the difference
The cheapest monitor is still a monitor.
For $29 a month Otterly will issue recommendations and audit URLs, and that price is real. Foliora is $49.99 because the questions are derived from the catalog, ChatGPT and Gemini are on the plan, the evidence is joined, and the deliverable is the rewritten page on your domain plus a re-check — not another list for a team that already has too many.
Unlimited recommendations are how a backlog is born
Otterly's Lite tier lists three recommendations per week and the tiers above list unlimited. Their GEO audit will tell you which of your pages an AI crawler cannot properly read, and that check is real. The failure mode is not the tool. It is the unjoined queue. A sophisticated marketing team can already produce more recommendations than it can rank across crawl, demand, and live citation outcome; unlimited recs make that worse.
Foliora runs the same class of technical check weekly, then ranks the fix against the rest of the evidence and writes it. Last quarter's unshipped recommendations are usually a synthesis failure, not proof that the team needed a cheaper monitor.
Add-on engines are real money
Otterly's four included engines are ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Their pricing page lists Claude, Google Gemini, and Google AI Mode as separately priced add-ons, scaling with the tier you are on.
This is disclosed clearly on their own page and it is a defensible way to price, since each engine costs them something to sample. Foliora includes Gemini on the base plan rather than selling it as an add-on. Extra engines (Perplexity, Claude, Grok) are not on the default paid panel.
The panel is derived. The audit volume is not the product
We sample globally on a smaller question set derived from the catalog, and we spend the difference on the analysis and the work. Foliora reads your whole catalog within the crawl budget, finds the specific page that should own each question, writes the change, and shows it to you as a diff with the buyer question and evidence attached.
On Shopify, WordPress, Webflow, or a GitHub pull request, approved work may publish after a remote re-read. Then the rendered page is re-read, because a successful API call is not evidence that a page is correct, and the questions that named a competitor are asked again and dated. GEO audit volume across thousands of URLs is a remaining difference of theirs. It is not a ranked change on the live domain.
- Questions generated from your catalog, not typed in by you
- Existing pages restructured, not just new ones written
- Every observation stored with engine, question, date, citation URLs, and outcome
A staffed team still does not have the join
If last quarter's recommendations already shipped, you still do not have a system that derived the questions from the crawl and ranked one page change from templates, global demand, and live citation outcome together. Otterly will keep naming pages from a list that was never joined to the rest of the evidence. Shipping those items faster does not produce that ranking.
Foliora is the operator that does the analysis most advanced teams do not join, then drafts the approved change and — on Shopify, WordPress, Webflow, or a GitHub pull request — may write and re-measure. A tracker plus a large team is how a backlog of unjoined recommendations accumulates, which is why the staffed team is the buyer who needs this most.