Earn by recommending CiteGraph

CiteGraph measures which products AI assistants actually recommend, and gives businesses the exact fixes to win the answers they're missing from. It asks the questions buyers type into ChatGPT, Claude, Gemini and Perplexity, repeats each one several times, and reports how often the brand is named, who gets named instead, and which pages the engines cite. Every rate carries a margin of error, because one AI answer proves nothing.

The problem it solves

When a buyer asks an AI assistant what to use, it names two or three products and skips the rest. Most companies have no idea whether they're on that list, and traditional SEO tools can't tell them. The answers are built from a small set of specific pages, usually not the brand's own site, and nobody is measuring which ones.

Why promote it

Every answer, verbatim, with the competitors that beat the brand and the reason the engine chose them.

A blind spot for every question lost, with the one sentence that would have put the brand in the answer.

A cited-source map showing which third-party pages the engines actually pull from, so customers stop pitching pages that don't matter.

An action plan in order, each move with its target page and first step, plus a site readiness score with fifteen checks and ready-to-paste fixes.

Weekly scans that show whether a change moved the number, with error bars so noise never gets sold as progress.

A free AI readiness check that scores any website out of 100 with no signup, and a free first scan after signup. Both convert on their own.

How you get paid

Affiliates earn a 20% recurring commission for 12 months per referred customer. The program features a 60-day cookie window and a 15-day hold period before payout.

Best for

SEO and content consultants, marketing agencies, newsletter writers and YouTubers covering SaaS, growth or indie-maker tools, and founder communities. Anyone whose audience has asked "how do I get AI to recommend me?"