- Preis
- 85,37 €/Monat
- Du sparst
- 1.024,44 €/Jahr
- Bauzeit
- mehrere Tage
The tracking loop is genuinely weekend-buildable: send a fixed prompt set through four model APIs on a schedule, count brand and competitor mentions, normalize the citations, and parse your access logs for AI crawler and AI referral traffic. That gets you most of the dashboard for one brand. The gaps are the honest part. API answers are not the answers the ChatGPT app or Google AI Overviews actually serve, you cannot measure what real people ask AI, and a number with no history behind it tells you nothing on week one.
Der Moat
Ein Moat ist der Burggraben um ein Produkt: alles, was ein Nachbau nicht einfach mitkopieren kann, etwa Nutzer, Daten, Verträge oder Vertrauen. Je tiefer der Graben, desto eher lohnt sich das Abo trotz KI-Agent.Was Profound schwer vollständig ersetzbar macht
Eigene Daten
Indizes, Archive oder Live-Daten lassen sich nicht einfach nachbauen.
Integrationen
Viele Schnittstellen brauchen OAuth, Pflege und zuverlässige Synchronisierung.
Produktreife
Zuverlässigkeit und sauberer Feinschliff sparen dauerhaft Arbeit.
Der Prompt
Build me a local AI answer engine visibility tracker for one brand. Requirements: - Node 22, TypeScript, SQLite via better-sqlite3, a CLI, and a plain server-rendered dashboard. Local only, no accounts, no telemetry. - brand.json holds my brand name, aliases, domain, and competitor names. prompts.json holds up to 40 buyer questions. - `track run` sends every prompt through OpenAI, Anthropic, Gemini, and Perplexity with each provider's web search or grounding tool enabled. Keys live in .env. - Store one immutable row per run, prompt, and provider: raw answer, cited URLs, model id, latency, and error text. Never overwrite an existing run. - Cap concurrency at 3 per provider, retry twice on 429 and 5xx with backoff, and keep failed cells visible in the report instead of dropping them. - Detect brand and competitor mentions case-insensitively using the alias list, and record the first-mention character offset as a crude prominence proxy. - Score the sentiment of each brand mention in one cheap structured pass over stored answers, after the run, never inline. - Normalize citations to hostname plus canonical path, strip tracking parameters, then compute owned-domain citation share and a top 25 sources table. - `track serve` renders visibility per provider over time, share of voice against each competitor, the sources table, and the prompts where competitors appear and I do not. - `track crawlers --log access.log` parses server logs for GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended and friends, plus referral hits from chatgpt.com and perplexity.ai, and reports which URLs they touched. - Keep the bot user agent list in an editable JSON file. Log lines matching nothing get counted as unknown agents, not silently discarded. - `track export` writes runs, mentions, and citations to CSV. - Fixture tests for mention detection, URL normalization, and log parsing. - Out of scope: real consumer surface answers, prompt volume estimates, content generation agents, teams, and hosted scheduling. Do not scrape the consumer web UIs. - README: setup, per-run cost estimate, a cron line for daily runs, and a plain note that API answers only approximate what users actually see.
Lies, was Entscheider lesen.
Jeden Sonntag das Wichtigste aus der KI-Welt. Kompakt, verständlich, praxisnah. Schließe dich über 4.500 Lesern an.
100 % kostenlos. Jederzeit mit einem Klick abmeldbar.
Was du verlierst
- prompt volume data: what people actually ask AI is not measurable from outside
- the real consumer surfaces, since AI Overviews and the ChatGPT app have no API that matches what users see
- months of history and competitor baselines, without which a single week's visibility number means nothing
- upkeep as engines, crawler user agents, and citation formats keep changing
- the agent, recommendation, and product visibility layers stacked on top of the tracking
Warum Leute trotzdem zahlen
Because the tracking is the cheap half. Profound sells the two things a personal script cannot produce: prompt volume data drawn from real conversations, so you know which questions are worth ranking for at all, and a maintained panel across nine answer engines including the consumer surfaces with no usable API. Marketing teams also want a number somebody else vouches for before it goes in a board deck.
Für den Eigenbedarf reicht der Eigenbau oben meistens.
Die Zahlen
| Plan | Monatlich | Jährlich (pro Monat) | Enthalten |
|---|---|---|---|
| Starter | 85,37 € / workspace | n. a. | 1 seat; 50 prompts; 1,500 AI responses/month; daily refresh; 1 language/region; 100 agent credits; unlimited domains. |
| Growth | 344,08 € / workspace | n. a. | 3 seats; 100 prompts; 9,000 AI responses/month; daily refresh; 1 language/region; 400 agent credits; exports. |
| Enterprise | n. a. / workspace | n. a. | Custom seats, prompts, response volume, languages/regions, data access, security, and support. |
- Gratis-Version
- no free tier; a trial link is offered, but public duration and numeric caps were not verified
- Abrechnung
- monthly only on the public pricing page; no public annual rate
- Versteckte Kosten
- Agent usage can continue past included credits or be paused, but public per-credit overage pricing is not disclosed.
Geprüft am 04.08.2026 · Quelle · aus USD umgerechnet, der EUR-Preis beim Anbieter kann abweichen
Häufige Fragen
Preis, Nachbau und Ersparnis von Profound auf einen Blick.
Was kostet Profound?
Profound kostet im Plan „Starter" 85,37 € pro Monat (geprüft am 04.08.2026). Gratis-Version: no free tier; a trial link is offered, but public duration and numeric caps were not verified
Kann ich Profound mit KI selbst nachbauen?
Jein, Wochenendprojekt: The tracking loop is genuinely weekend-buildable: send a fixed prompt set through four model APIs on a schedule, count brand and competitor mentions, normalize the citations, and parse your access logs for AI crawler and AI referral traffic. That gets you most of the dashboard for one brand. The gaps are the honest part. API answers are not the answers the ChatGPT app or Google AI Overviews actually serve, you cannot measure what real people ask AI, and a number with no history behind it tells you nothing on week one.
Was verliere ich, wenn ich Profound ersetze?
Beim Eigenbau verzichtest du auf: prompt volume data: what people actually ask AI is not measurable from outside, the real consumer surfaces, since AI Overviews and the ChatGPT app have no API that matches what users see, months of history and competitor baselines, without which a single week's visibility number means nothing, upkeep as engines, crawler user agents, and citation formats keep changing, the agent, recommendation, and product visibility layers stacked on top of the tracking.
Wie viel spare ich, wenn ich Profound ersetze?
Das Abo kostet 85,37 € pro Monat — aufs Jahr gerechnet sparst du rund 1.024,44 €.
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