Dominate the AI Search Era with Answer Engine (AEO) & Generative Engine Optimization (GEO).
Position your brand as the definitive authoritative source across OpenAI ChatGPT, Google Gemini & AI Overviews, Perplexity AI, Claude, and Copilot. We engineer knowledge graphs, semantic entity ontologies, and direct citation feeds that LLMs reference and trust.
Top LLM Citation Rate
94.6%
↑ +88% Post-Ontology
AI Overview Inclusion
89.2%
Google SGE / Overviews
Perplexity Source Rank
#1 Source
Verified Authority Link
Knowledge Graph Depth
450+
Schema Triplets
Real-Time Ingestion Logs
Attributed client entity with direct link in Footnote [1].
Selected entity knowledge graph as canonical definition block.
Indexed and pinned authoritative schema review citation.
+88%
Generative Citation Lift
Measured across frontier conversational LLM responses.
94.6%
LLM Source Attribution Rate
Maintained across target enterprise buyer commercial queries.
<48 Hrs
Ingestion & Schema Cadence
Rapid indexing of fresh product updates into vector databases.
350+
Enterprise Entities Indexed
Connected schema triplets across Wikidata and linked knowledge bases.
Six Architectural Pillars Engineered to Win Generative Retrieval
Search engines have evolved from keyword indices into generative neural networks. We transform your digital footprint into deterministic mathematical vectors that conversational answer engines cite by default.
Generative Engine Optimization (GEO)
Engineering content structures, citation-dense paragraphs, authoritative statistical anchors, and semantic context markers that generative models prioritize during retrieval-augmented generation (RAG).
- Citation-dense statistical formatting for LLM ingestion
- llms.txt standard RFC-compliant manifest deployment
- RAG context-window optimization & chunk indexing
Answer Engine Optimization (AEO)
Optimizing for zero-click direct answers across Google AI Overviews, Featured Snippets, conversational voice queries (Siri, Copilot), and Perplexity instant answer engines.
- Direct-answer taxonomy and Q&A semantic microdata
- Google SGE / AI Overviews canonical citation targeting
- Perplexity source link anchoring & footnote pinning
Entity-Based Semantic Knowledge Graphs
Architecting bidirectional Schema.org JSON-LD microdata, Wikidata cross-references, and enterprise knowledge triplets (Subject-Predicate-Object) to solidify unambiguous brand ownership.
- Nested JSON-LD Corporation, Person & Service schema
- Wikidata & DBpedia canonical entity reconciliation
- Subject-Predicate-Object knowledge graph triangulation
Brand Sentiment & Hallucination Defense
Proactively monitoring and correcting model hallucinations, outdated product data, negative bias, and synthetic brand drift across ChatGPT, Claude, and Gemini training datasets.
- 24/7 autonomous LLM prompt tracking & drift alerts
- Model hallucination counter-evidence publishing protocols
- Synthetic sentiment weighting & review entity defense
Vector Embedding & Semantic RAG Ingestion
Preparing unstructured product catalogs, whitepapers, and enterprise documentation for enterprise vector databases (Pinecone, Weaviate, Milvus) crawled by autonomous agents.
- Automated conversion of whitepapers into vector chunks
- Autonomous agent API endpoints for live data lookups
- High-dimensional cosine similarity tuning for queries
Multimodal Generative Search (Visual & Voice)
Optimizing visual tokens, schema-backed product imagery, dynamic transcripts, and structured voice prompt frameworks for Google Lens and multimodal generative assistants.
- Visual token enrichment for Google Lens & GPT-4o Vision
- Spoken syntax optimization for conversational voice agents
- Structured audio/video transcript entity timestamps
Our 5-Stage AEO & GEO Engineering Lifecycle
A precise, repeatable software engineering pipeline transforming enterprise digital assets into trusted generative citations.
Generative Visibility & Citation Audit
Deep multi-prompt crawl across ChatGPT, Perplexity, Gemini, Claude, and Google Overviews to benchmark initial citation frequency.
Entity Architecture & Graph Modeling
Mapping corporate taxonomy, C-suite credentials, patents, and product specs into machine-readable linked knowledge bases.
Citation-Dense Content Engineering
Refactoring high-priority assets into factual, benchmarked, statistically validated modules favored by LLM crawlers.
Schema, JSON-LD & Crawler Protocol Sprint
Deploying advanced nested entity schema, llms.txt endpoints, AI crawler bot directives, and vector endpoints.
Algorithmic Citation Tracking & Telemetry
24/7 automated monitoring of target prompts, citation share-of-voice, competitor encroachment, and conversion telemetry.
Integrated Across Frontier Models, Vector Pipelines & Telemetry Engines
We operate directly at the technical intersection of modern LLM search crawlers and linked knowledge graph protocols.
