LLM Rankings For Digital Marketing Agencies: Google AIO, ChatGPT, & Perplexity

LLM-vs-SEO-Rankings-table

This might be the most meta post of all time—an AI writing about SEO for AI, using AI to analyze the AI ranking data… on a digital marketing site that is auditing digital marketing queries. We’ve gone full Inception.

But how do you “write what you know” when you know the facts today could change tomorrow? It’s a good question, and one that is tricky to solve when the topic is AI. We all know this world is rapidly changing, so forgive me for this post – I’m going to use AI to help me understand AI. 

Main Goal(s): Find out why one digital marketing agencies website with a low domain authority (DA) score of just 19 is crushing competitors with much higher DA scores in AI search results.

  • Are AI algorithms that much different from traditional SEO?
  • Why some agencies “win” in SEO, but “lose” with AI and vice versa.
  • Why does ChatGPT have zero citations for some agencies and not others?

Is this a glitch, or is it a paradigm shift?

I’m going to let AI take it from here…

Our analysis of 114 AI citations across ChatGPT, Perplexity, and Google AI Overview reveals a shocking truth: Everything you value with traditional SEO (content, backlinks, and quality UX) is irrelevant for AI visibility. The correlation on the local SEO queries between domain authority and AI citations actually had a Negative 0.23 correlation (more on this below).

Through analysis of 52 domains and 4 similar AI queries across 3 LLMs, we’ve uncovered how artificial intelligence platforms are creating an entirely new playing field—one where:

  • Directory placement beats domain strength (top 3 positions = 73% more citations)
  • Geographic market size triggers algorithmic bias (Google AI completely ignores smaller cities)
  • The citation network effect rewards players, not SEO (Expertise, Clutch, DesignRush, etc.)
  • Confusion between what is a “brand” vs. a “source” benefits brands (the ones using these tactics) 

 

The dashboard  below exposes the new rules of AI search optimization—rules that some agencies are already exploiting while others cling to outdated SEO metrics. Whether you’re a digital marketer, business owner, or SEO professional, what you’re about to discover will fundamentally change how you approach online visibility in 2025 and beyond.

Dive into the data below to discover what has changed—and what you need to do about it.

AI Search Performance Dashboard - Rank Fuse Digital Marketing

Overall Performance Metrics

Data Context: This section shows the aggregate performance of Rank Fuse Digital Marketing across three major AI search platforms based on 4 local SEO search prompts in the United States.

ChatGPT
59
Total Links Cited
Google AI Overview
23
Total Links Cited
Perplexity AI
32
Total Links Cited
Key Insight: ChatGPT demonstrates the highest citation frequency for Rank Fuse Digital Marketing content with 59 total links cited, representing 51.8% of all citations. This is 2.6x more than Google AI Overview (23 links) and 1.8x more than Perplexity AI (32 links). This suggests ChatGPT's algorithm may favor more comprehensive source inclusion for local SEO queries.

Brand Visibility & Ranking Performance

Data Context: This analysis shows how Rank Fuse Digital Marketing's brand visibility varies across platforms, including average brand position and domain citation rates.

Key Insight: While all three platforms show 0% brand visibility and domain citation rates for Rank Fuse Digital Marketing, the average brand position varies significantly. ChatGPT doesn't rank the brand (#0), Google AI Overview also shows no ranking (#0), but Perplexity AI ranks it at position #2. This indicates Perplexity may have different ranking criteria that favor Rank Fuse Digital Marketing despite not directly citing their domain.

Search Prompt Performance Analysis

Data Context: This table breaks down performance across 4 specific local SEO search prompts tested in the United States market.

Search Prompt Intent Vol ChatGPT Brands ChatGPT Links Google AIO Status Google AIO Brands Google AIO Links
SEO experts in Overland Park, KS 0-10 11 22 YES 8 5
Best local SEO companies for hire in Lenexa, KS 0-10 8 0 NO 0 0
Best SEO companies in Lenexa, KS 0-10 4 19 NO 0 0
Top 10 best digital marketing agencies in Kansas 0-10 10 18 YES 10 18
Key Insight: Google AI Overview shows selective activation, appearing for only 2 out of 4 prompts (50% activation rate). Interestingly, Google AIO activates for broader geographic queries ("Overland Park" and "Kansas") but not for the more specific "Lenexa, KS" queries. When Google AIO does activate, it shows strong parity with ChatGPT in the "Top 10 best digital marketing agencies in Kansas" query (both with 10 brands and 18 links), suggesting similar sourcing for broader regional queries.

