Competitor Comparisons

SolCrys vs Peec AI

Peec AI is an analytics-first AI search platform with a clean dashboard, published pricing ($95 to $495 a month self-serve in the US), strong exports, a large MCP tool set, and Actions (in beta), which ranks what to fix. SolCrys is a governed AEO execution platform. The choice, as of September 2026: strong analytics with ranked recommendations your team carries out, or a Measure → Diagnose → Execute → Verify loop that routes each approved fix through an owner and re-tests the same prompts afterward.

Published 2026-05-13 · Updated 2026-09-26

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?
How much does Peec AI cost, and which engines does it track?

Direct answer

Peec AI describes itself as AI search analytics for marketing teams. As of Sept. 26, 2026, its self-serve plans (Starter $95, Pro $245, and Advanced $495 a month in the US) each track 3 models you choose, with extra models sold as add-ons and up to 13 on Enterprise. Around the dashboard it has added Actions (in beta), which ranks site-audit, owned, and earned opportunities with evidence and a suggested brief; fact-checking of AI answers against brand facts you set; an agent that works from company context; and an MCP server with read and write tools. SolCrys is a governed AEO execution platform built around Corporate Context and the Measure → Diagnose → Execute → Verify loop. The honest choice: strong analytics with ranked recommendations your team carries out, or a loop that routes each approved fix through an owner and approval gate and re-tests the same prompts afterward.

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

Scope: this is a positioning-level review drawn from each platform's public pages. We have not run both products side by side on the same workspace, so treat it as buyer orientation, not a tested product review.

Side by side

Verifiable facts from each platform's own pages, as of Sept. 26, 2026.

Dimension	SolCrys	Peec AI
Primary positioning	Governed AEO execution platform for marketing teams and agencies	AI search analytics for marketing teams
Published pricing	Free workspace (10 ChatGPT prompts, 1 content audit); Starter $99/mo; Pro $399/mo; Custom from $2,000/mo	Starter $95/mo (50 prompts), Pro $245/mo (150), Advanced $495/mo (350); €85, €205, and €425 in Europe; Enterprise custom
Engines	Starter: ChatGPT, Gemini, Google AI Overviews. Pro: any 4 of 5 (adds Perplexity and Claude to the choice). Custom: all 5	Self-serve: choose 3 models from ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Gemini, and Naver AI; extra models, including Perplexity, as add-ons; Enterprise up to 13, including Claude, Grok, and DeepSeek
Center of gravity	Measure → Diagnose → Execute → Verify, with Corporate Context as governance	Analytics dashboard with brand comparison, source analysis, and exports
After a gap is found	Deep Analyses and Content Audits; Action Hub tasks with an owner and human approval; re-run of the same prompts after the fix	Actions (beta): ranked recommendations with evidence and a suggested brief; you implement and update the status, and an Impact view charts visibility around those status changes; per Peec, it doesn't write content
Brand facts	Corporate Context (org-level approved facts, claims, and voice); Answer Accuracy grades answers against it	Facts you set per brand, used to fact-check claims in AI answers; company and project context for Peec's agent
Data access	MCP server (18 tools, 2 opt-in writes); CSV export; no public REST API	MCP server (50 read and 42 write tools); API (pricing page shows Pro and up, docs say Enterprise); Data Studio connector on Advanced and up; CSV exports
Seats	No seat meter	Unlimited users on every plan
Agency plans	Agency $1,499/mo (10 client orgs); Agency Pro $4,999/mo (25); white-label reporting delivered as a service	Credit-based agency plans from $245/mo, with white-label reporting, client users, and pitch projects
Retail	Retail AI add-on (Amazon Alexa for Shopping; Walmart Sparky coverage delivered as a service)	AI Shopping with product catalogs and SKU-level tracking

What Peec AI does, in their own words

We summarize Peec's capabilities from peec.ai/pricing, peec.ai/pricing-agencies, docs.peec.ai, and Peec's Actions announcement, as of Sept. 26, 2026.

Stated positioning: "AI search analytics for marketing teams," with a visibility overview of "your visibility, position, sentiment, and share of voice, tracked daily against competitors."
Source analytics: citation share, retrievals, and source classification (competitor, editorial, reference, UGC), plus brand perception, attributes, and objections.
Act: gap analysis, recommended actions grouped by earned and owned, and agent actions built from pre-built and custom skills. Peec's docs describe Actions as "a ranked list of specific improvements" with a suggested brief, and its launch post says Actions "doesn't write content for you."
Fact-checking: tracked prompts whose AI answers are checked against facts you set about your brand.
Data access: MCP server (OAuth or personal access token), API, Data Studio connector, and CSV exports.
Discovery: prompt suggestions and a relative prompt-volume score from 1 to 5.
AI Shopping: product catalog upload and SKU-level tracking.

