Make Your Enterprise the Authoritative Answer in AI Search
When decision-makers query Perplexity, ChatGPT Search, Claude, or Google AI Overviews for solutions in your sector, does your brand get cited as the market leader—or does the AI recommend your competitor? We engineer the semantic entity architecture that models prioritize.
Core Engineering Deliverables
The four pillars of sustainable generative search authority
We implement end-to-end technical foundations that transform ambiguous web pages into clear, deterministic knowledge nodes for LLMs.
Semantic Entity Graph Modeling
We structure your entire corporate identity into Schema.org JSON-LD graph standards. We define unambiguous canonical entity nodes for your organization, leadership, core services, and technology offerings, preventing LLM brand confusion and hallucinations.
- Full Organization & Founder canonical mapping
- Granular Service, Product & Offer entity linking
- Cross-validation with Wikidata and industry registries
LLMs.txt & Machine-Readable Catalogs
We deploy the emerging standard for autonomous AI crawlers: lightweight, structured Markdown and JSON endpoints (`/llms.txt`, `/llms-full.txt`, and `/ai-manifest.json`) that allow search bots to index your entire capabilities catalog in a single request.
- Implementation of /llms.txt and /llms-full.txt
- Structured context feeds for retrieval-augmented generation
- Elimination of crawler parsing friction and dropped tokens
Edge Infrastructure & Zero-Latency Delivery
Autonomous bots from OpenAI, Perplexity, and Anthropic have strict request timeouts. We optimize your web infrastructure to achieve sub-50ms TTFB worldwide, ensuring your content is fetched and synthesized before competitors' slower servers respond.
- Sub-50ms Time to First Byte (TTFB) across edge nodes
- 100/100 Core Web Vitals on mobile and desktop
- Clean HTML delivery with zero blocking client-side JavaScript
Citation Share & Synthetic Benchmarking
We continuously audit how major models respond to commercial queries. Using automated synthetic query pipelines, we measure citation frequency, anchor relevance, and referral quality from ChatGPT, Perplexity, Claude, and Google AI Overviews.
- Multi-model synthetic prompt testing across commercial niches
- Citation share tracking and hallucination mitigation
- Direct attribution and conversion intelligence reporting
Architectural Comparison
Traditional SEO Agencies vs. LOBIK Systems AEO/GEO Engineering
| Capability | Traditional Agency (Legacy SEO) | LOBIK Systems (AEO & GEO) |
|---|---|---|
| Target Algorithm | PageRank & Google blue-link SERPs | RAG pipelines, Neural LLMs & Answer Engines |
| Data Representation | Basic meta tags & keyword density | Nested Schema.org JSON-LD graphs & llms.txt |
| Web Performance | Heavy WordPress/Wix plugins (TTFB > 500ms) | Headless edge architecture (TTFB < 50ms) |
| Evaluation Metric | Vanity keyword rankings & impressions | AI Citation Share & high-intent referral pipeline |
| Code Sovereignty | Proprietary page builders or monthly lock-in | 100% clean code ownership (TypeScript, Git repo) |
Service FAQs
Frequently Asked Questions on AEO & GEO
How does AEO & GEO make AI models recommend my company?
AEO and GEO optimize the deterministic signals that generative models rely on during retrieval-augmented generation (RAG). By deploying granular Schema.org JSON-LD entity structures, verified llms.txt manifests, sub-50ms edge rendering, and consistent factual citations across external authorities, we ensure search LLMs recognize your brand as the primary ground-truth source.
Can any company guarantee 100% forced citations across LLMs?
No. Large language models and AI search engines operate with probabilistic sampling. Any agency guaranteeing fixed citations or forced mentions is misleading clients. LOBIK Systems focuses on deterministic engineering: eliminating crawl latency, validating semantic schema hierarchies, and optimizing retrieval readiness to maximize citation probability and authoritative recommendation share.
How does this differ from traditional keyword-based SEO?
Traditional SEO optimizes for keyword density and backlink quantities to rank on 10-blue-link SERPs. Generative models do not read keyword stuffing; they extract concepts, verify entity relationships, evaluate crawl latency, and synthesize direct answers. AEO/GEO is an engineering discipline focused on machine readability, semantic graphs, and factual consistency.
Do we need to completely rebuild our existing website?
Not necessarily. If your current website already has modern performance, we can implement the semantic entity layer, machine-readable specifications (/llms.txt), and RAG content structures directly. If your site suffers from heavy CMS bloat (WordPress, Drupal, Wix) with slow TTFB, we offer headless edge migrations that solve both web performance and AI visibility simultaneously.
How do you track and verify citation share across AI engines?
We deploy synthetic evaluation pipelines that query ChatGPT Search, Perplexity, Claude, and Google AI Overviews using realistic buyer prompts across your target industry. We measure brand mention frequency, sentiment, source citation links, and downstream referral conversion.
Claim Your Authority in Generative Answers
Let our engineers analyze your current digital presence, evaluate your entity graph, and demonstrate how AEO/GEO will position your brand in front of high-intent buyers.