We kept watching the same wall: SEO tools built for analysts, used by robots

Something odd kept happening before we built TalorData.

We'd talk to teams running SEO platforms — solid businesses, thousands of users. Their backend looked the same everywhere: a keyword database, a scheduled crawler pulling rankings every few hours, dashboards rendered on top. Built for a human analyst who checks numbers once a morning.

Then their users started typing questions into a chat box.

"Why did my article lose rankings this week?" "Which competitor just jumped above me for this keyword?"

And suddenly their architecture fell apart. The LLM behind their shiny AI feature couldn't pull an answer from a database last refreshed six hours ago, and couldn't parse raw HTML anyway. The data layer was built for reporting; the product had become a conversation.

That gap is why we built TalorData — a real-time SERP API that returns structured JSON from Google, Bing, Yandex, and DuckDuckGo. No proxy pools, no CAPTCHA solving, no headless browsers on the customer's side. p90 under 0.8s, flat $0.25 per 1,000 responses, 500 free credits on signup so devs can benchmark before paying.

The honest part: we don't replace DataForSEO-class providers for everyone. If you need historical keyword volumes, backlink indexes, bulk rank tracking across 100k domains — those databases took a decade to build and they're still the right tool. We're going after the newer workload: agents, RAG pipelines, and monitoring tools where the "consumer" of search results is a model, not a person scrolling a dashboard.

The broader lesson for anyone building infrastructure: watch for the moment the consumer of your data changes. Ours changed from human analysts to machines. When that happens, everything downstream — freshness requirements, output format, acceptable latency, even pricing model — has to be re-decided from zero. Incumbents rarely do it fast, because their existing customers haven't asked yet.

If you're wiring live search into something, come benchmark us: https://talordata.com