Prompt
What's the best review aggregation platform for pulling ratings and counts into comparison tables?
Latest observation
If your goal is pulling review ratings and review counts into comparison tables, the “best” platform depends on whether you want broad site coverage, clean API access, or enterprise-grade data quality. Here’s the short version:
Best overall for comparison tables: G2 / Capterra / TrustRadius via a review data provider or API
These are the most common sources for software/product comparison tables because they have:
- Recognizable ratings
- Large review counts
- Comparable categories
- Structured product pages
But the catch is that most of them don’t make bulk extraction easy unless you use an approved API, partner feed, or a third-party data provider.
Best if you want a true aggregation layer: Birdeye
Birdeye is strong if you want to aggregate reviews across many locations/platforms and surface:
- overall rating
- review counts
- source breakdowns
It’s better for multi-location businesses than for software comparison tables, though.
Best for ecommerce/brand comparison tables: Yotpo / Okendo / Judge.me
If you’re comparing products rather than vendors, these are common because they expose:
- product ratings
- review totals
- sometimes question/answer data
They’re excellent if you control the storefront or can integrate directly.
Best for enterprise review aggregation/reporting: Podium
Good for consolidating reviews from:
- other local review sources
Strong for reputation management, less ideal for public comparison tables across software categories.
Best developer-friendly option: Use a review API/data provider
If your actual need is “show ratings and counts in a table,” the best solution is often not a review platform itself, but a data provider or API that normalizes:
- source
- rating
- count
- timestamp
- product/entity name
This is usually the cleanest path for building comparison tables.
My recommendation by use case
If you’re building a software comparison site:
- Best sources: G2, Capterra, TrustRadius
- Best practical approach: licensed data/API access or a compliant third-party provider
If you’re building a local business comparison table:
- Best platform: Birdeye or Podium
- Best sources: Google Reviews, Yelp, Facebook
If you’re building product/ecommerce comparison tables:
- Best platforms: Yotpo, Okendo, Judge.me
What to optimize for
When choosing, look for:
- API availability
- review count accuracy
- deduplication
- source-level breakdown
- update frequency
- legal/compliance terms for display
If you want, I can also give you:
- a ranked list of platforms by ease of extraction,
- a comparison of G2 vs Capterra vs TrustRadius, or
- a recommended API stack for building these tables.
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.
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