Scrunch vs Peec: Which AI Visibility Platform Fits Your Team?

The scrunch vs peec decision looks like a feature comparison and is really an operating-model choice. Both products measure how AI engines describe a brand, and both report visibility, position, sentiment, sources and citations. What separates them is what happens after the measurement lands. Scrunch pushes toward the website and toward the AI agents crawling it. Peec pushes toward analysis, competitor benchmarking and reporting, and stops there by design.

That distinction matters because the two orientations respond to different bottlenecks. A team whose problem is "we do not know where we stand" buys differently from a team whose problem is "we know where we stand and cannot act on it." Choosing an ai visibility platform on model count or entry price, without naming the bottleneck first, is how organizations end up with a dashboard nobody opens after month two.

This comparison covers Scrunch and Peec on scope, pricing, model coverage, data cadence and actionability, then explains where DeepSmith fits for teams whose constraint sits on the production side.

Scrunch vs Peec at a glance

What Scrunch does

Scrunch positions itself as an AI customer experience platform rather than a tracker. Its product story has two layers, and understanding the split is the single most useful thing a buyer can do before comparing prices.

The first layer is monitoring and insights: prompt monitoring across the queries that matter, citation and source discovery, signals that detect changes and suggest actions, AI Search Trends with approximate prompt volumes, site audits, page-by-page recommendations through Site Diagnostics, competitive presence, brand position, brand sentiment, query fan-out and funnel-stage analysis. Core includes basic content generation and Enterprise adds an advanced version.

The second layer is the Agent Experience Platform, or AXP, and it is the genuine differentiator in any peec vs scrunch evaluation. AXP is an edge or CDN layer that detects AI-agent traffic and serves those agents a parallel, structured, LLM-optimized version of the site while human visitors continue to see the site as it is. It preserves the existing URL structure, can serve pages as-is or restructure, summarize, translate, redact or simplify them, and converts web pages, PDFs and video into AI-ready formats. Deployment runs through Cloudflare, Akamai or AWS CloudFront, and the help-center material describes it as fully managed with no internal engineering required. Scrunch describes AXP as live across dozens of websites for large enterprise and consumer brands.

Nothing in Peec's scope addresses that problem. A team that has concluded its constraint is what AI agents retrieve from the site, rather than what an answer says about the brand, has a short list of one.

Data collection and cadence

Scrunch says it collects data through multiple platform-specific methods, including browser automation and official platform APIs, measured against a large and continually updated dataset of responses gathered inside AI platforms. New prompts are collected daily for the first fourteen days, after which the default refresh cadence shifts to 72 hours, with on-demand refresh available at any point.

That cadence is a reasonable design and it is not real-time. A brand watching for a fast-moving reputational shift should assume up to three days between scheduled observations unless someone triggers a refresh. Given how much AI answers move between observations, the practical effect of a 72-hour default is a smoother trend line rather than a slower one, though it does mean a single sharp change may surface later than it would on daily collection.

Pricing and published limits

Core for brands is $250 per month. That buys 125 unique prompts, five site audits per month, one brand workspace, five user licenses, four supported LLMs, one country, three personas, five competitors, three AI Search Trends topics, 25 site-map pages, one page optimization per month and basic content generation. A seven-day free trial is included. Core supports ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot.

Enterprise is custom priced and lists nine platforms: ChatGPT, Claude, Perplexity, Gemini, Meta AI, Google AI Mode, Google AI Overviews, Microsoft Copilot and Grok. It adds complete site audits, custom workspaces and users, API access and integrations, SSO, custom page optimizations, advanced content generation and a dedicated account team. Agency Core is $500 per month and Agency Enterprise is custom, though the reviewed FAQ does not publish agency quotas.

The reviewed materials do not state annual pricing, refund terms or cancellation terms for Scrunch monitoring. AXP is a separate offer from monitoring, and public AXP pricing fragments should not be read as standalone monitoring prices. Both are worth confirming directly before a purchase.

