- Profound is an enterprise AEO platform that monitors how brands appear across 10 AI answer engines (plus Amazon Rufus tracked under a separate Shopping surface), with proprietary Prompt Volumes data sourced from double opt-in consumer panels and a no-code Agent Builder for content generation. Public pricing now lists customized enterprise pricing only.
- Wellows is an AI visibility platform built around the citation workflow. Daily tracking on up to 5 answer engines on Starter and Pro plans (ChatGPT, Gemini, Perplexity, AI Overviews, AI Mode), a site-wide scan that prevents cannibalization before recommending edits, and outreach intelligence for implicit citation building. Self-serve pricing starts at $37/domain/month.
- The methodology gap matters more than the feature gap. Profound asks for a URL and a prompt list. Wellows asks for prompts, then decides which page to optimize after scanning the full domain. Different starting points, different answers.
- Choose Profound for enterprise-scale prompt-volume intelligence, browser-rendered answer capture across many engines, and SOC 2 / SSO / RBAC compliance. Choose Wellows if cannibalization checks, line-level gap analysis, and outreach workflows are the bottleneck, not engine coverage.
The AEO category got crowded fast. Most AI visibility tools in this space track visibility, showing how often a brand appears, on which engines, against which competitors. That’s table stakes now.
What’s not table stakes is what happens after the dashboard tells you the gap exists.
Profound and Wellows both answer that follow-up question, but they answer it differently. This post walks through the AI search visibility features of each platform, where they overlap, and where the underlying methodology diverges. The goal is a clear read of which platform fits which kind of team, not a winner declaration.
Wellows: an AI visibility platform built on citations
Wellows is an Answer Engine Optimization (AEO) platform that turns AI search data into next steps. The Wellows product positioning describes it as a platform for brands and agencies that want to track, grow, and report their presence across answer engines like ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
| Category | Answer Engine Optimization (AEO) Platform |
| Primary Job | Win AI citations and act on them through content optimization and outreach |
| Scoring Methodology | Citation-first. Tracks explicit and implicit citations across LLMs |
| AI Platforms Tracked | ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini (up to 5 on Pro) |
| Pricing Model | Per domain, per month. Lite $37, Essential $97, Starter $297, Pro $497 |
| Free Trial | 7 days on every plan, no charges during trial |
| Website | wellows.com |
The workflow is organized around five phases that map to delivery: Setup, Strategy & Planning, Content Creation, Outreach, and Performance History.
Wellows Dashboard
Profound: an enterprise AEO platform built on browser-rendered monitoring
Profound positions itself as a full-stack marketing platform for AI search, built around four monitoring surfaces (Answer Engine Insights, Agent Analytics, Prompt Volumes, Shopping) and one create surface (Agents).
| Category | Enterprise AI Answer Engine Optimization platform |
| Primary Job | Enterprise-scale visibility monitoring, prompt-volume intelligence, and automated AEO content generation |
| Scoring Methodology | Browser-rendered capture of AI answers, with daily re-runs of every tracked prompt |
| AI Platforms Tracked | 10 answer engines. ChatGPT, Google AI Mode, Google AI Overviews, Gemini, Microsoft Copilot, Perplexity, Grok, Meta AI, DeepSeek, Claude (per Profound’s August 2025 engineering blog). Amazon Rufus is tracked under a separate Shopping surface. |
| Pricing Model | Customized enterprise pricing (per current public pricing page). Profound’s own 2025 launch post documented a $99/month Starter plan; a $399/month Growth tier is referenced in multiple third-party reviews. Both have been removed from the live pricing page. |
| Free Trial | Not advertised. Sales-led demo to access the platform |
| Website | tryprofound.com |
The methodological commitment is to capture AI responses directly from the browser, what the platform calls “the consumer experience,” rather than via API calls.
Profound Dashboard
That choice shapes the rest of the product: enterprise-grade compliance posture, broad engine coverage across 10 answer engines (plus Rufus under Shopping), and a proprietary prompt-volume dataset sourced from double opt-in consumer panels rather than synthetic estimates.
