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Sampled: ChatGPT · Gemini · monthlyReceipts kept · unsampled ≠ absentYou approve every change — verified live

Profound alternative

Profound tracks a prompt list against a corpus they own. Foliora derives the panel, joins live search demand with live answers, and drafts the approved change.

Profound's published tiers meter prompts tracked and agent credits, billed yearly. Foliora derives buyer questions from the site, samples ChatGPT and Gemini, joins live search demand and competing SERP evidence onto that panel, then drafts the approved change. Foliora can then publish through Shopify, WordPress, Webflow, or a GitHub pull request after a remote re-read. $49.99 per month, billed monthly. Enterprise seats and CDN logs do not replace that join.

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publishes through

cited across

$49.99/mobilled monthlyChatGPT + Geminishopping surfacesApproved improvementsyour approval, verified live

side by side

A closed corpus and credits spent, against a derived panel and changes verified.

Profound's column uses their two published tiers, since their Enterprise pricing is custom. Foliora's uses the published base plan.

ProfoundFoliora
Published entry price$99/mo Starter, $399/mo Growth$49.99/mo
BillingBilled yearlyBilled monthly
Engines on the entry tierChatGPT onlyChatGPT and Gemini
Prompts or questions measured50 Starter, 100 GrowthBuyer questions generated from your catalog
Sampling frequencyDailyMonthly on Essential; weekly on Pro
Share of voicePrompt-level sentiment and SOVCited, mentioned, or absent, with competing hosts
Where the questions come fromTheir dataset or upload your ownLive search demand, plus your catalog
Content unit meteredAgents creditsApproved changes published
Publishes into your stackNot specified on the pricing pageMapped Shopify Online Store pages
Diff shown before anything shipsNot specified on the pricing pageYes, approval binds to that version
Live page re-read after publishingNot specified on the pricing pageYes, and the receipt is retained
Site crawler checksAgent Analytics from CDN logsMonthly or weekly review, then approved improvements
Seats on the entry tier1 Starter, 3 GrowthNot sold
Data export on the entry tierNone on Starter, CSV/JSON on GrowthFull response, engine, date, citations
API / MCPEnterprise onlyMCP for customer-owned agents
SOC 2 Type II and SSOEnterpriseNot claimed
Demand datasetPrompt VolumesLive search demand and live sampling

The Profound column is taken from tryprofound.com/pricing as read on August 23, 2026. Their published prices are billed yearly. Vendor pricing changes; check their page before deciding. "Not specified on the pricing page" means the published feature table does not address it — it is not a claim about what the product can or cannot do. The Foliora column is our own pricing page.

ahead

A derived panel, ChatGPT and Gemini, and a change that counts only when it is live.

Compare against Profound's published Starter and Growth pages, read August 2026. Demand data is not a closed corpus they own — it is live search demand and competing SERP evidence plus the live panel, joined to the site model.

what profound uniquely publishes

A branded conversation corpus, CDN log ingest, and two extra Enterprise engines.

These are real published products of theirs. None of them is a Foliora gap in ChatGPT or Gemini on the entry plan, and none of them is a reason to skip the join.

the difference

A closed corpus is not the join.

Profound is right that one sample is noisy, and averaging across days is a correct fix for that problem. Foliora stores dated ChatGPT and Gemini observations on a site-derived panel. What sits next to that reading is the difference: live search demand, live citation outcome with competing hosts, ranked work, and a published, re-read Shopify page. Credits for generation, seats, and CDN logs are not that loop.

Then we change the source

Profound runs tracked prompts daily and says openly why: AI platforms do not return the same answer twice, so a daily average is closer to your true position than a single reading. That reasoning is correct. Foliora samples ChatGPT and Gemini monthly on Essential or weekly on Pro — and stores each observation with the engine, date, full response, and citation outcome.

The question a buyer should ask next is what the reading is for. Foliora joins it with live search demand and the site read, then spends the rest of the cycle writing and shipping your own pages, because the thing that changes an answer is a better source, not a tighter error bar.

Credits measure generation. We measure completion

Profound's pricing page meters Agents in credits and describes them as autonomous workers for content generation and optimization. Credits are consumed when work is produced.

Foliora meters a change when you approve the exact diff. Research, harvest, opportunities, jobs, and compile do not count against that allowance. After approval, Shopify, WordPress, Webflow, or a GitHub pull request can publish through a remote re-read, rendered verification, and a dated re-ask.

