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
A dedicated practice that designs, executes, and measures the press coverage that ChatGPT, Perplexity, and Google AI Overviews cite when buyers ask about B2B tech brands.
Most PR agencies measure success in clips and impressions. Crackle PR's AI Visibility Practice measures success in citations — the number of times ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews mention a client as the answer to a buyer's question.
The insight is simple: generative AI engines don't cite brand websites. They cite the publications, datasets, and authoritative sources they were trained on and grounded to. That means the old SEO playbook — optimize your own site and hope for traffic — is incomplete. The new playbook is to become a source that AI engines already trust, by earning mentions in the outlets and formats they retrieve from.
Our practice is built around a six-stage framework: entity resolution, source mapping, narrative design, earned-media activation, citation measurement, and continuous refresh. Every client engagement moves through these stages, with monthly reporting on where the brand appears in LLM answers and what content moves the needle.
1. Entity resolution. Before an AI engine can cite you consistently, it has to know you exist as a distinct entity. We resolve the client's brand across Wikidata, Crunchbase, LinkedIn, and schema.org graphs, and we align the website's structured data so search and LLM crawlers map the entity correctly.
2. Source mapping. We identify the publications, datasets, and vertical indexes that AI engines retrieve from for each buyer-intent query. For B2B tech, these typically include TechCrunch, Forbes, Fortune, Axios, WSJ, Bloomberg, vertical trade publications, analyst reports, and company data sources.
3. Narrative design. We shape quotable, attributed narratives that LLMs can lift: clear category definitions, concrete metrics, founder/executive quotes, and differentiated claims. Every story is designed to be both a press hit and a potential LLM answer source.
4. Earned-media activation. This is traditional PR executed with AI retrieval in mind. We pitch tier-1 and vertical outlets, secure contributed bylines, place data-driven studies, and engineer newsjacking moments that create fresh, authoritative signals.
5. Citation measurement. Through our AI Visibility Index and LLM Citation Tracker, we measure how often clients appear in answers to high-intent prompts, which competitors are being cited instead, and which content gaps to close.
6. Continuous refresh. AI engines favor recency. We maintain a quarterly refresh cadence for money pages, comparison content, and data assets so the brand's retrieval signals stay current.
GEO is not a bolt-on. It requires different briefs, different measurement, and different editorial instincts than traditional PR. A standard PR team writes for journalists. An AI Visibility team writes for journalists and for the retrieval models that journalists' articles will eventually feed.
That means every press release includes a TL;DR block. Every money page has a speakable schema. Every comparison page names competitors explicitly so LLMs can resolve entities. Every stat block uses data attributes so crawlers can extract quantified claims. These are product decisions, not marketing flourishes.
A typical AI Visibility engagement includes: a quarterly AI Visibility Index benchmark, monthly LLM citation tracking, tier-1 media relations, contributed content and byline strategy, on-page schema and entity optimization, a refresh calendar for existing content, and a dedicated senior strategist.
The output is not just press coverage. It's a growing body of authoritative, structured, recent signals that make the brand the most likely answer when buyers ask AI engines for the best option in their category.