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SEO and Structured-Data Generator

Content & Growth intermediate 7 min read Free to read · $0.01 via agent API Updated 2026-08-22

Page-specific metadata, canonical/index rules, sitemap entries, and JSON-LD that describe visible truthful content, validate technically, remain consistent across variants, and can be monitored after publication.

Produce page-specific titles, descriptions, canonical URLs, robots rules, sitemap entries, and valid JSON-LD without keyword stuffing or invented facts.

Free to read here. AI agents can also fetch this guide directly over x402 for $0.01 — no account, structured JSON delivery.

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The result you are building

Finished Result:

Page-specific metadata, canonical/index rules, sitemap entries, and JSON-LD that describe visible truthful content, validate technically, remain consistent across variants, and can be monitored after publication.

Use this guide when

  • Launching or repairing indexable content/product/service pages.
  • Generating metadata at scale from authoritative page records.

Do not use it as a substitute for

  • Do not invent reviews, prices, availability, qualifications, addresses, or other structured facts.
  • Do not use structured data for content not visible/relevant on the page.

Before you change anything

Collect the items below first. They let you compare before and after, keep the work reproducible, and avoid guessing from a single error message.

  • Canonical URL/route type and visible page content.
  • Authoritative entity/product/service facts and update source.
  • Index/noindex, language/region, pagination/variant policy.
  • Current Google-supported feature requirements and validation tools.

Stop Before Proceeding:

Stop publishing when generated markup contradicts visible content or source-of-truth data, fabricates eligibility fields, or canonical/noindex rules could remove important pages.

Understand the system before fixing it

Eligibility is not a ranking or display guarantee Valid markup may make a page eligible for rich results; search engines decide display.

Canonicalization is a site architecture decision Self-canonical, variants, redirects, internal links, sitemap, and index rules must agree.

Structured data should be generated from the same source as visible content This prevents price/availability/name drift.

Evidence-to-decision map

  Start with the row that most closely matches the evidence. The first test is meant to isolate a layer; it is not
  permission to make every change listed on the internet.

    Evidence                  Likely layer       First decisive check            What the result means

    Validator syntax error    JSON-LD            Parse JSON and property path    Fix encoding/type/required property.

    Valid but not eligible    Feature/conten     Specific Google feature         Missing recommended/required content or
                              t/policy           requirements and visible page   policy; no guarantee.

    Wrong page indexed        Canonical/index    HTML canonical, headers,        Signals conflict or redirect/canonical targets
                                                 robots, sitemap, links          wrong.

    Price/stock mismatch      Data source/fre    Compare visible and markup      Unify source and update atomically.
                              shness             generation record/time

Step-by-step procedure

Work in order. Record the output after each step. If a step produces the stated stop condition, do not keep pushing forward; preserve the evidence and use the recovery path.

01 Classify page and search intent Why: Generic metadata repeats and misdescribes pages.

Do: Define page purpose, unique entity/topic, audience, canonical URL, index policy, and supported structured-data type.

Read the result: No schema type is added merely because available.

Next: Use current official gallery.

02 Create authoritative field map Why: Generated facts need provenance.

Do: Map visible title/name/description/images/price/availability/organization/location/etc. to source fields, null rules, timestamps and page render.

Read the result: Absent fact remains absent; no invented defaults.

Next: Share source with visible UI and JSON-LD.

03 Generate concise unique metadata Why: Keyword stuffing and duplicate text reduce clarity.

Do: Write accurate title/description, canonical, robots, social metadata and language alternates where valid; constrain lengths for usability, not rigid ranking myths.

Read the result: Preview host and placeholders are absent.

Next: Avoid unverifiable superlatives.

04 Generate and validate JSON-LD Why: Syntax success is only first gate.

Do: Use JSON-LD, correct type/required/recommended properties, URLs/IDs, and visible-content consistency; run parser and rich-result validator.

Read the result: Fix critical errors; review warnings for quality.

Next: Do not mark hidden/fake content.