What gets tracked, and how
The first question for any AEO platform is what counts as a signal. Visibility scores look the same from a screenshot. The underlying capture method is where the platforms part ways.
Profound captures AI responses directly from the browser, what the platform calls “the consumer experience,” rather than from APIs. This is a deliberate choice: API responses don’t always match what real users see in ChatGPT or Perplexity.
Profound runs every tracked prompt daily across each engine, so the visibility score reflects an average across responses rather than a one-shot pull.
Wellows also runs prompts daily across each engine, with daily monitoring listed on every plan tier. Engine coverage is narrower: five answer engines on the Pro plan (ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode).
The trade-off is that Wellows pushes deeper into what happens after a citation is detected. It pairs the citation signal with page-level gap analysis and the outreach map, with engine-specific playbooks for surfaces like how to Optimize Content for AI Overviews baked into the recommendations.
Wellows-vs-Tryprofound as AI Search Visibility Platform
The practical implication is one of fit. If the use case is “I need to know how my brand shows up across every consumer-facing AI engine in 2026, including Meta AI, DeepSeek, and Amazon Rufus,” that’s a Profound question. If the use case is “I see I’m not cited for X prompt, now what do I do about it?,” that’s where Wellows’ workflow takes over.
One nuance to keep in mind. Engine coverage isn’t a static number. Profound has added engines through 2025 to 2026 (Claude support was added in August 2025 per their launch post). Wellows’ engine list has grown through 2025 as well. Treat any “X engines vs. Y engines” comparison as a snapshot of when the post was written, not a permanent gap.
Where the workflows diverge
The clearest methodology difference between the two platforms shows up in how a content optimization run actually starts.
| Workflow question | Profound | Wellows |
|---|---|---|
| What’s the first input from the user? | A URL plus a prompt list (or prompts pulled from Prompt Volumes) | Just the prompts |
| Who picks which page to optimize? | You do, per the page you target with the workflow | Wellows does, after a site-wide scan and intent/relevance scoring |
| Site-wide cannibalization check before recommending edits? | Not part of the documented Agent workflow | Built into the Content Optimization step |
| What happens if no existing page is a good fit? | Use a net-new content Agent template to draft from scratch | Wellows routes the opportunity to the Content Generation workflow |
| Gap analysis granularity | Citation pattern analysis at the topic level (via Agents querying 16 reasoning models) | Line-level gap analysis from 20 to 50 scraped cited URLs per prompt |
| Publishing path | Direct CMS integration with human-in-the-loop approval | Manual handoff. Wellows produces the optimization plan and brief |
A few things worth pulling out here.
The “who picks the page” question matters more than it sounds. Anyone who’s run AEO work in-house knows the friction point: which of the four pages we already have on a topic should we update?
Pick wrong and two pages compete for the same citation, dragging both down. Profound treats that decision as the user’s job. The Agent acts on the URL it’s given. Wellows treats it as the platform’s job. The scan runs first, and the recommendation comes with an explicit no-cannibalization status.
That’s a real methodology difference, and it shapes the kind of team each platform suits. If a team has clean URL hygiene and an SEO architecture they trust, Profound’s URL-in workflow is faster. They already know which page they’re working on.
If a team has accumulated content over years and the URL question is itself uncertain, Wellows’ site-wide scan does meaningful upfront work that wouldn’t otherwise happen.
Prompt intelligence: where Profound’s data moat sits
People searching with AI daily, per Profound's homepage
Profound’s homepage cites this scale to frame the AEO opportunity. The relevant question for tool selection isn’t whether the number is large. It’s whether your AEO tool gives you signal on what those people are actually asking.
Source: Profound, 2026This is the area where Profound’s product investment is most visible. Prompt Volumes, described by Profound as the first tool to estimate AI search volume, pulls from double opt-in consumer panels of real AI assistant users, anonymizes the data, and runs probabilistic modeling to scale findings to broader populations.
Coverage extends across ChatGPT, Gemini, Claude, and Perplexity, with the U.S., U.K., Canada, Germany, France, and several other markets supported.
