Build vs buy: AI visibility tracking infrastructure
Every team building an AI-visibility product hits the same fork: collect the answers ourselves, or pay an API. Here’s the honest accounting.
What “we’ll just scrape it” actually means
A production collector for consumer AI products is not a scraper — it’s a browser fleet:
- Real sessions. These answers only exist inside logged-in consumer apps. You’re running real browsers, maintaining session state, and absorbing rate limits.
- Parsing that drifts. The consumer UIs change their DOM constantly. Each engine needs its own parser, fixtures, and someone who notices when a layout change silently drops
sources. - Geo coverage. Country- and state-level answers mean egress from those locations — residential or ISP-grade proxies, not a datacenter IP.
- Queueing and retries. A prompt set of 5,000 × 8 engines × 10 markets is 400k runs. Partial failures are the norm; you need idempotent retries and result storage.
- Per-engine everything. ChatGPT’s capture looks nothing like Perplexity’s or Google’s. Each one is a separate maintenance contract with yourself.
A conservative estimate: a senior engineer’s quarter to reach “mostly works on ChatGPT”, then ongoing maintenance forever. That’s before the second engine.
What buying looks like
One POST per prompt. Structured JSON back — text, markdown, sources[], searchQueries[], entities[], commerce cards. Async batches with webhooks for volume. Per-call credit pricing, published. Failed requests uncharged.
The break-even isn’t the API bill — it’s the engineer-months. If your product is the analysis of AI answers, spending your head start rebuilding the collection layer is how you ship six months late.
The honest boundary
Buying makes sense when the data is an input to your product. It makes less sense when the collection itself is your product, or when you need fields no provider returns (then you’re building anyway — just scope it to the one engine that matters first).
If you want to compare directly: run your ten hardest prompts through the free tier — 500 credits a month, no card — and look at the responses side by side with what your pipeline produces today. Quickstart gets you to the first answer in a few minutes.