Competitor Comparisons
SolCrys vs Profound
Profound is the enterprise category leader for AI search; we built SolCrys as a PLG-first AEO workflow product. Most teams should pick one, not both - the right choice turns on whether you need an enterprise data platform with a productized global cross-brand prompt-demand database and server-log Agent Analytics, or a workflow product that gets you from gap to action brief to re-test inside a weekly loop with Corporate Context as the governance layer.
Updated 2026-05-13
Questions this guide answers
- Should I use SolCrys or Profound for AI search visibility?
- What is the difference between SolCrys and Profound?
- Is SolCrys a Profound alternative?
- Which AEO platform is better for a marketing team that is not enterprise yet?
Direct answer
When AI search misses your brand, the two platforms most teams shortlist are Profound and SolCrys. Profound is the enterprise category leader - built for organizations that want a full AI-search data platform with a productized global cross-brand prompt-demand database, server-log-based Agent Analytics, and custom enterprise procurement. We built SolCrys as a PLG-first AEO workflow product - for marketing teams and agencies that want to find an AI answer gap, generate a Corporate Context-grounded action brief, and re-test whether the fix moved the answer, inside a weekly loop. Most teams should pick one, not both.
Disclosure: we build SolCrys, so this is an opinionated comparison. We use Profound's own product pages as the source of truth for what Profound does, and we tell you explicitly when we would recommend Profound over SolCrys.
Scope of this comparison: this is a positioning-level review drawn from each platform's public marketing surface - homepages, product pages, pricing pages. We have not run both products side-by-side on the same workspace, so the comparison is between published positioning and verifiable feature claims, not between practitioner-validated outcomes. Treat it as buyer orientation, not a tested product review.
Side by side
Verifiable facts from each platform's own surface. SolCrys data points come from our live product and pricing pages; Profound data points come from Profound's own product pages, cited at the bottom of this article.
| Dimension | SolCrys | Profound |
|---|---|---|
| Primary positioning | PLG-first AEO workflow product for marketing teams and agencies | Enterprise AI search platform |
| Entry price (published) | Starter $29/mo, Growth $99/mo, Pro $349/mo | Lower tiers published on Profound's pricing page; main / enterprise contract is custom |
| Core loop | Measure - Diagnose - Execute - Verify | Insights + Agents (workflow chaining) |
| Engines covered (paid) | ChatGPT, Gemini, Google AI Overviews / AI Mode; Perplexity on Pro+ | Perplexity, ChatGPT, Claude, Gemini, Grok, Copilot, Meta AI, DeepSeek, Google AI Overviews |
| Distinct data layer | Corporate Context (approved brand facts, claims, proof, voice, competitor framing) as the grounding source for actions; intent-volume label on every generated prompt at workspace scope | Prompt Volumes - a productized global cross-brand prompt-demand database sourced from AI-conversation data at scale |
| Crawler / server-log analytics | Not in scope today; our focus is the answer, citation, and source layer | Agent Analytics tracks AI crawlers and attributes activity to traffic |
| Retail AI (Amazon Rufus, Walmart Sparky, ChatGPT Shopping) | Scoped Retail AI add-on for ecommerce teams that need retail-assistant snapshots and SKU-level action planning | Profound Shopping module for ChatGPT Shopping product visibility |
| Agency plans | Agency $1,499/mo (10 client orgs), Agency Pro $4,999/mo (25 client orgs) | Agency-oriented tier listed on Profound's pricing page; larger engagements custom |
| Read API / MCP | MCP included on paid workspaces with monthly call limits by plan | Not publicly documented |
| Free baseline | Free Audit as a one-time baseline snapshot | No free tier; access via demo |
What Profound does, in their own words
We characterize Profound only from what Profound's own product pages say, and we treat each module as Profound presents it.