The Prompt Volumes data answers a question no API-based tool can: what are the actual prompts millions of consumers are typing into AI today, segmented by intent, sub-intent, demographics, and platform. That’s a different layer of intelligence from “which prompts mention my brand.”
Wellows doesn’t have an equivalent panel-data product. The prompt input for Wellows is built from three sources: AI-generated topic mapping from the user’s domain configuration, manual uploads, and Google Search Console integration.
GSC integration is the practitioner-friendly part of this. It pulls in real search queries the domain is already getting impressions on, which sidesteps the cold-start problem for prompt selection.
| Decision factor | When Profound’s Prompt Volumes earns its keep | When GSC + manual prompt input is sufficient |
|---|---|---|
| Demand sizing | You need to size demand behind a prompt before committing content investment | Demand sizing is less critical than picking the right URL to fix |
| Audience segmentation | Demographic segmentation matters. You need to know if a prompt skews toward your buyer persona | The team optimizing isn’t going to use demographic prompt data even if it’s available |
| Prompt coverage | You’re targeting prompts that aren’t yet in your GSC data (net-new categories or pre-launch products) | You already rank for the queries you care about. The prompts you need to track are the AI-search version of what’s in GSC |
| Journey alignment | You need intent and sub-intent classification to align content to buyer-journey stages | You’re running an agency motion across multiple clients and need to start from real query data per domain |
There’s no universal answer here. Prompt Volumes is genuinely differentiated, and for teams whose AEO motion is “find topics worth owning across the category,” it’s the closest thing to keyword-volume intelligence the AI search era has.
For teams whose motion is “we already know what to write about, we need to know which page to update and which competitor URL to learn from,” it’s a more expensive answer to a less pressing question.
Content Optimization without URL guesswork
The cannibalization problem in AEO. Most domains have multiple pages that touch the same topic. Without a site-wide check, an AEO recommendation can push two pages to optimize for the same prompt, splitting authority and confusing both ranking and citation signals. The fix isn’t more content. It’s picking the single best page and consolidating effort.
This is the feature in Wellows that’s hardest to replicate by stacking other tools. Worth flagging upfront: Wellows lists Content Optimization as BETA on its pricing page, which is the kind of honest labelling that matters when comparing two products at different maturity points.
Wellows Content Optimization
The mechanics matter for understanding what’s actually happening:
- Prompt selection. The user finalizes the prompts they want to be cited for. No URL upload, no keyword list pasted in.
- Site-wide scan. Wellows scans the full domain for pages relevant to the prompt. If multiple pages exist, an intent-and-relevance scoring layer picks the single strongest one.
- Cited URL analysis. Wellows pulls 20 to 50 URLs that LLMs are currently citing for the prompt and scrapes their content for structure, entities, depth, and citation patterns.
- Line-level gap analysis. The platform flags exactly what to add, remove, or rewrite, section by section, based on what cited competitors include and the target page doesn’t.
- Internal link map. Supporting pages on the same domain are identified, with recommended anchor text, so LLMs follow the cluster more clearly.
Profound’s content workflow runs differently. The Agents product, per Profound’s documentation, is a drag-and-drop workflow builder.
Pre-built templates cover four common needs: Content Refresh, AEO FAQ Generation, Competitive Research, and Net-New Content Creation. Each Agent queries 16 reasoning models plus Profound’s user prompt data to identify what AI engines are citing in the topic, then writes to that pattern.
This is a meaningfully different abstraction. Profound’s Agents are scoped to the content lifecycle (research, brief, draft, publish) and they’re designed to scale via the Sheets interface, which lets a team process hundreds of inputs in parallel. The platform makes content production at scale tractable in a way that single-asset tools don’t.
What’s not in scope for the Agents workflow, based on what’s publicly documented, is the cannibalization decision. The Agent is told what to write about. It doesn’t decide whether the topic already lives somewhere on the domain.
One way to think about this gap. Profound is built for teams that already have a content operation and want to scale it for AEO. Wellows is built for teams whose bottleneck is the decision layer. What to write, which page to update, which prompts are worth pursuing given what already exists.
