50 buyer-intent prompts · YourBrand vs top 3 competitors
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Live demo · the dashboard shape every serious GEO program builds first - share of voice across the four major assistants on a fixed prompt set.
Track three things weekly: share of voice on a fixed prompt set, crawler coverage from server logs, and referrer + brand search lift as proxies for the attribution gap. Anything else is vanity. Build the prompt sweep first - it's the metric that correlates with pipeline.
1. The prompt sweep is the foundation
Maintain a list of 30-100 prompts your customers actually ask in your category. Run them weekly through ChatGPT, Claude, Gemini and Perplexity programmatically. Store the structured response - which brands appeared, in which position, with what context - in a simple database. That single dataset gives you share of voice, competitor benchmarking, regression detection and a clean before/after for any GEO change you ship. The full mechanism for why some prompts win and others don't is documented in our citation algorithm guide.
2. The tooling shortlist
The 2026 lineup: Profound, Peec, Otterly, AthenaHQ and Goodie all run prompt sweeps end-to-end and surface share of voice, sentiment and competitor benchmarking. They each have rough edges; pick whichever has the best coverage of the specific assistants and prompt sets you care about. If you have engineering capacity, rolling your own with the OpenAI and Anthropic APIs plus a cron job and a Postgres table is a 1-week build and gives you total control over the prompt set.
3. Server log analysis for crawler coverage
Filter your access logs by user agent for GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, anthropic-ai, PerplexityBot and Google-Extended over the last 30 days. Group by URL and look at the gaps. If your hub pages get hit but your deep pages do not, you have an internal-link architecture problem - the same one documented in our do AI assistants follow links guide. Crawler coverage is the leading indicator: pages that don't get crawled can't get cited.
4. Referrers, brand search lift and the attribution gap
GA4 shows you direct AI referrals from chatgpt.com, perplexity.ai and (sometimes) bing.com - but the majority of AI-driven sessions never carry a referrer at all. The standard workaround is to triangulate three signals: GA4 referrers, brand search lift in Google Search Console (a strong proxy for AI-driven brand awareness), and a single "where did you hear about us" question on every signup form. The deep playbook lives in our measure GEO ROI guide.
5. The reporting cadence
Weekly prompt sweep, weekly crawler coverage scan, monthly referrer + brand search rollup, quarterly competitive deep dive. Anything more frequent is noise; anything less and regressions live for too long before you catch them. The teams that hit AI search hardest in 2026 all run the weekly sweep as a Monday morning standing meeting - it's the GEO equivalent of the old SEO rank tracker check.
For the per-platform tactics that move these numbers, see our rank in ChatGPT, Claude, Gemini, Perplexity and AI Overviews guides.
Recap
Tracking AI search visibility comes down to four things: a weekly prompt sweep on a fixed buyer-intent prompt list, server log crawler coverage, referrer + brand search lift as attribution proxies, and a tight reporting cadence. Build the prompt sweep first - it's the single metric that correlates with pipeline, and it's the only one that gives you a real before/after for every GEO change you ship.
GEO measurement, done weekly
Geolify GEO packages include the full prompt sweep across ChatGPT, Claude, Gemini and Perplexity, server log analysis, weekly share-of-voice reports, and the attribution stack - all in one engagement. From $499.
FAQ
How do I track whether ChatGPT mentions my brand?
The fastest reliable method is a weekly prompt sweep: maintain a list of 30-100 prompts your customers actually ask in your category, run them through ChatGPT, Claude, Gemini and Perplexity programmatically, and store the structured response (which brands were mentioned, in which position, with what context) in a simple database. Track share of voice over time. Several tools (Profound, Peec, Otterly, AthenaHQ) automate this end-to-end - or you can roll your own with the OpenAI API and a cron job.
What's the difference between citation tracking and brand mention tracking?
Citation tracking measures whether the assistant explicitly attributes its answer to a URL on your domain (Perplexity and Bing Chat are the most generous with these). Brand mention tracking measures whether the assistant names your brand in the body of the answer, with or without a citation. Both matter - citations drive direct referral traffic, brand mentions drive recall and pipeline. The strongest GEO programs track both and report them as separate KPIs.
Can I see AI search referral traffic in Google Analytics?
Partially. ChatGPT-User and Perplexity now pass referrer headers in many cases, so you'll see chat.openai.com, chatgpt.com and perplexity.ai as referrers in GA4. Claude does not pass referrer headers reliably, and Gemini barely does either. The full attribution model has to combine GA4 referrers, server log analysis filtered by user agent, post-purchase 'where did you hear about us' surveys and brand search lift in Google Search Console as proxies for the gap.
How often should I run prompt tracking?
Weekly is the sweet spot for most brands. AI search results shift faster than classic SERPs - a model update or a new training cut can move share of voice noticeably from one week to the next. Daily is usually overkill (and expensive in API costs); monthly is too coarse to catch regressions before they bite. Weekly gives you fast feedback loops without burning budget.
What's the single most important metric to track?
Share of voice on the prompts your customers actually use. Not 'do I appear in any prompt ever' (a low bar) and not 'how many citations did I get this month' (a vanity metric without context). The right metric is: out of the 50 prompts that map to my buyer journey, in what percentage am I mentioned by name, and where do I rank against my top 3 competitors? That's the number that correlates with pipeline.