DeepSmith vs Scrunch: AI Visibility Analytics vs Analytics Plus Content Production

Teams evaluating DeepSmith vs Scrunch are usually resolving one question before any feature grid matters: whether the platform's job ends when the visibility gap is documented, or continues until an article exists that closes it. Both products belong to the category of ai visibility analytics tools, and both report how AI answer engines describe a brand, which sources those engines cite, and how the brand stands against a defined competitor set. The divergence appears at the point of action. Scrunch converts its findings into content briefs and optimization guidance that a writing team executes elsewhere. DeepSmith converts the same class of findings into finished, publish-ready articles inside the platform, then publishes them to a connected CMS. The choice of DeepSmith or Scrunch therefore turns less on dashboard depth than on where the buying team's actual constraint sits: in seeing the problem clearly, or in producing the content that resolves it.

A second variable entered this comparison in mid-2026: Sitecore acquired Scrunch on June 3, 2026, placing the product inside a Digital Experience Platform strategy. That changes the calculus differently for Sitecore customers and for everyone else, and the sections below treat it as a real factor.

DeepSmith vs Scrunch at a glance

The table summarizes both platforms on the dimensions that tend to decide the purchase. Scrunch publishes two tracks, one for brands and one for agencies; the figures below reflect the brands track unless noted.

The sections that follow take each product in turn, then compare them criterion by criterion.

Scrunch: monitoring, auditing, and an agent delivery layer

Scrunch is an AI visibility and Agent Experience Platform. It monitors how a brand appears across answer engines, audits whether the site is legible to AI crawlers, generates optimization recommendations and content briefs, and serves structured content to agents through a delivery layer that leaves the human-facing site unchanged.

What Scrunch measures

Scrunch AI visibility monitoring tracks brand presence, position inside AI responses, sentiment, citation sources, and shopping and AI search results across the engines a plan covers. Prompt tracking supports both industry-standard and custom prompts with trend views over time, and an in-app assistant called Scrunchie answers questions against the analytics. Citation analysis identifies which third-party sources the engines draw on for the brand and for competitors, the audit-grade view teams use to understand why a rival appears and they do not. Competitive benchmarking supplies share-of-voice and presence comparisons against that competitor set.

Two capabilities have no counterpart on the DeepSmith side. Bot and crawler analytics, delivered through a Google Analytics integration, show which AI engines are visiting the site and which pages they request. The Agent Experience Platform delivers structured, agent-readable content to crawlers without altering what human visitors see.

What Scrunch recommends rather than produces

Scrunch's content optimization output is guidance. It generates content briefs and on-page recommendations covering schema, sitemaps, and heading structure, then hands them to the team that will write and ship the work. Scrunch does not generate finished long-form articles inside the platform, does not carry a content calendar or scheduling workflow, does not publish to WordPress, Webflow, or Strapi, and does not produce social or distribution assets from a finished piece. That is a design choice rather than an oversight: the product assumes execution capacity already exists in the organization.

Scrunch pricing and limits

Brand Core runs $250 per month and includes 125 tracked prompts, five audits per month, one workspace, five seats, and four engines: ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. Agency Core is $500 per month with the same envelope oriented toward agency use. Above Core, pricing is custom and requires sales engagement, which is where API access, up to nine engines, and the fuller Agent Experience Platform feature set become available. A 7-day free trial is offered.

Where Scrunch stops short

The constraint is production, and it is structural. A team that adopts Scrunch and finds thirty content gaps has thirty briefs and no additional writing capacity, so the cost of acting on the analysis lands entirely outside the subscription. Enterprise pricing is not published, making total cost harder to model before a sales conversation. Post-acquisition, roadmap priorities may reasonably favor the Sitecore ecosystem, and integration depth with non-Sitecore content stacks may not attract equivalent investment. None of these points diminish the measurement layer, which is genuinely broad; they define who it is sufficient for.

DeepSmith: the same signals wired into production

DeepSmith is one platform for AI search analytics and content production. It is a production engine rather than a writing assistant, and the output is a finished, publish-ready article rather than a first draft to rescue.

What DeepSmith measures

The AEO module reports mention rate, citation rate, share of voice, sentiment, and visibility trend, broken out per platform, with a competitor leaderboard and a view of the sources AI engines cite most often. The Prompts view holds the tracked questions with per-prompt mention and citation rates plus full answer history, and Discover Prompts generates a starter set from stored product, persona, and buyer-stage context instead of a blank portfolio. The Pages view attributes citations to specific URLs, showing each page's share of total citations and the prompts driving them. Mention rate and citation rate are treated as distinct signals throughout, because the two respond to different interventions.

