SolCrys vs Peec AI

Questions this guide answers

• Should I use SolCrys or Peec AI for AI search visibility?
• What is the difference between SolCrys and Peec AI?
• Is SolCrys a Peec AI alternative?
• Which platform exports data more cleanly to a BI pipeline?

Direct answer

Peec AI describes itself as 'AI search analytics for marketing teams.' Its center of gravity is a clean analytics surface - brand mentions, impressions, sentiment, citation tracking, and multi-brand comparison views, with strong exports through Looker Studio integration, API access, MCP integration, and SSO on higher tiers. Peec tracks ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Perplexity, Gemini, and Grok across all tiers per their pricing page. We built SolCrys as a PLG-first AEO workflow product anchored on Corporate Context governance and the answer-gap-to-action-brief-to-re-test loop. The honest choice: clean analytics with a BI-friendly export pipeline, or measurement plus diagnosis plus briefs plus verification inside one weekly workflow.

Disclosure: we build SolCrys, so this is opinionated. We use Peec's own product and pricing pages as the source of truth for what Peec does.

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.

What Peec AI does, in their own words

We summarize Peec's capabilities from peec.ai's homepage and pricing page so the comparison is grounded in their own positioning.

• Stated tagline: 'AI search analytics for marketing teams' - the product is positioned as analytics-first.
• Stated purpose: 'Metrics like brand mentions, impressions, and sentiment are hard to track - which is why Peec AI is so powerful: it shows how LLMs are framing our brand.'
• Named capabilities from the homepage: Set up Prompts, Use Data to Pick Winners, Add Brands (multi-brand comparison), Choose AI Models, Find Key Sources, Act on Insights, Powerful exports, Looker Studio integration, API access.
• Pricing-page features called out: Looker integration, API access, MCP integration, Single sign on (SSO). Support is Chats + Email on Pro and Advanced; Dedicated Support on Enterprise.
• Engines tracked on all tiers per their pricing page: ChatGPT, AI Mode, AI Overviews, Microsoft Co-pilot, Perplexity, Gemini, Grok.

What SolCrys is, in our own words

SolCrys is an AEO workflow product organized around four published platform layers.

• AI Visibility Measurement - mentions, citations, share of recommendation, competitors, sentiment, and answer accuracy at the prompt level across plan-included engines, with daily monitoring on priority prompts and rolling 7/30-day windows.
• Corporate Context Layer - approved brand facts, claims, proof, voice, and competitor framing as the governed source for every AEO action.
• AEO Agent - today SolCrys turns answer gaps into Deep Analyses, content briefs, comparison sections, FAQ improvements, and source recommendations. Publish-ready drafting and agent-assisted CMS shipping are being built.
• 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.

Where we agree with Peec

The places we agree shape the rest of the comparison.

• Citation tracking, sentiment, and brand framing in LLM answers are first-class objects worth measuring at the prompt level.
• Multi-brand comparison is a real need - your brand against your competitors in the same prompt is more useful than your brand alone.
• Clean BI exports matter - marketing teams that already have a data pipeline want AEO data to flow into the same surface.
• Broad multi-engine coverage at the entry tier is the right default; engines should not all be add-ons.

Where we made different bets

These are the choices that explain who each product is for.

When you should pick Peec AI (we mean this)

If your team meets several of the criteria below, we would rather you buy what fits your job than buy us.

• Your need is analytics with clean BI exports - Looker Studio is your downstream consumption surface.
• API access is a primary buying criterion - you want to pipe AEO data into custom dashboards or automated pipelines.
• Multi-brand comparison views are central to how your team thinks about AI visibility.
• Broad engine coverage at every tier (ChatGPT + AI Mode + AI Overviews + Copilot + Perplexity + Gemini + Grok) is a stronger preference than a workflow loop with deeper diagnosis.
• Your action layer is satisfied by 'Act on Insights' recommendations rather than a separate structured brief workflow.

When you should pick SolCrys

And these are the buying signals we built SolCrys for.

• Analytics alone is not enough - you want measurement, diagnosis, briefs, and re-test as a loop.
• Corporate Context as a governance layer for what agents say about your brand matters.
• You are an agency packaging AEO as a service line and want client workspaces and white-label reporting as dedicated tiers (Agency $1,499 / Agency Pro $4,999).
• You sell on retail and want Amazon Rufus, Walmart Sparky, and ChatGPT Shopping as a scoped Retail AI add-on.
• You publish prices and want a Free Audit plus paid Starter $29 entry rather than negotiating dollar amounts up the tier ladder.

Sources

• Peec AI homepage
• Peec AI pricing
• SolCrys pricing
• SolCrys Answer Engine Optimization

FAQ

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