GEO Jetpack analyses every prompt at six levels — visibility, citation, entity extraction, knowledge graph mapping, content structure, and sentiment. So measurement becomes something you can act on, not a dashboard you check.
Citation trackers stop at “was your brand mentioned.” GEO Jetpack completes six analytical passes on every prompt, so measurement becomes something you can act on.
Is your brand cited across ChatGPT, Claude, Gemini, and Perplexity — and how prominently within each response?
Which sources did each LLM pull from? Which of those sources are yours, and which belong to competitors?
What entities did the LLM understand from the response — and at what salience? ENQ™ taxonomy classifies every one.
Are those entities present in Wikipedia, Wikidata, and Google’s Knowledge Graph — the grounding sources LLMs rely on?
Which of your pages align with the answer? Which schema, headings, and structural elements are contributing to citations?
How is your brand positioned in the response versus competitors — favourably, neutrally, or negatively?
Add your brand, select your engines from ChatGPT, Claude, Gemini, and Perplexity, choose your market, and load your prompts. The platform auto-suggests prompts based on ENQ entity taxonomy so you cover brand, competitive, service, audience, and topic-discovery classes without gaps.
Standard prompts run weekly to give you clean trend data without noise. Flag your priority prompts as “watched” and they run daily via real-user-perspective monitoring — catching movement on the prompts most relevant to your strategy.
Every recommendation ties back to a specific page, schema element, entity gap, or content decision. Export to PDF or CSV, share via Looker Studio, or plug data into your existing reporting stack via the API.
LLM responses vary day-to-day for reasons unrelated to your optimisation work — backend routing changes, model A/B tests, personalisation. Daily-default dashboards turn that variance into false “movement” alerts, and buyers lose trust in the data.
GEO Jetpack takes a different position on cadence:
Track how your brand appears across ChatGPT, Claude, Gemini, and Perplexity — with side-by-side comparison against named competitors and citation authority scoring for every source pulled into responses.
Identify which entities LLMs associate with your brand versus your competitors. Cross-reference with Wikipedia, Wikidata, and Google Knowledge Graph to see where your entity presence is weak — and what to prioritise.
See which of your pages are actively contributing to citations — and which prompts your content should be earning citations for but isn’t. Get page-level recommendations for schema, structure, and content depth.
Native Looker Studio community connector for live dashboards, branded PDF reports for stakeholder circulation, CSV exports for team analysis, and API access for feeding data into your existing reporting infrastructure.
GEO Jetpack is used by brands running their own AI visibility programme and by agencies delivering it for clients. Pricing, features, and onboarding differ by audience.
Monitor your brand’s visibility in AI answers, understand what’s contributing to citations, and optimise your pages accordingly.
Deliver AI visibility monitoring as a productised service for your clients, with white-label reports and multi-tenant management.