Large language models (LLMs) are reshaping how brand authority is surfaced in AI-generated responses. Press releases distributed through Signal Genesys appear as cited sources, while traditional SEO relies on organic rankings and link authority. Both influence visibility, but it remains unclear which distribution domains gain consistent AI citation.
This study analyzes 179.5 million citation records across 6.1 million unique domains from 6 LLM platforms: OpenAI, Gemini, Perplexity, Grok, Copilot, and Google AI Mode. The analysis evaluates domain-level coverage, platform-specific patterns, authority scores, and category performance from October 1 to December 24, 2025.
Signal Genesys achieves 88.4 percent domain citation coverage, totaling 40,597 citations across platforms. Regional news dominates, led by News Channel Nebraska with 8,470 citations. Perplexity drives the largest citation volume, while Gemini delivers the highest authority, rank, and share of voice.
These findings show that press release distribution systematically affects LLM citations, but platform design determines whether volume or authority dominates. Brands can leverage these insights to optimize distribution for AI visibility, creating a measurable layer of digital authority beyond traditional search.
Methodology – How the LLM Citation Analysis Was Conducted
This study evaluates how press releases distributed through Signal Genesys are cited across 6 large language models (LLMs): OpenAI, Gemini, Perplexity, Grok, Copilot, and Google AI Mode. The analysis measures which distribution domains are cited, how frequently they appear, and their relative positioning and authority within LLM responses. Understanding these patterns reveals how AI systems recognize, prioritize, and amplify content from a single distribution network.
The dataset integrates 179.5 million citation records spanning 6.1 million unique domains collected between October 1 and December 24, 2025. Each record includes the cited domain, total mentions, position in the LLM response (average rank), and calculated authority metrics (citation score and share of voice). Citations were aggregated by platform to evaluate distribution coverage, volume, quality, and platform-specific effectiveness.
The analysis addresses 5 core questions:
- What percentage of Signal Genesys distribution domains are cited?
- Which LLM platforms cite domains most frequently, and what is the quality of these citations?
- Which domains achieve the highest volume, authority, and prominence?
- Which distribution categories perform best across LLM platforms?
- What are the overall quality metrics for Signal Genesys citations?
Dataset breakdown by LLM platform reveals platform-specific patterns: Grok holds the largest citation database (65.7M total citations), followed by Perplexity (35.9M), OpenAI (35.3M), Google AI Mode (30.5M), Copilot (8.9M), and Gemini (7.9M). Signal Genesys citations are analyzed relative to each platform to determine penetration rate, average rank, average citation score, and share of voice.
This framework enables both micro-level analysis (per domain and category) and macro-level analysis (platform-wide patterns). It isolates whether LLMs surface Signal Genesys content primarily by volume or authority, highlighting the interaction between distribution strategy and AI visibility.
Key Takeaways: What Drives LLM Citation Visibility
The analysis demonstrates that Signal Genesys consistently achieves high LLM visibility, with 88.4% of distribution domains cited across 6 major platforms. Nearly 9 out of 10 domains appear in at least one LLM citation, confirming that press releases distributed through Signal Genesys have a strong likelihood of being referenced by AI systems.
Platform-specific patterns shape visibility and quality. Perplexity drives the highest citation volume, while Gemini delivers the strongest authority, prominence, and share of voice. Copilot shows selective, quality-focused influence on key domains, whereas Grok, despite its large database, provides minimal penetration for Signal Genesys content. These patterns indicate that distribution effectiveness depends not only on domain presence but also on platform design and algorithmic citation behavior.
Top-performing domains reveal a concentration of influence. Regional news outlets dominate volume, while high-quality domains achieve both prominent placement and superior citation scores. Category-level analysis shows that Local & National Digital News Media lead overall coverage, but smaller broadcast and financial networks demonstrate per-domain efficiency, generating substantial citations relative to their network size.
Overall, Signal Genesys press releases shape LLM citation ecosystems, with volume, authority, and share of voice varying by platform and domain. Brands and content teams can leverage these insights to optimize distribution strategies, focusing on high-performing domains and platform-specific opportunities to maximize AI visibility.
Results – Signal Genesys Network-Wide Citation Performance
Total Distribution Domains and Citation Coverage
I, Manick Bhan, together with the Search Atlas research team, analyzed Signal Genesys press release distribution performance using a 3-month LLM citation dataset spanning October 1 to December 24, 2025. The analysis evaluates how frequently distributed domains appear as cited sources across 6 major LLM platforms, including Perplexity, OpenAI, Gemini, Google AI Mode, Copilot, and Grok.