One structural fact belongs in any scrunch alternative comparison run in 2026: Sitecore announced the acquisition of Scrunch on June 3, 2026, describing a combination of Scrunch's insights, recommendations and AXP with its own digital experience platform. That does not mean every Sitecore capability now ships inside the standalone Scrunch offer, and buyers should treat the packaging as subject to change.

Where Scrunch fits

Scrunch suits enterprise teams that want visibility monitoring connected to website analysis and AI-agent delivery, particularly organizations with infrastructure support, enterprise security requirements, or a genuine need to influence how bots consume web content. It also suits teams that already run a separate content production and publishing system and need diagnostics and an optimization layer on top.

The constraint is at the entry tier. Core's one workspace, five users, five monthly audits, one monthly page optimization, 25 site-map pages and limited query fan-out describe a starter allocation rather than a working enterprise deployment, and the four-platform menu sits well below the nine on Enterprise. Buyers evaluating Scrunch at $250 per month are usually evaluating a smaller product than the one the marketing describes.

What Peec does

Peec is a prompt-centered analytics platform for SEO, content, brand, growth and agency teams, and its operating model is stated plainly. Marketers write prompts that mirror the conversational questions real buyers ask an AI, identify competitors, organize prompts with tags and categories, collect repeated answers on a schedule, and interpret the resulting visibility data over time.

The workflow runs in a fixed order: create conversational prompts rather than short keyword queries, organize them, select models and competitors, run them across supported platforms on a recurring schedule, then review visibility, position, sentiment, sources, citations and competitor performance. Findings turn into recommendations such as content gaps, publication opportunities and source outreach targets, exported through CSV, Looker Studio, API or MCP where the plan permits.

Peec runs prompts daily across platforms including ChatGPT, Gemini and Copilot, and uses UI scraping rather than APIs for most tracked engines. The stated intent is to reflect what a real user sees rather than a filtered API response. Because AI answers vary between observations, repeated collection and trend analysis carry more signal than any individual answer, and Peec's documentation is unusually direct about that.

The metrics, defined

Peec's metric definitions are more explicit than most, which is a real advantage when a number has to survive a leadership meeting.

• Visibility: the percentage of AI responses that mention the brand, calculated as responses mentioning the brand divided by total responses, multiplied by 100, viewable daily, weekly or monthly.
• Position: the average ranking of the brand in responses where it appears, with a position closer to one meaning earlier appearance. Position varies by topic.
• Sentiment: a zero-to-100 tone score considering positive, neutral and negative language and context. Peec's documentation observes that most sentiment scores fall between 65 and 85, which is a product-documentation observation rather than an independent market benchmark.
• Share of voice: brand visibility compared against tracked competitors.
• Sources: the websites, articles and other content a model references while generating an answer.
• Citations: the subset of sources explicitly referenced in the visible answer text.

That last distinction is the one most tools blur, and Peec keeps it clean. Knowing which URLs a model consulted, separately from which it displayed, changes what a team does next.

Analysis, reporting and integrations

Beyond the dashboards, Peec offers competitor benchmarking, source and citation analysis, and source classification into Editorial, Corporate, UGC, Reference and Own website. Gap Analysis surfaces sources where competitors are cited and the brand is not, ranked by Gap Score. Peec Actions groups prioritized opportunities across owned pages, editorial coverage, reference sites and UGC communities. Query Fanouts show the related or background searches a model runs while composing an answer, classified as Search, Shopping or Synthetic and groupable by topic or prompt. Cross-dimensional analysis spans topic, model, geography and competitor, and tracked responses carry flags for Ads, Maps, Web Search, Shopping and Product Comparison.

Data leaves the platform through CSV export, a Looker Studio community connector, a REST API returning JSON, and an MCP server that supports conversational querying and batch operations on prompts, topics, tags and tracked brands in groups of up to fifty. Two caveats apply. The API documentation describes the API as in beta with access limited to Enterprise customers, and current pricing material places Looker Studio, API, MCP and SSO in Enterprise or the highest agency tier. Access should be confirmed for the specific plan under consideration.

