Their own pages, or nothing
Every fact in the competitor column comes from that vendor's own public site, read on a date we print on the page. No third-party listicles, no numbers from a private trial, no inferences about a roadmap.
compare
The tools below monitor how AI assistants answer questions, usually from a list the customer maintains. Foliora starts earlier: a crawl of what the business actually sells becomes a frozen buyer-question panel; that panel is sampled on ChatGPT and Gemini; live search demand, page templates, and on-site findings sit on the same record; then the ranked change is drafted, published to your own domain on your approval, and the same questions are asked again.
A 125-prompt list you manage, and one page optimization a month on Core. Foliora derives a 25-question panel from the crawl, samples ChatGPT and Gemini, joins demand with live citation outcome, and includes three approvals that can publish through Shopify, WordPress, Webflow, or a GitHub pull request.
Read the comparisonDaily prompt tracking against a conversation corpus they own, ChatGPT-only on Starter. Foliora derives the panel from the site, samples ChatGPT and Gemini, joins live search demand with citation outcome, bills monthly, and meters its change allowance when a customer approves the exact diff.
Read the comparisonAnalytics that stop at prioritized recommendations, by their own documentation. Foliora records citation outcome, competing hosts, and the stored response, then joins that evidence with the crawl and global demand. An approved change can publish through Shopify, WordPress, Webflow, or a GitHub pull request.
Read the comparisonThe cheapest published monitor, with recommendations as the unit and Claude and Gemini as add-ons. Foliora samples ChatGPT and Gemini, derives the questions from the catalog, and joins the result to an approvable page diff that can publish through Shopify, WordPress, Webflow, or a GitHub pull request.
Read the comparisonhow these pages are written
A comparison written by a vendor is evidence, not a verdict. The four rules below are what keep these pages usable anyway — including the rule that we do not concede capabilities Foliora ships, and we do not treat a staffed team as a reason to buy a dashboard instead.
Every fact in the competitor column comes from that vendor's own public site, read on a date we print on the page. No third-party listicles, no numbers from a private trial, no inferences about a roadmap.
Where we quote a competitor's price we say when we read it and tell you to check theirs. A price with no date on it is a claim that expires quietly, and quoting a stale one is worse than quoting none.
When a page says something is not described on a vendor's pricing page, that is all it means. We do not convert a gap in someone's published feature table into a claim about what their product cannot do.
Every comparison names what that vendor uniquely publishes — a cheaper monitoring SKU, more seats, daily cadence, a demand corpus, connectors we do not ship. It does not pretend Foliora samples engines it does not sample, or publishes to surfaces it does not write.
the purchase
The purchase is whether you want another dashboard over typed prompts, or a system that derives the questions, joins the evidence, and drafts the approved change. Foliora builds a frozen buyer-question panel from what the crawl concluded the business sells, joins sources a marketing team — even a sophisticated one — almost never joins, then ranks what to change, drafts it, and re-measures. A founder without a content team needs that operator. So does a large org that already pays for Ahrefs, a tracker, and writers: they have too many tools and no system that synthesizes them. An agency that only files recommendations still leaves the join and the page with the client.
You do not have a research desk, a prompt library, or a publishing queue. Foliora derives the panel from the catalog, samples ChatGPT and Gemini, drafts the ranked change, and waits for one approval. You are buying the operator, not a dashboard you would have to staff.
Those tools do not rank one page change together. The crawl, how pages cluster, global demand, live citation outcome, and on-site findings stay in separate products. Foliora is the system that joins them and ships the ranked page. Another dashboard adds a backlog; headcount does not close the join.
A monitoring login is something most clients can buy themselves. Each Foliora website has its own Essential ($49.99/month) or Pro ($149.99/month) plan, so the retainer is the researched change, the approval, the published page, and the re-ask — not another report the client already knows how to file.
before you shortlist
The eight-criterion check in our field guide is designed to be run against any vendor in this category in an afternoon, including Foliora. Surface coverage, prompt control, whether raw responses are stored, how variance is handled, attribution granularity, whether anything changes on your site, who approves it, and whether the price is published at all.
preview
Read the method first: how to evaluate an AI visibility tool · why we measure 25 questions and not 500