Prompt Tracking SEO Software

Prompt tracking is the practice of monitoring how — and how often — your brand appears inside the answers generated by AI models like ChatGPT, Claude and Gemini. Instead of measuring your position on a Google results page, prompt tracking captures the LLM's actual output: whether your brand is mentioned, in what position relative to competitors, with what sentiment, alongside which citations, and for which prompts. It's the measurement layer of GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization), and the only reliable way to know whether the AI ecosystem is recommending you to buyers.

Traditional rank tracking measures your position on a search engine results page while prompt tracking measures how and how often your brand appears inside AI-generated answers. A Google ranking is a single, deterministic position, while an LLM response is generative text where your brand may be mentioned once, multiple times or not at all. That answer can also change by model, country and prompt phrasing. Both signals now matter, but they require different tools to measure.

Most SEO platforms bolt AI visibility on as an afterthought. They often offer single "AI mentions" counts with no competitor breakdown, no sentiment, and no historical data. SEOcrawl tracks Share of Voice, citations, sentiment and topic coverage per LLM (ChatGPT, Claude, Gemini), per country, and over time so you can see the trend as a whole. Compared to manual tracking, it eliminates the hours spent running prompts by hand and delivers consistent, comparable data across every model and market in one dashboard.

SEOcrawl tracks the three LLMs that drive almost all AI search demand today — ChatGPT, Claude and Gemini — with additional models added on a rolling basis. Each model is queried independently from the country and language you configure, so a US user on ChatGPT and a French user on Gemini are tracked as two separate surfaces with their own Share of Voice, citations and sentiment. We refresh the model versions as providers release new ones, so you never measure on a stale snapshot.

Every prompt run records every brand mentioned in the response — yours and your competitors'. Share of Voice is then calculated as the percentage of total brand mentions across your prompt set that go to you, broken down per LLM (ChatGPT, Claude, Gemini), per country and per topic cluster. You'll see who outranks you on each individual prompt, the gap in absolute mentions, and how the curve has moved week over week — so you can correlate it directly with the content, PR or product moves that should be lifting it.

The five metrics that matter for AI visibility are: Mention rate (the share of tracked prompts that mention your brand at all), Share of Voice (your share of total brand mentions vs. competitors), Citation rate (how often LLMs link to your own domain when they answer prompts in your category), Sentiment mix (the ratio of positive, neutral and negative mentions) and Topic coverage (which subtopics of your category you appear in vs. which competitors own). SEOcrawl reports all five per LLM and per country, so you can spot whether you're losing ground in a specific market or model rather than only at the aggregate level.

Yes. Prompt Tracking captures every citation URL the model returns alongside a brand mention — so you can see whether ChatGPT, Claude or Gemini are pulling content from your own domain, your blog, third-party reviews or competitor pages. The Cited Domains report ranks the sources LLMs trust most for the prompts you care about, which is the foundation of any link-building or GEO strategy targeted at AI search.

Yes. For every mention, we tag the surrounding sentiment (positive, neutral or negative) and the topics the LLM associates with your brand — pricing, features, use cases, comparisons against alternatives, and so on. That way you see not only that ChatGPT, Claude or Gemini recommend you, but in what context, and you can react quickly when a competitor starts owning a topic where you used to lead. Sentiment and topic trends are tracked over time so you can correlate them with content launches, PR moves or product changes.

It's the measurement layer of both. Generative Engine Optimization (GEO) is the practice of optimizing your content so generative models — ChatGPT, Claude, Gemini — recommend or cite your brand inside their answers. Answer Engine Optimization (AEO) is the closely related discipline of being chosen as the source of the answer itself. Both shift the goal from "rank #1 on Google" to "be the brand the AI recommends". Prompt Tracking provides the ground truth those disciplines need: for every prompt, are you mentioned, in what position, with what sentiment, against which competitors? Without that data, any GEO or AEO programme is guesswork — you cannot optimize what you do not measure.

You can define prompts manually — the questions your buyers actually ask ("best CRM for startups", "AI SEO platform 2026", "alternatives to Semrush") — or import suggestions from your seed keywords and competitor research. Each prompt is configured per LLM, per country and per language, so a US user asking ChatGPT in English and a French user asking Gemini in French are tracked as two independent surfaces. Prompts run on a daily, weekly or monthly cadence depending on your plan, with full historical data so you can compare any two dates side by side. Most teams start with 20–50 high-intent prompts and expand once they see which ones drive real mentions.

Prompt tracking turns AI visibility into a closed loop. First, identify the prompts where you are missing or out-ranked — that is your gap map. Second, look at the Cited Domains report to find the third-party sources the LLMs trust for those prompts (review sites, comparison guides, niche publications): those are the placements and link-building targets that actually move the needle. Third, build content on your own domain that directly answers the prompt patterns we surface, since LLMs disproportionately cite well-structured, factual pages. Finally, re-run the prompts and watch Share of Voice, sentiment and citation rate move — the feedback signal you simply do not get from traditional SEO tools.