LLM Sync is a service that programs your structured Brand Fact File, entity mappings, and schema directly into large language models and AI platforms to ensure accurate, authoritative responses.

Why should I use LLM Sync?

By syncing your verified brand and entity data, you reduce the risk of misattribution, keep AI models updated with your latest information, and boost your startup’s visibility in AI-driven search results.

How does the integration process work?

We package your JSON-LD Brand Fact File and entity metadata into the format required by target AI platforms, then push and verify ingestion through supported APIs or manual upload workflows.

Which AI platforms are supported?

LLM Sync supports major AI services and large language models, including OpenAI, Anthropic, and self-hosted LLM frameworks via custom integration pipelines.

What deliverables will I receive?

You’ll receive the synced JSON-LD payloads, integration logs, confirmation of ingestion, and a technical guide for ongoing updates and maintenance.

Signal™ > LLM Sync

Sync Your Startup with Every LLM

Deliver real-time updates of your products, content and KPIs into leading LLMs and knowledge graphs—so you’re always the top suggestion.

Activate LLM Sync Now →

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Trusted by founders, loved by marketers

Why Real-time LLM Sync is Critical

Static facts get stale fast—continuous synchronization ensures every AI system and knowledge graph serves your freshest data first.

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Automated Data Feeds

Push product launches, pricing changes and new content into LLM indexes the moment they go live—no manual uploads required.

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Cross-Model Consistency

Maintain uniform brand signals across ChatGPT, Bard, Perplexity and other AI platforms so every query returns the same up-to-date story.

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Query-Specific Tuning

Tailor which data points each AI model consumes—prioritizing different KPIs or content snippets for sales-focused versus support-focused queries.

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Continuous Performance Monitoring

Track sync success rates, index latency and AI citation volumes in real time to catch and fix any drift immediately.

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*Scalable Integration Framework

Leverage our modular APIs and connectors for seamless onboarding of new data sources as your product ecosystem grows.

* in beta

How We Sync Your Startup Directly into LLMs

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We build a seamless data pipeline that automatically streams your latest brand and product information into every major LLM index—eliminating latency and ensuring consistency.

🪈 Data Pipeline Configuration
We pull updates from your CMS, databases or analytics platforms and prepare them for AI ingestion.

📟 API Connector Setup
Our engineers deploy and authenticate custom connectors to ChatGPT, Bard, Perplexity and other LLM endpoints for direct data submission.

⌨️ Schema & Mapping Rules Definition
We establish precise JSON schemas and mapping logic so each model receives exactly the fields it needs—no more, no less.

📅 Sync Scheduling
We’ll define a push schedule so every update flows into AI indexes on your cadence.

‼️ Alerting & Error Handling
We implement monitoring hooks and notifications that flag any sync failures or data mismatches for immediate remediation.

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FAQs

LLM Sync is a real-time data streaming service that pushes your latest product details, content updates and KPI changes directly into major large language models and knowledge graphs.
We can connect to ChatGPT (OpenAI), Bard (Google), Perplexity, Pinecone and other popular AI engines—and can custom-build integrations for new or proprietary models.
Depending on your chosen cadence—near-real-time, hourly, or daily—most updates are visible in AI query results within minutes to an hour of going live on your site or database.
No. We tap into your current data sources—CMS, e-commerce platform, analytics database or data warehouse—and map them into our sync pipeline without requiring a full system overhaul.
Through strict schema validations, mapping rules and end-to-end monitoring, we guarantee that every AI model receives the correct fields in the right format—and flag any discrepancies immediately.
If a push error occurs, we automatically retry failed jobs and provide detailed logs to fix underlying issues fast.
Yes. We set up query-specific tuning so you can prioritize different fields—like sales metrics for ChatGPT and support FAQs for Bard—ensuring each AI use case gets the most relevant data.
Track improvements in AI-driven engagement metrics—such as increased chat conversions, fewer support tickets, and higher knowledge panel appearances—alongside sync performance dashboards.

Keep Exploring Signal

Brand Fact-File

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Maintain a centralized, schema-ready dossier of your core entity data to give LLMs a single source of truth.

Imagine a living document packed with entity IDs, executive bios, product specs, and core values. By centralizing critical facts in one schema-ready repository, we give LLMs a rock-solid reference point—no more “unknown” flags.

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Hallucination Monitoring

Monitor AI outputs and get alerted to any fabrications or misattributions—so you can quash misinformation at the source.

We monitor AI outputs across search-driven tools—flagging any fabricated or misattributed “facts” about your brand. Then we help you stomp out misinformation before it spreads, protecting your authority and trust.

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Alignment Audits

Pinpoint every inconsistency across your digital footprint—so AI models never catch you in a contradiction.

We scour every corner of your digital footprint to uncover where your data diverges. Then we deliver a prioritized remediation plan that stitches your story back together, ensuring AI systems never catch you in a contradiction.

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