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 plain words, e.g., "Redis data store for real-time contexts".
Place a direct, low-friction CTA under the main claim.
Include a named customer or a measurable usage metric.
All three together: 57 → 66. Every dimension one rung up: 66 (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 redis.io, 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 conveys an outcome rather than a concrete product noun.
Redis - Real-time data for agents & apps
Next rungUse a concrete product noun in plain words, e.g., "Redis data store for real-time contexts".
The page includes numeric outcomes about accuracy and cost.
86.5% accuracy. ~$0.07 per session.
Claim contains no jargon terms; the language is plain.
Redis - Real-time data for agents & apps
No named customers or quantified proofs tied to specific users.
Trusted by fast companies across the globe
Next rungInclude a named customer or a measurable usage metric.
Several CTAs exist; at least one clearly aligns with taking action.
Get started
Next rungPlace a direct, low-friction CTA under the main claim.
Redis - Real-time data for agents & appsMain headline content driving clarity score.
86.5% accuracy. ~$0.07 per session.Concrete numeric outcome supporting specificity.
80% of AI projects stall without real-time context.Another concrete stat supporting specificity.
Get startedCTA present, but not a single, strongest next step under the headline.
Redis - Real-time data for agents & apps 86.5% accuracy. ~$0.07 per session. See how Redis stacks up in the Agent Memory Benchmark. Read the report Inquiring agents want to know: $ PROMPT How can I use Redis Iris as a real-time context engine for AI apps? Copy Try Redis Iris Get a demo What’s your problem ? Hallucinating agents Inconsistent answers Wrong decisions Poor app performance Token costs Feature inconsistencies Expensive memory Redis Context Retriever Find the right context, right away. Retrieve the most relevant data from your structured and unstructured data instantly with Redis-powered vector search—so your models always have the context they need to respond correctly. Learn more 80% of AI projects stall without real-time context. $ PROMPT Copied! How can I use Redis Context Retriever to improve the quality of my AI output? Start building in minutes Get started with Redis in your favorite LLM’s coding tools. See the docs Stop stitching tools together Work seamlessly from any stack with one unified platform for real-time agents and apps Trusted by fast companies across the globe Deploy anywhere . Scale any way . Redis Cloud In the cloud Build on any cloud while we host Redis for you. Get started Redis Hybrid Cloud On-prem/hybrid cloud Get the best Redis on the market and manage your own deployments. Get started Redis Community With open source Download Redis 8 and build with free open source software. Get started Redis Flex FLEX Scale your data. Not your spend. Tie
Strongest: Specificity 95. Weakest: Proof 5. The 2 passes agreed within 4 points. The band 52–62 is where a re-score of this unchanged page would most likely land: on 42 dry re-scores (12 Oct 2026) the median move was 6 points and one in four moved more than 10. A grade only changes when a new score clears the boundary by 5.
No word in the headline itself was judged empty. That is rare: 12 of 128 companies in the index manage it.
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 2026-10-12 by gpt-5-nano,
2 independent passes, median taken.
Page snapshot 99c7863457e3.
Rubric 7329c240 (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.