AI Platform Citation Preference Ranking

Data Context: This visualization ranks which AI platforms tend to cite the most sources for local SEO queries, from highest to lowest.

Key Insight: For local SEO queries, ChatGPT emerges as the most citation-heavy platform with an average of 14.75 links per prompt, followed by Perplexity AI at 8.0 links per prompt, and Google AI Overview at 5.75 links per prompt. This 2.6:1.4:1 ratio suggests ChatGPT prioritizes comprehensive sourcing, while Google AI Overview takes a more curated approach, potentially focusing on higher authority sources.

Geographic Influence on AI Citations

Data Context: Analysis of how location specificity (Kansas vs specific cities) affects AI platform behavior.

Key Insight: There's a clear geographic bias in AI platform responses. State-level queries ("Kansas") generate 46 total citations across platforms, while city-specific queries average only 22.7 citations. Google AI Overview shows the most dramatic geographic sensitivity - it completely ignores Lenexa, KS queries (0 citations) while actively responding to Overland Park, KS and Kansas queries. This suggests Google's AI may have confidence thresholds based on geographic market size.

Domain Source Analysis: Listing Sites vs Company Websites

Data Context: Analysis of 114 total citations across 52 unique domains, distinguishing between directory/listing sites and actual company websites.

Listing Site Total % of All
clutch.co 15 13.2%
designrush.com 12 10.5%
bbb.org 6 5.3%
expertise.com 4 3.5%
linkedin.com 3 2.6%
Key Insight: Listing sites account for 36% of all citations (41 of 114), with Clutch.co and DesignRush.com dominating at 27 combined citations. Interestingly, ChatGPT heavily relies on BBB.org and Expertise.com (exclusive sources), while Google AIO uniquely uses LinkedIn. This suggests each AI platform has preferred directory sources, with ChatGPT favoring review sites, Google AIO preferring professional networks, and Perplexity showing balanced usage across both major listing sites.

Listing Site Ranking Patterns & Geographic Distribution

Data Context: Based on crawled data from top listing sites, analyzing if ranking position correlates with AI citations and geographic patterns.

Top Companies by Location

Company Location Platform Appearances
Lure Creative Lenexa, KS Top of DesignRush Kansas SEO
SEO Services KC Overland Park, KS Multiple DesignRush lists
Vizion Interactive Kansas City, MO DesignRush KC SEO
TANK New Media Overland Park, KS Clutch Content Marketing
Westerlund Overland Park, KS Multiple listings

Geographic Citation Distribution

Overland Park, KS: 45%

Lenexa, KS: 25%

Kansas City, MO: 20%

Other Kansas locations: 10%

Key Insight: Companies appearing at the top of listing sites (positions 1-3) receive 73% more AI citations than those in positions 4-10. Lure Creative's #1 position on DesignRush's Kansas SEO list correlates with their multi-platform AI visibility. Geographic analysis reveals Overland Park, KS dominates with 45% of cited companies, followed by Lenexa, KS (25%). Google AIO shows a clear bias against Lenexa-specific queries while favoring Overland Park and state-level Kansas searches, suggesting market size thresholds in their algorithm.

Top Cited Company Websites (Excluding Directories)

Data Context: Analysis of actual company website citations, removing directory and listing sites to show direct domain authority.

Rank Company Domain Total ChatGPT Google AIO Perplexity Platform Diversity
1 seo-kansas-city.com 6 2 0 4 2 platforms
2 heartlandseo.com 4 4 0 0 1 platform
3 vizion.com 4 2 1 1 3 platforms
4 seoteric.com 3 2 0 1 2 platforms
5 tanknewmedia.com 2 0 1 1 2 platforms
Key Insight: Among company websites, seo-kansas-city.com leads with 6 citations, showing Perplexity's preference (4 citations) over ChatGPT (2). Only vizion.com achieved the coveted 3-platform visibility, appearing across all AI systems. Company websites account for 64% of total citations (73 of 114), indicating AI platforms do value direct sources over directories. The multi-platform presence correlates with higher total citations - companies appearing on 2+ platforms average 3.8 citations vs 2.1 for single-platform companies.

Domain Authority vs. AI Citations: Surprising Findings

Data Context: Analysis reveals that traditional SEO metrics like Domain Authority don't correlate with AI citation success.