The Signal Genesys network includes 259 total distribution domains. Of these, 229 domains appear in at least one LLM citation, producing a network-wide citation rate of 88.4%. Only 30 domains remain uncited, representing 11.6% of the distribution footprint.
This level of coverage establishes that Signal Genesys press releases consistently enter LLM citation ecosystems at the domain level. High domain-level inclusion indicates that distributed content aligns with the sources LLMs reference when generating responses, rather than remaining isolated from AI retrieval pipelines.
Citation Rate Across the Signal Genesys Network
The citation rate reveals how effectively distributed press releases translate into AI-visible sources. With nearly 9 out of 10 domains cited, Signal Genesys demonstrates broad network penetration across LLM platforms.
Uncited domains cluster into predictable segments. These include newer network additions that lack historical indexing signals and niche regional publishers with limited publication volume. The pattern suggests that citation absence reflects structural maturity rather than systemic exclusion from LLM ecosystems.
At the network level, citation presence signals baseline eligibility. Once domains enter LLM citation sets, platform-specific behavior determines volume, rank, and authority.
Visibility Implications for Distributed Press Releases
Platform analysis shows clear divergence in how LLMs surface Signal Genesys domains. Perplexity generates the highest citation volume, accounting for over 41% of all Signal Genesys citations. Gemini delivers the strongest qualitative performance, achieving the best average rank, highest citation scores, and dominant share of voice despite lower raw volume.
OpenAI and Grok contribute substantial citation counts but display weaker prominence and authority metrics. Grok, in particular, shows minimal Signal Genesys penetration relative to its total citation database, indicating limited alignment between its citation behavior and press release distribution networks.
These results confirm that Signal Genesys press releases achieve consistent LLM visibility, while platform design governs how that visibility translates into prominence and authority. Effective AI visibility, therefore, depends not only on distribution reach but on aligning distribution strategy with platform-specific citation mechanics.
Deep Dive – How Signal Genesys Performs Across LLM Platforms
Citation coverage reveals whether press release distribution creates baseline eligibility within LLM citation systems. At this layer, the question is not ranking or prominence, but inclusion.
Signal Genesys demonstrates near-saturation coverage. An 88.4% citation rate indicates that distributed domains consistently cross the minimum threshold required for LLM reference. This level of inclusion confirms that press releases distributed through Signal Genesys enter the citation candidate set used by AI platforms, rather than remaining outside model consideration.
The small uncited segment reflects structural variance rather than systemic exclusion. Domains with limited historical volume or recent onboarding show delayed citation emergence, which aligns with how LLMs weight publishing consistency and corpus depth.
Coverage therefore functions as a gatekeeper metric. Signal Genesys clears this gate at scale, establishing reliable eligibility across AI systems before quality differentiation begins.
Which LLM Platforms Cite Signal Genesys Most?
The total Signal Genesys citations by platform is below.
| Platform | Citation Count | Total Mentions | Avg Citation Score | Avg Rank | Avg Share of Voice |
| Perplexity | 16,728 | 19,124 | 48.71 | 5.30 | 10.89% |
| OpenAI | 9,330 | 9,489 | 19.26 | 16.50 | 3.61% |
| Grok | 8,461 | 10,987 | 18.62 | 18.95 | 3.41% |
| Google AI Mode | 5,429 | 7,551 | 32.79 | 6.62 | 9.84% |
| Gemini | 2,848 | 4,623 | 64.51 | 2.38 | 32.49% |
| Copilot | 1,801 | 4,894 | 51.83 | 3.81 | 22.11% |
Grok demonstrates weak Signal Genesys penetration despite broad citation capacity. Signal Genesys accounts for 0.01% of Grok citations, producing the worst average rank at 19.87 and the lowest citation score at 19.17, indicating structural deprioritization of press release sources within Grok’s retrieval and ranking pipeline.
Perplexity emphasizes breadth through retrieval-heavy behavior. It generates 16,728 citations, representing 41.2% of all Signal Genesys citations, with 0.05% platform penetration and a strong average rank of 5.72, confirming high inclusion frequency with moderate prominence.
Gemini emphasizes selectivity and authority-weighted ranking. Despite lower citation volume and 0.04% penetration, Gemini delivers the best average rank at 2.38, the highest citation score at 64.51, and the highest share of voice at 32.49%, demonstrating aggressive filtering followed by dominant visibility once sources qualify.
OpenAI and Grok occupy a middle-to-low influence band in aggregate volume. Together they account for over 17,700 citations, but lower average ranks and authority scores constrain competitive impact, reinforcing that distribution secures inclusion while platform-specific retrieval weighting determines influence magnitude.
