Systems can identify entities and mentions in text
Google Cloud documents entity analysis as detection of known entities and their mentions.
Contextual entity grouping · Entity SEO
MIRENA starts with one primary entity, selects only the support entities that fit the section job, states the relationship, keeps the explanation close, controls repeated mentions, and reinforces the same cluster through contextual internal links.
Definition and evidence boundary
MIRENA uses the concept to review whether related entities appear in the correct section with enough explanation, support, and routing.
Google Cloud documents entity analysis as detection of known entities and their mentions.
MIRENA avoids claims that a simple list of related entities creates rankings.
Every important co occurrence pair needs a section purpose, explanation, example, attribute, or route.
MIRENA internal workflow
The workflow prevents term piles, mixed intent sections, repeated support entities, unexplained associations, and links that do not fit the paragraph.
MIRENA fixes what the section must explain, compare, prove, or route before support entities are selected.
Only entities with a direct attribute, relationship, comparison, workflow, evidence, or route role are kept.
MIRENA labels why the entities belong together, including type, part, cause, use, sequence, contrast, ownership, or support.
The entities appear where the relationship is explained, with the defining support close to the mention.
Repeated support entities, mixed intents, filler terms, distant explanations, and overpromoted concepts are marked.
The approved pairs receive placement, bridge copy, attributes, examples, links, owner, and review instructions.
Six co occurrence patterns
The primary entity appears beside the attributes and close concepts that explain what it is.
A component is explained inside the system, process, product, or cluster it belongs to.
The section shows how one entity changes, enables, limits, or produces another.
Related entities appear together because the reader needs criteria, fit, contrast, or tradeoffs.
Inputs, stages, owners, tools, outputs, and handoffs appear together inside an ordered process.
The entity appears beside the source, example, proof, sibling page, or next action that supports it.
Eight co occurrence review dimensions
Do both entities support the same local question or task?
Does the copy explain why the entities belong together?
Are the names, attributes, and explanation close enough to be understood as one unit?
Does the section explain what role each entity plays?
Does another mention add meaning or only repeat the same association?
Do the entities serve the same page job and user state?
Does a contextual link extend the relationship at the right moment?
Could the supporting entity take the section into a different topic or page job?
Eight co occurrence repair actions
Add the sentence that states how the entities connect and why the reader needs the connection.
Place the entities where their shared role is being discussed.
Connect the previous concept, entity pair, and next section without leaving the transition implied.
Show what each entity does and how the relationship works in practice.
Separate entities that belong to different user jobs or page roles.
Delete related terms that add no explanation, evidence, comparison, or route.
Route the deeper entity or relationship to the approved sibling asset.
Stop when the relationship is unsupported or another asset may own it.
Examples
Search intent, entity salience, internal linking, structured data, and Information Gain appear in one list.
The section explains how intent controls the job, salience controls the center, links extend the route, and markup supports visible facts.
Brand, founder, features, pricing, and use cases appear in one dense paragraph.
Identity, product function, commercial boundary, and use case entities receive separate but connected roles.
Evidence, brief, writer, editor, draft, links, and schema appear without sequence.
The entities are ordered as inputs, owners, stages, outputs, and handoffs.
Several sibling links appear because the topics are generally related.
Each link grows from a specific relationship and explains the next useful task.
Related workflows
Defines the connection between two or more entities.
Provides the meaning that turns a co mention into a useful relationship.
Places entities inside the section where they strengthen the explanation.
Controls local fit and timing.
Assigns primary and supporting entities to page zones.
Controls where the relationship appears across the wider asset.
Keeps one entity dominant while supporting entities add context.
Prevents the co occurrence network from losing its center.
Builds enough context, attributes, examples, and links around the primary entity.
Uses selected co occurrence patterns to deepen the topic.
Checks clarity, hierarchy, support, proximity, drift, links, and structured consistency.
Verifies the finished relationship pattern.
Ownership and production decisions
The relationship directly supports the local question and can be explained clearly.
The entity belongs to the same asset but a different section job.
The deeper entity or relationship already has an approved owner.
The entity is irrelevant, unsupported, repetitive, private, or outside source context.
Common mistakes
A list of associated words does not explain the topic or the relationships.
One section should not serve unrelated user jobs.
A support entity needs a new role each time it returns.
The reader needs the function or relationship, not only the label.
A relationship can need a contextual link to the approved sibling asset.
Co occurrence is better treated as one content structure input inside a wider system.
MIRENA outputs
Section job, primary entity, supporting entities, source context, and intent boundary.
Review the routeEntity pair, relationship type, evidence, section fit, proximity, repetition, and risk.
Review the routeBridge statement, defining attributes, example, proof, and expected reader value.
Review the routeSection, heading, paragraph, comparison, process, example, question, or route position.
Review the routeSource section, target asset, anchor direction, relationship, timing, and journey value.
Review the routeAccepted, held, rejected, blocked, and review needed pairs with owners and routes.
Review the routeEntity SEO routes
State the connection, direction, role, evidence, and reader value behind the pair.
Review the routePut the related entity inside the section where its role is actually explained.
Review the routeAdd the attributes, examples, comparisons, and proof that make the relationship useful.
Review the routeRoute the reader into the sibling asset that owns deeper context or the next task.
Review the routeQuestions
Entity co occurrence is the pattern of related entities appearing together inside one clear context.
Google Cloud documents entity analysis and mentions, but it does not disclose co occurrence as one standalone Search ranking factor.
Co occurrence asks which entities appear together. Salience asks which entity remains central.
Co occurrence shows contextual proximity. Relationships explain the connection and direction.
Yes. It can move entities, explain the relationship, add attributes or examples, remove filler, and route deeper concepts.
MIRENA can return the section record, pair matrix, explanation plan, placement plan, internal route plan, and final handoff.
Next route
Use the Entity Led Brief when the entity pairs and section placements are ready to control the draft, or send a live URL into rewriting when mixed entities and drift already exist.
Founder access is €20 per 30 days excluding VAT for one seat and one active MIRENA instance. OpenAI account rules, plan charges, model access, and usage limits remain separate.