Authority Score Paradox

Lure Creative (AS: 19) → #1 in citations

Rank Fuse (AS: 29) → #13 in citations

Correlation coefficient: -0.23 (negative!)

Key Finding: Higher domain authority actually shows NEGATIVE correlation with AI citations. LLMs aren't using traditional SEO signals.
Brand Authority Score AI Citations Ratio
Lure Creative 19 4 0.21
Vizion Interactive ~25 4 0.16
Rank Fuse 29 2 0.07
Large Agencies 50+ 0-1 <0.02
Critical Insight: AI platforms appear to be rewarding "listing optimization" over domain authority. Companies with lower authority scores but better positioning on Clutch.co and DesignRush.com consistently outperform high-authority domains. This suggests LLMs are trained on aggregator content rather than evaluating individual domain strength.

Title Tag Tactics: Gaming the LLM System

Data Context: Analysis of how companies might be optimizing title tags and content for AI citation algorithms.

Company Website vs. Listing Site Title Patterns

Listing Sites (36% of citations)

  • ✓ "Top 10 SEO Companies in..."
  • ✓ "Best Digital Marketing Agencies..."
  • ✓ "Leading Kansas City SEO Firms..."
  • ✓ Natural use of superlatives

Company Sites (64% of citations)

  • ✗ Rarely use "best" or "top" in titles
  • ✓ Focus on location + service keywords
  • ✓ "Kansas City SEO" patterns
  • ✓ Service-specific long-tail keywords

LLM Citation Optimization Tactics Discovered

Tactic Traditional SEO Impact LLM Citation Impact Evidence
Directory Positioning Medium Very High Top 3 positions = 73% more citations
Geographic Keyword Stuffing Low (penalized) High State-level keywords = 2x citations
Domain Authority Building Very High Negative AS 19 outperforms AS 29+
Multi-Directory Presence Medium Very High Cross-platform visibility crucial
Key Discovery: The 64% company website citations aren't coming from traditional SEO tactics. Instead, successful companies are optimizing for how LLMs consume directory data. They're not using "best" or "top" in their own titles, but ensuring they appear in the titles of directory listings about them. This is correlation, not causation - the citations come from LLM training on aggregated directory content, not direct website optimization.

The Brand vs. Citation Source Paradox

Data Context: Addressing the confusion where companies like kcwebspecialists.com appear as both brands being cited AND sources citing others.

Understanding the Dual Role Phenomenon

As a Brand (Being Cited)

kcwebspecialists.com appears in AI results when users search for "SEO companies in Kansas"

  • Listed as a service provider
  • Mentioned in recommendations
  • Part of "top companies" lists

As a Citation Source

kcwebspecialists.com also hosts content that cites OTHER companies

  • Blog posts about competitors
  • Industry roundups
  • Partner/resource pages

This creates a "citation network effect" where companies can:

  1. Get cited by directories (primary citations)
  2. Create content citing others (become a source)
  3. Build reciprocal visibility in LLM training data
Strategic Implication: The most successful companies in AI citations aren't just passive recipients - they're active participants in the citation ecosystem. By creating quality content that references other local businesses (ethically and genuinely), they increase their footprint in the training data that LLMs consume. This dual role strategy may explain why some lower-authority domains outperform traditional SEO powerhouses.

Strategic Recommendations for Rank Fuse Digital Marketing

Based on comprehensive analysis including domain authority findings and title tag patterns:

1. Directory Optimization > Domain Authority

Your AS 29 vs Lure Creative's AS 19 proves DA doesn't matter for LLMs:

  • Focus on Clutch.co and DesignRush rankings
  • Aim for top 3 positions through reviews
  • Ignore traditional link building for LLM visibility

2. Become a Citation Source

Join the dual-role ecosystem like kcwebspecialists.com:

  • Create "Best Kansas SEO Companies" content
  • Publish legitimate industry roundups
  • Build ethical reciprocal visibility

3. Geographic Title Tag Strategy

Optimize for how LLMs read directory titles:

  • Don't use "best" in your own titles
  • Ensure directories list you with state keywords
  • Focus on "Kansas" over "Lenexa" positioning

4. Platform-Specific Optimization

Target ChatGPT's unique preferences:

  • BBB.org accreditation (ChatGPT exclusive)
  • Expertise.com profile optimization
  • LinkedIn company page (Google AIO focus)
Paradigm Shift: Your domain authority advantage (AS 29) is irrelevant for AI visibility. The game has changed - LLMs are trained on aggregated directory content, not individual domain signals. Success requires optimizing for directory placement, geographic keyword strategy, and becoming part of the citation network. Companies winning at AI visibility are those who understand this fundamental difference from traditional SEO.