Domain-Level Analysis – What Explains LLM Citation Performance for Press Releases?
LLM citation visibility does not distribute evenly across all publishers within a press release network. At the domain level, citation outcomes concentrate around a small set of consistently referenced publishers, revealing which characteristics translate distribution into sustained AI visibility.
Below are the top 15 most cited Signal Genesys domains and their full metrics.
| Rank | Domain | Citation Count | Total Mentions | Avg Rank | Avg Citation Score | Avg Share of Voice |
| 1 | newschannelnebraska.com | 8,470 | 10,593 | 9.49 | 37.83 | 13.14% |
| 2 | thestreet.com | 2,478 | 2,944 | 9.73 | 36.03 | 11.64% |
| 3 | washingtoncitypaper.com | 2,416 | 3,298 | 8.07 | 41.91 | 14.88% |
| 4 | boreal.org | 1,571 | 2,154 | 9.03 | 42.77 | 17.57% |
| 5 | ghlifemagazine.com | 1,408 | 1,486 | 6.99 | 39.50 | 11.23% |
| 6 | stylemg.com | 898 | 946 | 8.89 | 32.26 | 8.42% |
| 7 | bryancountymagazine.com | 786 | 831 | 8.81 | 26.18 | 6.55% |
| 8 | smithfieldtimes.com | 687 | 1,228 | 7.58 | 32.71 | 9.43% |
| 9 | winchestersun.com | 670 | 942 | 6.22 | 50.73 | 18.92% |
| 10 | oxfordeagle.com | 640 | 869 | 7.11 | 44.49 | 17.00% |
| 11 | valleytimes-news.com | 598 | 808 | 9.66 | 26.05 | 7.81% |
| 12 | state-journal.com | 572 | 678 | 9.09 | 40.04 | 11.81% |
| 13 | timesofsandiego.com | 547 | 705 | 7.67 | 38.83 | 12.22% |
| 14 | egcitizen.com | 530 | 578 | 9.57 | 36.89 | 9.33% |
| 15 | capecorallivingmagazine.com | 513 | 684 | 6.81 | 49.05 | 16.81% |
3 signals explain domain-level performance most clearly: citation volume, citation quality, and platform-specific dominance. Together, these signals separate domains that merely appear from those that meaningfully influence LLM-generated responses.
Most Cited Signal Genesys Domains
Citation volume identifies which publishers dominate LLM attention. The top-performing domains account for a disproportionate share of total citations, with regional and local news outlets leading by a wide margin.
newschannelnebraska.com is the clear leader with 8,470 citations, generating more than 3.4× the citations of the second-ranked domain and accounting for approximately 21% of all citations among the top fifteen publishers. This concentration confirms that consistent regional publishing at scale creates repeated exposure within LLM training and retrieval layers.
High citation volume signals frequent inclusion, but volume alone does not determine visibility quality or prominence within responses.
Volume Leaders Versus Authority Leaders
A clear separation emerges between domains that drive citation frequency and those that deliver citation strength. Several mid-volume publishers outperform higher-volume peers on authority score, ranking position, and share of voice.
winchestersun.com, capecorallivingmagazine.com, and oxfordeagle.com illustrate this pattern. The pattern is explained below.
- winchestersun.com records the highest citation score at 50.73, despite ranking 9th in citation volume, and achieves the strongest average positioning with an average rank of 6.22.
- capecorallivingmagazine.com posts a 49.05 citation score while ranking 15th in volume, paired with an average rank of 6.81.
- oxfordeagle.com reaches a 44.49 citation score from 10th-place volume, confirming strong authority conversion once cited.
Prominence leaders further reinforce this divergence. ghlifemagazine.com, despite not ranking among the top volume drivers, achieves an average rank of 6.99, placing it among the most prominently surfaced sources when selected.
This divergence shows that volume measures reach, while authority measures influence. High-frequency publishers ensure inclusion, but high-quality publishers shape how prominently information appears within AI responses.
Platform-Specific Performance by Domain
Platform behavior further refines domain performance. No single publisher dominates uniformly across all LLMs. Instead, different models reward different domain characteristics.
- Perplexity drives citation volume, delivering the highest citation counts for 8 of the top 15 domains, including newschannelnebraska.com, bryancountymagazine.com, and valleytimes-news.com.
- Gemini consistently delivers the strongest authority outcomes, producing the best average rank, citation score, and share of voice for 10 of the top 15 domains, including newschannelnebraska.com, thestreet.com, washingtoncitypaper.com, and winchestersun.com.
