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., a specific data-querying capability.
Eliminate abstract terms from the core claim and replace with concrete activity or capability.
Place a single clearly framed CTA that follows a concrete claim, such as Start Free after a key result.
All three together: 66 → 76. Every dimension one rung up: 78 (grade B). 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 starburst.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 uses abstractions like “Platform” and “Intelligence,” which are not concrete product nouns.
Enterprise Intelligence Platform | Starburst
Next rungUse a concrete product noun in the headline, e.g., a specific data-querying capability.
page includes multiple specific numbers tied to outcomes (e.g., 100,000+ ETL pipelines eliminated, 2.5x faster).
100,000 + ETL pipelines eliminated
Contains abstract terms in the main claim (“Platform,” “Intelligence”).
Enterprise Intelligence Platform | Starburst
Next rungEliminate abstract terms from the core claim and replace with concrete activity or capability.
Names several real customers (British Airways, Citi, etc.) but no accompanying numbers.
British Airways Citi Talkdesk Optum Lockheed Martin Comcast ZoomInfo S&P Global Rippling Royal Bank of Canada SpotHero
Next rungAdd customer metrics or specific named case results to back claims (e.g., 2.5x faster, 50% lower cost).
Multiple actionable next steps align with trial or contact, albeit not consistently under a single promise.
Start Free → See AIDA in action
Next rungPlace a single clearly framed CTA that follows a concrete claim, such as Start Free after a key result.
Enterprise Intelligence Platform | StarburstShows the abstract product category in the main headline.
Access and query data across systems with a unified context layer. No pipelines or copying required.Supports the concrete capability but not a concrete product noun.
Enterprise Intelligence Platform | Starburst Stop moving data. Start using it. Access and query data across systems with a unified context layer. No pipelines or copying required. Start Free → See AIDA in action 100,000 + ETL pipelines eliminated 50 % lower cost than CDW 2.5 x faster than Trino Starburst is trusted by: British Airways Citi Talkdesk Optum Lockheed Martin Comcast ZoomInfo S&P Global Rippling Royal Bank of Canada SpotHero The Starburst Difference Your AI is only as good as your data context. Put one governed intelligence layer over the data you already have. So every decision, analyst, and AI agent gets trusted answers without moving a byte. AI that answers from your data Get governed, real-time access to every source: no hallucinations, no ungoverned shortcuts. No migration required Access data from Snowflake, Databricks, Athena, Redshift, PostgreSQL, and 50+ more using a single SQL statement, all without copying a byte. Open by design, no lock-in Built around Trino and the Iceberg data lakehouse. Runs in the cloud, on-premises, and in hybrid environments. Your data, your infrastructure, your competitive advantage. Cloud data warehouses Data lakes (Amazon S3, ADLS) Databases Streaming & SaaS Starburst Federated · governed · open Analysts & business users BI tools AIDA AI agents (via MCP) No data copying required · Open Apache Iceberg · Runs in cloud, hybrid & on-premises Capabilities Raw data. Trusted answers. Without moving a byte. Five integrated layers: from
Strongest: Specificity 95. Weakest: Clarity 50. The 3 passes agreed within 7 points. The band 61–71 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.
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,
3 independent passes, median taken.
Page snapshot 74ba8e367f60.
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.