Recommendation Authority Engine

AI Has a Hierarchy.
We Help You Earn Authority Inside It.

Salienci measures and improves how your brand is accessed, extracted, and selected by AI answer engines - before competitors become the default recommendation.

The Salienci Score
A 0–100 benchmark of how likely AI systems are to understand, trust, and recommend your brand.
diagnostic interface · preview
salienci · authority engine
live · v2.4
Authority Score
74
/ 100
Δ +6 last 30d · category: SaaS · region: NA
Layer Diagnostics
Access LayerOpen
Extraction LayerPartial
Selection LayerAt Risk
Citation VelocityRising
Competitor DriftDetected
AI Crawl ReadinessVerified
Recommendation Gap18%
K-Matrix
access · extract · select · proof6×4
Citation Velocity
30d+14 cites/wk
Selection Probability
61%
vs. category leader−18%
Why Change

Search visibility is no longer enough. AI systems now decide who gets recommended.

Traditional rankings show where you appear. AI recommendation systems decide whether you are selected. If your brand is not accessible, extractable, and trusted by AI systems, you may lose visibility even when your SEO looks stable.

Legacy2003 - 2023

Old Search Layer

  • Rankings
  • Keywords
  • Blue links
  • Traffic reports
Current2024 - now

AI Recommendation Layer

  • Entities
  • Citations
  • Answer extraction
  • Selection probability
  • Authority signals
The Three Layers

Recommendation Authority is built across three layers.

01 · Accesscrawl · retrieve

Can AI systems crawl, understand, and retrieve your brand?

crawler access200 OK
robots.txtallowed
llms.txtpresent
brand-facts.jsonvalid
schemaorg+product
sitemap98% indexed
02 · Extractionparse · structure

Can AI systems extract clear answers, facts, and proof?

answer-ready content86
structured headings74
FAQ blocks41
entity clarity58
schema alignment92
sourceable facts33
03 · Selection

Do AI systems trust your brand enough to recommend it?

Selection is the final layer. It compounds when authority signals align, and decays when competitors compound faster.

S01
Citation authority
S02
Third-party proof
S03
Review signals
S04
Category relevance
S05
Expertise signals
S06
Competitor comparison
AEO+ · the full selection stack

Access is not understanding. Understanding is not selection.

Most AI visibility solutions measure one layer and call it visibility. AEO+ connects the full path from access to extraction to selection.

01 · GEOaccess

Can AI systems reach and correctly process your content?

The infrastructure layer. Crawlability, retrieval, structured signals, and technical access determine whether your brand enters the system at all.

crawler access200
sitemapdetected
schemavalid
entity endpointreachable
02 · AEOextraction

Can AI systems extract a clear, structured, citable answer?

The understanding layer. Clear entities, structured facts, answer-ready content, and citation-worthy proof determine what AI can extract.

entity clear88
answer extractable72
structured facts64
citation surface49
03 · EVSselection

When multiple brands qualify, does the AI choose yours?

The decision layer. Authority, proof, category relevance, and comparative strength determine which qualified brand gets selected.

selection prob.
0.62
authority
Rising
competitor gap
−18%
citation velocity
+14/wk
K-Matrix Diagnostic Engine

The K-Matrix shows where your AI authority is compounding or collapsing.

Salienci evaluates the signals that shape AI recommendation outcomes - access, extraction, entity strength, citation velocity, content depth, proof, and competitor authority movement.

K-Matrix · live6 rows × 4 columns
SignalStrengthRiskOpportunityPriority
AccessStrongLowMaintainP3
ExtractionPartialMediumHighP1
SelectionWeakHighHighP0
ProofPartialMediumHighP1
VelocityRisingLowCompoundingP2
Competitor GapFallingHighCriticalP0
Predictive Signal

Citation Velocity

The signal that predicts where your AI selection position may move over the next six months.

+14/wk
trailing 30d
Diagnostic Coverage
signals
142
engines
7
queries
3.2k
refresh
24h
Website Authority Readiness

Before a brand can win AI recommendations, its website must be authority-ready.

Composite Score
74
/ 100
Website Authority Readiness

A site below 70 is not ready to compete in the AI recommendation layer.

Premium Trust
82
Clarity
76
Conversion
69
AI / SEO Readiness
61
Performance
91
Maintainability
74
Why Now

AI selection position cannot be maintained. It either compounds or decays.

In traditional search, rankings can often be maintained. In AI answer engines, authority is comparative and dynamic.

If competitors are building citation velocity, structured proof, and answer-ready content while your brand stays flat, your relative position is falling.

Operating Principle
Flat is not neutral. Flat becomes decline when the category moves.
Selection Probability · 12mo
Brand ABrand BBrand C
M1M6M12
PROOF · measured movement

Authority should move. The evidence should show it.

Platform Benchmark · n = 2,847

The platform benchmark tracks measurable movement across recommendation readiness, authority grade, and citation velocity.