- Copilot emerges as selectively quality-focused, producing the best rank and citation score for domains such as ghlifemagazine.com, stylemg.com, and state-journal.com, despite lower overall citation volume.
- Grok appears as a volume and mention accelerator for select publishers, including thestreet.com, washingtoncitypaper.com, and winchestersun.com.
This fragmentation shows that domain success depends on platform alignment rather than universal dominance.
Category-Level Reinforcement Effects
Below is Signal Genesys network-wide performance and benchmarking and their interpretation.
| Metric | Value | Top 15 Average | Gap | Top Performer | Interpretation |
| Average Rank | 9.77 | 8.24 | -1.53 | 6.01 | Typically appears around 10th position in LLM responses |
| Average Citation Score | 36.56 | 38.48 | +1.92 | 50.73 | Moderate-to-strong authority (0-100 scale) |
| Average Share of Voice | 11.70% | 12.64% | +0.94% | 18.92% | Captures approximately 12% of competitive attention |
Category analysis reinforces domain-level findings. Local and national digital news outlets dominate total citations and authority scores, confirming that general news coverage aligns closely with LLM response needs.
Broadcast media and financial newswire categories show higher per-domain efficiency despite smaller footprints. These categories generate more citations per publisher, indicating concentrated trust rather than broad exposure.
Category structure therefore amplifies domain performance. Domains embedded in high-efficiency categories gain disproportionate visibility even with fewer peers.
What Explains Domain-Level LLM Visibility
Domain-level performance confirms that LLM citation behavior rewards consistent publishing, topical clarity, and platform compatibility, not sheer distribution volume alone.
Citation volume determines inclusion frequency. Authority metrics determine prominence. Platform design determines which signal dominates. Domains that align across all 3 achieve durable visibility within AI-generated answers.
This pattern explains why the top 15 domains outperform the broader network average across every quality metric. Concentrating distribution on proven domain performers compounds citation strength, elevates share of voice, and increases long-term AI discoverability across LLM ecosystems.
What Should PR, SEO, and AI Teams Do with These Findings?
Treat LLM citation presence as a measurable distribution outcome and operationalize it as a primary visibility channel across AI-generated answers. Instrument tracking for citation frequency, positional prominence, and share of voice to validate narrative penetration within AI response layers.
Optimize distribution at the domain level and prioritize publishers with sustained citation authority and consistent retrieval dominance. Allocate release placement based on authority-weighted performance rather than volume thresholds to control response prominence across LLM surfaces.
Adapt distribution strategy to platform-specific retrieval mechanics and benchmark citation behavior by model architecture. Tune targeting for Perplexity breadth, Gemini authority gating, and differentiated weighting in OpenAI and Grok to maximize retrieval alignment.
Align press themes with category-level citation efficiency and publisher performance characteristics. Route narratives through local, national, broadcast, or financial domains based on citation yield density to increase impact without expanding release volume.
Unify measurement across AI systems and integrate citation rank, authority score, and share of voice into core PR analytics. Monitor durability of AI visibility against traditional coverage signals to enforce distribution-performance accountability across PR, SEO, and AI teams.
What Are the Study’s Limitations?
Every dataset and methodology has boundaries. The key limitations of this analysis are listed below.
Distribution Scope. The study analyzes 259 Signal Genesys distribution domains. While this provides a clear view of network-wide visibility, smaller or niche domains outside this set are not represented, which may influence overall citation patterns.
Platform Variability. LLM platforms differ in access to live web retrieval, internal reasoning processes, and citation formatting. Metrics such as citation count, rank, and share of voice are not fully comparable across systems, limiting direct equivalence between Perplexity, Gemini, OpenAI, and others.
Temporal Window. Data collection spanned 3 months (October 1 to December 24, 2025). This snapshot captures short-term trends in visibility, but may not reflect seasonal fluctuations, ongoing indexing, or evolving publisher performance.
Citation Interpretation. A cited domain does not guarantee that content is fully read or integrated by the model; LLMs may summarize, paraphrase, or prioritize certain mentions differently. Citation presence measures exposure but does not capture semantic influence or sentiment.
Publisher and Category Distribution. Certain categories, such as local and national digital news, dominate citation volume, whereas others like financial newswire and broadcast media have fewer domains. Skewed representation may affect comparative performance analysis by platform or domain.The study provides a robust benchmark for understanding LLM citation visibility across major AI platforms despite these limits. Future research should expand domain coverage, extend the timeframe, and evaluate longitudinal changes in platform-specific performance, authority, and citation efficiency.
