Request a diagnostic of your AI recommendation position.
A signal-by-signal review delivered as a private dashboard. No SEO templates, no generic reports.
What is a Salienci Authority Audit?
A Salienci Authority Audit is a signal-by-signal diagnostic of how AI systems currently access, understand, and evaluate a brand, scored against the AEO+ framework and the K-Matrix. It is delivered as a private dashboard rather than a generic PDF template. A Salienci specialist reviews each submission and follows up by email.
What you receive
Every audit returns AEO+ scoring, a K-Matrix priority roadmap, competitor comparison, and a sequenced implementation plan - the same structure described in how a Salienci engagement works.
- AEO+ scoring across all four layers
- K-Matrix priority roadmap (P0 → P3)
- Competitor delta against category leaders
- Citation velocity trend with 90-day projection
- 30/60/90 day implementation sequencing
Authority Audit Request
Tell us where to look. Your submission is received immediately and a Salienci specialist reviews it and follows up by email.
Who is the audit for?
The audit is built for marketing and executive teams who need to know where their brand stands in AI-generated answers before committing budget to remediation. It suits brands already investing in SEO or AEO terminology who need a measurable baseline rather than another opinion-based report. Methodology detail is available in the Salienci Score methodology.
What does an Authority Audit evaluate?
The audit evaluates three measurable things: whether AI systems can reach and identify your brand, whether they can extract a citable answer from your content, and whether the wider ecosystem corroborates that answer strongly enough for you to be selected.
Access
Crawler and agent reachability, rendering behaviour, machine-readable identity, and whether AI systems can retrieve your pages at all.
Extraction
Whether answers are structured so an engine can lift a citable passage without rewriting or guessing.
Selection
Whether entity, corroboration, and citation signals are strong enough for an engine to name you rather than a competitor.
Comparison
How your measured position sits against the category set you nominate on the request form.
How this is measured: Salienci Score methodology · AEO+ framework · K-Matrix prioritisation
How the assessment runs
An audit moves through four stages: intake of the domain and category, automated technical and entity checks, a structured probe run against answer engines, and analyst review before anything is reported to you.
01 · Intake
You submit the domain, work email, and up to two competitors. Nothing else is required and no call is needed to start.
02 · Technical and entity checks
Automated checks establish crawler access, rendering, structured identity, and answer extractability.
03 · Probe run
Category questions are put to answer engines and the responses are recorded, including who is named and which sources are cited.
04 · Analyst review
A Salienci specialist reviews the machine output, removes unstable observations, and sequences the findings before delivery.
What the audit returns
The audit returns four deliverable categories: a scored readiness position, a prioritised gap list, a category comparison, and a sequenced remediation plan. The presentation format is a private diagnostic dashboard; page counts and file formats are confirmed with you rather than promised in advance.
Scored position
Your Salienci Score with the Access, Extraction, and Selection layers reported separately.
Prioritised gaps
Findings ranked by expected effect on recommendation position, not by ease of implementation.
Category comparison
How your measured position compares with the competitors you nominate, with coverage stated.
Remediation sequence
The order in which fixes should be attempted, so effort is not spent on signals that cannot move yet.
How findings are prioritised
Findings are prioritised by the K-Matrix: each gap is weighted by how much it constrains selection, how dependent later fixes are on it, and how reliably the underlying signal was measured. Blocking access issues always rank above content refinement, because an engine that cannot reach a page cannot cite it.
Boundaries and limitations of an audit
An audit is a sampled measurement of systems that are non-deterministic and change without notice. It tells you where your recommendation position stands and what constrains it; it does not guarantee a ranking, a citation, or a commercial outcome.
- Answer engines return different responses to the same question over time, so every reported figure is a sample, not a fixed rank.
- Coverage is limited to publicly observable surfaces. Private, logged-in, or personalised AI experiences are not measured.
- Findings describe measured constraints. Implementation, publishing cadence, and third-party sources remain outside Salienci's control.
- No audit predicts revenue. Recommendation position and commercial outcome are related but are not the same measurement.
Authority Audit questions
The questions below cover what teams ask most often before requesting an audit.
Does an audit cost anything?
The Authority Audit is offered as a diagnostic entry point to a Salienci engagement. Scope beyond the diagnostic is agreed separately - see the engagement models.
Do I need a call to receive it?
No. You submit the form, a Salienci specialist reviews the request, and follow-up happens by email.
What do you need from me?
A domain, a work email, and optionally up to two competitors. No analytics access or account credentials are required for the diagnostic.
Is my data shared?
Submitted details are used only to prepare and discuss your audit. They are not sold or shared - see the privacy policy.
Request your Authority Audit.
Submit the form above and a Salienci strategist reviews your domain against the Access, Extraction, and Selection layers. You receive a private diagnostic dashboard once that review is complete. Your details are used only to prepare and discuss that audit.
Continue reading
These pages give the next layer of detail behind what you have just read.
Published · Last reviewed