Authority Score90-day movement
42
78
/ 100
day 0+36 ptsday 90
Authority Grade
F
B
measured improvement
Citation Velocity
+14/wk
weekly gain
Benchmark Sample
n = 2,847
Aggregate movement across the Salienci platform dataset. Case-level results vary by category and starting baseline.
View Results
Salienci Authority Audit

Request a diagnostic view of your AI recommendation position.

audit preview · acme.com
report · 24 pages
AI Crawler AccessVerified
Entity & SchemaPartial
Answer ExtractionWeak
Citation VelocityRising
Competitor Gap−18%
Readiness Score74 / 100
Priority Roadmap14 items
RecommendationTier 1
Free Diagnostic

Authority Audit Request

A signal-by-signal review delivered as a private dashboard. Two business days.

no spam · enterprise reviewed
Why Us

Salienci is built for the new recommendation layer.

Salienci combines AI visibility diagnostics, website authority readiness, content extraction systems, and selection-focused strategy into one operating framework. This is not traditional SEO reporting. This is Recommendation Authority engineering.

01

Diagnostic Framework

The K-Matrix mapped to access, extraction, selection, proof, and velocity.

02
llms.txt 200
schema.org valid
entities linked

AI-Readable Infrastructure

llms.txt, brand-facts.json, structured schema, entity graph alignment.

03

Authority Content System

Answer-ready content engineered for extraction and citation, not for clicks.

04

Selection Improvement Roadmap

Prioritized signals ranked by impact on recommendation probability.

Who This Is For

Built for brands that cannot afford to become invisible in AI answers.

Six categories where AI recommendation position now determines pipeline. Each surface shows the diagnostic pattern Salienci sees most often in that vertical.

01 · Medical & Healthcare

The provider vanishes before the visit.

Patients increasingly ask AI who to trust, where to go, and which provider is best. Entity inconsistency, weak location signals, unclear expertise, or missing proof can remove the provider before the patient ever visits a search result.

query
“best cardiologist near me”
trust queryweak
entity conflictdetected
provider omitted3 / 5 engines
02 · Legal

Only a few names come back. Is yours one of them?

When someone asks for the best attorney in a practice area and city, only a few names come back. The question is whether yours is one of them.

selected · 3 of 12 qualified
local selectioncontested
expertise signalpartial
recommendation gap−22%
03 · Home Services

Local rank stable. AI selection falling.

A company may still rank locally while AI assistants repeatedly recommend the same competitors for “best,” “trusted,” and “who should I hire” questions.

competitor repeated4× / 5 engines
04 · Agencies & Rank-and-Rent

Pages rank. The operator behind them doesn't.

AI systems may see pages and rankings but still fail to verify the operator, brand, expertise, and authority behind the asset.

entityunclear
operatorunverified
authorityfragmented
05 · Enterprise SaaS

The category is explained in someone else's language.

A company may rank for category terms while AI systems continue to explain the market through an incumbent's language and recommend the incumbent by default.

default recommendation
incumbent.com
72%
yourbrand.com
11%
06 · Multi-Location Brands

Fragmented signals. Fragmented understanding.

Inconsistent locations, entities, service facts, reviews, and proof can fragment the signals AI uses to understand the overall brand.

location consistency · 24 sites
entity fragmentationmedium
signal inconsistencyhigh
SALIENCI SCORE · request

See where your brand stands.

Submit your domain for a diagnostic review across the Salienci framework.

Reviewed across GEO · AEO · EVS layers
Delivered within 24 hours
No account required
Diagnostic Requestform · secure

Get a Salienci Score

Reviewed across the Salienci diagnostic framework · Delivered within 24 hours · No account required

Reframe

Still running traditional SEO? That's the right starting point - and it's not enough anymore.

SEO can make a brand visible. Recommendation Authority determines whether AI systems understand it, trust it, cite it, and choose it.

The goal is not to replace search. The goal is to stop measuring visibility as though selection does not exist.

SEO
rankings
keywords
blue links
visibility
Recommendation Authority
entities
extraction
citations
selection
complementary layers · both required
Begin Diagnostic

Find out where your brand stands before AI systems decide for you.

Request a Salienci Authority Audit and see how your brand performs across access, extraction, selection, and authority readiness.

Score
74
Signals
Competitor Gap
−18%
Status
Audit Open
FAQ

Common questions.

Short, direct answers about Recommendation Authority and Salienci.

What is Recommendation Authority?+

Recommendation Authority is the strength of your brand's ability to be accessed, understood, trusted, and selected by AI answer engines.

What does the Salienci Score mean?+

Scores below 60 indicate material recommendation risk. Scores above 80 indicate the compounding zone. The score shows the outcome of the diagnostic, not the proprietary calculation behind it.

How is AI visibility different from SEO?+

SEO focuses on rankings and traffic. AI visibility focuses on whether answer engines extract and recommend your brand when users ask decision-based questions.

What does Salienci measure?+

Salienci reviews access, extraction, selection, citation velocity, competitor gaps, content structure, website readiness, and authority signals.

What is the K-Matrix?+

The K-Matrix is Salienci's diagnostic framework for identifying where a brand is gaining or losing authority inside AI recommendation systems.

Who should request an Authority Audit?+

Brands should request an audit if they rely on search visibility, expert positioning, category authority, or high-intent discovery through AI answer engines.