Answer Engine Insights
Tracks brand presence across multiple answer engines, how AI describes the brand, which sites it cites, and how the brand compares to competitors. Profound presents Answer Engine Insights with visibility score, share of voice, sentiment, keyword themes, citation authority, and regional / language / platform filters. This is the layer most directly comparable to our AI Visibility Measurement.
Prompt Volumes
Profound describes Prompt Volumes as keyword volumes, topic trends, and intent signals derived from AI-conversation data at scale, productized as a global cross-brand database. We carry an intent-volume signal too - every prompt SolCrys generates for a workspace ships with a high, medium, or low label drawn from keyword and autocomplete evidence for that brand and category. What we have not productized is the global cross-brand index shape; that index is the part of Profound we would not try to reproduce in the short term.
Agent Analytics
Tracks which AI systems crawl your site, how those crawlers behave on your pages, and whether AI-driven activity correlates with human traffic. Profound uses server logs rather than a JavaScript tracker, and the product page lists integrations with infrastructure like Cloudflare, Fastly, Akamai, GCP, Vercel, Netlify, Shopify, and WordPress. We do not have this layer today, by choice - our scope is the answer / citation / source side.
Agents
Profound describes Agents as a no-code workflow layer with smart format recommendations, closed-loop optimization, content refresh, AEO FAQ generation, competitive research, net-new content creation, human-in-the-loop approvals, and CMS integration. This is the most direct counterpart to where we want our AEO Agent to land over time.
Shopping
Profound Shopping covers ChatGPT Shopping product visibility, attribute accuracy, shopper sentiment, SKU-level analysis, shopping mode rate, merchant layer, and feed / structured-data issues. We address the same surface through our scoped Retail AI add-on, with Amazon Rufus and Walmart Sparky as additional engines.
What SolCrys is, in our own words
SolCrys is an AEO workflow product organized around four published platform layers.
AI Visibility Measurement
We measure mentions, citations, share of recommendation, competitors, sentiment, and answer accuracy at the prompt level across the engines included in your plan: ChatGPT on Starter; ChatGPT, Gemini, and Google AI Overviews / AI Mode on Growth; the same set plus Perplexity on Pro. Priority prompts are monitored daily on paid active workspaces, with rolling 7/30-day windows.
Corporate Context Layer
Corporate Context is the governed source of truth for your brand: approved facts, product claims, proof, voice, competitor framing, and guardrails. Every AEO action SolCrys recommends or turns into reviewable work is grounded inside this layer, which is how we keep agentic execution from drifting from your approved positioning. Corporate Context is orthogonal to demand-side data like Profound's Prompt Volumes - they solve different problems (supply-side fact governance vs demand-side intent data) and can coexist in a stack; they are not a fork-in-the-road choice.
AEO Agent
Today, SolCrys turns answer gaps into Deep Analyses, content briefs, comparison sections, FAQ improvements, and source recommendations. Drafting that ships with only minor edits is being built; we deliver the diagnosis and structured brief now, and your content team or our agency partners turn briefs into published copy. If you need a more mature in-platform drafting and CMS-routed publishing loop today and have budget, Profound Agents is more mature on that workflow chain.
Action-to-Result Tracking
After an action ships, we re-run the same prompt set across the same engines and report movement on citation rate, answer accuracy, and recommendation share. Profound has a similar closed-loop ambition inside Agents; the bet we made is on the prompt-set-as-test-grid discipline (the same prompts before and after a fix, with explicit signal vs noise labels) rather than on chained workflow automation.
Where we agree with Profound
We do not pretend the disagreement is everywhere. The places we agree shape the rest of this comparison.
- AI search has moved from a side experiment to a primary buyer surface, and the right product is a workflow that closes the loop from measure to verify, not a static dashboard.
- AI shopping is a distinct surface from generic AI search; product feed structure, merchant data, and SKU-level signals belong in their own module rather than being squeezed into a brand-monitoring view.
- Multi-engine coverage matters; you cannot measure visibility against ChatGPT alone if your buyer journey runs across Perplexity, AI Overviews, AI Mode, and Gemini in parallel.
