Profound tryprofound.com

Can AI replace Profound?

Q: Can AI replace Profound?

Half-bot. 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.

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.

Verdict: Half-bot · AI gets you partway; the hard part stays hardBuild time: multi-day

Half-bot

01What it costs

$99/moStarter, monthly, billed yearly (2 months free)

$1,188per year at that price

Checked Aug 14, 2026 · source: tryprofound.com.

Plan	Monthly	Billed yearly	What you get
Starter	$99	—	1 seat; 50 prompts; 1,500 AI responses/month; daily refresh; 1 language/region; 100 agent credits; unlimited domains.
Growth	$399	—	3 seats; 100 prompts; 9,000 AI responses/month; daily refresh; 1 language/region; 400 agent credits; exports.
Enterprise	—	—	Custom seats, prompts, response volume, languages/regions, data access, security, and support.

Hidden costs: Agent usage can continue past included credits or be paused, but public per-credit overage pricing is not disclosed.

02Could AI build it for you?

The core job: Run a fixed prompt set daily through the answer engine APIs, score brand and competitor mentions plus cited sources, and parse server logs for AI crawler and AI referral traffic.

What a working version needs:

OpenAI, Anthropic, Gemini, and Perplexity API keys
each provider's web search or grounding tool
server access logs
durable per-run storage
a scheduler for daily runs
an API budget that scales with prompts x engines x days

The dashboard is a weekend project. The prompt volume dataset behind it is not.

03What you'd give up

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

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.

04Free and cheaper alternatives

Elmoopen-source

A real self-hosted AI visibility dashboard; crawler-log analysis is the conspicuous thing it does not replace.

elmohq.com →

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version.

prompt.txt

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.

06Open-source starting points

Elmo: MIT-licensed self-hosted AEO/GEO tracker: runs your prompts across the major answer engines and records mentions, competitors, and cited sources
llm-brand-tracker: Small research-grade toolkit for monitoring brand visibility in LLM search; useful as a starting point, last commit mid-2025

Sponsor slot · openFeatured alternative to Profound. A labeled card for one relevant tool.

Book this spot →

App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.

01What it costs

02Could AI build it for you?

03What you'd give up

04Free and cheaper alternatives

05The build prompt

06Open-source starting points

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