Ten engines are covered in total, listed in the table above, and coverage scales by tier rather than arriving all at once: Pro tracks ChatGPT, Grow adds Perplexity, Scale adds Gemini, and Enterprise covers all ten.

What DeepSmith produces

Production is where the two platforms stop being comparable. Content Map decides what to write next: every page on the team's site is classified onto a granular topic and funnel stage, and unlimited competitor sites are mapped onto that same taxonomy, so the comparison is like for like. Two outputs fall out of it, coverage gaps where a competitor publishes more than the team on a shared topic, and untapped topics where a competitor publishes and the team has nothing, both kept current by a 24-hour sitemap re-check.

Content Studio turns those ideas into articles. New Ideas holds the single backlog and feeds a Planned Content calendar that supports individual and bulk scheduling. The Writer converts one planned idea into a finished, brand-grounded article with research, internal and external links, a cover image, and publish-ready metadata. Autowrite runs the same workflow without a person in the app: an article is configured at planning time and writes itself on its scheduled date into Produced Content. From there the piece can be previewed, revised in body and metadata, given a regenerated cover, and published to WordPress, Webflow, Strapi, Sanity, Contentful, or a webhook, with Markdown and HTML export as a fallback.

Deep IQ makes that volume survivable, storing brand context as structured data: company positioning and claim boundaries, per-product profiles, buyer personas, brand voice settings, visual guidelines, and reusable content-type templates. Every module reads from it, so output holds its voice and product accuracy at volume without re-briefing each article. The same Content Map index that surfaces the gaps also drives internal linking and ideation dedup, so each new article connects to what already exists instead of duplicating it. Distribution then arrives with the article rather than after it: every finished piece ships with social posts already written, and the Apps Library adapts it into platform-native versions for LinkedIn, X, Medium, Substack, newsletter email, Reddit, and more.

DeepSmith pricing and limits

Pro is $99 per month, or $80 per month billed annually, with 20 articles, 50 tracked prompts, five seats, and ChatGPT coverage. Grow is $199 per month, or $160 annually, with 40 articles, 100 prompts, seven seats, and ChatGPT plus Perplexity. Scale is $399 per month, or $299 annually, with 90 articles, 200 prompts, ten seats, and Gemini added. Enterprise is custom across every limit, covers all ten named engines, and adds 1:1 expert onboarding and a dedicated account manager. A 7-day free trial provides real data and real drafts before payment, and there are no long-term contracts or cancellation fees.

Where DeepSmith stops short

The tier ladder is the thing to price carefully: Pro at $99 reports on ChatGPT alone, and the full ten-engine set sits at Enterprise, so a brand whose buyers research on Copilot or AI Overviews should budget above the entry tier. Human review also remains part of the workflow, since publish-ready describes the state of the draft rather than a promise of zero oversight, and no platform among ai visibility analytics tools can guarantee a citation, a ranking, traffic, or revenue.

DeepSmith vs Scrunch by criterion

Engine coverage per dollar

At the entry price Scrunch casts the wider net: four engines including Perplexity, Google AI Overviews, and Microsoft Copilot on day one, where DeepSmith Pro reports on ChatGPT alone. For a brand whose buyers demonstrably research across Copilot and AI Overviews, that day-one breadth counts. On the DeepSmith side both engines sit in the tracked ten, so this is a tier question rather than a coverage one.

The bound on that advantage is price and payload. Scrunch Core costs $250 per month; DeepSmith Grow costs $199 per month, adds Perplexity, and includes 40 finished articles in the same subscription. A team can therefore buy two-engine tracking plus production for less than four-engine tracking alone, and at Scale, $399 buys three engines, 200 prompts, and 90 articles. At the ceiling the breadth comparison reverses: DeepSmith Enterprise covers ten engines against Scrunch's up to nine, with Grok marked coming soon on the Scrunch side. Neither ceiling is publicly priced, while DeepSmith's published tiers make total cost modelable up to Scale.

Prompt volume and audit cadence

Scrunch Core's 125 tracked prompts exceed DeepSmith Pro's 50 and Grow's 100. Prompt portfolio size matters, because a portfolio too small to cover branded, unbranded, and competitor questions produces a distorted read of visibility. DeepSmith Scale carries 200 prompts, more than Scrunch Core, at $399 against $250, with 90 articles attached. Scrunch therefore offers more prompts per dollar at the bottom of the range, and DeepSmith more prompts plus production capacity at the top. Scrunch also meters five site audits per month at Core, a cadence suited to periodic technical review rather than continuous monitoring.

