# Crackle PR — Senior-led B2B tech PR agency running earned media plus GEO/AEO to win AI citations.

> Source: CitedIndex — https://citedindex.com/crackle-pr (structured, researched, re-verified)
> Facts last verified: 2026-10-19

Crackle PR is a remote-first B2B technology PR agency whose retainers combine media relations, executive thought leadership and generative-engine optimisation. Its AI Visibility Practice pairs earned-media activation with schema, llms.txt and monthly citation measurement for clients.

| Fact | Value |
| --- | --- |
| Website | https://cracklepr.com |
| Price | from $12,000/month |
| Free tier | No |

No free or trial retainer. Free self-serve assets exist (AI Visibility Score assessment, benchmarks, ROI calculator) but the service itself starts at $12,000/month with a six-month initial commitment, then month-to-month.

## What it does

**Monitors AI answers** · Yes — The agency measures how often client brands appear in AI answers, reporting monthly citation tracking and a quarterly benchmark rather than offering a self-serve dashboard.

> 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.
> — https://www.cracklepr.com/ai-visibility-practice · Section 'The six-stage AI Visibility framework', step 5 Citation measurement

**Optimises your content** · Yes — Engagements begin with an audit of existing visibility and then prescribe changes to structured data, llms.txt, messaging and content architecture on pages the client already has.

> We optimize your structured data, llms.txt file, key messaging, and content architecture to make it easier for AI systems to understand and cite your brand.
> — https://www.cracklepr.com/geo-llm-optimization-pr · Section 'Our GEO & LLM Optimization Framework', item 4 Content & Data Optimization

**Generates content** · Yes — Human writers produce bylines, press releases, LinkedIn ghostwriting and data studies as a named retainer deliverable rather than through any generation tool.

> High-impact bylines, thought leadership pieces, press releases, and editorial content engineered for reach.
> — https://www.cracklepr.com/ · Section 06 The Services, Content Creation card

**Technical AEO** · Yes — Schema, llms.txt deployment, speakable markup and AI crawler policy are named workstreams, and the agency maintains its own public crawler reference guide.

> Crackle PR runs GEO as a first-class deliverable — earned media in the outlets LLMs weight, structured schema, llms.txt, and monthly citation-share reporting
> — https://www.cracklepr.com/geo-llm-optimization-pr · Section 'The short version', second bullet

**Done-for-you service** · Yes — This is a done-for-you retainer: senior strategists embedded with the client team execute the strategy, pitching and reporting themselves, with no junior coordinators staffed.

> Senior strategists embedded with your team. A Crackle PR B2B tech PR retainer staffs no account coordinators
> — https://www.cracklepr.com/pricing · Section 'What a $12K/month Crackle PR retainer includes', first paragraph

## Answer engines

**ChatGPT** · Yes — ChatGPT is first among the engines the agency both optimises for and measures, and it is a scored engine in its own quarterly index protocol.

> ChatGPT — OpenAI model endpoint with the web browsing tool enabled, default temperature, no custom instructions, memory off.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Section 3 'AI systems, model pins, and configurations', ChatGPT bullet

**Perplexity** · Yes — Perplexity is queried through its non-Pro answer endpoint as one of the scored engines in the published measurement protocol behind client reporting.

> Perplexity — non-Pro answer endpoint, no Pro toggles, no focus modes; search is inherent to the endpoint and is on by default.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Section 3 'AI systems, model pins, and configurations', Perplexity bullet

**Gemini** · Partly — Gemini is named as a surface the GEO work targets, but the measurement panel excludes it and explicitly refuses to substitute a Gemini call for AI Overviews.

> A Gemini API call is never substituted for an AI Overviews answer under any circumstance.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Section 3c 'If an engine cannot be collected', second paragraph

**Google AI Overviews** · Partly — AI Overviews is a scored engine but browser-captured rather than endpoint-collected, and the protocol allows it to publish as not collected for an edition.

> Google AI Overviews — underlying model not disclosed by Google and recorded as observed; search-native, so no tool toggle exists. Google offers no programmatic endpoint
> — https://www.cracklepr.com/ai-visibility-index/methodology · Section 3 'AI systems, model pins, and configurations', Google AI Overviews bullet

**Claude** · Yes — Claude is collected through Anthropic's endpoint with web search enabled and is one of the three engines used for edition-over-edition comparison.

> Claude — Anthropic model endpoint with the web search tool enabled, default temperature, new context per query.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Section 3 'AI systems, model pins, and configurations', Claude bullet

**Microsoft Copilot** · No — Copilot is absent from the complete five-engine measurement panel; it is mentioned only as a reason not to block Bingbot in the crawler reference guide.

> The AI Visibility Index measures which B2B tech PR agencies are named in answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and — from the Q4 2026 edition — Grok.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Intro paragraph above section 1 Scope, full engine panel sentence

**Grok** · Partly — Grok entered the measurement panel only from the Q4 2026 edition by amendment, so it is newer and excluded from quarter-over-quarter deltas.

