25+
technical & entity signals scored per audit
No pitch. Just watch it run.
See exactly what ChatGPT and Perplexity say about your brand — right now, live.
Skip the deck. Type your domain, hit run, and watch a real technical scan and a real AI-visibility probe happen in front of you — free, no card, no login.
NO CARD REQUIRED · RESULTS PUBLIC BY DEFAULT · $49 TO KEEP PRIVATE
Prefer to read first? See pricing.
Trusted measurement
A reproducible methodology for tracking AI visibility — built on captured prompts, scored signals, and engine-by-engine evidence. No black boxes.
4
frontier engines probed every run
5
composite scores per brand, 0–100
∞
audit history retained per workspace
Platform
One platform for everything AI says about you.
Audits, monitoring, and reporting in a single workspace. Built so a marketing team and an engineering team can use the same numbers.
Workspace
Purpose-built, reproducible, engine-agnostic.
Every audit is a snapshot of how AI sees your brand at a moment in time. Stack them across weeks and you have a defensible curve. Run them across competitors and you have a category benchmark. The platform handles the orchestration — your team handles the strategy.
Audits
Probe ChatGPT, Claude, Perplexity, and Gemini with five prompt classes. Capture every answer. Score every signal.
Monitoring
Schedule re-scans. Get drift alerts when an engine flips on you.
Reporting
Branded HTML and JSON export, a print-ready view (Cmd+P → Save as PDF), and a public-share URL for stakeholders.
How a probe runs
A measurement pipeline, not a checklist.
Every score traces back to a captured artifact: a prompt, an answer, a header check, an entity record. You can audit the auditor.
01 / Capture
Site + entity ingest
Crawl the site. Pull headers, schema, sitemap, llms.txt, OpenGraph, robots policy. Resolve the brand against Wikidata and Wikipedia.
02 / Probe
Multi-model prompting
Run five prompt classes against ChatGPT, Claude, Perplexity, and Gemini. Persist every raw response with timestamps, model versions, and citations.
03 / Score
Composite scoring
Five composite scores (Overall · Clarity · Differentiation · AI citability · Entity authority) computed from the captured signals. Weights documented.
04 / Surface
Prioritised remediation
Top three fixes ranked by expected score impact. Each with current copy, rewrite, and the reason it moves the number.
05 / Track
Longitudinal comparison
Re-scan on demand or schedule. Diff every signal. Detect engine drift before it costs you pipeline.
06 / Export
Reportable output
Branded HTML for stakeholders, structured JSON for engineering, a print-ready view for Save-as-PDF (Cmd+P), and a public link for clients. Same data, four surfaces.
Full lifecycle
One run, start to finish.
A third take — the complete trip, six stages, one continuous run. Nothing skipped.
stand scope · running
headers
schema
sitemap
llms.txt
chatgpt
claude
perplexity
gemini
0
overall score
#1 · +12
#2 · +8
#3 · +5
Δ +6 vs last scan
HTML
JSON
PDF
>
starting the run — resolving site + entity…
The front door
Free live probe. $49 to keep it private.
Run ChatGPT and Perplexity against your domain live — free, no card required. Want it private from the start instead of public by default? $49, one time, up top before you even run it.
Run yours — free
no login required · results in the live view
Models
Every frontier model, side-by-side.
No vendor preference. No single-model bias. Buyers move between engines — your measurement should too.
OpenAI
ChatGPT
Largest consumer surface area. Recognition here predicts general-market awareness.
Anthropic
Claude
Preferred by technical and operator audiences. A higher bar — recognition signals real authority.
Perplexity
Perplexity
Citation-native. Surfaces the exact sources AI is pulling from when discussing your brand.
Google
Gemini
Tied to Google's index and AI Overviews. A leading indicator for Search Generative Experience visibility.
Trust
Built on verifiable evidence.
Every claim in a Stand Scope report is backed by a captured artifact. We retain the raw payloads. You can re-derive the score.
Auditable
Reproducible. Inspectable. Versioned.
Model versions, prompt text, and timestamps are captured on every probe. Site signals are stored as the raw response, not a summary. If a vendor disputes a score, you can re-derive it from the artifact.
Reproducible
Same prompt, same model, same week — same answer captured for both your team and ours.
Versioned
Every audit is timestamped and immutable. Comparison reports diff signal-by-signal.
Portable
Export to JSON. Pipe into your warehouse. Own your AEO data.
Who it's for
Teams that treat AEO as infrastructure.
Founders defining a category. Marketing teams owning AI visibility as a metric. Agencies running it at scale.
Founders & GTM
Define the category
Verify what AI says when a buyer asks for "the best X." Track the gap to incumbents. Close it deliberately.
In-house marketing
Own AEO as a metric
Five composite scores, monthly trend lines, evidence on every claim. Walk into the QBR with numbers, not narrative.
Agencies & consultancies
Operate at scale
Run audits across up to 10 monitored brands per workspace. Schedule re-scans. Branded HTML/JSON export with a print-ready view. Read-only audit history API on Agency tier.
Scope
What we don't do.
If a buyer asks for any of the below, we are not the right vendor. The platform is the product.
× Bespoke websites or web design
× Outbound / SDR / lead-gen builds
× CRM implementation, RevOps consulting, pipeline systems
× “AI strategy” decks
× SEO services — link building, content production, ranking work
Recent teardowns
Real brands, real model output.
This is the same probe-and-score pipeline every audit runs — applied publicly.
northlake.io
Overall 58 / 100
Named correctly by 3 of 4 models, but never cited as a source — no llms.txt, thin entity graph.
fernwood-analytics.com
Overall 71 / 100
Strong Wikidata presence carries entity authority; category description drifts across models.
brightloop.ai
Overall 44 / 100
Confused with a same-named competitor by Perplexity in 4 of 5 prompt runs.
Illustrative examples — fictitious brands, real scoring mechanism.
No pitch needed
You just watched it work. That's the whole pitch.
Haven't run one yet? Free Probe Check up top — no card, no login. When you want monitoring, full history, and the remediation plan across every engine, the platform's ready.