Pricing and published limits

Brand plans are Starter at $95 per month for 50 prompts, one project, three chosen models, one country per project, daily tracking and unlimited users; Pro at $245 for 150 prompts, two projects and three countries per project; Advanced at $495 for 350 prompts, five projects, three countries per project, multi-country support and Looker Studio; and a custom Enterprise tier with unlimited prompts, projects and countries, all models plus additional models through API, custom prompt setup, API access and SSO. Annual billing saves approximately 15 percent, giving effective monthly rates of $80, $205 and $420. Additional-model add-ons run $35, $85 and $165 per month by tier.

Agency plans are packaged separately: Essential at $245 for 10,000 credits, roughly 111 prompts across three projects and three client seats; Growth at $495 for 25,000 credits, roughly 277 prompts; Scale at $795 for 65,000 credits, roughly 722 prompts with daily or weekly tracking; and a custom Comprehensive tier. Agency tiers include unlimited users, all six default models, AI Shopping and multi-country tracking.

The credit definition deserves attention because it changes the arithmetic. One credit is one prompt tracked on one model for one day. Daily multi-model tracking therefore consumes credits far faster than a headline prompt count suggests, and an agency comparing a 25,000-credit plan against a flat prompt allowance is comparing two different units. The reviewed Peec pricing materials do not state free-trial, refund or cancellation terms.

Where Peec fits

Peec suits SEO, content, brand, growth and agency teams whose immediate need is rigorous prompt-level measurement, competitor benchmarking, source analysis and reporting, and it is a particularly good fit for teams that already run separate systems for content creation, publishing and distribution.

Its limits are stated openly. Peec does not offer content generation, by design. Brand plans cap the customer at three chosen models even though six defaults are listed, so the six-model menu is a company-level maximum rather than a plan-level inclusion. Peec also notes that AI models see HTML only and cannot read behind paywalls or load JavaScript-dependent content, which bounds what any source analysis can observe. And daily tracking is a schedule, not continuous monitoring.

Scrunch AI vs Peec AI on the criteria that decide the purchase

Prompt volume and model coverage

Most of the peec vs scrunch arithmetic turns on this axis. At the entry tier, Scrunch Core buys 125 unique prompts and four named platforms for $250 per month, while Peec Starter buys 50 prompts and three chosen models for $95. Scrunch offers more measurement per plan; Peec offers a materially lower cost of entry and unlimited users. Neither number transfers cleanly, because Scrunch publishes unique prompts alongside audit limits while Peec multiplies prompts by models and days into credits.

Model breadth should always be compared by plan rather than by company maximum. Scrunch Core lists four and Enterprise lists nine. Peec brand plans choose three from six defaults, and Enterprise adds the rest plus further models through API. A comparison built on the marketing-page platform list will overstate both.

Sources, citations and actionability

On source analysis, Peec leads. Its source-versus-citation split, source classification, Gap Score ranking and query fan-out reporting give a content team a specific list of pages to earn coverage on. What Peec does not do is act on that list.

On actionability, Scrunch leads, provided the action is a site audit, a page recommendation, a page optimization or an agent-facing delivery change. The Site Diagnostics loop from finding to prioritized page-level recommendation is the part of scrunch ai vs peec ai where the two products genuinely diverge rather than overlap.

Neither product closes the loop into a published article. Peec says so explicitly. Scrunch lists basic and advanced content generation, but the reviewed materials do not document a calendar-to-publish-to-repurpose workflow, and content generation inside a monitoring tool is not the same thing as a production system with scheduling, brand context and CMS delivery.

Reporting, integrations and team fit

Peec suits teams that want their data in a BI layer, subject to the plan gating on Looker Studio, API and MCP. Scrunch is explicitly enterprise-oriented, with SAML and OIDC SSO, Slack support, onboarding assistance, strategy reviews, executive and board reporting and a dedicated account team at Enterprise. Peec offers unlimited users on brand plans, which is unusual and genuinely valuable for a distributed marketing organization, and separate agency packaging with client seats.

DeepSmith: measurement wired into production

Both products above end at the same place, which is a documented gap. For a marketing lead, that is often the point at which the real problem starts. Resource constraints, not insight, are the recurring barrier content teams report, and a platform that produces more findings without producing more articles adds to the queue rather than clearing it.

