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geoscrope
See your site through the eyes of ChatGPT & Perplexity
EOScope audits any URL and tells you whether ChatGPT, Perplexity, and DeepSeek can read and cite your site. 8-dimension GEO scoring based on Princeton research (KDD'24). Built by a solo maker after his own product was invisible to AI search — GPTBot had been blocked in robots.txt for 3 months without realizing it. Features: AI crawler detection, llms.txt check, JSON-LD auto-generation, E-E-A-T audit, competitor comparison, 9-platform citation monitoring, and 30/60/90-day GEO roadmap.
Hey Product Hunt 👋
I'm the solo developer behind GEOScope. This tool exists because I needed it myself.
Background: I built pdfnoted.com (a browser-side PDF tool). Spent 3 months on SEO. Google rankings went up. Traffic didn't. I was confused until I searched my category in ChatGPT and realized — my product literally didn't exist in AI search results.
The reason was embarrassingly simple: my robots.txt had been blocking GPTBot for 3 months. Copied from some SEO tutorial without checking.
That's when I realized: there's Ahrefs for SEO, Semrush for SEO, a hundred tools for Google rankings — but zero tools to answer "what do AI search engines actually see on my page?"
So I built GEOScope.
How it works under the hood:
- Node.js + cheerio for page signals (with Playwright fallback for JS-rendered pages)
- DeepSeek for semantic analysis — evaluates intent alignment, content quality, E-E-A-T signals
- 8-dimension scoring engine aligned with Princeton's GEO paper (KDD'24, arXiv:2311.09735)
- All parallelized: 4 AI calls run simultaneously, full audit completes in ~15 seconds
What surprised me most while building this:
- ~40% of sites block AI crawlers without realizing it (default robots.txt templates are outdated)
- Most "good SEO" pages score under 30 on GEO because they lack JSON-LD and quotable opening paragraphs
- Keyword stuffing — the oldest SEO trick — is actually a negative signal for AI engines. Princeton proved it.
I'd love honest feedback from this community:
1. Run your own site through it — does the score feel accurate?
2. What's missing from the fix recommendations?
3. If you do SEO professionally, would you use the white-label report feature for clients?
The free tier is 5 audits/day — no catch, no signup wall.
I'll be here all day responding to every comment. Ask me anything about GEO, the tech stack, or what it's like building solo.
Thanks for checking it out 🚀
One stat that genuinely surprised me while building this:
Keyword stuffing — the oldest trick in SEO — is actually a NEGATIVE signal for AI engines. Princeton's GEO paper measured it: pages that cram keywords get cited LESS, not more. Old playbook, wrong game.
And the reverse is true too: ~40% of sites I've audited block AI crawlers without knowing it (copied robots.txt templates). The "good SEO" playbook is actively hurting people in the AI-search era.
For SaaS founders, there's one query that keeps me up at night: "best [your category] tools" — if your brand isn't in that AI answer, you're invisible to a whole segment of buyers who never click past it.
I've been running live audits from this thread — drop your URL and I'll post your breakdown (score + the 2-3 things blocking you from being cited). No signup, free tier is 5/day. Fair warning: the results are sometimes uncomfortable — one founder found his own homepage was blocking GPTBot for months without knowing it.
How the audit works under the hood: - Node.js + cheerio for page signals (Playwright fallback for JS-heavy single-page apps) - DeepSeek for the semantic layer — intent match, E-E-A-T signals, content quality - An 8-dimension scoring engine weighted by Princeton's GEO paper (KDD'24) effect sizes, not vibes - 4 parallel AI calls, ~15 seconds per audit
The fun part was building the citation monitor: it asks 8 AI engines (ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek, Kimi, Doubao) real questions about your brand and checks whether you show up in the answers. Currently tracking 8/9 engines on the homepage — live stats, 64+ scans today.
Happy to nerd out on the retrieval pipeline if anyone's curious.
About geoscrope on Product Hunt
“See your site through the eyes of ChatGPT & Perplexity”
geoscrope was submitted on Product Hunt and earned 4 upvotes and 4 comments, placing #98 on the daily leaderboard. EOScope audits any URL and tells you whether ChatGPT, Perplexity, and DeepSeek can read and cite your site. 8-dimension GEO scoring based on Princeton research (KDD'24). Built by a solo maker after his own product was invisible to AI search — GPTBot had been blocked in robots.txt for 3 months without realizing it. Features: AI crawler detection, llms.txt check, JSON-LD auto-generation, E-E-A-T audit, competitor comparison, 9-platform citation monitoring, and 30/60/90-day GEO roadmap.
geoscrope was featured in Productivity (658.2k followers), SEO (38k followers), Developer Tools (517.5k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 354.8k products, making this a competitive space to launch in.
Who hunted geoscrope?
geoscrope was hunted by hui tian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how geoscrope stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
hui tian