Find the reason the machinedoes not choose you.
Not client data.
A ranking is not a recommendation.
A company can rank for a category and still disappear when a buyer asks a machine who to choose. It can publish frequently and remain hard to retrieve. It can have a polished site and still leave crawlers, language models, and third-party sources without enough evidence to identify it with confidence.
The audit separates those failures. It does not begin with a list of generic SEO checks. It begins with the questions your buyers ask, the evidence an answer system can reach, and the reasons it may choose another source instead.
Every answer has to clear three gates.
Before a machine can cite a brand, it has to reach the source, read the relevant passage, and find sufficient reason to trust it. The gates are sequential.
| Gate | Question | Inspection focus |
|---|---|---|
| REACH | Can the machine reach the page at all? | Crawl access, render path, response integrity, canonicals, and entity signals |
| READ | Can it identify a useful answer inside the page? | Answer-first structure, semantic chunks, page hierarchy, evidence, and machine-readable context |
| CITE | Does it have reason to choose this source? | Third-party corroboration, source quality, entity consistency, and competitive source presence |
Six workstreams. One decision sequence.
The report is designed to leave management with an evidence-backed operating picture, not a list of disconnected observations. Each finding is tied to a visibility consequence, an owner type, and the order in which action should occur.
The questions your buyer asks, the surfaces that answer them, and the baseline from which progress can be measured.
- AIGNCI inspects
- The buyer questions that define category discovery, comparison, objections, and purchase intent.
- Report output
- Prompt inventory, answer-engine baseline, and competitor share-of-answer picture.
The diagnostic starts where the buyer starts.
Keyword tools record what people typed into a search box. The audit also examines the fuller questions buyers ask answer engines: the category, the constraint, the comparison, the hesitation, and the decision. That prompt space is then connected to the pages, entities, and third-party sources that support the answer.
The result is not a promise that a machine will produce a particular answer. It is a clear record of the conditions that make a credible answer more or less likely: access, clarity, evidence, and consensus.
A baseline, a priority sequence, and a practical way forward.
The completed AEO, GEO & Citation Audit Report provides the baseline. It documents what is visible, what is missing, and where a brand’s present story breaks between its owned site and the sources machines rely on.
A separate AIGNCI Engagement Proposal Companion translates relevant findings into implementation choices. It identifies which opportunities can be addressed through technical remediation, AEO-native content, entity and citation work, media and earned coverage, or ongoing measurement. The report remains the diagnostic record; the companion makes the investment decision explicit.
- Executive readout
- Evidence record
- Gate-by-gate diagnostic
- Competitor and source picture
- Ordered action register
- Recommended workstreams
- Dependencies and sequencing
- Engagement options
- Measurement cadence
For teams that need a defensible visibility baseline before they commit budget.
The report is suited to organizations facing a change in category visibility, a flat or unclear organic picture, a new market narrative, a replatforming decision, an acquisition or portfolio operating question, or a material gap between the company’s own claims and the sources buyers encounter independently.
It is especially useful when the question is not simply “How do we rank?” but “Why are we absent, misdescribed, or unsupported when a buyer asks for a recommendation?”
Request the audit.
Send the company domain and the decision context. AIGNCI will use that context to determine whether an AEO, GEO & Citation Audit Report is the appropriate starting point.
Machines do not need more content. They need a reason to choose yours.
The audit identifies the missing reason—and the order in which to build it.
Request the audit