Prompt
I'm unhappy with Diffbot because the structured output is inconsistent
Latest observation
That’s a fair complaint — inconsistent structured output can make a data pipeline painful.
If you want, I can help you compare alternatives or design a more reliable extraction workflow. Common options depend on what you’re extracting:
- Web pages / articles: browser-based extraction with rules + fallback LLM parsing
- Product pages / ecommerce: schema-aware scrapers or feeds
- Documents / PDFs: OCR + layout extraction
- General webpages at scale: custom crawler + deterministic parsers + validation
A few ways to reduce inconsistency, regardless of tool:
-
Define a strict schema
Enforce required fields, types, and enums. -
Add validation and normalization
Reject or repair outputs that don’t match expectations. -
Use a hybrid approach
Deterministic extraction first, then LLM only for missing/ambiguous fields. -
Track confidence scores
Route low-confidence records to review or secondary extraction. -
Build regression tests
Keep a set of representative pages to compare output consistency over time.
If you’d like, I can help you with one of these next steps:
- recommend better alternatives to Diffbot
- design a more consistent extraction pipeline
- draft a schema/validation layer for your current output
- help diagnose why Diffbot output is drifting on your pages
Brands
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.