Outreach and citation building
Tracking visibility is one thing. Changing it via owned content is another. Earning citations from external domains is the third lever, and this is the lever the two platforms treat most differently.
Wellows ships outreach as a product surface. The Outreach Opportunities workflow maps high-authority domains, publishers, and partners aligned with the user’s topics, then surfaces specific URLs where a citation could plausibly be earned.
Wellows Outreach
The “Connect for Mention” action auto-fetches contact emails and generates a customizable pitch. Every Wellows tier includes unlimited implicit-citation opportunities. The framing on the Wellows homepage describes this as building “implicit citation” associations: getting your brand placed in already-cited sources strengthens trust signals inside LLM ecosystems.
Profound does not ship a comparable outreach product. Its PR & Communications solution page frames PR’s role in AEO as shaping AI conversations through Agents that monitor citation sources and brief content that targets those gaps. The action is owned-content production aimed at earned-citation surfaces, not direct outreach to publishers with contact data and pitch copy.
The concrete differences, side by side:
| Outreach capability | Profound | Wellows |
|---|---|---|
| Identifies citation source URLs | Yes, via Agent monitoring | Yes, via Outreach Opportunities |
| Prioritizes which URLs to target | Topic-level briefs | URL-level, per prompt |
| Auto-fetches publisher contact emails | No | Yes |
| Generates customizable pitch copy | No | Yes |
| Default motion | Write owned content for the gap | Pitch the publisher who already owns the citation |
This isn’t a feature gap criticism. It’s a positioning choice. Profound is built around the marketing engineer thesis: automated content production at scale. Wellows is built around the citation-acquisition motion: tracking, optimization, and outreach as a connected workflow.
Pricing, plans, and access
Wellows publishes self-serve pricing on the homepage, with a 7-day free trial across all tiers and no charges during trial:
| Plan | Price (per domain / month) | Engines | Prompts tracked | Content generation | Strategic calls |
|---|---|---|---|---|---|
| Lite | $37 | 1 (ChatGPT) | 40 | 2 | 1/month |
| Essential | $97 | 2 (ChatGPT, AI Overviews) | 100 | 5 | 2/month |
| Starter | $297 | 5 (ChatGPT, AI Overviews, Gemini, Perplexity, AI Mode) | 400 | 15 | 3/month |
| Pro | $497 | 5 (ChatGPT, AI Overviews, Gemini, Perplexity, AI Mode) | 1000 | 70 | 5/month |
Every Wellows tier includes GSC integration, daily monitoring, all-time history, brand sentiment analysis, and unlimited outreach (implicit) opportunities. The progression up the tiers is mostly about engine coverage, prompt volume, and content generation throughput.
For practical comparison: the entry point for self-serve AI visibility tracking with Wellows is meaningfully below where Profound’s currently-listed enterprise pricing starts. The trade-off is the rest of the Profound stack. Prompt Volumes panel data, 10-engine coverage, Agent Analytics, SOC 2 / SSO / RBAC. None of which are part of Wellows’ published feature set today.
Who should pick which
The honest answer is that this depends less on the feature checklist than on the team’s current bottleneck.
| If this describes your situation… | Profound is the stronger fit | Wellows is the stronger fit |
|---|---|---|
| Team type | Enterprise brand with compliance requirements | Agency, startup, freelancer, or consultancy |
| Pricing fit | Budget for enterprise contracts | Per-domain self-serve pricing matters |
| Compliance posture | SOC 2 Type II, SSO, RBAC, and audit-grade controls are required | Standard SaaS security is sufficient |
| Engine coverage | Need Meta AI, DeepSeek, Copilot, Grok, and Claude alongside the big four, plus Rufus for shopping | The big-four engines plus AI Mode cover the use case |
| Prompt intelligence | Need to size demand with panel data, not just track visibility | GSC + manual prompts give enough signal for the categories you care about |
| Content bottleneck | Content operation exists and needs to scale (hundreds of assets per cycle) | Years of accumulated content; the bottleneck is deciding which page to update |
| Cannibalization risk | Clean URL hygiene; you know which page to optimize | Multiple pages on the same topic; cannibalization is a real cost |
| Outreach motion | Owned-content production aimed at earned-citation surfaces | Direct outreach to publishers with contact data and pitch copy |
There are teams that genuinely need both. An enterprise brand might use Profound for prompt-volume intelligence and category-level monitoring while running Wellows for the per-product-line cannibalization and gap analysis workflow. The platforms aren’t strictly substitutes. They make different bets about where the AEO bottleneck is.
