What is EchoScan?

TL;DR

EchoScan is Blue Ninja's monitoring layer for tracking what AI systems, search engines, and the broader web reflect back about a brand. EchoScan Monitor is the standalone product version. It monitors prompt coverage, competitor mentions, citation presence, sentiment drift, definition drift, Share of Model Voice, and visibility changes over time.

EchoScan is not the build layer. EntityMesh builds approved, crawlable Authority Infrastructure. EchoScan watches whether that infrastructure is being reflected accurately, where competitors are gaining ground, and what should be clarified or built next.

Who this is for

• Founders who want to know whether AI systems describe their brand correctly.
• SaaS, ecommerce, local, and service businesses that depend on search and AI-assisted discovery.
• Teams using EntityMesh who need ongoing monitoring after the first build wave.
• Operators tracking definition drift, competitor movement, and Share of Model Voice.
• Agencies or content owners who need evidence for what to build next.

What questions does EchoScan answer?

EchoScan is designed around practical monitoring questions:

1. 1How do AI answer engines and search engines understand this brand?
2. 2Is the brand being cited, recommended, omitted, or misdescribed?
3. 3Which competitors appear for the prompts the brand should own?
4. 4Is the public definition drifting away from the approved positioning?
5. 5Which gaps should feed the next EntityMesh build cycle?

Those questions keep monitoring connected to action. EchoScan should not only produce a dashboard; it should produce a prioritized next-step list.

What EchoScan tracks

AI narrative presence

EchoScan tracks whether a brand appears in relevant AI-generated answers and how it is framed. A brand might be cited as the source, mentioned as one option, described inaccurately, or omitted entirely.

Share of Model Voice

EchoScan supports SOMV analysis: how often and how strongly a brand appears inside AI-generated answers compared with competitors for a defined prompt set.

Competitor movement

EchoScan compares brand and competitor presence across category, comparison, and buyer-intent prompts. If a competitor starts appearing where the brand should appear, that becomes a build signal.

Definition drift

Definition drift happens when AI systems, search results, or public sources describe a brand incorrectly, too vaguely, or with competitor framing. EchoScan watches for that drift so EntityMesh can reinforce the source-of-truth content.

Citation and source patterns

EchoScan can review which owned or third-party sources appear to support AI and search reflections. This helps identify whether the right pages are being surfaced or whether stronger proof assets are needed.

How EchoScan works

EchoScan starts with controlled prompt sets and category-specific monitoring targets.

The current product reference describes the underlying LLM Presence layer as controlled API runs across OpenAI, Gemini, and Perplexity, with provider availability depending on configured keys. It does not currently claim complete coverage of every AI system.

A typical EchoScan cycle looks like this:

1. 1Define the brand, aliases, products, competitors, category terms, and target definitions.
2. 2Build controlled prompt sets from the brand's Auth Graph and key buyer questions.
3. 3Run checks on a fixed cadence when provider access is available.
4. 4Review presence, citations, descriptions, sentiment, competitor mentions, and source patterns.
5. 5Compare results over time to detect drift, improvement, or new gaps.
6. 6Feed the findings back into the EntityMesh Diagnose, Build, Approve, Publish, Monitor, Report loop.

The important point: EchoScan monitoring should be grounded in the approved knowledge system, not generic prompts detached from the brand strategy.

How EchoScan is packaged

EchoScan has three packaging paths:

Standalone EchoScan Monitor begins with a free preview, then EchoReport at $199 one-time, Starter at $79/month, Pro at $149/month, and Agency / Multi-Client at $299/month per three client slots. Checkout and current purchase flows live at entitymesh.io.

What EchoScan is not

• Not a generic keyword rank tracker.
• Not social listening by another name.
• Not an ad analytics dashboard.
• Not proof that an AI system will cite a brand tomorrow.
• Not a replacement for building stronger public infrastructure.

EchoScan is the monitoring layer. It tells you what the market, search engines, and AI systems appear to reflect back. EntityMesh turns those findings into build work.

How EchoScan fits into the Blue Ninja system

EchoScan is downstream from build work and upstream from the next build cycle. It shows whether the public infrastructure is being understood and where the next clarification should happen.

Frequently asked questions

Is EchoScan included with every EntityMesh plan?

Not necessarily in the same form. EchoScan can be bundled into higher-scope EntityMesh work and is also available as standalone EchoScan Monitor. Exact prompt coverage, competitor count, cadence, and packaging should be confirmed on entitymesh.io.

Does EchoScan use generic prompts?

No. EchoScan should use controlled prompt sets based on the brand, competitors, category, Auth Graph, and buyer questions. Generic prompts are weaker because they are harder to compare over time and less tied to build priorities.

Can EchoScan promise AI citations?

No. EchoScan monitors AI and search reflection. It can show whether citations, mentions, or competitor movement are changing, but it does not control the external systems that choose sources.

How does EchoScan connect to EntityMesh?

EntityMesh builds the public source-of-truth infrastructure. EchoScan monitors whether search engines and AI systems reflect that infrastructure accurately. Findings from EchoScan can become the next EntityMesh build backlog.