There's no easy way to know if ChatGPT, Perplexity, or Gemini are actually citing your pages in their responses, making it impossible to measure GEO efforts.
Monitor AI search engines for citations of your domain/pages and provide analytics on citation frequency, context, and queries that trigger citations.
Subscription - tiered by number of tracked domains/pages
Content teams investing in GEO literally cannot measure ROI without this. It's like doing SEO without Google Search Console. The pain signals are real and growing — marketers are flying blind on a channel that's eating into traditional search traffic. Deducted points because many teams haven't started GEO yet, so the pain is acute for early adopters but not yet universal.
TAM is essentially every company doing SEO today (~$80B+ SEO tools market), but the serviceable market right now is early-adopter content teams and SaaS companies doing GEO — probably 50K-200K potential customers globally in 2026. Growing rapidly as AI search adoption increases. Could be a $500M+ standalone market within 3-5 years.
SEO teams already pay $100-500/month for traditional tools. Citation tracking fills a clear gap in their stack. However, the value prop needs to be proven — teams won't pay until they see AI search driving meaningful traffic. Reddit pain signals and the existence of funded competitors (Otterly, Profound) validate WTP for early adopters. Risk: could become a free feature in existing SEO suites.
This is the hard part. Monitoring AI engine citations at scale requires either: (1) querying AI engines programmatically (violates most ToS, expensive, rate-limited), (2) building browser extension networks for crowdsourced data, or (3) partnering with AI providers for data access. No public API from ChatGPT/Perplexity for citation data. A solo dev can build a working prototype that queries a sample of prompts, but scaling to comprehensive coverage is an engineering and legal challenge. Competitors have raised funding specifically to solve this.
Direct competitors exist (Otterly, Profound, Peec AI) and incumbents are adding features (BrightEdge, Semrush). The gap is in page-level citation analytics with actionable insights — most tools track brand mentions, not specific page citations with query-trigger context. There's room for a focused, affordable tool, but the window is narrowing as both startups and incumbents are investing here.
Natural subscription product. Citation data is time-series by nature — users need ongoing monitoring, trend tracking, and alerts. High retention once integrated into workflows, similar to rank tracking tools. Monthly/annual subscription is the obvious model with strong expansion revenue as teams track more domains/pages.
- +Genuine, growing pain point with clear Reddit/community validation — GEO teams are flying blind
- +Natural subscription model with strong retention characteristics and expansion revenue
- +Market timing is excellent — early enough to build brand but late enough that demand is proven
- +Incumbents are slow to build dedicated solutions; their bolt-on features are underwhelming
- +Clear positioning opportunity: the 'Google Search Console for AI search' narrative is compelling and unclaimed
- !Technical moat is thin — querying AI engines at scale is legally gray (ToS violations) and expensive, and competitors with funding are already tackling this
- !Platform risk: OpenAI, Google, or Perplexity could launch their own publisher analytics dashboards (like Google Search Console) and kill the market overnight
- !Semrush/Ahrefs could ship a good-enough feature within 6-12 months that satisfies 80% of users
- !Data accuracy is hard to guarantee — AI responses are non-deterministic, so citation tracking has inherent noise that could erode trust
- !Solo dev MVP may not achieve the query coverage needed to deliver convincing value vs funded competitors
AI search analytics platform that tracks brand visibility across ChatGPT, Perplexity, Google AI Overviews, and other AI engines. Monitors how often and in what context your brand appears in AI-generated answers.
AI search monitoring tool that tracks how brands appear in AI-generated search results across ChatGPT, Perplexity, Gemini, and Claude. Provides sentiment analysis and competitive benchmarking.
AI visibility and citation tracking tool specifically designed for content marketers doing GEO. Monitors which of your pages get cited by AI assistants and in what contexts.
Enterprise SEO platform that added AI search visibility tracking as a module. Tracks brand presence in Google AI Overviews, ChatGPT browsing, and Perplexity.
Major SEO platforms that have started adding AI Overview tracking and AI search visibility metrics as add-on features to their existing suites.
Focus on ONE AI engine (Perplexity — most transparent about citations) and ONE use case (tracking which of your pages get cited and for which queries). Build a dashboard showing: citation count over time, which pages are cited most, sample queries that triggered citations, and simple alerts when citations spike or drop. Skip multi-engine coverage initially. Use a combination of Perplexity's relatively open API and strategic query sampling to build the dataset. Target SaaS content teams with 50-500 blog posts as the ideal early user.
Free tier: track 1 domain, 10 pages, Perplexity only → $29/mo Starter: 1 domain, 100 pages, weekly reports → $99/mo Pro: 3 domains, unlimited pages, multi-engine (add ChatGPT/Gemini), daily alerts, API access → $249/mo Team: 10 domains, competitive analysis, white-label reports → Enterprise: custom pricing with dedicated coverage and SLA
8-12 weeks to MVP with paying users. First 4 weeks: build Perplexity citation tracker + basic dashboard. Weeks 5-6: beta with 20-30 content marketers from Reddit/Twitter GEO communities. Weeks 7-8: iterate based on feedback. Weeks 9-12: launch paid plans. First dollar likely in month 3. Reaching $1K MRR in 4-6 months is realistic given the audience's willingness to try new GEO tools.
- “i track whether chatgpt actually cites my content”
- “no point optimizing content for llm citations if the llm can't even find your pages”
- “the AI search visibility piece is genuinely underappreciated”