Module 01 · Hermes Visibility
The brain. Measures where AI cites you, across nine engines, every week.
Hermes measures what the engines say about you. Weekly scans across nine generative AI engines. Per-engine scoring 0–100. ShareOfAnswer aggregate. Competitor citation maps. The work list ranked by closeable gap.
Scanned weekly
- ChatGPT
- Claude
- Perplexity
- Gemini
- Grok
- DeepSeek
- Kimi
- Google AIO
- Copilot
Why measurement is the first move
Eight in ten brands are flying blind on AI search.
In 2026, 800 million people ask ChatGPT a question every month. AI Overviews handle a third of Google searches. The buyers who used to click your blog now read a one-paragraph AI-generated answer instead. If your brand is not in that answer, you do not exist in the consideration set.
Most agencies are still optimising for Google #1 like it is 2018. Most analytics tools cannot see AI engine output. The closeable gap is huge — but you cannot close what you cannot see. Hermes shows you exactly where the gap is.
Step 01 · Scan
Weekly per-engine query rotation
For each tier, Hermes queries every major AI engine with a rotating set of category-relevant questions. We use real buyer language, not vanity branded queries. Each scan touches ~30-100 questions per engine — enough surface area to detect ranking deltas, not just brand-name pings.
Step 02 · Score
Three-layer scoring per engine
Layer 1 = presence (does the engine mention you at all). Layer 2 = tier (first-named, second, or just enumerated). Layer 3 = evidence (does the engine attribute a specific quote or source). Aggregated to a 0-100 score per engine plus a ShareOfAnswer composite.
Step 03 · Map
Citation graph + gap list
Hermes maps which sources AI engines cite WHEN they talk about your category. That citation graph becomes the gap list: which third-party publications, review platforms, or content surfaces you are missing from. ContentOS Engine then ships work that closes the largest gaps first.
What arrives in your dashboard
The audit, the map, the work list. Re-shipped every week.
- Per-engine citation report — for each of 9 engines, a list of category queries + how (and whether) you appeared. Updated weekly.
- Competitor citation map — for your top 3 (Category Winner) or 10 (Scale) competitors, the same per-engine breakdown. Side-by-side.
- Source graph — which third-party sources AI engines cite when discussing your category. Ranked by citation frequency × authority weight.
- Gap analysis — explicit list of where rivals appear and you do not, and which 3 moves close the largest gap first.
- ShareOfAnswer trendline — your aggregated visibility score over time. Up = closer to the default recommendation.
- CSV exports + dashboard sharing — read-only dashboard URL for your team; CSV pulls for downstream BI tools.
FAQ
Hermes Visibility — common questions.
How often does Hermes scan?
Weekly across Category Winner, Scale, and Done-for-you tiers. Starter gets a one-time audit. Each scan re-queries every engine with your brand + top-3 competitors across category-relevant questions; weekly cadence catches index updates that AI engines refresh every ~7-14 days.
Which 9 engines are covered?
ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, Google AI Overviews, Yandex Neuro, Alice (Yandex), and DeepSeek. EN + RU coverage on each. We rotate the query set per category to surface citation deltas, not just brand-name pings.
What does the scoring actually measure?
Three layers: (1) presence — does the engine mention you at all on category-relevant queries; (2) tier — are you in the first-named position, the second, or just enumerated; (3) sentiment + evidence — does the engine attribute a specific claim or quote a source. Score is normalized 0-100 per engine, plus an aggregate ShareOfAnswer.
Can I track competitors?
Yes — Starter tracks you only; Category Winner tracks you + 3 competitors; Scale tracks you + 10 competitors; Done-for-you is custom. The citation map shows who AI engines cite WHEN talking about your category — so you see exactly which sources to displace.
How is Hermes different from Profound, Otterly, AthenaHQ?
Hermes is part of a closed loop with ContentOS (production) + Website Agentic Optimization (foundation). Profound/Otterly/AthenaHQ are measurement-only — they tell you the score, you go fix it elsewhere. The 4-tool stack costs $1.5-3K/mo. Humanswith.AI Scale at $2,497/mo replaces all of them with one closed-loop platform.
Is the data exportable?
Yes — CSV export of citation events + per-engine scores. Hermes also has a read-only dashboard URL you can share with your team. Webhook integration to Slack/Telegram/Twenty CRM available on Scale+ tiers.
Run your brand through Hermes before the call.
You arrive to a per-engine citation map of your category, the closeable gaps, and an honest read on whether any tier fits. No deck. No pitch. Just the audit.