Receive the asset and context
MIRENA receives the page, brief, draft, query, audience, offer, proof, result set notes, and internal overlap notes.
Internal MIRENA review
MIRENA applies the Information Gain Scorecard for you.
You provide the asset, source context, target query, result set evidence, internal overlap notes, and available proof. MIRENA reviews seven categories, checks evidence readiness, identifies the weakest areas, and returns the repair priorities and next workflow route.
7 categories
35 points available
5 evidence checks
3 repair priorities
BaselineResult set and internal overlapMIRENA separates required context from weak repetition
ScoringSeven categoriesEach category receives a one to five review
ReadinessFive evidence checksThe score remains provisional until the inputs are ready
HandoffThree repair prioritiesThe lowest categories receive the first routes
How MIRENA runs the scorecard
Six internal stages turn the asset into a scored repair handoff.
Build the baseline
MIRENA separates necessary result set consensus from repeated language, examples, claims, and structure.
Score seven categories
MIRENA rates sameness control, missing angles, entity depth, answers, format, proof, and reader progress.
Check evidence readiness
MIRENA confirms source context, result set review, internal overlap, proof availability, page goal, and target query.
Find the weakest categories
MIRENA identifies the three lowest categories and maps each one to a repair module.
Route the next job
MIRENA returns the score, review state, repair plan, missing inputs, owner, blocker, and next workflow.
Seven score categories
MIRENA reviews useful difference from seven connected angles.
The anchors show what a weak, partial, and strong result looks like. MIRENA uses the full source context rather than judging a category in isolation.
01
SERP sameness control
MIRENA checks whether the asset keeps necessary baseline coverage without repeating the dominant headings, claims, examples, and structure.
Review the low, middle, and high anchors
Low
The asset closely repeats the result set.
Middle
One or two sections add a clearer angle.
High
Required context remains, while the rest moves the topic forward.
MIRENA repair route
SERP Redundancy Baseline and Competitor Overlap Audit
02
Missing angle coverage
MIRENA checks whether the asset owns an underdeveloped comparison, question, subtopic, use case, or decision lens.
Review the low, middle, and high anchors
Low
No meaningful gap is covered.
Middle
One useful gap receives partial treatment.
High
The asset owns a clear angle the result set still handles poorly.
MIRENA repair route
Novel Subtopic Discovery and Unique Angle Selection
03
Entity and attribute depth
MIRENA checks whether the main entity is supported by the attributes and relationships needed for understanding and choice.
Review the low, middle, and high anchors
Low
The entity is named but thinly explained.
Middle
Useful supporting attributes are present.
High
Attributes and relationships clarify fit, limits, and decisions.
MIRENA repair route
Entity Attribute Gap Review and Missing Relationship Opportunity
04
Answer quality
MIRENA checks whether the answer appears quickly, clearly, and with enough support to develop the point.
Review the low, middle, and high anchors
Low
The answer is buried, vague, delayed, or unsupported.
Middle
The answer appears early but the support remains weak.
High
The answer is direct and develops through explanation, example, or comparison.
MIRENA repair route
Answer Gap Analysis and Weak Answer Repair Plan
05
Format fit
MIRENA checks whether the answer uses the paragraph, list, comparison, table, process, question, or evidence structure the user task needs.
Review the low, middle, and high anchors
Low
The format works against the page purpose.
Middle
The asset is readable but the structure carries the idea poorly.
High
The format makes the useful difference easier to understand and retrieve.
MIRENA repair route
Format Upgrade Plan
06
Proof and specificity
MIRENA checks whether claims, distinctions, examples, and recommendations have concrete support.
Review the low, middle, and high anchors
Low
Broad claims have little grounding.
Middle
Some useful detail appears but proof remains incomplete.
High
Examples, distinctions, and source support make the value difficult to replace.
MIRENA repair route
First Hand Input Inventory and Evidence Block Builder
07
Reader progress
MIRENA checks whether the asset helps the reader decide, complete a task, follow a route, or move to the next useful action.
Review the low, middle, and high anchors
Low
The asset explains but leaves the reader stuck.
Middle
The asset hints at next steps.
High
The asset moves the reader into a clear decision, task, support route, or next page.
MIRENA repair route
Decision Support Gap and internal route review
Illustrative MIRENA output
A 22 point result returns as a mixed asset with three named repair priorities.
The example shows the shape of the handoff. It is not a client result, ranking claim, or live score.
22
out of 35
Mixed
- SERP sameness2 out of 5
- Missing angle4 out of 5
- Entity depth3 out of 5
- Answer quality4 out of 5
- Format fit3 out of 5
- Proof2 out of 5
- Reader progress4 out of 5
First repair priorities
- SERP sameness controlMap repeated coverage and isolate the required baseline.
- Proof and specificityCollect first hand input and add a supported evidence block.
- Entity and attribute depthAdd the missing attributes or relationships that change understanding.
Review states
The total decides the review state, not the search outcome.
Move to editorial QA, claim review, accessibility checks, and internal link review.
Repair the lowest categories before approval.
The topic fits, but useful difference is inconsistent across the asset.
Return to the baseline, gap, evidence, or structure work before production continues.
MIRENA repair routes
The weakest category determines the next module or workflow.
SERP Redundancy Audit
Map repeated coverage and isolate the required baseline.
Review the redundancy auditInformation Gain prompts
Choose the smallest gap, evidence, score, repair, or handoff module.
Browse all 34 promptsEntity Attribute Gaps
Find missing properties and relationships that change meaning or choice.
Review attribute gapsContent Briefs
Turn the approved angle, proof need, format, and route into a controlled brief.
Open the briefing routeDrafting and Rewriting
Repair the failed blocks after the scope, evidence, and structure are approved.
Open the rewrite routeSemantic Internal Linking
Route the reader into the next useful page, proof path, support path, or action.
Open the internal link routeQuestions
Information Gain Scorecard questions.
Does the visitor run the Information Gain Scorecard?
No. MIRENA applies the scorecard inside its workflow. The visitor supplies the asset, source context, result set evidence, and available proof.
What does MIRENA score?
MIRENA scores SERP sameness control, missing angle coverage, entity and attribute depth, answer quality, format fit, proof and specificity, and reader progress.
What does MIRENA return?
MIRENA returns the total, review state, evidence readiness, lowest categories, repair priorities, missing inputs, and the next workflow route.
What information should be supplied?
Provide the page, draft, brief, target query, source context, current result set notes, internal overlap notes, and available proof or first hand input.
Does a strong score guarantee rankings?
No. The scorecard creates a consistent review and repair method. Search outcomes still depend on competition, authority, implementation, technical quality, links, maintenance, and later measurement.
What happens after MIRENA scores the asset?
MIRENA routes the work into briefing, rewriting, topical planning, internal linking, result format planning, later schema cues, or a hold state.
Next route
Give MIRENA the asset and evidence. MIRENA returns the scored repair handoff.
Use the 34 Information Gain prompts for deeper baseline, gap, evidence, score, repair, and handoff work.
Founder access is €20 per 30 days excluding VAT for one seat and one active MIRENA instance. OpenAI account rules and usage limits remain separate.