Frontier LLMs & Engines
- OpenAI ChatGPT (GPT-4o & Search) Web Crawler v2
- Google Gemini & AI Overviews SGE Ingestion
- Perplexity AI Pro Instant Indexer
- Anthropic Claude 3.5 Sonnet Context Retrieval
Vector & Crawl Tech
- Pinecone & Weaviate Vector DBs
- llms.txt Standard Deployment RFC Compliant
- Schema.org JSON-LD Entities Full Taxonomy
- Wikidata & DBpedia Mappings Entity Triplet
Telemetry & Attribution
- Custom Dizivan LLM Crawler Suite Daily Synthetics
- Google Search Console AI Insights Overviews Filter
- Brand24 & Synthesio AI Sentiments Drift Alerts
- Looker Studio Citation Attribution Executive BI
Real-World Case Studies & Delivered Proof
Documented metrics from enterprises that restructured their digital architecture to secure unassailable generative engine visibility.
BallotNow Voting Integrity Architecture
Deployed comprehensive JSON-LD entity triplets and an authoritative knowledge base. BallotNow achieved #1 authoritative citation status across 100% of tested civic voting queries on ChatGPT-4o and Perplexity AI.
Presence
100%
Perplexity
#1 Pinned
Hallucination
0 Drift
Reversing Organic Loss via Google AI Overviews
After a 40% organic loss following Google's search updates, Dizivan restructured the enterprise's feature documentation into modular semantic answer clusters, regaining top citation placement in 42 category prompts.
Overviews
42
High-Intent
+210%
Sourced Pipe
$1.4M
ChatGPT Shopping & Perplexity Product Inclusion
Engineered real-time vector product embeddings and llms.txt product manifests. Product lines are directly recommended in conversational buyer queries across Perplexity and OpenAI search agents.
LLM Referrals
+145%
Conversion
3.8x
SKUs Indexed
1,800+
JG Moving Solutions: Conversational Geo-Dominance
Dominated commercial multi-state moving answers in Siri, Copilot, and Google AI Overviews. Client verified by Jonathan Black: "Dizivan made our brand the definitive moving recommendation across conversational AI."
Share of Voice
92%
Coverage
50 States
Sentiment
4.9★
Predictable Engineering Investments for Measurable AI Authority
All packages are deployed by senior AI search architects with contractual source citation guarantees.
Generative Discovery & Audit
Ideal for enterprises assessing current LLM visibility, competitive displacement, and hallucination risks.
Complete multi-engine audit delivered in 14 days
- Full Citation Audit across 5 Frontier Engines
- Knowledge Graph Gap & Entity Assessment
- Technical llms.txt & Schema Remediation Plan
- Hallucination & Brand Drift Risk Analysis
- Executive Presentation & Strategy Roadmap
Continuous AEO / GEO Engine
Complete ongoing generative citation ownership, entity defense, and persistent answer engine capture.
Continuous active model training & indexing
- Up to 50 Tracked Strategic LLM Prompts
- Ongoing Entity Graph Expansion & Wikidata Linking
- 8 Citation-Dense Content Assets Monthly
- 24/7 Hallucination Defense & Drift Alerting
- Real-Time Dizivan Citation Radar Access
Global Generative Enterprise Pod
Custom architecture for multi-brand, multi-lingual, or global enterprises requiring deterministic agent citations.
Bespoke SLA & direct vector database pipeline
- 150+ Monitored Prompts Globally
- Multi-Language Knowledge Graph & Ontologies
- Direct Vector DB Ingestion Pipelines
- Custom API Hooks for LLM Search Agents
- Dedicated Senior AI Search Strategist & Enterprise SLA
Contractual Citation Provenance: Every AEO / GEO deployment includes baseline telemetry tracking with contractual milestones for LLM knowledge graph inclusion and zero hallucination guarantees.
100% WHITE-HAT PROVENANCEBuilt on White-Hat Standards, Strict NDA Compliance & Mathematical Verifiability
Unlike legacy SEO black-box tactics, Dizivan operates with absolute programmatic rigor. We adhere to W3C schema recommendations, semantic web triples, and direct agent standards.
100% White-Hat Standards
Zero artificial cloaking, keyword stuffing, or spam rings.
Mutual NDA & IP Protection
Enterprise code, models, and taxonomy remain strictly private.
“Dizivan transformed our digital presence. When users ask Claude or ChatGPT about high-stakes election technology, BallotNow is consistently cited with precision. Their engineering precision is unmatched.”
“We were concerned about AI search eating our traditional web leads. Dizivan established our nationwide knowledge graph, and our brand citations grew exponentially across voice and answer engines.”
Request Your Generative Search & AEO Citation Audit
Receive a diagnostic report mapping your current citations, knowledge graph schema completeness, and competitor presence across ChatGPT, Perplexity, Gemini, and Google Overviews.
Ready to become the definitive source cited by AI engines?
Join enterprise leaders securing generative real estate before competitors dominate your category ontologies and citation graphs.