DIGI CONVO
Part of the AI Visibility Methodology
LLLM SEO

The AI Visibility Funnel:
How AI Engines Choose Sources.

AI engines do not simply rank content. They retrieve, filter, trust, and select sources before generating answers.

Most fintech companies disappear before the selection stage. The issue is usually not traffic. It is failure somewhere inside the AI visibility funnel.

The AI Visibility Funnel

01Retrieved
02Filtered
03Trusted
04Selected

Most companies fail at the filter.

The Framework

Explore the AI Visibility Methodology.

4 connected framework pages

01→

Overview

The full AI visibility framework: SEO, AEO, GEO, and how AI engines evaluate vendors.

02→

AEO vs GEO

The difference between extractability and selection inside AI-generated answers.

03→

Page Architecture

The six content structures AI engines most frequently cite and reuse.

04Current Page

Visibility Funnel

How AI engines retrieve, filter, trust, and select sources.

SThe Short Version

The short version.

LLM SEO is the process of improving how AI engines retrieve, evaluate, trust, and select your company when generating answers.

AI systems move through four stages: retrieved, filtered, trusted, selected.

Most companies

focus only on retrieval

Most losses

happen at filtering & trust

FThe Framework

Why DIGI CONVO calls this
"LLM SEO."

Traditional SEO was built around rankings and clicks.

LLM SEO focuses on how large language models:

  • Retrieve information
  • Evaluate sources
  • Compare vendors
  • Assemble answers
  • Generate recommendations

WAS

"How do we rank?"

NOW

"How do we get selected?"

Comparison

Traditional SEO

  • Rankings
  • Clicks
  • Traffic
  • SERPs

LLM SEO

  • Retrieval
  • Filtering
  • Trust
  • Selection

AI visibility is a selection system, not just a ranking system.

VThe Visibility Funnel

How AI engines choose sources.

Many Retrieved → Few Selected

01

Retrieved

The AI engine finds your content through indexed pages, entity associations, supporting citations, and topical relevance.

Core Question

"Does the model know you exist?"

Signals

  • Indexed pages
  • Entity clarity
  • Topical relevance
  • Crawlability
  • Supporting mentions

Failure Mode

The AI engine never retrieves your company at all.

⚠ MOST COMMON FAILURE POINT
02

Filtered

The AI engine removes content that is vague, poorly structured, weakly supported, or difficult to extract.

Core Question

"Does the content survive elimination?"

Signals

  • Direct-answer formatting
  • Structured comparisons
  • Concise sections
  • Extractable answers
  • Citation-ready formatting

Failure Mode

The content exists but gets discarded.

03

Trusted

The AI engine evaluates whether your company appears authoritative, consistent, and reliable enough to support generated answers.

Core Question

"Can the model trust this source?"

Signals

  • Comparison architecture
  • Trusted references
  • Entity consistency
  • Documentation quality
  • Supporting authority

Failure Mode

The AI engine extracts information but does not trust the source enough to use it.

04

Selected

The AI engine includes your company inside the generated answer, recommendation set, or shortlist.

Core Question

"Will the model choose this company?"

Signals

  • Category relevance
  • Comparison inclusion
  • Evaluation-stage authority
  • Consistent visibility
  • Trust accumulation

Failure Mode

Competitors are selected instead.

Selection is where AI visibility becomes pipeline influence.

PPerplexity SEO

How to rank in Perplexity.

Perplexity heavily favors:

  • Direct-answer formatting
  • Comparison content
  • Extractable sections
  • Trusted references
  • Concise structured explanations

The companies most visible in Perplexity are usually easy to cite, easy to compare, and easy to extract.

HOW TO

Improve visibility in Perplexity

1Publish comparison pages
2Use concise direct-answer formatting
3Strengthen internal linking
4Improve entity consistency
5Structure FAQ sections clearly
6Publish evaluation-stage content
Perplexity visibility is usually an extraction and architecture problem before it is a domain authority problem.
Pair this with

AEO vs GEO: The Real Difference

Why extractability gets you eligible and selection gets you cited.

Continue Reading →
XCommon Failure Patterns

Where fintech companies
usually fall out.

×Strong products with weak comparison architecture
×No evaluation-stage content
×Vague positioning
×Missing category pages
×Weak entity consistency
×No extractable answer structures
×Blog-heavy content strategy
×SEO focused only on traffic

Most fintech companies are not invisible because their products are weak.

They are invisible because their architecture is weak.

QFrequently Asked

Questions about LLM SEO.

LLM SEO is the process of improving how large language models retrieve, evaluate, trust, and select your company when generating answers.

Find out which stage
you're falling out at.

The Pre-Call Audit identifies whether your visibility problem is retrieval, filtering, trust, selection, or all four.

✓4-engine sweep
✓Visibility funnel analysis
✓Competitor comparison review
✓Extraction failure analysis
✓AI selection gap mapping