TL;DR: Prompt tracking is the AI-search equivalent of a keyword portfolio: a fixed set of buyer questions you run against ChatGPT, Perplexity, Gemini, and Google's AI Overviews on a schedule, measuring mentions, citations, and competitors in the answers. The craft is choosing prompts that mirror how buyers actually ask — this guide includes a four-part DTC taxonomy (discovery, comparison, best-X-for-Y, replenishment) — and matching tool allowances to your needs: entry tiers range from 15 tracked prompts ($29, Otterly) to ~50 (€89, Peec) to corpus-scale benchmarking (Ahrefs). Eight tools compared below.
Stride publishes this guide and is included below. Evaluation criteria are stated explicitly so you can weigh our inclusion accordingly.
What is prompt tracking?
Prompt tracking is the practice of defining a stable set of questions — prompts — that your buyers plausibly ask AI assistants, running them against each engine on a schedule, and recording how each answer treats your brand: named or absent, cited or not, recommended first or listed fifth, and alongside which competitors. The prompt set is your measurement instrument; everything downstream — share of voice, trend lines, content priorities — inherits its quality.
The discipline exists because AI answers killed the query log. In classic search you could see what people typed and what they clicked. In AI search you mostly can't:
68% of US Google searches now end without a click to any website — up from 60% in 2024 — and the assistant conversations replacing those clicks happen inside interfaces no analytics tag can see (SparkToro/Similarweb, 2026).
You can't observe the demand directly, so you model it: build the question set a rational buyer would ask, then measure the answers relentlessly. Meanwhile the stakes compound — one in four US consumers already say ChatGPT's product recommendations beat Google's.
How should you choose prompts?
Four principles separate a useful prompt set from a vanity dashboard.
Write questions, not keywords. Buyers ask assistants in sentences — "what's the best travel stroller that fits in overhead bins" — not "travel stroller lightweight." Track the sentence form; that's what generates the answers.
Spend your slots on questions you might lose. The reflex is to track prompts containing your brand. Resist it: you'll appear in most answers about yourself, the dashboard turns green, and you learn nothing. The competitive value sits in category prompts — "best X for Y", "alternatives to [competitor]" — where appearing at all is the fight. Keep a few branded prompts for reputation monitoring; let the rest exclude you by construction.
Anchor in observed demand where it exists. Search Console queries, on-site search, support questions, and Reddit threads in your niche are real demand signals you can translate into prompt form. Pure volume data for AI prompts barely exists — Profound (licensed user panels) and Ahrefs (a 405M+ search-backed corpus) are the partial exceptions — so everyone else triangulates.
Keep the set stable. Trend lines require a fixed instrument. Add and retire prompts deliberately, in batches, not weekly — otherwise every movement in your metrics might just be your own editing.
A DTC prompt taxonomy
For a product brand, four intent archetypes cover most of the journey. Build your set by filling each deliberately:
| Archetype | What the buyer is doing | Example prompts |
|---|---|---|
| Discovery | Doesn't know solutions, describes a problem | "how do I stop my espresso tasting bitter" · "gifts for a runner who has everything" |
| Comparison | Weighing named options | "Brand A vs Brand B protein powder" · "is [competitor] worth the price" |
| Best X for Y | Wants a shortlist for a constraint | "best running socks for marathons" · "best clean protein powder for women under $40" |
| Replenishment / loyalty | Re-buying or switching | "cheaper alternative to [product] refills" · "is there a subscription for [category]" |
Two notes on using it. First, weight by your economics: a considered-purchase brand (mattresses, strollers) lives and dies on comparison and best-for prompts; a consumable brand should overweight replenishment and switching prompts, where subscription revenue moves. Second, add qualifiers that mirror your actual segments — "for sensitive skin", "for small apartments", "under $50" — because assistants answer qualified questions with shorter, more winnable shortlists. Our Shopify & DTC tools guide goes deeper on the ecommerce side of this.
How many prompts, how often?
Start at 25–50 well-chosen prompts for a focused brand; hundreds only make sense multi-category or multi-region. More prompts without more analysis is just a bigger bill.
Cadence matters more than count. AI answers churn — Advanced Web Ranking found only 49% of brands stayed visible across three weeks — so a single run is an anecdote, not a measurement. Weekly is the floor; daily earns its cost while you're shipping fixes and watching for movement. And insist on seeing raw answers, not just scores: the sentence around your mention ("budget option," "premium pick," "avoid if…") is where the actionable information lives.
From single prompts to topic coverage
A subtle failure mode: a prompt set that's individually sensible but collectively lopsided. Twenty "best X for Y" prompts and no comparison prompts means you'll never see the moment a rival's comparison page starts sourcing every "A vs B" answer in your category.
