Hallucination defense for AI-native search
Protect your company from LLM hallucinations
Signal™ keeps your brand facts consistent across AI systems. We run Alignment Audits to eliminate ambiguity and monitor LLM responses to detect drift and brand-related hallucinations.
DEEP TECH EXPERIENCE | 15+ YEAR TRACK RECORD | AI EXPERTISE
We defend against brand-related misinformation
Signal is built as an end-to-end defense against drift, tying together audits, fact storage, and monitoring into one framework.
Alignment Audits
Ensure LLMs resolve your brand correctly by eliminating ambiguity across pages, profiles, and schema.
We verify canonical @ids, aliases, and entity data across your site, Wikidata, Crunchbase, and Google Business Profile. Each audit maps inconsistencies to your Brand Fact-File with evidence and prioritized fixes, giving you a clear path to correction.
Hallucination Monitoring
Protect your brand by detecting false or drifting LLM responses before they damage trust.
We run a fixed prompt bench across ChatGPT, Claude, Gemini, and Perplexity, then compare answers to your Brand Fact-File. When errors appear, we remediate them and synchronize corrected facts across AI-read surfaces.
How we protect reputation when models inevitably drift
Signal™ delivers lasting protection against drift by ensuring your facts are consistent, verifiable, and cited correctly across large language models.
A Single Source of Truth for AI Models
Canonical IDs, consistent vocabularies, and change control is the secret to helping AI reliably attribute citations to your brand.
Reduce Risk from Hallucinations
Continuous monitoring helps us catch misinformation early and then act to mitigate the damage quickly.
Quarterly Alignment Audits
We verify canonical @ids, enforce cross-profile parity, add evidence, and anchor fixes to your Brand Fact-File for reliable retrieval and citations.
Partner with Growth Marshal
Companies hire us because we operate at the frontier of AI Search and help our partners leapfrog into an unfair advantage.
AI-Native Search Masters
We don’t just optimize for Google. We engineer your brand into the very fabric of LLM retrieval. From knowledge graph tuning to zero-click authority, we make sure AI cites you, not your competitors.
AI-First, Results-Obsessed
You move at AI speed; so do we. Our entire system is built for compounding returns that include quick wins today and scalable gains tomorrow, without the bloat of legacy agency processes.
Data-Backed, Always
Every recommendation is rooted in proprietary research, real-world embedding tests, and hard performance data. You’ll see exactly which signals move the needle and we’ll double-down on the ones that do.
Full-Spectrum Service Suite
From prompt surface engineering to hallucination monitoring, we cover the entire AI Search Optimization lifecycle. No handoffs between siloed groups; just one integrated team driving your discovery and citation.
High-Octane Partnership
We speak growth fluently: sharp insights, zero fluff, and a relentless drive to turn your company into a lead-generation machine. Expect candid feedback, rapid pivots, and messaging that cuts through the noise.
MAX OUT VISIBILITY WHERE
YOUR AUDIENCE IS ACTUALLY SEARCHING
Optimize for AI Search and drive more revenue, faster.
or, skip to pricing and vault ahead
Signal™ FAQs
-
Signal is an AI‑native brand consistency service that fuses audits, a living brand dossier, live LLM integrations, and continuous drift detection so your brand’s truth is front‑and‑center in every AI interaction. The page describes a process that audits, centralizes, syncs, and monitors your core entity data across digital and AI channels.
-
Signal targets inconsistent brand data, outdated knowledge‑graph records, unchecked hallucinations, and fragmented data sources—issues that cause LLMs to hedge, cite stale facts, or conflate you with competitors.
-
Signal consists of three components: Alignment Audits (find and fix inconsistencies), Brand Fact‑File (a centralized, schema‑ready dossier), and Hallucination Monitoring (flags fabricated or misattributed facts)
-
It’s a centralized, schema‑ready dossier of critical facts—entity IDs, leadership bios, product specs, core values—designed to give LLMs a single, trustworthy source of truth.
-
Any business that needs bullet‑proof consistency and credibility in AI contexts.
-
Rather than just creating or optimizing content, Signal focuses on your underlying brand data—locking down facts, keeping them fresh in LLMs, and defending against misinformation so AI tells your true story.