Question 1

What is GEO optimization in PR?

Accepted Answer

GEO (Generative Engine Optimization) in PR is the strategic practice of ensuring your brand appears prominently when AI systems like ChatGPT, Perplexity, and Google AI Overviews generate answers to user queries. Unlike traditional SEO, which optimizes for search engine rankings, GEO focuses on building the authoritative media footprint that Large Language Models trust, cite, and recommend.

Question 2

How do you get cited by AI models?

Accepted Answer

AI models cite sources they consider authoritative. The most effective way to get cited is through earned media—press coverage in respected publications, industry analyst reports, and authoritative content. Crackle PR's GEO strategy combines strategic media relations with content optimization to systematically build the signals that LLMs use when generating recommendations.

Question 3

What is the difference between SEO and GEO?

Accepted Answer

SEO optimizes content for traditional search engine rankings using keywords, backlinks, and technical site factors. GEO optimizes for AI-generated answers by building authoritative signals—earned media, expert citations, and structured data—that LLMs rely on when synthesizing responses. The best strategies integrate both, but GEO increasingly requires PR-driven approaches that SEO alone cannot deliver.

Question 4

Why is earned media important for LLM visibility?

Accepted Answer

LLMs are trained on and retrieve from authoritative sources—particularly established media outlets, industry publications, and expert content. Earned media placements in these sources are treated as ground truth by AI systems. A brand with strong earned media coverage is far more likely to be cited, recommended, and surfaced in AI-generated responses than one relying solely on owned content or paid media.

Question 5

How much does GEO optimization cost?

Accepted Answer

GEO optimization is typically integrated into a comprehensive PR retainer at Crackle PR rather than offered as a standalone service. Our retainers range from $10,000 to $30,000+ per month depending on scope. Because GEO effectiveness depends on earned media authority, it's most impactful as part of a strategic PR program.

Question 6

Which AI models matter most for B2B tech visibility?

Accepted Answer

For B2B tech buyers, the priority models are ChatGPT (highest overall usage), Perplexity (preferred by technical and research-driven buyers), Google AI Overviews (default surface for billions of search queries), Claude (popular with engineering and product teams), and Gemini (integrated across Google Workspace). A strong GEO program builds authority signals that influence all five simultaneously, since they draw from overlapping authoritative source pools.

Question 7

How long does GEO take to show results?

Accepted Answer

Initial LLM citation lift typically appears within 60–90 days of sustained earned media coverage, as AI systems re-index and incorporate new authoritative sources. Meaningful share-of-voice gains in AI answers usually emerge in months 4–6, and category-leading authority compounds over 9–12+ months. GEO is a flywheel, not a campaign—the brands that start earliest build the widest moat.

Question 8

Can you guarantee ChatGPT citations?

Accepted Answer

No reputable agency can guarantee specific AI citations—anyone who does is misleading you. LLM outputs are probabilistic and the underlying training and retrieval systems change constantly. What we can guarantee is the input: a sustained earned media program in the authoritative outlets that LLMs demonstrably weight most heavily, plus the structured-data and content optimization that makes your brand easier to extract and attribute.

Question 9

Does GEO work for early-stage startups?

Accepted Answer

Yes—and early-stage startups arguably benefit most from GEO. Most categories still have a wide-open AI knowledge graph with no dominant cited brand. A startup that invests in GEO before its larger competitors can effectively own its category in AI answers, creating a compounding visibility advantage that's extremely difficult for late-moving incumbents to displace.

Question 10

How is GEO measured?

Accepted Answer

GEO is measured across three layers: (1) Citation tracking—how often and in what context your brand appears in answers from ChatGPT, Perplexity, Gemini, and Google AI Overviews for priority queries; (2) Source-of-truth audit—which authoritative outlets reference your brand and how recently; (3) Share-of-voice vs competitors in AI-generated answers within your category. Crackle PR provides ongoing dashboards for all three.

Question 11

Do I need an llms.txt file for GEO?

Accepted Answer

An llms.txt file (and a more comprehensive llms-full.txt) is a low-effort, high-leverage signal for AI crawlers. It gives LLMs a curated, structured view of your most important content, positioning, and citations. It won't replace earned media authority, but it materially improves extraction accuracy and reduces the risk of AI systems mis-attributing or hallucinating about your brand. Crackle PR ships both files as part of every GEO engagement.

Question 12

How does GEO relate to AEO (Answer Engine Optimization)?

Accepted Answer

AEO is a subset of GEO focused specifically on optimizing content—particularly press releases, FAQs, and structured data—so AI answer engines can extract clean, attributable answers. GEO is the broader strategy: building the earned media authority and citation graph that determines whether AI systems consider your brand a credible source in the first place. The two are complementary—AEO without GEO is content nobody trusts; GEO without AEO is authority nobody can extract.