Your AI Visibility Score shows which prompts competitors get cited for and you don't. The Content Agent closes those gaps: structured, schema-tagged pages that ChatGPT, Perplexity, Gemini, and Claude can extract and cite.
Botric's AI Visibility platform surfaces every prompt where a competitor gets cited and you don't. The Content Agent fills those gaps: structured, schema-tagged pages that assistants can actually extract, quote, and attribute, not just index.
ChatGPT, Perplexity, Gemini, and Claude don't rank pages the way Google does. They retrieve pages that answer questions directly, carry structured data machines can parse, and are recognized as authoritative in the topic's entity graph. Most content misses all three.
The most-cited pages lead with the direct answer, not the context. AI retrieval systems extract the clearest, most direct response to the query, then attribute it as a citation.
JSON-LD schema tells AI what the page is, who published it, and what topic it covers. FAQPage and Article schema are the two most frequently cited formats across AI platforms.
Pages that earn citations are unambiguously tied to one brand, product, or topic in the AI knowledge graph. Ambiguous entity signals mean the page gets skipped.
"X vs Y" comparisons and structured FAQs are the most-cited content formats across ChatGPT, Perplexity, and Gemini. These are the pages where AI shortlists form.
The agent drafts around the questions buyers actually ask AI, bakes the GEO structure in, and keeps filling the gaps your AI Visibility Score surfaces, reviewed before anything goes live.
Writes articles, answers, and head-to-head comparisons around the real prompts buyers ask AI, the questions where a citation and a recommendation actually get made.
Every page ships with schema markup, entity signals, and llms.txt entries, formatted the way AI assistants extract and quote, not just the way Google ranks.
Plugs directly into your AI Visibility Score: as new citation gaps surface, the Content Agent fills them, in your brand voice, scored for AI rankability before publish.
The Content Agent doesn't publish and hope. It works in a closed loop with AI Visibility: every gap becomes a page, every page becomes a citation, every citation raises the score.
AI Visibility flags a prompt where a competitor is cited by ChatGPT, Perplexity, Gemini, or Claude and you're not, with context on why.
The agent drafts a structured, on-brand page that answers that exact prompt, schema and entities included, reviewed, published.
Assistants extract and cite the new page. Your AI Visibility Score moves, and the next gap surfaces.
The Content Agent scores each draft on Google and LLM rankability across twelve dimensions, checks it against a 15-point GEO structure list, and hands you a ranked fix list to push past 90. You publish knowing exactly how it ranks.
GEO structural signals present, full compliance
| Scoring dimension | LLM | Combined | |
|---|---|---|---|
| Keyword / Query Targeting | 8.5 | 8.5 | 8.5 |
| Header Structure (H2s) | 8.5 | 8.5 | 8.5 |
| Semantic Coverage | 9.0 | 9.0 | 9.0 |
| E-E-A-T / Trust Signals | 9.0 | 9.0 | 9.0 |
| Content Depth | 9.0 | 9.0 | 9.0 |
| SERP Features / Extractability | 8.5 | 8.5 | 8.5 |
| Comparison Tables | N/A | 8.5 | 8.5 |
| FAQ Coverage (6 questions) | N/A | 9.0 | 9.0 |
| Answer-First Structure | N/A | 9.0 | 9.0 |
| Entity Clarity (brand) | N/A | 9.0 | 9.0 |
| Internal / External Linking | 8.0 | N/A | 8.0 |
| Readability / UX | 9.0 | N/A | 9.0 |
Every capability built for one outcome: content that ChatGPT, Perplexity, Gemini, and Claude can extract, trust, and cite.
Head-to-head pages for the "X vs Y" prompts where buyers make a shortlist, balanced, sourced, and citable by AI.
Direct, extractable answers to the real questions in your category, written answer-first for how AI assistants quote and attribute.
FAQPage and Article schema on every piece, so AI can lift a clean, attributed answer and cite the source.
Consistent entity markup that ties each page to your brand in the knowledge graph that AI assistants read to classify authority.
Tone, claims, and guardrails you set. The agent writes like your team, not a generic model, so every citation reflects your brand.
Every draft graded on Google + LLM rankability across twelve dimensions, with a ranked fix list to push it past 90 before it goes live.
On drafting, GEO structure, AI Visibility, and how it all connects.
Articles, answer pages, and head-to-head comparisons built around the prompts your buyers ask AI, each one shipped with schema markup, entity engineering, and llms.txt entries. Every piece is scored for Google and LLM rankability before it goes live.
AI writing tools start from a blank prompt and optimize for word count and keywords. The Content Agent starts from your AI Visibility Score and optimizes for citation: structured, schema-tagged pages that assistants can extract and attribute, driven by the exact gaps where competitors are beating you in AI answers.
Every draft ships with a combined Google + LLM rankability score across twelve dimensions, a 15-point GEO structure check, and a ranked list of fixes. You see exactly how it'll perform and decide what publishes, within your guardrails.
They run as a closed loop. AI Visibility flags the prompts where competitors are cited and you're not. The Content Agent drafts the page that fills that gap. Once published and cited, the new citation moves your Visibility Score, and the next gap surfaces.
AI assistants retrieve pages that answer questions directly (answer-first structure), carry structured schema markup machines can parse, and are clearly tied to a recognized entity in their knowledge graph. Comparison pages and FAQ content are the most frequently cited formats. The Content Agent builds all of this in by default.
Run a free audit, see the prompts you're missing, and exactly which pages would close them.