The entry tier tracks one engine. Ours tracks two shopping surfaces

Profound's published Starter tier lists ChatGPT tracking only, one seat, one language, one region, and no exports, at $99 per month billed yearly. Perplexity and Google AI Overviews arrive at Growth, $399 per month billed yearly.

Foliora includes ChatGPT and Gemini at $49.99 billed monthly. If you need more than ChatGPT, Profound Growth is $399 a year-locked for three engines. The Foliora purchase is a derived panel and supported page improvements, not a wider assistant list.

A branded corpus is not live search demand plus a live panel plus a site model

Profound publishes Prompt Volumes from a corpus of AI conversations they describe in the billions. That is one dataset they own. Foliora pulls search demand, competitive coverage, and keyword evidence from live search demand and competing SERP evidence, generates the panel from your catalog, and samples ChatGPT and Gemini live.

CDN Agent Analytics and extra Enterprise engines are remaining differences, and they are real. They are also not a system that ranks one page change from those layers together. Share of voice is cited, mentioned, or absent per question, stored with the raw response so you can audit it.

  • Cited, mentioned, or absent on every sampled surface
  • Competing hosts stored in the order the answer named them
  • Full response retained with engine, question, and date

read skeptically

We sell one of the two products on this page.

Everything above about Profound comes from their own public pages, dated where it matters, and we have linked the method we used so you can redo it. The tinted section is what Foliora ships that they do not. The section after it is what they uniquely publish — remaining differences, not fake losses. Run the eight-criterion check yourself before you buy either one.

questions

Foliora and Profound, answered.

Profound is a measurement platform with a closed conversation corpus behind it and ChatGPT-only tracking on Starter. Foliora is the stronger purchase for a team that wants the measurement already in the product — ChatGPT and Gemini, live search demand and competing SERP evidence, a panel derived from the site — and a completed published change: researched initiative, human approval, your own page, rendered re-ask. Enterprise seats and CDN log ingest are remaining differences of theirs. They do not replace that loop.

Profound's published tiers meter prompts tracked and Agents credits for content generation and optimization. Foliora derives the questions from the catalog, joins live search demand and live citation outcome with the site read, and meters approved changes. Both generate text. The distinction is whether the unit you buy is a decision: a Foliora change is counted when you approve it. Foliora can then publish through Shopify, WordPress, Webflow, or a GitHub pull request after a remote re-read and re-ask the same question.

Profound's own pricing page lists Starter at $99 per month billed yearly, covering ChatGPT tracking only, 50 tracked prompts, 100 Agents credits per month, one seat, one language, and one region, with exports and API not included at that tier. If you want Perplexity and Google AI Overviews as well, their Growth tier at $399 per month billed yearly is where three engines appear. Foliora includes ChatGPT and Gemini at $49.99 per month billed monthly. Both Profound figures were read on their pricing page in August 2026 and both are annual commitments.

Profound sells Agents, which their pricing page describes as autonomous workers for content generation, optimization, and more, metered in credits. We are not going to characterize the boundaries of what those agents can reach, because their pricing page does not specify it and guessing would be dishonest. What we can describe is our own boundary: Foliora publishes approved changes through Shopify, WordPress, Webflow, or a GitHub pull request after a remote re-read. It does not read customer or order data, auto-merge pull requests, or mutate theme Liquid, theme PHP, or the Designer canvas.

Foliora is $49.99 per month, per site with monthly billing or 20% off annual billing, ChatGPT and Gemini sampling, and supported improvements on your site’s cycle. Profound's published Starter is $99 per month billed yearly for ChatGPT tracking only. Growth is $399 per month billed yearly for three engines. Starter is a monitoring SKU. Foliora is the researched change plus the approval loop — and, on your own domain, the write.

Not the data Foliora already joins. Foliora samples ChatGPT and Gemini and joins live search demand and competing SERP evidence on top of a panel derived from the site. What Profound uniquely publishes is Agent Analytics against CDN logs, sentiment polarity, and Meta AI plus Google AI Mode on Enterprise. Foliora does not claim SOC 2, SSO, or seats. CDN logs do not give an Enterprise team the join.

You can keep Profound as optional independent measurement. Foliora stores every observation with the engine, question, date, full response, citation URLs, and citation outcome, so you can reconcile it against another tool's numbers instead of trusting either one. You do not need their corpus to have demand data — that already comes in from live search demand and competing SERP evidence — and you do not need a second dashboard to have citation outcome.

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See which questions name someone else today.

How we evaluate tools in our own category: the eight-criterion method.

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