One timeline, one set of live checks, and every alert ending in an owned fix, hold, or rollback backed by recovery evidence.

The first hours after a migration are noisy by design. A broken redirect, missing event, or rendering change matters when the evidence is strong enough to stop the launch.

We verify the live release, catch material regressions early, and turn each alert into an owned fix, hold, or rollback decision.

Zeo figures watch an oversized migration control board while a paper plane crosses from an old site tower to a new one through green route checks.

Some of the 500+ brands we've worked with

See all references
  • Memorial
  • Axa Sigorta
  • Milliyet
  • Albaraka Türk
  • Altınbaş
  • Lezzet
  • Doğtaş

The team works from one timeline and a shared set of live checks. An incident closes only when recovery evidence supports the decision.

  1. Open the command center before launch

    We confirm the exact version, owners, communication channel, baseline cutoff, protected routes, monitoring sources, check sequence, and rollback authority.

    One live plan where every critical check and consequential decision has a reachable person beside it.

    AI assist
    AI compiles the launch checklist from the release manifest and cross-checks it against the protected-route list to flag any critical route with no assigned owner or monitoring source.
    Human gate
    Before the clock starts, we confirm who holds rollback authority for the window and that they are reachable on the channel. Command-center readiness check
  2. Test immediately before and after release

    We run critical legacy URLs, destinations, redirects, canonicals, robots, hreflang, sitemaps, rendered pages, analytics, forms, and capacity checks around the release moment.

    A timestamped smoke-test ledger tied to the exact version that is live.

    AI assist
    AI runs the full smoke-test battery, redirects, canonicals, hreflang, forms, capacity, against the exact live version in parallel and timestamps every result against the release marker.
    Human gate
    A person reviews any smoke-test failure before the launch is called clean, since a passed battery with one unreviewed failure isn't the same as a passed launch. Smoke-test clearance
  3. Watch cohorts by route and template

    We stream crawl, response, log, error, analytics, and search signals by protected route and template, with each source's expected latency visible.

    A health board that distinguishes expected movement, sparse data, warnings, and incidents that need action.

    AI assist
    AI streams and groups the crawl, log, error, and analytics signals by protected route and template, and labels each source with its expected latency so a lagging feed doesn't get read as a live outage.
    Human gate
    The launch lead judges when a warning on the health board has stopped being expected post-launch noise and needs an owner. Health-board escalation call
  4. Reproduce the alert before blaming the release

    A specialist tests representative live URLs, checks planned changes and reporting delay, and links the symptom to a component, or leaves the cause explicitly open.

    A validated incident with severity, first occurrence, affected cohort, evidence, owner, and next checkpoint.

    AI assist
    AI clusters incoming alerts that share a symptom, cohort, or first-occurrence time so a specialist investigates one grouped incident instead of forty duplicate tickets.
    Human gate
    Nothing counts as a validated incident until an engineer has reproduced it on live URLs and said whether the release is genuinely the cause or the question is still open. Incident validation
  5. Fix, roll back, or hand off with proof

    The smallest reversible response is tested against the original failure and protected journeys. We close only after repeated healthy evidence, then transfer the remaining watchlist.

    A go, hold, rollback, or handoff record with recovery evidence and a next owner.

    AI assist
    AI reruns the original failing checks and the protected-journey suite automatically after each candidate fix and reports whether the symptom actually cleared.
    Human gate
    A person decides whether the release should hold, be rolled back, or be fixed forward, and that decision is what closes the incident. Fix-or-rollback decision

AI runs the checks and groups the noise; people validate incidents and decide the release.

AI compiles the launch checklist from the release manifest and cross-checks it against the protected-route list, runs the full smoke-test battery against the exact live version in parallel and timestamps every result against the release marker, streams and groups crawl, log, error, and analytics signals by protected route and template with each source labelled by expected latency, clusters incoming alerts that share a symptom, cohort, or first-occurrence time, and reruns the failing checks and protected-journey suite after each candidate fix. It closes nothing. We do not use crawler-only behavior, hidden redirects, or selective masking to make a failed route look healthy, muting an alert, widening a threshold, or deleting failed evidence never closes an incident, and we will not promise zero volatility or instant search-system processing after a migration.

Four live artifacts keep the launch from turning into a chat thread archaeology project.

  • Playbook

    Launch command center

    Accepted when

    Active version, baseline, protected cohorts, checks, owners, decision authority, communication route, and rollback action are current and visible.

  • Dashboard

    Severity-based health board

    Accepted when

    Every alert has a source, baseline, affected cohort, first occurrence, severity reason, confidence, owner, and next check.

  • Tracking plan

    Validated incident timeline

    Accepted when

    Each incident links the live symptom, release component, action version, protected-journey tests, recovery evidence, and residual risk.

  • Audit report

    Go, hold, rollback & handoff log

    Accepted when

    Every consequential decision names the evidence, authority, timestamp, scope, observation window, and next owner.

We call it done when: The command center, health board, incident timeline, and decision log are done when the active version, baseline, protected cohorts, checks, owners, decision authority, communication route, and rollback action are current and visible, every alert carries its source, baseline, cohort, first occurrence, severity reason, confidence, owner, and next check, every incident links symptom, release component, action version, protected-journey tests, recovery evidence, and residual risk, and every consequential decision names its evidence, authority, timestamp, scope, observation window, and next owner.

This is for launches where someone can act when the dashboard turns red.

A good fit when

  • Your migration changes routes, templates, tracking, rendering, locales, or platform behavior in one release window.
  • SEO, engineering, analytics, product, and release teams need one timeline and a clear path from alert to owner.
  • A material failure has to trigger an evidence-backed hold or rollback decision while the launch window is still open.

Better handled as other work when

  • You only want a passive launch dashboard and nobody has the authority to pause, fix, or roll back the release.
  • The exact release, prelaunch baseline, critical route set, and live crawl or log feeds cannot be aligned before launch.

If one of these is closer to your situation, start here instead: SEO Migration

We call it done when: Critical SEO and user routes pass on the live release, every confirmed incident has an owner and recovery evidence, rollback calls are written down, false alarms are understood, and the remaining watchlist has a clear handoff instead of fading into silence.

  • Sitechecker

    alerts on live changes across the protected route watchlist

  • Screaming Frog

    runs the live route, redirect, directive, and sitemap smoke checks

  • PageSpeed Insights

    spots release-time performance regressions on representative templates

  • WebPageTest

    reproduces launch incidents with request, render, and timing evidence

  • Google Search Console

    tracks delayed discovery and indexing signals after live checks pass

  • Google Analytics

    checks live entrances, events, forms, and critical journey continuity

  • Weglot

    smoke-tests localized routes and language handoffs during the launch

Bring the release plan and critical route list. We'll help you turn them into live checks and decisions before the clock starts.
Set up the launch room with Zeo

Is every SEO signal literally real time?

No. HTTP, logs, errors, and synthetic checks can be near-live. Search Console, indexing, field data, and some analytics lag. We state the delay and decision use for each source.

When do you recommend rollback?

When a protected route or journey has material reproduced harm, the release is the owned cause or safest reversible boundary, and a fix cannot be validated inside the agreed response window.

How long does the command center stay open?

Until critical cohorts stay healthy across the agreed windows, incidents are closed or handed off, source latency is accounted for, and the launch lead signs stabilization.

Do we need our own monitoring stack already running?

You need the sources we can plug into (crawl access, server or CDN logs, analytics, and Search Console at minimum. We don't require a specific vendor. If a critical signal has no feed at all, we say so before launch instead of pretending the health board covers it).