Comparison
Profound vs Peec AI
The enterprise incumbent against the budget analytics tool — a $370 gap with surprisingly little between them in kind. Both report; neither acts.
The short version
This is a comparison between two ends of the same product category.
Profound is the enterprise standard: ten or more engines, mature crawler and agent analytics, the security documentation procurement asks for, $399/mo entry.
Peec AI is the budget instrument: competent prompt-level analytics and source targeting from about $29/mo, quick to deploy, no enterprise machinery.
The gap is real, but it is a gap in scale rather than in kind. Both tell you what is happening. Neither does anything about it.
Where Profound wins
Engine breadth. Ten or more against Peec's coverage of the major consumer engines. If Copilot, Grok or DeepSeek matter in your category, this is decisive.
Crawler and agent analytics. Well regarded, and the single strongest argument for the price. It covers the technical half of AEO that Peec leaves entirely unmeasured. Since blocked crawlers and JavaScript-only rendering are the most common causes of AI invisibility, this is not a marginal advantage — it is the difference between being able to diagnose your most likely problem and not.
Enterprise readiness. SSO, compliance posture, procurement documentation. Frequently the deciding factor irrespective of features.
Institutional credibility. Proposing the category leader is politically easier than proposing a challenger.
Where Peec AI wins
Price, by an enormous margin. About $29 against $399. Thirteen times cheaper, for a product that covers the measurement basics competently.
Speed to value. No procurement, no onboarding programme, no sales cycle. Running the same week you decide.
Focus. Prompt-level analytics and source targeting are the product rather than two features among forty. Nothing to ignore, nothing unused.
Accessible evaluation. A free trial and a price a single marketer can approve without a meeting.
What neither does
Worth stating plainly, because it is where both leave you exposed.
Neither closes the loop. No scheduled fix drafting, no automatic page variants, no llms.txt generation documented for either. Every finding becomes a brief, a content change and a deployment staffed by your team.
This interacts badly with Profound's main strength. It produces more findings than Peec, and if remediation capacity is your constraint, more findings simply grow the backlog faster. Enterprises usually have that capacity. Mid-market teams generally do not.
Neither documents agent task testing. As buying journeys become agent-mediated, failures that stop an agent completing a task on your site go undetected by both.
Neither publishes a citation-factor model. Profound's factor analysis is partial by our assessment; Peec's is absent. Both tell you that you lost a citation. Neither tells you which attribute cost it, which is what makes the next content sprint targeted rather than speculative.
Neither offers a free tier. Peec has a trial, Profound a sales process.
Our verdict
Peec AI for most teams choosing between these two.
The reasoning is uncomfortable for the incumbent: since neither tool remediates, the $370 monthly premium buys engine breadth and procurement comfort. Both are real, and most mid-market teams use neither. Peec covers the major engines your buyers actually use, reports prompts and sources clearly, and leaves you enough budget to staff the remediation work that both tools will generate.
Profound if any of three things is true: you need coverage beyond the major engines, procurement requires an enterprise security posture, or you suspect your problem is technical. That last one matters more than it sounds — Peec has no crawler analytics, so if AI crawlers cannot reach your pages, Peec will show you a flat line and never tell you why. Profound will.
Be honest with yourself about which of those applies. If none does, the cheaper tool is not a compromise here; it is the correct answer.
Also worth reading
We assess both against the rest of the field in our comparison matrix, with the method behind those assessments in methodology.
Capability matrix
The same 23 capabilities we apply to every tool. A dash means we could not verify it in public documentation, not that it is absent.
| Capability | Profound | Peec AI |
|---|---|---|
| MeasurementWhat the tool can tell you about where you stand today. | ||
| Prompt-level trackingTrack individual buyer questions rather than only aggregate scores. | Yes | YesPrompt-level analytics is the core of the product |
| Citation and source analysisWhich domains AI engines cite when answering your prompts. | Yes | YesSource targeting is a headline capability |
| Competitor benchmarkingSide-by-side visibility against named rivals. | Yes | Yes |
| Share of voiceYour proportion of brand mentions within a topic. | Yes | Yes |
| Sentiment analysisWhether AI describes you positively, neutrally or negatively. | Yes | Partial |
| False-claim detectionFlags incorrect statements AI makes about your brand. | Not documented | Not documented |
| AI crawler analyticsServer-log view of which AI crawlers reached which pages. | YesAgent analytics is a headline capability | Not documented |
| AI referral trafficSessions arriving from AI answer surfaces. | Yes | Not documented |
| DiagnosisWhether the tool explains the cause, not just the symptom. | ||
| Ranked citation-factor analysisAttributes a citation win or loss to specific, named factors. | PartialCitation and conversation analytics, without a published factor model | No |
| AI readiness auditCrawlability and render checks for AI user agents. | Not documented | Not documented |
| Agent task testingAn AI agent attempts real tasks on your site and reports where it fails. | Not documented | Not documented |
| Topic-level visibilityRankings grouped by subject area rather than single prompts. | Yes | Yes |
| ActionWhether the tool closes the loop or hands you a to-do list. | ||
| Prioritised fix queueGaps converted into ordered, ready-to-apply changes. | Not documented | No |
| Content draftingGenerates draft copy aimed at winning citations. | Partial | Not documented |
| Scheduled autopilot draftsProduces fix drafts on a recurring cadence without being asked. | Not documented | Not documented |
| Automatic page variantsServes AI-optimised variants of live pages. | NoReports and recommends; does not serve page variants | No |
| llms.txt generation and servingBuilds and hosts an llms.txt manifest for you. | Not documented | Not documented |
| Grounded AI assistantA chat analyst answering questions against your own scan data. | Not documented | Not documented |
| PlatformHow well the tool fits an existing stack. | ||
| Free planA no-cost tier, not just a time-limited trial. | No | Not documented |
| API accessProgrammatic read access to your data. | Yes | Not documented |
| MCP serverModel Context Protocol endpoint so AI coding agents can query the data directly. | Not documented | Not documented |
| White-label reportsClient-facing reports under your own brand. | Not documented | Not documented |
| SSOSingle sign-on for team access control. | Yes | Not documented |
✓ Documented~ Partial✗ Absent– Not documentedA dash means we could not verify the capability publicly, not that the tool lacks it. See methodology.
Frequently asked
- [1]Is Profound worth 13 times Peec's price?
- Only for specific requirements: ten-plus engine coverage, enterprise compliance, or mature crawler and agent analytics. If you need those, yes. If you need prompt tracking and a monthly report, Peec delivers most of the practical value for a fraction of the cost.
- [2]What do both of them lack?
- Automated remediation. Neither documents scheduled fix drafting, automatic page variants or llms.txt serving. Every finding either produces becomes manual work for your team.
- [3]Who should pick Peec over Profound?
- Teams validating whether AI search matters for their category, single-brand marketers, and anyone whose budget is measured in tens rather than hundreds of dollars per month.
- [4]What is the strongest reason to pick Profound anyway?
- Crawler analytics. Peec has none documented, which means the most common cause of AI invisibility — blocked crawlers and client-side-only rendering — is entirely invisible to it. If you suspect a technical problem, Profound can see it and Peec cannot.