A pragmatic test before the demo call. Pull up your last three content optimization runs (in any tool, or even in a doc). For each one, ask: did the team know which page to optimize before starting? If yes most of the time, Profound’s URL-in workflow saves you a step. If no, if the URL question itself was uncertain, Wellows’ site-wide scan does work you’d otherwise do manually.
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Neither is universally better. The right fit depends on the team’s bottleneck. Profound is the deeper enterprise platform with 10-engine coverage, Prompt Volumes panel data, and full Agent automation. Wellows is the workflow-tighter platform with site-wide cannibalization checks, line-level gap analysis, and built-in outreach. If engine coverage and prompt-volume intelligence are the gap, Profound. If the cannibalization decision and citation-acquisition workflow are the gap, Wellows.
Profound’s public pricing page currently lists “customized enterprise pricing” only. Profound’s own 2025 launch post documented a $99/month Starter plan; multiple third-party reviews reference a $399/month Growth tier that has also been removed from the live pricing page. The platform appears to have consolidated around enterprise customers. Expect a sales-led conversation for access.
Wellows publishes self-serve pricing on the homepage. Lite is $37/domain/month (ChatGPT only, 40 prompts), Essential is $97/month (2 engines, 100 prompts), Starter is $297/month (5 engines, 400 prompts), and Pro is $497/month (5 engines, 1000 prompts). All tiers include a 7-day free trial with no charges during trial.
Profound tracks 10 answer engines per its August 2025 engineering blog: ChatGPT, Google AI Mode, Google AI Overviews, Gemini, Microsoft Copilot, Perplexity, Grok, Meta AI, DeepSeek, and Claude. Amazon Rufus is tracked under a separate Shopping product surface. Wellows tracks up to 5 answer engines on its Starter and Pro tiers: ChatGPT, Google AI Overviews, Gemini, Perplexity, and Google AI Mode. Lower Wellows tiers track fewer. Lite covers ChatGPT only, Essential covers ChatGPT plus Google AI Overviews.
Yes, both have content workflows. Profound’s Agents are a drag-and-drop workflow builder with templates for Content Refresh, AEO FAQ Generation, Competitive Research, and Net-New Content Creation, and they publish via CMS integration. Wellows ships Content Generation and Content Optimization as separate workflows, where Content Optimization runs a site-wide scan first to pick the page worth updating and Content Generation produces net-new pages when no existing page is a fit.
Before recommending any content update, Wellows scans the full domain for pages already covering the prompt’s topic. When multiple candidate pages exist, an intent and relevance scoring layer selects the single strongest one, so you don’t end up publishing or updating two pages competing for the same citation. If no page is a good fit, the opportunity is routed to Content Generation for a new page instead.
Not as a first-class product surface. Profound’s PR & Communications solution is framed around using Agents to monitor citation sources and brief content that targets earned-citation gaps. Owned-content production targeting earned surfaces, rather than a direct outreach workflow. Wellows includes outreach as a built-in workflow with prioritized URL targets, auto-fetched contact emails, and AI-generated pitch copy.
No equivalent panel-data product exists in Wellows or most other AEO tools today. Profound licenses real prompts from double opt-in consumer panels, anonymizes and scrubs them, and applies probabilistic modeling for population-level estimates. Coverage spans ChatGPT, Gemini, Claude, and Perplexity across multiple regions. For teams whose AEO motion needs demand sizing at the prompt level, this is the most differentiated thing in Profound’s stack.
