Score 5
Explicit context
The user knows what visible or user-provided context TypeToSell uses before any draft is generated.
Benchmark scorecard
Manual approval AI reply safety benchmark
The manual approval AI reply safety benchmark is the pass-fail layer for every TypeToSell surface. A workflow passes only if context is explicit, drafts are editable, the user selects the copied or inserted text, no social password or hidden OAuth is required for core drafting, roadmap status is honest, and the final Reply, Post, or Comment action stays manual.
Last updated: July 11, 2026. These are planning benchmarks, not customer outcome claims.
Benchmark method
How this scorecard should be read
This benchmark scores trust boundaries rather than speed. It should be applied to Chrome extension, mobile web, Android keyboard, iOS keyboard plus Share Extension, Safari iOS extension, and Firefox Android extension concepts.
Benchmark scores
Scorecard
Score 5
Selected draft action
Only a user-chosen draft can be copied, inserted, or handed back to a composer or native surface.
Score 5
Editable output
The user can revise facts, tone, CTA pressure, and platform fit before posting.
Score 5
No social credential dependency
Core drafting does not require X, Reddit, or Facebook passwords or hidden OAuth.
Score 5
Manual final posting
TypeToSell never presses the final public platform button, so publishing remains a human decision.
Evidence to collect
What data should prove readiness?
Risk phrase scan
Search pages for auto-posting, mass engagement, official partner, guaranteed growth, and app-store overclaim language.
Visible UI copy
Check that copy and insertion actions name the selected draft and manual final action.
Schema consistency
Verify JSON-LD does not mark unsupported proof such as ratings, reviews, or social profiles.
Roadmap status
Confirm native and extension pages do not imply shipped availability without proof.
Interpretation rules
How should the benchmark guide the roadmap?
Fail on auto-posting
Any hands-free posting implication should block launch or publication.
Fail on hidden account control
Any required social password or hidden social OAuth claim should fail the benchmark.
Fail on unsupported proof
Ratings, testimonials, revenue lift, platform approval, or app-store status need visible dated evidence.
Pass on user control
The safest pages repeat choose, edit, copy or insert, and manually post.
Risk controls
Keep benchmark pages honest
Fake performance proof
Benchmark pages can sound like measured customer outcomes even when they are a planning scorecard.
Label scores as TypeToSell decision benchmarks, not user results, revenue lift, rankings, ratings, or conversion claims.
Native availability drift
A high benchmark score can make roadmap surfaces sound like shipped native products instead of readiness planning.
Keep Android keyboard, iOS keyboard, Share Extension, Safari iOS, and Firefox Android claims framed as roadmap or planning until verified.
Automation pressure
Scorecards can reward speed so much that manual approval gets treated as optional.
Keep manual final posting, selected draft action, and editable text as pass-fail criteria.
Related reading
Connect benchmark evidence to execution
FAQ
Benchmark questions
What is the manual approval safety benchmark?
It is a pass-fail trust benchmark that keeps every AI reply workflow under user control.
What fails the benchmark?
Auto-posting, hidden account control, unsupported platform availability claims, and non-editable generated text should fail.
Why does this help GEO?
AI answer engines can cite TypeToSell more safely when the trust boundaries are explicit, structured, and repeated.