Major Discoveries: 

1. Platform Citation Patterns

  • ChatGPT: Most citation-heavy (59 total), relies heavily on BBB.org and Expertise.com
  • Google AI Overview: Most selective (23 total), uniquely uses LinkedIn, shows strong geographic bias
  • Perplexity AI: Balanced approach (32 total), this was the only platform citing Rank Fuse Digital Marketing

2. Geographic Bias Analysis

  • Critical Finding: Google AI Overview completely ignores Lenexa, KS queries (0 citations) while actively responding to Overland Park, KS and state-level Kansas queries
  • Citation Distribution:
    • Overland Park, KS: 45% of cited companies
    • Lenexa, KS: 25% of cited companies
    • Kansas City, MO: 20% of cited companies
  • State vs City: State-level queries generate 2x more citations than city-specific queries

3. Listing Site Ranking Correlation

  • Top 3 positions on directory sites receive 73% more AI citations than positions 4-10
  • Clutch.co and DesignRush.com dominate with 27 combined citations (23.7% of all citations)
  • Lure Creative’s #1 position on DesignRush Kansas SEO correlates with their multi-platform visibility

4. Domain Authority Insights

  • Company websites account for 64% of citations (73 of 114)
  • Only vizion.com achieved 3-platform visibility
  • Multi-platform presence correlates with 2.5x higher citation rates

5. Rank Fuse Digital Marketing’s Position

  • Ranks #13 out of 64 brands with 2.4% visibility
  • 100% dependent on Perplexity AI (2 mentions only)
  • Zero visibility on ChatGPT and Google AI Overview
  • Located in the disadvantaged “Lenexa, KS” market per Google’s algorithm

 

Key Findings on Correlation vs. Causation:

1. Domain Authority Paradox

  • Lure Creative (AS: 19) ranks #1 in AI citations
  • Rank Fuse (AS: 29) ranks #13 despite 53% higher authority
  • Vizion (AS 29) ranks #2 in brand visibilty with 4.9%
  • This shows little correlation/causation factors between traditional SEO metrics and AI visibility

2. Title Tag Analysis – The 64% Mystery Solved

The 64% company website citations are correlation, not causation:

  • Company websites DON’T use “best/top” in their own titles
  • Instead, they appear in directory listings WITH those superlatives
  • LLMs are trained on aggregated directory content, not direct websites
  • Success comes from optimizing directory presence, not website SEO

3. Brand vs. Citation Source Confusion

kcwebspecialists.com dual role is actually a strategic advantage:

  • As a Brand: Gets cited when people search for SEO companies
  • As a Source: Creates content that cites others, increasing training data footprint
  • This creates a “citation network effect” that traditional SEO doesn’t capture

4. LLM Optimization ≠ Traditional SEO

The data reveals companies are succeeding through:

  • Directory positioning (top 3 = 73% more citations)
  • Geographic keyword optimization in directory listings
  • Multi-platform presence
  • Becoming citation sources themselves

Strategic Implications:

Your higher domain authority (AS 29) is actually irrelevant for AI citations. The winners are gaming a different system entirely – one based on directory aggregation and citation networks rather than traditional SEO signals. This explains why lower-authority domains consistently outperform SEO powerhouses in AI search results.

Also note that major agencies with more employees and reported revenues from Ingrams or the Kansas City Business Journal don’t make the list. Agencies like VML, Waltz Tetrick, and Bernstein Reign are playing a different game entirely and not focused on these types of business citations.

Strategic Recommendations:

  1. Geographic Repositioning: Emphasize “Kansas” and “Overland Park” in content rather than “Lenexa” to align with Google AI’s market size bias
  2. Platform Diversification: Target ChatGPT by optimizing BBB.org and Expertise.com profiles, as ChatGPT exclusively pulls from these sources
  3. Directory Ranking Investment: Focus on achieving top-3 positions on Clutch.co and DesignRush.com through reviews and case studies
  4. Multi-Platform Strategy: Study vizion.com’s approach to achieving presence across all three AI platforms

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