Search feature reference

Table snippets: what they are and how MIRENA uses the signal

A table snippet is a search extract that uses visible rows and columns from an asset to answer a comparison, breakdown, pricing, feature, or criteria query.

Table snippets are selected by Google. Publishers can improve the underlying table and context, but they cannot mark a table as a guaranteed snippet. MIRENA uses the result pattern as evidence for format choice, table design, and section review.

See the MIRENA process Open the full ring

Informational reference Reference intent Five internal stages One owned handoff

Asset job Explain the table snippet pattern, its likely query shapes, its limits, and the operational routes that act on the signal. The user task controls the format.

First stage Identify the query shape Evidence comes before content changes.

Primary output Reference definition Every decision keeps its reason.

Search boundary No display promise Search systems decide the result presentation.

Ring position

Table Snippets belongs to the search feature reference route.

Role inside the ring

Explain what the search presentation is, what publishers can observe, and which MIRENA workflow acts on the signal. The asset receives evidence from the hub and returns approved work, reference notes, or an owned next route.

When MIRENA uses the asset

Start from the visible need rather than a generic feature request.

A query shows row and column extracts.
A team needs to understand why a table format appears.
A current table candidate needs better design.
A snippet loss audit finds a table replacement.

Internal MIRENA process

Five stages move the evidence into a controlled handoff.

The stages stay sequential. MIRENA stops when page ownership, intent, proof, technical access, current platform support, or approval is missing.

Identify the query shape

Comparison, breakdown, pricing, specification, or criteria intent is recorded.

Read the extracted structure

Headers, rows, values, source section, and surrounding context are observed.

Check the source asset

MIRENA records table clarity, entity labels, evidence, mobile use, and freshness.

Choose an operational route

Design, comparison, section targeting, or loss audit receives the evidence.

Monitor the pattern

The result set is treated as changing evidence rather than a permanent rule.

Acceptance checks

The asset is reviewed against the user task and current platform rules.

Acceptance check

Visible source

The extracted data exists in visible content.

Acceptance check

Clear entities

Rows and columns identify the compared concepts.

Acceptance check

Consistent criteria

Values are comparable.

Acceptance check

Context

The table has a question, setup, and takeaway.

Acceptance check

Mobile use

The source remains readable on narrow screens.

Acceptance check

Expectation

No snippet display is promised.

Failure patterns

MIRENA blocks shortcuts that create weak content or false search expectations.

Failure pattern

Magic markup

A special schema type is presented as a table snippet switch.

Failure pattern

Decorative grid

A table is added without a reader question.

Failure pattern

Inconsistent data

Rows use different criteria or units.

Failure pattern

Static rule

One result layout is treated as a permanent search requirement.

Reference handoff

Use the signal to choose an operational workflow.

The informational intent does not benefit from a standalone prompt. MIRENA consumes the observation through the related planning, writing, formatting, entity, or audit workflow.

Reference intent

No standalone prompt is needed for the reference asset.

The job is to explain the search presentation accurately, record what can be observed, and send actual production or audit work into an operational MIRENA workflow.

Table Design for Search master workflow Comparison Formatting master workflow Comparison Tables reference Snippet Loss Audit master workflow

MIRENA handoff