> Grok — xAI model endpoint with live search enabled, no personalization, US English content through the vendor's default routing... Added by the v1.4 amendment (2026-09-06), effective with the Q4 2026 edition.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Section 3 'AI systems, model pins, and configurations', Grok bullet

**DeepSeek** · No — DeepSeek is not in the enumerated five-engine panel the agency scores, and no service page names it as an optimisation or reporting target.

> 25 fixed commercial-intent queries × 5 AI systems × 5 runs per quarter = 625 scored answers.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Intro paragraph above section 1 Scope, panel arithmetic sentence

**Meta AI** · No — Meta AI is absent from the scored engine panel; Meta appears only as a crawler to allow so Llama training can ingest a client's pages.

> Meta-ExternalAgent — Operator: Meta. User-Agent: Meta-ExternalAgent. Purpose: Training data collection for Meta AI (Llama).
> — https://www.cracklepr.com/crawlers · Section 'The Complete AI Crawler List', Meta-ExternalAgent entry

**Coverage in the vendor’s words** · Yes — Coverage is stated as five scored engines in a frozen quarterly protocol, with run counts, model pins and a not-collected rule published per engine.

> The AI Visibility Index measures which B2B tech PR agencies are named in answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and — from the Q4 2026 edition — Grok.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Intro paragraph above section 1 Scope

## What it reports

**Names the cited sources** · Partly — Source mapping identifies which publications and datasets engines retrieve from, but the reporting is described as citation share and mention rates rather than per-page citation lists.

> We identify the publications, datasets, and vertical indexes that AI engines retrieve from for each buyer-intent query.
> — https://www.cracklepr.com/ai-visibility-practice · Section 'The six-stage AI Visibility framework', step 2 Source mapping

**Competitor tracking** · Yes — Competitive mapping is a named framework stage, covering which rivals are cited instead of the client, in what contexts and from which sources.

> Competitive AI Landscape — We map which competitors are being cited, in what contexts, and from what sources—identifying gaps and opportunities for your brand.
> — https://www.cracklepr.com/geo-llm-optimization-pr · Section 'Our GEO & LLM Optimization Framework', item 2

**Brand sentiment** · No — The measurement explicitly stops at presence in answers; the published scope says it does not measure sentiment, so no attribute or perception reporting is offered.

> It does not measure sentiment, revenue outcomes, client satisfaction, or execution quality.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Section 1 Scope

**Recommendations** · Yes — Reporting is tied to prescribed action: the framework closes content gaps, sets a refresh calendar and recalibrates the narrative roadmap quarterly.

> We maintain a quarterly refresh cadence for money pages, comparison content, and data assets so the brand's retrieval signals stay current.
> — https://www.cracklepr.com/ai-visibility-practice · Section 'The six-stage AI Visibility framework', step 6 Continuous refresh

**AI crawler analytics** · Partly — The agency advises on robots.txt and CDN-level AI bot policy with a documented bot reference, but publishes no capability to show which bots actually crawled a client site.

> Manage policy in robots.txt as the source of truth. If you also run Cloudflare, keep the AI Crawlers dashboard set to Allow so it doesn't override your robots.txt
> — https://www.cracklepr.com/crawlers · Definition section, 'What is an AI crawler?' closing paragraph

**Wrong answers about you** · Partly — A reliability rate counts engines naming defunct, merged or misattributed agencies, but that audit measures the engines across the index cohort rather than flagging false claims about one client brand.

> Recommendation-reliability rate: how often engines name agencies that are defunct, merged into another shop, misattributed, or outside B2B technology entirely, published as a rate per engine with examples from the archive.
> — https://www.cracklepr.com/ai-visibility-index/methodology · Section 3b-ii, 'Two diagnostic views beyond the league table'

## Plans and signing up

**Countries** · Partly — Markets beyond the US are served by scaling the retainer above the floor, with UK and Canadian press named, while measurement itself claims no region control.

> Geographic reach. Adding UK or Canadian press to a US B2B tech PR program adds time-zone coverage and new journalist relationships.
> — https://www.cracklepr.com/pricing · Section 'What changes the price of a Crackle PR retainer', Geographic reach bullet

**How often it checks** · Yes — Citation reporting runs monthly inside the retainer, with the benchmark re-scored quarterly; there is no on-demand client-run check.

> Monthly Results report: coverage, share of voice, AI citation share Quarterly Narrative review, roadmap reset, AI Visibility Index re-scoring
> — https://www.cracklepr.com/ · Section 05 Methodology, Operating Cadence list

**Self-serve signup** · No — Buying requires a scoping conversation with the founder; only assessment tools and research are self-serve, not the retainer itself.

> The first conversation with Crackle PR founder Parry Headrick is a scoping call, not a pitch.
> — https://www.cracklepr.com/pricing · Definition section 'What is Crackle PR pricing?', final paragraph

## What changed

- 2026-10-19 — Capabilities · Free tier · Price

## Keeping it current

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