Visibility Auditing & Tracking
We diagnose how LLMs query your brand and competitors, identifying baseline visibility, citation share, and accuracy errors across leading engines.
LLM AUDIT · CITATION SHAREIscope Digital’s AI Engine Optimization (AEO) service prepares, structures, and feeds your brand footprint to Large Language Models (LLMs) — ensuring you are cited, referenced, and recommended by ChatGPT, Claude, Gemini, and Perplexity.
AI Engine Optimization (AEO) is the practice of getting your business cited by ChatGPT, Perplexity, Claude, and Google AI Overviews. Iscope audits your AI citations across the four engines, restructures your content and schema for LLM ingestion, and tracks citations monthly. First measurable results typically arrive in 30–60 days.
| Service | AI Engine Optimization (AEO) |
|---|---|
| Engines covered | ChatGPT · Perplexity · Claude · Google AI Overviews |
| Deliverables | Citation audit · top-20 page rewrite · JSON-LD · llms.txt & ai.txt · E-E-A-T markup · monthly tracking |
| First results | Typically 30–60 days |
| Pricing model | Monthly retainer, quoted after discovery |
AI engines don’t scrape pages like classic SEO crawlers. They synthesize context. Our framework structures your digital footprint to optimize for LLM synthesis.
We diagnose how LLMs query your brand and competitors, identifying baseline visibility, citation share, and accuracy errors across leading engines.
LLM AUDIT · CITATION SHAREWe convert your site’s unstructured text into schema-rich, JSON-LD knowledge graphs that AI bots can scrape, verify, and absorb seamlessly.
JSON-LD SCHEMA · ENTITY MAPPINGAI engines value third-party authority. We build and index off-site references in the databases, directories, and press publications that LLMs train on.
E-E-A-T INDEX · PR SYNDICATIONWe structure content directly in question-answer layouts that align with natural-language user queries in AI chat interfaces.
Q&A OPTIMIZATION · INTENT TUNINGHow we audit, structure, and verify your brand authority inside AI models.
We run query scenarios across ChatGPT, Perplexity, and Gemini to see where your brand is cited and where competitors are taking share.
We overhaul your site’s schema markup, mapping key organizational entities, products, and executives for LLM-ready ingestion.
We optimize off-site directory structures and secure semantic mentions in authoritative hubs to build trustworthy reference links.
We audit weekly visibility reports, tracking citation increases and adjusting semantics as LLMs update their training weights.
Each conversational engine weights and processes data differently. Here is how we optimize for the leading AI players.
We optimize your content structure, site performance, and schema connections to ensure you are cited in Perplexity’s real-time browser indexes.
Index Focus · Real-time web citationsWe target OpenAI’s retrieval indexes by crafting concise, Q&A structured summaries and structuring your company’s core entity data.
Index Focus · Conversational answersClaude relies heavily on deep B2B context. We design exhaustive guides, structured technical sheets, and clear whitepapers for it to reference.
Index Focus · Context & document synthesisGoogle’s Gemini works in tandem with their Knowledge Graph. We map sitewide JSON-LD metadata to secure entity recognition.
Index Focus · Knowledge Graph entity matchingSee how shifting from standard, keyword-focused SEO to entity-focused AEO changes your visibility inside AI answers.
Traditional crawlers read your pages, but AI models fail to connect your brand to category-specific buyer searches, yielding minimal references.
LLM Citation Probability 15%LLMs scrape your structured schemas, discover consistent authoritative references off-site, and recommend your brand in natural conversational prompts.
LLM Citation Probability 85%Anything else, ask on the discovery call.
AEO stands for AI Engine Optimization. Unlike classic Search Engine Optimization (SEO) which targets keyword rankings on browser search pages, AEO focuses on formatting your brand content and off-site references so that Large Language Models (LLMs) like ChatGPT, Claude, and Gemini will select your business as an answer when users query them.
LLMs synthesize answers by looking at two primary sources: their pre-trained parameters (historical database train weights) and real-time retrieval (e.g., Bing/Google index searches executed under the hood). By mapping semantic schemas (JSON-LD Knowledge Graphs) and maintaining consistent entity details off-site, we make it easy for AI web scrapers to verify your brand’s authority.
We track citation share (Share of Voice inside LLM answers), citation counts on Perplexity, SearchGPT click-through recommendations, brand sentiment ratings within conversational threads, and organic search impressions from AI-associated queries.
A 30-minute discovery call, then a written recommendation within five business days. No obligation.