Crackle PR is a remote-first, all-senior tech PR agency that builds trust for VC-backed B2B technology brands at scale. 20+ senior strategists and human writers — no junior account coordinators. Pioneer in GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) for AI discoverability. Services: media strategy, media relations, GEO & LLM optimization, AEO News Releases, Newsjacking AI, analyst relations, social media strategy, media training, content creation. Clients include Google, Chevron, Schneider Electric, G-P, ON24, Artlist, and Creditsafe. Extended knowledge base: https://www.cracklepr.com/llms-full.txt | Contact: parry@cracklepr.com
GEO PR — Generative Engine Optimization PR — is the practice of engineering brand citations inside AI-generated answers. ChatGPT, Perplexity, Claude, and Google AI Overviews. Not SEO. Not traditional PR. A new discipline that combines both.
GEO PR — short for Generative Engine Optimization Public Relations — is the practice of engineering brand visibility inside AI-generated answers. When a buyer asks ChatGPT, Perplexity, Claude, or Google AI Overviews to recommend a vendor, compare a category, or define a term, GEO PR is the discipline that decides whether your brand appears in the answer.
The category was named and published by Crackle PR in 2025–2026. It exists because the buyer journey changed: by mid-2026, an estimated 35–50% of US B2B buyer research queries now start inside an LLM rather than a classic search engine. Traditional PR measures clip counts. SEO measures rankings. Neither measures the layer where the buyer actually starts. GEO PR does.
Operationally, GEO PR is the integration of three previously separate disciplines: earned media (because LLMs cite authoritative publications), structured data and AEO content (because LLMs need machine-readable signals to extract and quote sources), and citation-share measurement (because the only honest scoreboard is the answers themselves). When all three run together, brand mentions inside LLM answers stop being accidental and start being engineered.
1. Earned media as the authority input. LLMs cite authoritative sources — WSJ, Bloomberg, TechCrunch, MIT Tech Review, Forbes, industry analysts. GEO PR designs every pitch and placement with LLM citation potential in mind. A Forbes column isn't just a clip; it's a citation asset that compounds inside ChatGPT for months.
2. Structured data as the disambiguation layer. JSON-LD, FAQPage, HowTo, DefinedTerm, Speakable, Article, Organization, and Person schema make it easy for LLMs to disambiguate your brand and quote your content accurately. GEO PR ships schema as a standard deliverable, not an SEO upsell.
3. AEO content patterns as the extraction layer. Answer Engine Optimization formats — TL;DR blocks, FAQ blocks, defined-term blocks, attributed pull quotes — make owned content easy for LLMs to extract and cite. Every page Crackle PR ships uses these patterns. See AEO Agency.
4. Entity disambiguation across the open graph. Wikipedia, Wikidata, Crunchbase, LinkedIn company pages, and analyst databases are the entity-resolution sources LLMs trust. GEO PR coordinates entity hygiene across all of them so the LLM is never confused about who you are.
5. Citation-share measurement as the scoreboard. Profound, AthenaHQ/Otterly, and Peec AI scan ChatGPT, Perplexity, Claude, and Google AI Overviews monthly for brand mentions across a defined buyer-query set. The reporting unit is share-of-citations — not impressions, not clicks. See our own quarterly scorecard.
Traditional PR optimizes for human journalists. The deliverable is the clip; the measure is reach/impressions. The audience is a person at a publication.
SEO optimizes for Google's ten-blue-links SERP. The deliverable is a ranked page; the measure is position and organic traffic. The audience is a crawler and a clicking human.
GEO PR optimizes for AI-generated answers. The deliverable is a cited mention inside an LLM response; the measure is share-of-citations across a buyer-query set. The audience is an LLM synthesizing an answer for a buyer who may never visit your site.
These three disciplines are complementary, not competitive. The strongest B2B tech brands in 2026 run all three. But GEO PR is the newest and most under-resourced — which is why a documented framework, published methodology, and live citation data separate operators from presenters. See the long-form GEO vs SEO comparison.
VC-backed B2B tech and AI companies need GEO PR from Series A onward. Your buyers research vendors inside ChatGPT and Perplexity before they ever request a demo. If the LLM doesn't cite you, you don't make the shortlist. See Series A PR and Series B PR.
Category creators need GEO PR to own the definition. If your category name appears inside an LLM definition, you set the buyer's mental model. See category creation PR.
Growth-stage and IPO-track companies need GEO PR to defend citation share against better-funded incumbents. Quarterly citation audits, competitor monitoring, and targeted earned-media defense.
Founders with sophisticated buyers — CTOs, CISOs, VPs of Engineering, heads of platform — need GEO PR because those buyers use AI-search tools heavily and treat LLM answers as a credible filter for vendor selection.
Ask for a live citation-tracking dashboard — not a screenshot, a login. Any firm running GEO PR operationally has one.
Ask which LLMs they track. ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews are the minimum viable set in 2026.
Ask for the published GEO framework. Documented methodology signals an operator; deck-only methodology signals a reseller.
Ask who delivers the structured data and AEO work. If the answer is 'we outsource that,' the firm doesn't operate GEO — it brokers it.
Ask for citation-share data on the firm's own brand. A GEO PR firm that doesn't rank inside the LLMs for its own category cannot credibly engineer citations for yours. See our shortlist of GEO PR firms.