Scavio for Brand Sentiment Monitoring Across Reddit and AI Answers

The Problem

Brand sentiment used to live in dashboards that read Twitter and news. In 2026 the conversation that matters moved to Reddit, and the answers buyers see moved into ChatGPT, Perplexity, and AI Overviews - both of which source heavily from Reddit and the SERP. r/MarketingAnalytics threads describe teams scripting Perplexity prompts into spreadsheets because no affordable tool tracks the source signal directly, and the honest verdict in those threads is blunt: no good tool yet, and the ones that exist cost a lot. The gap is that legacy social listening watches the wrong surfaces. A negative Reddit thread that climbs to the top of a niche subreddit will be feeding ChatGPT's answer about your brand long before a traditional monitoring tool flags anything. Reading the Reddit discussion and the SERP that AI engines cite, in one pipeline, catches reputation shifts weeks before they surface in an AI answer - and costs a flat credit rate instead of a per-prompt dashboard subscription. The build is straightforward: a list of brand and competitor queries, a daily run against the Reddit and Google endpoints, a stored sentiment snapshot, and an alert when mention volume or score crosses a threshold. It pairs naturally with a [share-of-voice tracker](/tutorials/track-brand-share-of-voice-llm) and the [LLM brand visibility tools](/best/best-llm-brand-visibility-tools-2026) comparison.

How Scavio Helps

• Reddit search endpoint returns threads and scores for any brand query (2 credits), so you can measure mention volume and sentiment in the place buyers actually speak freely, subreddit by subreddit
• Reddit post endpoint pulls a full comment tree (2 credits) so you can read the actual objections and praise, not just headline counts - the qualitative half sentiment dashboards flatten away
• Google endpoint with light_request:false surfaces the knowledge_graph, related_searches, and questions block - the SERP signal that feeds AI answer engines like ChatGPT and AI Overviews
• Reddit presence tends to precede AI-answer citations for the same topic, so a Reddit spike is an early warning the AI narrative is about to shift - weeks of lead time on a reputation problem
• One credit-based key ($0.005/credit, $30/mo for 7,000 credits) covers thousands of brand checks with no per-seat dashboard fee and no minimum commitment
• Same key extends to YouTube, Amazon, and TikTok, so product-review and creator-mention monitoring run from the same pipeline without a second vendor or a second invoice
• Structured JSON means you can pipe sentiment into your own warehouse, Slack alert, or weekly report rather than logging into someone else's UI to read it

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Reddit for "your brand name alternatives":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/reddit/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query, "sort": "new"},
)

data = response.json()
for post in data["data"].get("posts", [])[:5]:
    print(f"r/{post['subreddit']} — {post['title']}")
    print(f"   by u/{post['author']}")

Built for Marketing analysts, brand managers, growth teams, agencies, and founders tracking reputation across Reddit and AI search

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your brand sentiment monitoring across reddit and ai answers solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.