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A lot of the conversation around AI visibility treats it as a single problem with a single playbook: optimize content for LLMs, appear in AI responses, and move on.
But when we analyzed 57.2 million citations across 50 B2B brands and seven verticals, we found that’s not true. The third-party sources that shape AI responses vary significantly by industry, and that means the path to closing the gap depends on where you sit.
There’s no universal citation landscape. Every vertical has its own fingerprint.
The path to closing the gap looks different depending on where you sit.
Seven SaaS Verticals. Seven Citation Fingerprints.
We partnered with AirOps, a leading AI visibility platform, to track how B2B brands appear in AI responses across five major platforms over 60 days.
Across all seven verticals, brand-owned content made up only a small fraction of citations. For example, in the Productivity tools vertical, the dominant influences include Reddit, YouTube, and affiliate and comparison sites.
But the exact mix of sources — Reddit, YouTube, LinkedIn, developer communities, high authority institutional domains, comparison sites, and others — varies meaningfully by industry. That mix determines who shapes the story AI tells about your brand (which means it also shapes your generative engine optimization strategy).
A few verticals show distinctly different citation fingerprints.
- Fintech: Comparison and affiliate sites play a meaningful role in shaping AI citations. Sources like NerdWallet or Bankrate appear frequently, and no other vertical shows this level of influence from comparison-driven content. In Fintech, the AI narrative is partially shaped by sites whose core function is ranking and comparing products.
- DevOps & Security: Developer community platforms dominate citation patterns, including GitHub, Medium, and dev.to. Technical buyers evaluate tools through code examples, tutorials, and practitioner-led content—and AI systems mirror that evaluation behavior in their sourcing.
- Healthcare & Wellness: High-authority institutional sources such as PubMed, Healthline, and Mayo Clinic carry outsized influence. In this vertical, brands are not only competing with direct competitors for visibility, but also with clinical and academic institutions that shape perceived authority in AI responses.
- Productivity: YouTube had the highest single-source citation share recorded across any vertical. This aligns with the demo-driven nature of productivity tool evaluation. Integration and ecosystem platforms such as Zapier and Atlassian also appear at higher concentrations than in other categories.
These differences reflect how buyers evaluate solutions differently across verticals. AI models, in turn, reflect those evaluation patterns in the sources they cite.
The Sources Shaping the Narrative Also Change Based on Query Type
The citation fingerprint doesn’t only vary by vertical. It also shifts depending on whether a buyer is searching for a specific brand or exploring a category..
In branded queries, the external narrative is dominated by Reddit (28.0%), YouTube (19.6%), G2 (10.8%), and LinkedIn (8.5%). Together, these four sources account for 58% of external citations.
G2 is particularly prominent in this context. When buyers search for a brand directly, review sites play a significant role in shaping how AI frames the response.
In unbranded queries, the distribution shifts. Reddit rises to 30.9%. LinkedIn moves into second place at 15.4%. YouTube declines slightly to 14.9%. Wikipedia (6.8%) and Medium (5.9%) enter the mix. G2, which represented 10.8% in branded queries, falls out of the top 15 entirely.
Your channel mix needs to match query type, not just funnel stage.
G2 reviews shape AI responses for branded queries. LinkedIn drives category-level narratives. Wikipedia (often overlooked by B2B brands) anchors category-definition queries where first impressions are formed.
Each channel serves a distinct function in AI-generated responses, yet most brands optimize narrowly for a single surface.
If you invest heavily in G2 reviews but ignore LinkedIn and Wikipedia, you’re optimizing for validation moments while leaving discovery entirely to chance.
Get the Full Picture of B2B AI Visibility in our Report.
We mapped citation fingerprints across seven B2B verticals, including source-type breakdowns, the split between brand-owned and third-party content, and how top-performing brands earn citations alongside dominant external sources.
If you want to understand what you’re up against in your vertical, the full dataset is available in the report.
Read the full report: The Hidden Selection Phase → [link]