From finding to fix

This is the axis the comparison resolves around. Both platforms will tell a team that a competitor owns the citations for a high-intent prompt. Scrunch will additionally produce a brief describing what the replacement page should contain. DeepSmith will produce the page, link it internally against the existing Content Map, attach a cover image and metadata, and publish it.

The value of that difference is contingent, not absolute. Where a team already employs writers with spare capacity, briefs are the correct output and integrated production is redundant spend. Where the backlog of identified gaps consistently outruns the team's ability to write, the analytics-only path converts a visibility problem into a staffing problem, and the subscription that documented the gap does nothing to close it. Opportunity Agents shorten that distance at the front of the pipeline: an agent reads the brand's own visibility or Content Map data and returns ideas with the justifying data point attached to each, so what enters production is evidence-backed rather than brainstormed.

Brand context and consistency at volume

Scrunch's brand configuration covers brand identification and competitor definitions, which is all its analytics require. Because humans execute its recommendations, deeper brand encoding is unnecessary on its side of the handoff.

DeepSmith carries Deep IQ because the system itself writes. Positioning, claims to make and avoid, product profiles, personas, voice, visual guidelines, and content types are stored once and applied to every generated article. The practical consequence is that brand consistency across a content operation stops depending on whether each writer read the style guide. Setup is real but front-loaded: onboarding populates the layer from the existing website, and output quality then tracks the accuracy of what it stores.

Crawler diagnostics and agent delivery

For a technical SEO function owning crawl accessibility, Scrunch's bot analytics and its Agent Experience Platform are directly useful, and DeepSmith does not compete on either.

Both also operate upstream of the question most content teams are trying to answer. Crawler analytics establish whether pages are being fetched; DeepSmith's Pages view reports which pages are actually being cited. Agent-readable delivery improves how existing content is served, which presupposes the content already exists. Neither capability creates coverage where a topic is missing, and a delivery layer applied to a thin page yields a well-formatted thin page.

Ownership and roadmap independence

The Sitecore acquisition cuts in two directions honestly. For a Sitecore customer it is a clear gain: AI visibility signals integrating into Content Marketing, CMS, and Digital Asset Management workflows, with briefing-to-publishing tightening inside a stack the organization already runs. Scrunch continues under its own brand, with Chris Andrew remaining as CEO, and non-Sitecore customers are not being migrated.

For everyone outside that stack the risk is directional rather than immediate. Roadmap attention tends to follow the acquiring platform's customers, and integration investment for non-Sitecore content stacks may not keep pace. A team choosing a scrunch ai alternative on these grounds is not reacting to a degraded product; it is weighing whose roadmap to depend on over a multi-year horizon. DeepSmith's independence is a point in its favor here: its roadmap answers to content and marketing teams rather than to a Digital Experience Platform strategy.

Which should you choose

The decision resolves once the team names its own bottleneck accurately.

Choose Scrunch when measurement and technical diagnosis are the mandate. The content operation already functions, in-house or through an agency, and does not need another writing system. What is missing is a reliable read on presence, position, sentiment, and citation sources across four engines from the entry tier onward, plus visibility into how AI crawlers actually interact with the site. Scrunch earns the pick specifically on four-engine coverage at the entry price, 125 prompts at Core, bot and crawler analytics, agent-readable content delivery, and native fit for organizations standardized on Sitecore. For a team in that position, a scrunch ai visibility subscription is not a compromise; it is the correctly scoped instrument.

Choose DeepSmith when production is the constraint. Content is a growth channel, identified gaps outrun capacity to write, and the objective is more published on-brand articles per month without adding headcount. DeepSmith fits when SEO and AEO structure should be applied during creation rather than in review, when brand voice and product accuracy need to hold at volume through stored context, and when internal linking, cover images, metadata, and hands-off production through Autowrite are the recurring manual costs. The entry price of $99 against $250 sharpens the case for smaller teams, and every tier includes an article allowance rather than metering analytics alone.

For organizations weighing both, neither product substitutes for the other's strongest feature: crawler diagnostics and agent delivery on one side, integrated production on the other. Lead with whichever bottleneck costs more today, run both trials against an identical prompt set, and revisit the second function once the first is under control. Teams that want to test the production side directly can start a DeepSmith free trial and see real data and real drafts against their own brand context before committing.