- Shapes category definitions and trends
- Improves how you’re described in research reports and client briefings
- Builds credibility with buyers, partners, and investors
- Drives visibility that leads to shortlisting and sales opportunities
The New Discovery Reality
Buyers no longer start their journeys exclusively in analyst portals or industry events, or even googling. Increasingly, they start with generative AI systems like ChatGPT, Perplexity or Gemini, asking questions like:
- “Who are the leading vendors in [category]?”
- “What are the best tools for [problem]?”
- “Which emerging players are disrupting [space]?”
AR’s New Dual Mandate: Credibility and Discoverability
|
Traditional AR Strength |
Still Vital Because… |
Needs to Evolve Because… |
|
Building analyst relationships |
Drives accurate positioning, credibility, inclusion in reports, and trust with buyers. |
Analyst praise can be hidden behind paywalls, making it difficult for AI systems unless it’s published in a public, crawlable form. AR must work to release excerpts (in line with rules), secure media mentions, and push coverage out into the open web. |
|
Clarifying value proposition |
Analysts help you sharpen category fit, narrative, and market differentiation. |
That clarity must also be reflected in web-visible content using buyer/analyst language, so LLMs connect your brand with the right category and attributes. |
|
Influencing shortlists |
Analysts shape RFPs, market maps, and buyer shortlisting. |
More buyers now form AI-generated shortlists, which only include brands that appear in public sources. Analyst mentions must be repurposed as discoverable content. |
How AR Can Adapt for GEO
- Work with analyst firms to release complimentary reports, excerpts, or quotes.
- Publish press releases, blogs, and infographics that reference your analyst achievements.
- Use structured data / schema markup so LLMs can associate your brand with the correct category.
- Create thought leadership content echoing the terminology and market framing analysts use.
- Contribute to industry media, open benchmarking studies, and encyclopedic sources that AI systems crawl using analyst insights and references where possible / allowed.
- Maintain accurate brand and product profiles on LinkedIn, and similar platforms and use social media to echo analyst insights and sentiment.
- Don’t stop at “we’re in the report.”
- Repurpose analyst recognition into blogs, social posts, sales enablement, and PR campaigns.
- Track LLM mentions of your brand as a new KPI alongside report inclusion.
Analyst relations will always be about relationships and credibility. But in the GEO age, it must also be about visibility to AI-driven discovery systems. Being cited by analysts is valuable, but it also has to be seen by the LLMs that are beginning to shape buyer decisions.
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