth, crawl directives, and AI-specific accessibility — before you type a single word.
Platform-specific strategies
The AI Webmaster doesn’t give one-size-fits-all advice. It differentiates between AI platforms because each one works differently:
- ChatGPT — real-time web search, browses pages, heavily influenced by content freshness and authority signals
- Perplexity — source-cited answers, values structured factual content, highest quality traffic from citations
- Google AI / AI Overviews — Knowledge Graph powered, rewards Schema.org markup and E-E-A-T signals
- You.com — multi-model AI search with real-time web access, sourced answers across multiple AI models
- Grok — real-time X/Twitter data, captures social sentiment and trending topics
A strategy that improves your Perplexity citation rate might do nothing for Google AI Overviews. The AI Webmaster builds separate recommendations for each engine based on how they actually index and retrieve information.
Structured, actionable responses
Every response follows a strict format: Verdict, Mechanism, Action, Metric. No vague “maybe you should try” advice. The AI tells you what the problem is, explains the algorithmic reason behind it, gives you specific implementation steps, and defines how to measure whether the fix worked.
Responses use Markdown formatting — headings, numbered action lists, comparison tables, code blocks for robots.txt entries or JSON-LD schemas. Every claim is tagged with its source: [USER DATA] when referencing your monitoring results, [KNOWLEDGE BASE] for established GEO practices, or [NEEDS VERIFICATION: url] when the AI isn’t certain and recommends checking.
Multi-dialog management
Your AI Webmaster maintains separate dialogs per topic. Create a dialog for “Schema Markup Implementation,” another for “Content Strategy Q3,” a third for “Competitor Analysis.” Rename, delete, or archive any dialog.
When a dialog reaches 50 messages and the context limit is hit, the AI automatically summarizes the entire conversation — preserving key decisions, action items, and conclusions — and creates a new dialog with that summary as context. You never lose the thread. The conversation continues seamlessly with full awareness of what was discussed before.