Weekly digest of threads AI cites for your brand

What to build

A weekly email digest tool called CiteScout for small SaaS and DTC brands that monitors which Reddit threads, YouTube videos, and forum posts AI answer engines (Perplexity, ChatGPT) cite when answering buyer-intent questions in a given niche, and flags what content is missing from each cited source so the brand knows exactly where to post a reply or comment.

Existing AEO/GEO visibility trackers tell brands their AI-citation score but not what to do next; CiteScout closes that gap with a weekly email naming the specific threads to engage and the content gaps in each.

Demand

Small SaaS and DTC brands already paying for AEO/GEO visibility tools want a concrete next action, not just a score, and a solo builder flagged this exact frustration while validating the idea pre-build.

• r/microsaasOther

  Reddit post 'Validating a micro SaaS before writing the backend: weekly email of the threads AI cites for your niche' — author spent several evenings validating the CiteScout concept before building

• Signal author (micro SaaS validation post)Opinion

  Author describes validating a weekly-email concept before writing backend code, targeting brands that track AI answer engine citations but lack actionable guidance

• Opportunity descriptionOther

  Target customer profile defined as small SaaS and DTC brands already paying for AEO/GEO visibility trackers who are frustrated with score-only outputs

Stack

• Perplexity API
• OpenAI API
• Reddit API (PRAW)
• YouTube Data API
• Resend (email delivery)
• Supabase (storage + cron jobs)

Solo + AI difficulty

The email send, scheduling, and niche/question config are straightforward with AI-assisted coding and could ship in 1-2 weeks; the hard part is reliably extracting which sources each AI engine actually cited per query at scale, since none expose a stable citation API and scraping or prompt-based extraction will need ongoing maintenance as providers change their UI or response format.

Entry threshold

Low capital barrier: a solo builder can ship an MVP with Next.js, Supabase and the Perplexity Sonar API in days to a couple of weeks; main risks are Perplexity API cost/rate limits at scale and dependence on a single data source for citations.

Window

6-12 months

Where to find first users

• r/microsaas
• r/SaaS
• Indie Hackers
• Product Hunt launch
• cold outreach to existing AEO/GEO tool customers via LinkedIn

Counter-signals & risks

• AEO/GEO visibility tracker incumbents could add an 'actionable next step' feature themselves, eliminating the need for a standalone digest product.

• Scraping and reliably attributing which sources Perplexity/ChatGPT cite for specific buyer questions at scale may be technically fragile or against platform terms, risking data reliability or access.

• The niche of brands paying for AEO/GEO tools is still small and early-stage, so total addressable market may be too limited to validate a standalone SaaS.

• No historical match and an unverified score (0.62) suggest this is an untested, single-source hypothesis rather than a confirmed market trend.