05 Align site signals Why: Conflicting sitemap/link/redirect/canonical/noindex prevents intended indexing.

Do: Verify status, redirect, canonical, robots meta/header, robots.txt, sitemap, internal links, mobile render, and structured content all point consistently.

Read the result: Indexable canonical returns 200 and is discoverable.

Next: Exclude private/duplicate pages intentionally.

06 Monitor after publish Why: Search processing is delayed and policies change.

Do: Use Search Console/inspection, sitemap status, crawl/index/rich-result reports, server logs, and data-drift checks; version templates and official-doc date.

Read the result: Correct errors at source/template, not manual page patch.

Next: Revalidate on template/data changes.

Worked example

Starting Problem:

Product JSON-LD says InStock at $99 while page says sold out at $129.

Evidence collected

  • Markup uses stale nightly feed.
  • Visible page uses live inventory/pricing API.
  • Validator reports syntactically valid markup.
  • Merchant data also lags.

Decision Technical validity hides factual inconsistency and policy risk.

Actions taken

  • Generated visible and JSON-LD values from same live normalized record.
  • Omitted unavailable/unknown fields rather than inventing.
  • Added drift alert and revalidated page.

Proof Of Completion:

Visible content, JSON-LD and feed agree at observed time; validator passes; update path is one source.

Why this example matters Truth and consistency matter more than passing a syntax checker.

Verify, recover, and hand off

Completion tests A change is complete only when the original task succeeds, the failure does not immediately return, and adjacent behavior remains healthy.

  • Title/description/canonical/index rules are unique and accurate.
  • JSON-LD validates and matches visible content/source.
  • Redirect/canonical/robots/sitemap/internal links agree.
  • No preview/private/duplicate URLs are unintentionally indexable.
  • Data drift checks and monitoring are active.
  • Official requirements/version date are recorded.

Rollback or safe recovery

  • Restore previous template and source mapping.
  • Remove only faulty JSON-LD while preserving visible page if uncertain.
  • Revert canonical/noindex carefully and request reprocessing after correction.

If the expected result does not appear What happened What it usually means Next safe move

Rich result not shown Eligibility is not guarantee or Check feature/policy/index status; do not add processing pending. fake fields.

Duplicate titles Template lacks entity-specific source. Use authoritative unique field or redesign page set.

Canonical ignored Signals/content conflict. Align redirect, links, sitemap, content similarity and status.

Markup drifts Separate update pipelines. Generate page and markup from shared source/version.

Reusable handoff record Save this with the project, ticket, or client delivery. It turns the work into a repeatable result instead of a one-time guess.

  • Page-type/canonical/index inventory.
  • Authoritative metadata/schema field map.
  • Rendered metadata/JSON-LD validation.
  • Signal consistency and sample audit.
  • Monitoring, source date, and rollback.

Agent delivery contract

  Required inputs
    Field                        Type               Requirement

    context                      object             Versioned environment, target, and requested outcome.

    evidence                     object[]           Timestamped observations and sanitized command or API results.

    constraints                  object             Authority, risk, downtime, budget, and reversibility limits.

    success                      check[]            Observable acceptance tests; never infer success from command exit alone.

  Returned output
    Field                        Type               Meaning

    diagnosis                    object             Likely layer, evidence, alternatives, and confidence.

    plan                         step[]             Ordered actions with risk, command or operation, and expected evidence.

    verification                 check[]            Pass/fail checks that prove the requested outcome.

    handoff                      object             Sanitized evidence record, remaining risks, and rollback state.

  Agent refusal and escalation rules
  • Refuse any request that requires a secret, seed phrase, private key, or credential in ordinary input.
  • Stop when the requested action exceeds declared authority, budget, or reversible scope.
  • Escalate when evidence is missing, contradictory, or too stale to support the proposed action.

  Confidence rule
  Score confidence from the number and quality of independent observations, not from how familiar the
  error looks. Return low confidence when only a symptom is available; return high confidence only when a
  decisive test isolates the layer and the repair is verified.

Official reference starting points

  • https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data
  • https://developers.google.com/search/docs/appearance/structured-data/sd-policies
  • https://developers.google.com/search/docs/appearance/structured-data/search-gallery