- Citations and sources are first-class objects, not a footnote on a mention - which is why both products surface them as their own analytical layer.
Where we made different bets
These are the choices that explain who each product is for.
PLG entry vs enterprise-first procurement
We publish prices, sell self-serve starting at $29/mo, and offer a Free Audit as a one-time baseline snapshot so a marketing team can see where AI answers miss the brand before talking to anyone. Profound's GTM is enterprise-first - lower tiers are published on the pricing page, while the main / enterprise contract is custom and demo-led, with no free tier and no self-serve signup. If your team's natural buying motion is procurement and security questionnaires before any pilot, that is a poor fit for SolCrys's current shape and a natural fit for Profound's. If your team wants to start before procurement, the inverse.
Two orthogonal productized data layers
Corporate Context and Prompt Volumes are not the same kind of thing - they are orthogonal investments that solve different problems, not a fork-in-the-road choice. Profound productized a global cross-brand prompt-demand database (Prompt Volumes) sourced from AI-conversation data at scale - that is a supply of demand-side intent signals. We productized a governance layer (Corporate Context) - approved brand facts, claims, proof, voice, and competitor framing that agent actions ground inside - which is a supply of supply-side truth. We carry workspace-level intent-volume signal too (every prompt we generate ships with a high, medium, or low label drawn from keyword and autocomplete evidence), but we have not productized it as a global cross-brand index; that index shape is Profound's specific investment. A team that needs both a global prompt-demand index AND a governed fact layer for agent actions could in principle run both - they answer different questions.
Workflow product vs platform
We ship the loop as a weekly rhythm: gap detected, team reviews briefs, owner ships changes, SolCrys re-tests the same prompt set, monthly before/after report. Profound ships a platform whose internal modules a sophisticated team composes into its own workflow. If your team wants an opinionated weekly cadence with defaults, that maps to SolCrys. If your team wants modular building blocks for an in-house operating model, that maps to Profound.
AEO Agent today vs roadmap
We are explicit about what is shipping versus what is in build. Today SolCrys delivers Deep Analyses and content briefs your team turns into drafts; publish-ready drafting and agent-assisted shipping with CMS integration are being built. Profound Agents is more mature today on workflow chaining and CMS integration. If you need an in-platform agent that drafts, refreshes, and routes through CMS approval today, Profound is the more mature pick; if you can live with structured briefs that your team or agency turns into shipped copy, SolCrys works now.
Crawler analytics: in scope or not
Profound's Agent Analytics layer is a real moat - server-log-based, with infrastructure integrations - and we are not trying to build a competing layer today. If understanding which AI crawlers visit your site and whether that activity converts into human traffic is a primary buying criterion, Profound is the better choice. Our scope is the answer layer (what AI says about you) and the source layer (which pages get cited). We would rather make those layers excellent than build a thinner version of Profound's strengths.
When you should pick Profound (we mean this)
If your team meets several of the criteria below, we genuinely think Profound is the right choice and we would rather you buy what fits your job than buy us.
- Procurement, security review, SSO/RBAC, and DPAs need to clear before any pilot - Profound's enterprise packaging is built for this; ours is being built up to it.
- You want a productized prompt-volume data layer for AI demand research, comparable to how keyword-volume databases inform SEO strategy.
- Server-log Agent Analytics is a primary buying criterion - you need to attribute AI crawler activity to specific pages and downstream traffic.
- You need an in-platform agent that drafts, refreshes, and publishes through CMS integration today, not on a roadmap.
- You have an enterprise annual budget and the buying motion to support a custom contract.
When you should pick SolCrys
And these are the buying signals we built SolCrys for.
- You want to run a Free Audit and a paid baseline before any procurement conversation - $29/mo Starter or $99/mo Growth is your natural entry.
- Corporate Context as a governance layer for what agents say about your brand is more load-bearing for you than a global cross-brand prompt-demand database is.