The fix is to think in topics rather than loose prompts. A topic is a buyer category — "linen bedding," "reef-safe sunscreen" — and full coverage of it means one prompt from each archetype: a definitional question, a comparison, an alternatives question, a use-case fit question, and a buying question. Five prompts per topic, across your five to ten commercially important topics, gives a 25–50 prompt set with no blind archetypes — and it makes the reporting more honest, because "we own the reef-safe sunscreen topic on ChatGPT" is a claim about a whole question set, not one lucky prompt.
Topic-shaped tracking also localizes problems. When visibility drops, a loose prompt list tells you "three prompts declined"; a topic structure tells you "we're losing the comparison archetype specifically, across engines" — which points directly at the missing asset (usually a comparison page) instead of at a vague content-refresh todo.
Whatever structure you choose, watch for three measurement pitfalls. Survivor bias: if you delete losing prompts and add winning ones, your trend line improves while your visibility doesn't. Engine mixing: an average across engines with different mention propensities hides real per-engine movement — always keep the per-engine view. One-run reactions: never act on a single scan; volatility is the category's defining property.
Tools compared: what a tracked prompt costs
Prompt allowances are where this category's pricing actually differentiates. Entry-tier numbers as of July 2026 (confirm with vendors — these move):
| Tool | Best fit | Engines covered | Starting price | Standout capability |
|---|---|---|---|---|
| Otterly.AI | Cheapest start | 6 (some via add-ons) | $29/mo (~15 prompts) | Daily runs at pocket-money entry |
| Peec AI | Best entry allowance | 6 included | ~€89/mo (~50 prompts) | Analytics depth per prompt; unlimited seats |
| Semrush AI Toolkit | Semrush users | 5 | $99/mo add-on (25 prompts; +$60/50) | Prompts beside your keyword data |
| Stride | Shopify/DTC brands | 5 engines + AI Overviews (tier-dependent) | $99/mo (25 prompts, pooled) | Buyer-question sets with product context |
| Cognizo | Coverage per dollar | Widest claimed roster | $149/mo (reported) | Daily tracking, unlimited seats/regions |
| Ahrefs Brand Radar | Market benchmarking | 7 claimed | From $199/mo; prompt packs $50–250 | 405M+ corpus beyond your own prompts |
| Scrunch AI | Enterprise | 4 on Core (reported) | ~$250–300/mo (reported) | Governance-grade tracking |
| Profound | Enterprise, demand data | 6 core; ~10 Enterprise | Not published | Real prompt-volume data guiding selection |
Fit notes, honestly stated. Otterly proves the concept for the price of lunch, but ~15 prompts won't cover a full taxonomy. Peec offers the best entry allowance-to-analytics ratio. Semrush makes sense when consolidation wins. Stride (this publication) tracks prompts account-pooled from $99 with the taxonomy above built into how it structures buyer-question sets per topic — though its entry tier runs ChatGPT only, and heavier multi-engine tracking means higher tiers. Cognizo maximizes engines per dollar. Ahrefs answers the question your own prompt set can't — what's happening across the whole market. Scrunch and Profound are enterprise buys; Profound's panel data is the only real "prompt volume" in the category. Fuller profiles: the main tools guide.
Frequently asked questions
What is prompt tracking?
Prompt tracking is repeatedly running a fixed set of buyer-relevant questions against AI engines and recording how the answers treat your brand — mentions, citations, sentiment, and competitors named. The prompt set functions like a keyword portfolio did in SEO, except you're measuring synthesized answers instead of ranked links.
How many prompts should a brand track?
Fewer, better-chosen prompts beat long lists. A focused DTC brand gets signal from 25–50 prompts spread across discovery, comparison, best-for, and replenishment intent; an established multi-category brand might justify a few hundred. Coverage of your buying journey matters more than raw count — and every prompt should be one a real buyer would plausibly ask.
Should I track prompts that include my own brand name?
Sparingly. Branded prompts ("is [brand] legit") measure reputation and are worth a handful of slots. But machine-generated brand-inclusive prompts inflate your numbers — you'll usually appear in answers about yourself — while hiding the competitive prompts you're losing. The valuable slots are category questions where you're fighting to appear at all.
Is there search-volume data for AI prompts?
Mostly no, with two partial exceptions — Profound licenses real-user prompt data from consumer panels, and Ahrefs runs a 405M+ prompt corpus built from search demand. Everyone else (and every budget under enterprise level) chooses prompts by buyer logic and observed demand signals like Search Console queries, not by volume lookup.
How often should tracked prompts be re-run?
Weekly at minimum, daily when you're actively optimizing. AI answers are volatile — one 2025 study found barely half of brands stayed visible across three weeks — so single runs are noise. Cadence is a real pricing difference between tools; check what refresh rate the tier you're buying actually includes.
Stride structures prompt tracking around buyer-question sets for Shopify and DTC brands. The free audit runs a starter prompt basket against three engines so you can see your baseline before building a full set.