Prompt Tracking
Track the prompts that shape AI answers — and ship what wins the next mention
Discover high-intent questions, run them across the AI engines your buyers use, and watch how mentions and citations evolve. Organize prompts by theme and market, so product and content teams always know what to improve next.
Track prompts across languages and markets
Same intent, different locales—see how phrasing and competition shift when buyers ask in English, Spanish, German, or 150+ languages and markets.
Tracked prompts
150+ Countries
Topic analysis
Group prompts into themes—roll up performance, spot gaps, and report to stakeholders by product line or use case.
Prompt volume & ranking difficulty
At-a-glance demand signals—so you prioritize high-intent prompts that are still winnable.
Search volume
Relative demand for this intent.
Ranking difficulty
How hard it is to earn visibility for this prompt.
Prompt Research
Organize discovery by themes, accept AI-suggested angles, then drill into scored queries.
Research themes
Search and sort your library, then open a theme to generate and score candidate prompts.
| Theme | Prompts |
|---|---|
AI visibility for B2B SaaSBlind spot Commercial intent buyers comparing vendors in ChatGPT and Perplexity. | 18 |
Security certifications & complianceOpportunity SOC 2, ISO, and trust signals procurement teams ask about. | 12 |
Brand vs competitor comparisonsStrong Head-to-head prompts where share of voice is easy to measure. | 31 |
AI theme suggestions
Themes suggested from your domain, tracked prompts, and competitors—grouped by blind spots, opportunities, and strengths.
Topics you may be missing where competitors already show up in AI answers.
Vertical-specific buying guides
Your category has high-intent “best for ” queries you have not tracked yet.
Natural advantages you have on-site but weak AI citation coverage.
Implementation playbooks
Strong help content that could earn more mentions with prompt-aligned titles.
Themes where you already win—monitor for drift and new challengers.
Pricing & packaging FAQs
Consistent visibility; keep models citing your latest plans and add-ons.
Inside a theme: scored query candidates
Filter by intent, query type, and status—then promote the best lines to tracked prompts (like Prompt Research theme detail).
| Query | Intent | Type | Status | Volume | Difficulty |
|---|---|---|---|---|---|
| Best CRM for mid-market teams with Salesforce migration | Consider | Compare | Promising | ||
| How does pricing compare to HubSpot for 50 seats? | Purchase | Pricing | Worth testing |
Prompt analytics by platform
Switch between mentions, citations, and average position—same prompt, different behaviour on each assistant.
| Platform | Mention rate |
|---|---|
 ChatGPT | 82% |
 Perplexity | 71% |
 Gemini | 64% |
 Claude | 58% |
Competitor rankings for this prompt
Who gets mentioned, how often they’re cited, and share of voice—mirroring the brand rankings table on prompt detail.
| # | Brand | Mentions | Sources | Visibility |
|---|---|---|---|---|
| 1 |  Your brand | 142 | 38 | 34% |
| 2 |  HubSpot | 128 | 41 | 29% |
| 3 |  Pipedrive | 96 | 27 | 22% |
| 4 |  Semrush | 74 | 19 | 15% |
Slice every prompt the way your team works
Markets, models, topics, and competitors—filter and drill down without losing context.
Markets
AI models
ChatGPT
Google AIClaudePerplexityGemini
Grok
DeepSeek
CopilotTopics
Competitors
HubSpot29% vis.Pipedrive22% vis.Semrush15% vis.
Ahrefs12% vis.Discover and track the prompts buyers ask in AI search.Start with Mentionpath.
Group questions into themes with Prompt Research, score volume and difficulty, then promote winners to tracked prompts—run them across the engines your market uses and see mentions, citations, and rankings in one place.
Keyword lists and rank trackers weren’t built for AI prompt libraries
The questions buyers ask assistants are conversational, localized, and model-specific. Most SEO workflows still treat prompts like static keywords—not a living system you research, score, and run across engines.
| The gap | What it means |
|---|---|
| Search keywords aren’t the same as assistant prompts | Volume and difficulty for a keyword don’t capture natural phrasing, comparison questions, or multi-step buyer journeys—the kinds of lines people actually paste into ChatGPT, Gemini, or Perplexity. |
| Spreadsheets don’t version prompts across markets and models | The same commercial intent in another language or region is a different string—and performance shifts by assistant. Static lists in docs or slides won’t tell you what to run or retire next week. |
| Research, scoring, and tracked runs often sit in separate places | Teams brainstorm in one tool, export keywords from another, and only later check AI answers—without a single thread from “candidate prompt” to “what the model actually said.” |
| Demand signals without AI outcomes are incomplete | High search volume doesn’t show whether you get mentioned, cited, or outranked by a competitor inside generated answers—the outcomes that matter for prompt-led discovery. |
| You can’t prioritize from rankings alone | Blue-link position doesn’t explain share of voice on the prompts that matter across assistants. Without prompt-level runs, you’re guessing which content or sources to fix first. |
Who Mentionpath is for
B2B, ecommerce, local, and agency teams all need a real prompt library—not a keyword dump. Pick a profile to see how we combine research, scoring, multi-engine runs, and outcomes for prompt tracking.
Prompts in rotation
150+ languages & markets
How Mentionpath compares
A concise view of how classic SEO suites and AI-native tools cover keywords versus full prompt workflows—and where Mentionpath ties research, runs, and outcomes together.
| Capability | | |  |  |  |
|---|---|---|---|---|---|
| Core workflow centers on AI answers, not only SERP positions | — | — | |||
| Surfaces which domains and pages models lean on for citations | Limited | Limited | |||
| Turns visibility gaps into prompt- and content-level next steps | — | — | Limited | — | |
| First-class multi-brand or multi-client workspaces | — | — | |||
| AI engines tracked (Entry plans) | |||||
| Content generation for AI | Limited | Limited | — | — | |
| Technical audits | — | — | |||
| GA4 / GSC integration | — | Limited | Limited |
Ahrefs and Semrush excel at classic SEO. Profound and Peec.ai help monitor AI search. Mentionpath is built for prompt libraries, Prompt Research, multi-engine runs, and connecting answers to mentions, citations, and next actions in one workspace.
Frequently asked questions
Quick answers about tracking prompts, Prompt Research, and how Mentionpath runs them across AI engines.
What is prompt tracking in Mentionpath?
How does Prompt Research relate to tracked prompts?
Can I run the same prompt across multiple AI engines?
What do volume and difficulty scores help me prioritize?
Can I organize prompts by topic, market, or client?
Can I track custom prompts?
How often are prompts updated?
Can I benchmark competitors?
Ready to own the prompts that drive AI discovery?
Research themes, score candidates, run prompts across engines, and promote winners to tracking—then iterate with mentions, citations, and rankings in one Mentionpath workspace.