Ranked by what each change is worth on the composite — the gap to the next rung of the ladder times the dimension’s weight. Computed from the scores, not written by the model; the model’s sentence under each is the action.
Use a concrete product noun in the headline, e.g., 'Autonomous inspection software for hazardous facilities'.
Add a verifiable outcome metric (e.g., inspection cadence or data completeness) attached to a specific claim.
Use concrete terms only (no platform/layer references) to describe the product.
All three together: 54 → 65. Every dimension one rung up: 69 (grade C). Ceiling is 95.
Built only from facts already on the page — not the company’s words. Shown so the gap between what was written and what could have been written is concrete rather than a number.
Five alternative headlines in five angles, a subhead, a call-to-action line, and a line-by-line edit for each of the five dimensions — written only from facts already on salemroboticsinc.com, gated like a rating (anything with a struck word is dropped, not sold). Delivered on a private page in about a minute.
Five dimensions on one ladder — 5 · 20 · 35 · 50 · 65 · 80 · 95 — weighted clarity 30%, specificity 20%, jargon 20%, proof 15%, call to action 15%. For each: the rung the page matched, the words that drove it, and what would reach the next rung. Full rubric →
The headline does not name a concrete product noun; it uses an abstract phrase.
Salem Robotics | Autonomous Inspection for Hazardous Facilities
Next rungUse a concrete product noun in the headline, e.g., 'Autonomous inspection software for hazardous facilities'.
No measurable outcome is stated; one non-outcome line appears, but there is a timeframe for validation engagements.
Request a demo Scoped 1-2 week validation engagements.
Next rungAdd a verifiable outcome metric (e.g., inspection cadence or data completeness) attached to a specific claim.
Multiple abstract terms appear (Autonomy, platform/operating workflow) that obscure a concrete product.
Autonomy layer for hazardous-facility inspection
Next rungUse concrete terms only (no platform/layer references) to describe the product.
No named customers or measurable usage metrics are shown.
Nothing on the page addresses this.
Next rungProvide a named customer and a quantified outcome (e.g., minutes saved per inspection).
Clear primary CTA is present ('Request a demo'), aligned with the claim.
Request a demo
Next rungEnsure the CTA aligns with a demonstrable, specific outcome (e.g., schedule demo within 24 hours).
Salem Robotics | Autonomous Inspection for Hazardous FacilitiesShows the header used to judge clarity.
Request a demo Scoped 1-2 week validation engagements.Shows a concrete call-to-action with a time-bound engagement.
Salem Robotics | Autonomous Inspection for Hazardous Facilities Autonomy Software for Hazardous Industry Autonomous inspection and data collection in hazardous facilities. Salem Robotics automates routine inspections, surveys, and auditable reporting so teams can reduce exposure, collect consistent field data, and operate with less manual effort. Deploy on your existing robot, or one we provide as a turnkey Salem system. Request a demo Scoped 1-2 week validation engagements. ▶ Watch 2 min video Quadruped robot performing an inspection in an industrial facility Active Survey Route 01 Plan 02 Execute 03 Report Autonomy layer for hazardous-facility inspection Mission planning, robot execution, inspection data collection, and auditable outputs in one operating workflow. Built by roboticists with experience deploying autonomous systems in high-consequence industrial, national laboratory, and nuclear environments. Boston Dynamics Spot robot render Existing robot platforms Built around systems hazardous-facility operators are already evaluating or deploying. Compatible radiation-capable inspection instrument Compatible inspection instruments Measurement and inspection workflows designed around familiar field hardware. Autonomous survey planning map Autonomy outputs Route, measurement, and report artifacts that map back to procedures. Problem Routine inspections in hazardous facilities still depend on manual, exposure-limited work. Today, field technicians enter hazardous or difficul
Strongest: Call to action 80. Weakest: Proof 5. The 3 passes agreed within 10 points.
No word in the headline itself was judged empty, yet jargon-free scores 65: the scorer found generic phrasing further down the page. Multiple abstract terms appear (Autonomy, platform/operating workflow) that obscure a concrete product.
Badges are issued to grades A and B. The share card for this page shows the headline with its jargon struck through; paste the URL anywhere that unfurls links.
Scored from the live homepage
on 2026-10-11 by gpt-5-nano,
3 independent passes, median taken.
Page snapshot dccf400c8578.
Rubric 5abbca9a (current; what it says).
No person reviewed or edited this score. If the rubric and the score disagree, the rubric wins
and the page is re-scored — not hand-corrected.
Re-scored when the homepage text changes.