Use a focused AI search baseline when a broad AI CMO is too generic.
Okara-style AI CMO products make marketing feel active. CiteRank narrows that idea to one expensive problem: finding where AI search recommends competitors, which sources support them, and what your team should fix first.
first-month baseline with raw answer evidence
rechecks and next steps after the baseline
buyer questions across AI answer engines
CiteRank sells evidence and next actions for AI search visibility. It does not pretend to replace every marketing channel.
Browser-based 3D generation for images, product photos, printable STL files, and GLB export.
Reddit and neutral tool directories are highest leverage.
Add Organization, FAQPage, and SoftwareApplication schema.
Image to STL and Shopify GLB questions need stronger answers.
Draft a page that explains why ChatGPT sends users to Image3D.
I found 3 places where competitors have supporting sources that Image3D does not have yet. Start with the neutral STL directories.
Send one real AI search question first, then decide whether the $99 baseline is worth it.
Many teams do not need a vague GEO pitch. They need one buyer question checked. Send your website, the question, and the competitors you keep seeing, and we can judge whether the CiteRank baseline fits.
No full brief required.
Scope from a real domain.
Buy, wait, or fix first.
CiteRank is not trying to be your whole marketing department.
The product stays narrow on purpose. It measures AI answer visibility, explains competitor source advantage, and creates a weekly work list. That is easier to buy, easier to verify, and easier to charge for than a vague growth assistant.
The baseline is built around measurable GEO work.
Buyer-question test
Run buyer questions against your brand and competitors, then preserve the raw answer evidence.
Citation telemetry
Track which pages and sources AI systems cite, including Clarity exports or customer evidence when available.
Source list
Rank third-party directories, review pages, community sources, and neutral mentions that competitors already have.
Next steps
Convert every finding into owned-page fixes, FAQ additions, comparison assets, source tasks, and weekly recheck dates.
Start with a first-month baseline, then keep the operating loop alive only if the evidence matters.
The first deliverable is the $99 AI Search Visibility Baseline: buyer-question tests, source lists, action tracking, and a prioritized next-step list. Weekly rechecks and managed execution stay optional.
If the buyer asks, “What do I do next?”, CiteRank must answer.
That is the product rule. Every screen has to open a buyer question, source, page, owner, or next action. If it does not create a decision, it does not belong in the product.