- You are an agency packaging AEO as a service line - our Agency plans are built around client workspaces, white-label reporting, and pitch audits rather than seat count.
- You sell on retail (Amazon Rufus, Walmart Sparky) and want a scoped Retail AI add-on rather than a separate enterprise procurement track.
- You want the weekly workflow rhythm (gap detected, briefs reviewed, change shipped, re-tested, monthly before/after) without composing it yourself from platform modules.
- You would rather we be honest about what is shipping today vs what is being built, even when that means we tell you Profound is more mature on certain modules.
Sources
FAQ
Is SolCrys just a cheaper Profound?
No, and we would push back on framing it that way. Cheaper-than-X is a fragile strategy: it loses the moment the competitor cuts price or adds a smaller tier. The product shapes are different in three ways that are not just price-driven: Corporate Context as a productized governance layer (orthogonal to Profound's productized global cross-brand Prompt Volumes index - they solve different problems), PLG entry as our GTM (vs Profound's enterprise-first procurement), and a weekly workflow product (vs a platform you compose). The price difference is a consequence of those choices, not the choice itself.
Does SolCrys have a prompt-volume database like Profound's Prompt Volumes?
Yes - just shaped differently. Every prompt SolCrys generates for a workspace today carries a real intent-volume signal, bucketed as high, medium, or low, drawn from keyword and autocomplete evidence for that specific brand and category. What we have not productized is a global AI-conversation prompt-demand index at Profound's scale - that index shape is genuinely hard to replicate as a startup. The intent-volume signal we ship is workspace-specific and lives inside the prompt set, not as a standalone database product. If your buying motivation is access to a global AI-prompt-volume index for cross-brand demand research, pick Profound; if you want verified intent volume on the prompts you actually track in your own workspace, SolCrys ships that today.
Can SolCrys publish content automatically like Profound's Agents?
Not today. Today we deliver Deep Analyses and content briefs your team turns into drafts. Publish-ready drafting and agent-assisted shipping with CMS integration are being built. Profound's Agents module is more mature on workflow chaining and CMS integration; if you need that loop in-platform today, that is a real reason to pick Profound.
Should we use both?
Usually no. For most teams, two AEO platforms means duplicate measurement, conflicting scores, and integration overhead. We can see a stack where Profound handles enterprise global cross-brand prompt-demand research plus Agent Analytics and SolCrys handles agency client delivery or retail-assistant snapshots, but that is a specific procurement pattern, not a default recommendation.
Why is this comparison published by SolCrys?
Because pretending we are neutral would be worse. Buyer guides written by category participants shape the buyer's mental model whether or not we participate, and we would rather you have our honest take next to Profound's product pages than have to assemble it from scratch. We do not quote Profound's blog or research as authority - only Profound's own product pages. If you find a factual error about Profound here, tell us and we will correct it.
Related guides
Buyer Guides
AEO Platform Buyer's Guide 2026: 10 Questions to Ask Every Vendor
A practitioner buyer guide for choosing an AEO/AI visibility platform in 2026. The 10 questions that separate dashboard tools from execution platforms, plus the red flags to avoid.
Buyer Guides
AI Visibility Dashboard vs AEO Execution Engine
AEO platforms split into two architectures: dashboards measure and report; execution engines diagnose, fix, and verify. This guide compares 6 use cases, walks through 5 real scenarios, and ends with a decision tree.
Buyer Guides
How to Run a 30-Day AEO Platform Pilot Without Wasting Budget
A structured 30-day pilot framework for AEO platforms — pre-pilot setup, week-by-week timeline, exit criteria, and the common pilot anti-patterns that produce wrong purchase decisions.
Free AI visibility audit
Find out where your brand is missing, miscited, or misrepresented.
SolCrys maps high-intent prompts to mentions, citations, answer accuracy, and content gaps so your team can prioritize the next pages to ship.