DeepSmith is an AI search analytics and content production platform in one. It tracks how AI engines answer questions about a brand, finds the gaps where the brand is invisible or losing, and produces the on-brand content that closes them, from the same data.

On the measurement side, AI Search Visibility reports mention rate, citation rate, share of voice, sentiment and visibility trend, with a per-platform breakdown, a competitor leaderboard and the sources AI cites most. Every tracked prompt carries its own mention and citation rates with full answer history, and Discover Prompts generates a starter set from stored product, persona and buyer-stage context. Pages shows which of the brand's own pages AI actually cites, each page's share of total citations, and the prompts driving them. Competitor citations names which rival wins a prompt, on which exact page, and by platform.

Content Map crawls the brand site and unlimited competitor sites onto one shared taxonomy with Awareness, Consideration and Decision stages, then reports coverage gaps, untapped topics and per-topic depth. Sitemaps are rechecked every 24 hours and new pages fold in automatically. Opportunity Agents read that data and return content ideas with the evidence attached, so each idea carries the specific data point that justifies it rather than arriving as a brainstorm.

Content Studio is where the loop closes. Ideas move from New Ideas to Planned Content to Produced Content, and the Writer turns one planned idea into a finished, brand-grounded article with research, internal and external links, a cover image and publish-ready metadata. Autowrite generates an article on its scheduled date with nobody in the app. Publishing runs straight to WordPress, Webflow, Strapi, Sanity or Contentful, or to webhooks, and every finished article arrives with social posts ready to copy. Deep IQ stores the company positioning, product facts, personas, brand voice, visual guidelines and content types that ground every run, which is what keeps output accurate at volume.

Pricing is Pro at $99 per month, Grow at $199 and Scale at $399, or $80, $160 and $299 on annual billing, plus custom Enterprise. Pro includes 20 articles per month, 50 tracked prompts and five seats; Grow 40 articles, 100 prompts and seven seats; Scale 90 articles, 200 prompts and ten seats. A seven-day free trial applies, with no long-term contracts and no cancellation fees.

The honest boundary is engine coverage. Pro tracks ChatGPT only, Grow adds Perplexity, Scale adds Gemini, and all ten named engines require Enterprise or Custom. For a team whose first question is which buyer prompts mention them, ChatGPT is where most of that research starts, and 50 prompts on ChatGPT plus 20 finished articles is a different proposition from 50 prompts alone. DeepSmith also does not offer an edge middleware layer of the AXP kind. That is a scope difference rather than a gap, and it matters only to buyers whose problem is agent retrieval rather than content coverage.

Which should you choose

Choose Peec if the first question is which buyer prompts mention the brand, which competitors appear alongside it, and which sources influence the answer. Peec's prompt setup, daily tracking, explicit metric definitions, source and citation split, Gap Score analysis and exports are the strongest fit in this comparison for measurement-led teams, and unlimited users on brand plans removes a common seat-cost problem. The tradeoff is that content creation stays somewhere else, and the three-model cap on brand plans narrows the view.

Choose Scrunch if the organization needs enterprise-grade visibility alongside website diagnostics and a path to serve AI agents an optimized content layer. AXP has no equivalent among the alternatives here, and no scrunch alternative comparison should pretend otherwise. The tradeoffs are a $250 entry price against Peec Starter and DeepSmith Pro, Core limits that sit well below the enterprise story, AXP as a separate purchase, and post-acquisition packaging that is worth confirming in writing.

Choose DeepSmith if the team is bottlenecked after measurement and cannot convert competitor citations and visibility gaps into enough accurate, on-brand content. The analytics-to-production loop is the whole design: AEO metrics feed Content Map, Opportunity Agents produce evidence-backed ideas, and Content Studio turns them into published articles with brand context intact. The tradeoff is tiered engine coverage, with Pro on ChatGPT and full breadth reserved for Enterprise or Custom.

Start your DeepSmith free trial and see real visibility data and real drafts before paying anything.