NM SignalsNM Signals

NM Signals: the website inspector for discoverability

Audit

Receive immediate, custom insights on how search and AI systems understand your site.

Optimize

Work from priority-ranked findings, evidence, and AI-agent fix prompts.

Monitor

Save a baseline and compare future checks. Scheduling and alerts are Premium.

Free, immediate results: no account needed.

§ as featured in

Fortune
Forbes
InformationWeek
Techopedia
Marketer Magazine
U.S. News
Quartz
CIO

§ audit

See what search engines and AI assistants can understand

audit / northstarcrm.com
report

readiness

68

needs work

fail

2

blocks citation

fix next

5

ranked fixes

crawlability

pass

accessible

priority-ranked findings

AI crawlers blocked on pricing page

fetch path fails for two model user agents

fail

Product offer markup missing

plans and trial terms are not machine-readable

warn

Entity page lacks proof points

no customer categories, no external corroboration

warn

Buyer-prompt copy is generic

answer targets do not match category questions

warn

Comparison page lacks decision criteria

competitors are named without evaluation context

warn

Canonical URL and sitemap agree

indexing signals are coherent

pass

observed

The model can fetch the homepage, but cannot find a machine-readable product offer or a concise answer target.

agent prompt

Add Product and Organization schema, then validate the rendered HTML and re-run this check.

included audit surfaces

01

Crawlability

Robots, canonicals, redirects, status codes, and AI-crawler access.

02

Structured Data

Product, Organization, FAQ, breadcrumb, and offer markup review.

03

Entity Clarity

Brand, category, audience, proof points, and external trust signals.

04

Content Structure

Headings, comparison content, page coverage, and information architecture.

05

Answerability

Buyer-prompt clarity, citable claims, comparison copy, and structured content.

06

Trust Signals

Security, provenance, corroboration, policies, and external proof points.

§ optimize

check detail / northstarcrm.com
ready

check detail

Product schema is missing

AI engines see a page, not a structured offer.

fail

observed

Pricing and plan details render as prose, with no Product, Offer, or Organization schema in the HTML.

expected behavior

The page exposes valid Product and Offer data that matches the visible pricing and plan details.

generated fix

effort · med

Add Product, Offer, and Organization schema, then validate the rendered HTML against this check.

actions

generate fixverify fix

Optimize from clicked-open checks.

Each finding opens into its purpose, observed evidence, expected behavior, discovery impact, and a credible benchmark when enough data exists.

observed

The measured crawl, page signal, or screenshot detail behind the selected finding.

expected behavior

The check-specific passing condition, available immediately without generated copy.

generate fix

Agent-ready implementation guidance for the selected issue.

validate

Re-run the check and compare the result after the site change.

§ monitor

monitor / northstarcrm.com
4 weeks

monitoring loop

01 / Baseline

Save the audit score and failed checks for the site.

02 / Optimize

Ship the selected schema, entity copy, and proof fixes.

03 / Validate

Re-run the check and record what changed in the report.

04 / Monitor

Compare AI answers, citations, and competitor mentions.

beforesite changeafter

before

"Northstar CRM is not mentioned. The answer names two larger competitors and cites public pricing pages."

after

"After schema, comparison copy, and proof pages shipped, Northstar CRM is named in 5 of 6 tracked buyer prompts."

Compare what changed after you fix the site.

Run AI visibility manually from My sites to compare captured answers, citations, and competitor mentions. Premium adds recurring checks and change alerts when the ongoing view matters.

answer share

+28

points

competitors

-3

fewer named

cadence

7d

premium checks

Run a manual check anytime. Premium adds scheduled tracking and change history.

§ how it works

step · 01

Paste a URL

in the audit bar above ↑

Drop any URL in. No signup, no card, no install. First run is free.

step · 02

Fix the priority issues

priority-ranked findings

Review crawlability, structured data, trust, and AI answerability. Every finding shows the observed issue and a prioritized fix.

step · 03

Check AI visibility

continue in My sites →

Start the first manual AI visibility check from the report. My sites generates the question set, captures responses, and keeps the audit baseline beside them.

§ for modern pipelines

Wire NM Signals into modern pipelines

Same engine as the web app, exposed as a REST API, a CLI, and an MCP server. Add deploy gates when they help, or call checks from Claude Desktop, Cursor, and internal tools.

~/audit · example.com · 63.0s
$ nms audit example.com→ phase: fetching … 200 OK→ phase: checking · readiness signals→ phase: finalizing
URL: https://example.comScore: 70
[pass] Fetch & URL Integrity (92)[pass] Bot access (78)[warn] Extractability (64)[pass] Structured Data (82)[fail] Trust & Security (65)[warn] Authority (70)
22 findings · report ready in 0.4s(free: 1 audit/day · Premium: higher daily limits)$

CLI docs · API reference · MCP server · CI/CD recipes

use it three ways

01

Web report

Paste a URL, review the observed evidence and expected behavior, then generate implementation guidance when you need it.

02

CLI / CI

Run the same checks in GitHub Actions, GitLab CI, or any shell when deploy gating is useful.

03

API + MCP

Call audits from internal tools, Claude Desktop, Cursor, or any MCP-compatible client.

§ faq

What does "AI-ready" mean?+

AI search engines like ChatGPT, Perplexity, and Google AI Overviews crawl, parse, and summarize websites differently than traditional search. An AI-ready site makes its content easy for these systems to discover and accurately represent.

Is the audit really free?+

Yes. No signup is needed for the first AI readiness audit. Create a free account to save one site and run up to 4 manual AI visibility checks per month. Scheduled checks and email alerts require Premium. No credit card to start.

What happens in the AI visibility check?+

We generate a focused question set from the audited brand and ask an AI model those questions. My sites shows the captured responses, whether the brand was named, its position, competitors, and change over time.

How are industry benchmarks calculated?+

We continuously audit top-ranked websites across 20+ industries and compute percentile rankings so you can see where you stand.

Can I audit competitor sites?+

Absolutely. Enter any public URL to audit it, whether it's your own site, a competitor, or any page you're curious about.

Does it work with Claude Desktop, Cursor, or other AI clients?+

Yes. Premium subscribers get an MCP server at /api/mcp that exposes the audit engine as tools. Add it to Claude Desktop, Cursor, or any MCP-compatible client and your AI agent can run audits and check quota directly. See /docs/mcp.

§ run an audit

Inspect a website for discoverability.

Free, immediate results: no account needed.