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AI retrieval & source stability monitoring

Something changed in your AI visibility. Would you know what moved?

The question this service answers

Are observable discovery sources and retrieval signals around this business stable, or changing in ways that could affect visibility?

Recurring monitoring of the observable discovery environment around your business, so a visibility shift does not become a mystery.

When this is useful

Is this the right question for you?

AI Retrieval & Source Stability Monitoring is a focused service. It answers one defined question rather than bundling in a broader program.

  • Your visibility has moved before and nobody could explain why.
  • A large share of your discovery appears to depend on sources you do not control.
  • Competitors are appearing and disappearing in answers where you used to be steady.
  • You have completed a dependency audit and want the environment watched from that point on.
  • You want early warning rather than a post-mortem.

Scope

Observable signals monitored each cycle

Only signals that can be observed from outside. Nothing here depends on private provider systems.

  • AI citation and source recurrence across captured answers.
  • Sources returned for a controlled set of prompts.
  • Search and index coverage, including crawl signals.
  • First-party citation and cited-page trends where that reporting is available to you.
  • Business-information drift across observed sources.
  • Recommendation behavior for the questions that matter commercially.
  • Competitor entry and removal in those answers.
  • High-dependency third-party pages changing, disappearing or becoming stale.

How findings are evaluated

Evidence first, then interpretation.

Each cycle closes with one status

  • Stable. The observed environment is consistent with the baseline.
  • Changed. Something observably moved in this cycle.
  • Drifting. Movement is continuing in one direction across cycles.
  • Material shift. The change is significant enough to affect discovery and deserves attention now.

The Goldeneye evidence standard

  • Observed. Something Goldeneye directly saw in a captured result, source or platform report.
  • Supported inference. A reasonable conclusion the observed evidence supports, stated as an inference rather than a fact.
  • Unknown. Something the available evidence cannot establish. Goldeneye reports it as unknown rather than filling the gap.

What you receive

What lands in your hands.

  • A recurring brief with the cycle status stated plainly.
  • What moved in the observable environment, and where.
  • Whether any high-dependency source changed, went stale or disappeared.
  • Observed evidence separated from supported inference and from what remains unknown.
  • A recommendation on what to watch, investigate or address next.

Important boundaries

  • Goldeneye is not monitoring a private provider retrieval pipeline. Monitoring works from observable evidence only.
  • No claim is made to hidden ranking or retrieval weights, and no such access exists.
  • Correlation is separated from causation. A change happening near another change is not proof that one caused the other.
  • Monitoring is not correction. Fixing what moved is separate work.

Pricing

What it costs.

A prior AI Source & Retrieval Dependency Audit, or an equivalent documented baseline, is strongly recommended. Without a baseline there is nothing to measure stability against.

Monthly
$595/month
Quarterly
$1,500/quarter
Baseline
Dependency audit or equivalentStrongly recommended before monitoring begins.

Add a 45-minute Strategy Mode findings review for $225 when you want help deciding what to ignore, watch, investigate or address next. Strategy Mode is an optional add-on to a completed service, never a standalone product.

Watch for changes around your AI visibility.

Tell us about the business and we will confirm what should be monitored against a baseline.