What it looks like
Both sample reports come from the fictional demo companies that ship with the repo, so you can reproduce every page yourself before adding a single API key.
See where your product stands, who is winning its buyers, and what to do about it
View on GitHub Sample report 1 (PDF) Sample report 2 (PDF) All capabilities
Both sample reports come from the fictional demo companies that ship with the repo, so you can reproduce every page yourself before adding a single API key.
Give it a website. Yours, a client's, or a competitor's.
Free to download and run. The demo report costs nothing and needs no accounts. A real scan of a company plus eight competitors costs about one to two dollars in API credit.
| Account | What it powers | Cost |
|---|---|---|
| DataForSEO | rankings, keywords, backlinks, AI answers, reviews, ads, speed tests | pay as you go, $1 to $2 per full scan |
| OpenRouter | reputation themes and cited live research | optional, cents |
| Apify | social following and public profile data | optional, free tier |
| PredictLeads, Open PageRank, Moz | funding signals and authority cross-checks | optional, free tiers |
The report is one part of a larger kit. There are 33 skills and 8 workflows covering keyword research, comparison pages, programmatic SEO, growth proposals and recurring client reports. See everything it can do.
Working inside Claude Code, Codex, or another agent harness? Clone the repo and read CLAUDE.md for routing. The skills register automatically, every tool is plain stdlib Python with flags an agent can call directly, and a machine-readable summary lives at llms.txt. The capabilities page lists every skill, workflow and report section in one place.
It checks how visible a company is across classic search and AI answers. Rankings, backlinks, traffic share, reviews, ads, social reach, site speed, and whether ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews recommend the brand or its competitors.
Yes. It builds a keyword and greenfield map scored by real search demand, how hard each term is to rank for, and how well it fits the business. It flags the terms competitors already rank for that the company does not, then ranks the wide-open, winnable ones first, the demand nobody has claimed yet.
A full read on what each rival is doing. The pages winning them the most traffic, their funding and hiring activity, their live Google Ads count, where their backlinks come from, and the complaint that keeps showing up in their reviews, the exact weak point a comparison page or an outreach email can target.
The software is free and MIT licensed. The demo report renders with no accounts at all. A real scan of one company plus about eight competitors costs one to two dollars in pay-as-you-go API credit.
GEO stands for generative engine optimization, the practice of making a brand visible and citable inside AI answers. It is the AI-era counterpart to SEO, and this engine measures both.
The point is a plan, not just a score. The closing section turns every gap into a sequenced set of moves, which keyword clusters to build first, which AI answers to chase, which links to go after, ranked by how much demand sits behind each one and how winnable it actually is right now.
Often, yes. Press coverage that never turned into an actual link. A competitor's backlink count inflated by low-quality directories rather than real authority. A strong rating sitting on almost no reviews. These are the small, easy-to-miss findings that tend to become the fastest wins for growing a company's digital presence.
Yes. Email your website to namaste@prashish.xyz and the first scan comes back as soon as possible.
Clone the repo, add your keys, and the whole practice is yours. The skills, the report pipeline, and the playbooks that explain the methodology behind each one. MIT licensed, used in production, provided as-is.
Want this report for your company without touching a terminal? Email me your website and I will send the first scan back as soon as possible.