In 2026, the world isn't "Searching"—it’s asking.

Is your brand the answer?

In 2026, 89% of B2B buyers use Generative AI at every stage of the purchase process. If your enterprise isn't the "Cited Authority," you aren't just losing clicks—you’re being excluded from the shortlist before the first sales call is even made.

The B2B Transformation: From "Search" to "Synthesised Decision"

The traditional B2B funnel is broken. Buyers no longer navigate 15 whitepapers and a dozen blog posts. Instead, they ask a single, complex prompt:

"Compare the top 3 cybersecurity platforms for a UK-based financial firm with legacy on-prem servers and GDPR compliance needs."

In this moment, the AI doesn't give them a list of links. It gives them a recommendation. Genivista ensures that recommendation is you.

The Genivista Offering: B2B Answer Intelligence

We provide strategic growth intelligence that moves your brand from "Searchable" to "Recommended." By focusing on how Large Language Models (LLMs) synthesise B2B information, we ensure your company is the preferred choice when the buying committee consults AI.

1. Enterprise Share of Model (SOV) & Intent Mapping

We go beyond keyword tracking to measure your Share of Model. We track how your brand appears across ChatGPT, Claude, Gemini, and Perplexity for high-intent enterprise queries.

• The Intelligence: We map 50–100 "Decision Prompts" specific to your ICP (Ideal Customer Profile) and track your inclusion rate against your primary competitors.
• The Outcome: A clear view of your visibility within the "Black Box" of AI-generated shortlists.

2. The Citation Network & Third-Party Validation

AI models prioritise "Consensus." They don't just trust your website; they look for what the industry says about you.

• The Strategy: We identify the specific "Trust Nodes"—industry journals, Reddit communities, and G2/Capterra reviews—that are currently feeding the LLM’s knowledge of your category.
• The Execution: We implement a targeted "Signal Campaign" to ensure these third-party sources reinforce your core value propositions, creating a "Pattern of Authority" that AI engines can't ignore.

3. B2B Technical Grounding & "Fact Density"

LLMs are prone to hallucination. To be cited, your data must be "First-Class Evidence."

• The Strategy: We re-engineer your high-value assets (Case Studies, ROI Calculators, Security Docs) into Atomic Data Nodes.

The Implementation: Using advanced Schema layering (including      ClaimReview       and   SoftwareApplication       markups), we make your complex B2B facts "machine-readable," ensuring AI engines cite your specific stats with 100% confidence. contracts or costly overhead.