← The Index  /  data
Scored by model · 2 samples, median · No human review
Rank 113 of 128 · clearer than 12% of the index, 0% of data · Reviewed 2026-10-12

Redis

redis.io  ·  data
57
GRADE C
BAND 52–62

What their homepage claims

“Redis - Real-time data for agents & apps”

What that means

Redis provides real-time data services and AI context tools for applications and agents.

Verdict

The copy establishes some concrete numbers but the headline remains vague about a specific product category, limiting clarity. It also lacks a single, decisive CTA under the headline.

What to fix first

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.

  1. 1Clarity quick win 20 → 35+4.5

    Use a concrete product noun in plain words, e.g., "Redis data store for real-time contexts".

  2. 2Call to action quick win 80 → 95+2.3

    Place a direct, low-friction CTA under the main claim.

  3. 3Proof needs a fact 5 → 20+2.3

    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.

A plainer headline

Theirs
“Redis - Real-time data for agents & apps”
Index’s suggestion
“Redis data services for real-time AI apps and agents”

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.

Where the score comes from

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 →

Clarity30% 20

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".

Specificity20% 95

The page includes numeric outcomes about accuracy and cost.

86.5% accuracy. ~$0.07 per session.
Jargon-free20% 95

Claim contains no jargon terms; the language is plain.

Redis - Real-time data for agents & apps
Proof15% 5

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.

Call to action15% 80

Several CTAs exist; at least one clearly aligns with taking action.

Get started

Next rungPlace a direct, low-friction CTA under the main claim.

Evidence

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.
What the scorer was given first 1,500 characters of the homepage text — check the quotes yourself
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.
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Redis Flex
FLEX
Scale your data. Not your spend.
Tie

How this compares

12%of the index scores lower
-12vs index mean (69)
-14vs data mean (71)
-13vs median (70)
100%of headline words survive
2×independently scored

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.

Nothing struck

No word in the headline itself was judged empty. That is rare: 12 of 128 companies in the index manage it.

Share this rating

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.

Provenance

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.