Signal™ > Alignment Audits
Align Every Signal. Amplify Every Outcome.
We untangle tagging, content markup, and tracking misfires so LLMs know exactly who you are—and choose your startup over everyone else. Clean signals lead to more AI citations, more AI-driven leads, and a predictable inbound pipeline.
Trusted by founders, loved by marketers
Why Alignment Audits Matter
Even a single mis-tagged page or broken schema snippet can keep you off the map. Our Alignment Audits scrub your entire signal stack clean—so LLMs have no excuse but to surface and cite your content every time.
Stop Falling Off the LLM Map
Inconsistent tags and broken schema keep you invisible to AI—so you miss out on being surfaced in AI-powered answers.
Win More AI Citations
When every piece of content and data point aligns, LLMs recognize your authority and quote you first.
Accelerate Inbound Lead Flow
Consistent signal streams power continuous AI-driven discovery—so your funnel never runs dry.
Future-Ready for Every Model
With a unified signal system, you plug into new LLMs and AI tools instantly—no frantic rework required.
A Rescue Mission to Save your AI Discoverability
Every Alignment Audit ships with five mission-critical assets to lock down your signal stack and get your brand cited by AI.
⛑️ Signal Health Scorecard
We audit your analytics tags, schema markup, and UTM conventions, then distill the findings into a clear red/yellow/green scorecard.
🙅♂️ Gap & Overlap Analysis
Our team dives deep into your content-to-data mappings to pinpoint where signals conflict, duplicate, or drop off entirely.
🗺️ Prioritized Fix Roadmap
We rank each issue by impact on LLM discoverability and implementation effort, giving you a step-by-step plan to plug the biggest leaks first.
🌳 Ongoing Sync Plan
We develop a lightweight monthly checklist and identify “red flag” triggers so we can catch new misalignments before they derail your AI citations.
READY TO 10x INBOUND LEADS?
Put an end to random acts of marketing.
FAQs
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It’s a hands-on review of every tag, schema snippet, UTM parameter, and content-to-data mapping in your tech stack—designed to root out misfires that keep you off the AI radar.
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From kickoff to final roadmap, we move fast—usually 2–3 weeks end-to-end, depending on stack complexity.
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Read-only access to analytics tools, your tag manager, and a sitemap of key content hubs.
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Founders and marketing leaders at startups that rely on LLM citations for inbound lead flow—and can’t afford to slip through the AI cracks.
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A clear Signal Health Scorecard, a gap analysis, a prioritized fix plan, live QA support, and a monthly sync checklist to keep your AI citations firing on all cylinders.
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We recommend quarterly reviews to catch drift—though any major launch or tagging overhaul is also a perfect trigger.
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Absolutely. Our workflow adapts to custom tools, bespoke tag conventions, and proprietary data flows—no cookie-cutter approach here.
Keep Exploring Signal
Brand Fact-File
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.
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.
LLM Sync
Push your latest updates directly into major language model pipelines so AI always reflects your current reality.
Fresh news, feature launches, and customer announcements are pushed directly into the training pipelines of major language models via targeted API hooks. That means every time you pivot, AI sees it instantly.