What SolCrys is, in our own words

SolCrys is a governed AEO execution platform built around one loop: Measure → Diagnose → Execute → Verify.

Measure: daily monitoring of mentions, citations, and competitors across the engines in your plan, plus a per-answer Recommendation Score (0–100, with every point tied to quoted answer text).
Diagnose: Deep Analyses for prompt, answer, citation, and source gaps; Content Audits for page answer-readiness; and Answer Accuracy, which grades AI answers against your Corporate Context.
Execute: approved recommendations become Action Hub tasks with an owner and a human approval step. Your team publishes in its own CMS; SolCrys has no CMS connector and never publishes on your behalf.
Verify: SolCrys re-runs the same frozen prompt set on the same engines, and a Content Audit re-audit shows whether a page's score recovered. Before/after movement is an observation, not proof of cause.
Corporate Context: approved facts, claims, proof, voice, and competitor framing, set at the organization level as the governed source for every action.

Where we agree with Peec

The places we agree shape the rest of the comparison.

Citations, sentiment, and brand framing in AI answers are first-class objects worth measuring at the prompt level.
Competitor comparison is a real need: your brand against competitors on the same prompt is more useful than your brand alone.
Data should flow to where teams work, whether that's a BI tool, an export, or an AI assistant over MCP.
Recommendations need evidence: Peec's Actions and our Deep Analyses both tie each suggestion to the sources behind it.
Brand facts belong in the product: Peec's fact-checking and our Answer Accuracy both check AI answers against facts the brand sets.

Where we made different bets

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

Ranked recommendations vs a governed execution loop

Peec's Actions ranks what to do and tracks status; your team decides, writes, and ships. SolCrys routes each approved recommendation into an Action Hub task with an owner and an approval gate, then re-runs the same prompt set after the fix. Neither product publishes to your site: SolCrys never publishes on your behalf, and Peec says Actions doesn't write content. The difference is how much of the path from recommendation to re-test the product holds.

Broad data access vs narrow write scope

Peec's MCP server lists 50 read tools and 42 write tools that can create, update, or delete brands, prompts, topics, facts, and action statuses. SolCrys's MCP server exposes 18 tools; the 2 write tools are opt-in and narrow (for example, marking an approved Action Hub task as published), and there is no public REST API. If you want an assistant to reconfigure projects, Peec goes further; if you want assistants to read evidence without changing configuration, ours is narrower by design.

Fact-checking vs Corporate Context governance

Both products now store facts about your brand. Peec uses them to fact-check AI answers and gives its agent company and project context. SolCrys's Corporate Context is set at the organization level and governs execution as well as measurement: Answer Accuracy grades answers against it, and recommendations are grounded in the same approved facts. A team can use either for fact-checking; the difference shows up when fixes are produced.

Pick your engines vs pick your plan

Peec's self-serve plans let you choose 3 models and add more for a fee, with the widest list on Enterprise. SolCrys sets engines by plan: Starter covers ChatGPT, Gemini, and Google AI Overviews, and Pro covers any 4 of 5, including Perplexity and Claude, without add-ons. Peec offers more engines overall, including Microsoft Copilot and Google AI Mode, which SolCrys doesn't track.

When you should pick Peec AI (we mean this)

If your team meets several of these criteria, we'd rather you buy what fits your job than buy us.

Your need is analytics with clean exports, and Looker Studio (Data Studio) or a BI tool is where your team consumes data.
You want broad programmatic access: an MCP server with write tools, plus an API.
You need Microsoft Copilot, or on Enterprise models such as Grok and DeepSeek, which SolCrys doesn't track.
Unlimited users on every plan matters for a large marketing team.
A ranked, evidence-backed action list is enough, because your team already has a content workflow to carry it out.
You're an agency selling reporting and want published, credit-based agency plans with white-label reporting.

When you should pick SolCrys

And these are the buying signals we built SolCrys for.

Analytics alone isn't enough: you want measurement, diagnosis, approved tasks, and a re-test of the same prompts as one loop.
Corporate Context matters as a governance layer for what gets said about your brand, not only for fact-checking.
You want 4 engines, including Perplexity and Claude, on one plan without add-ons (Pro tracks any 4 of 5).
You're an agency packaging AEO execution as a service line and want client-organization capacity (Agency $1,499 or Agency Pro $4,999), with white-label reporting delivered as a service.
You sell through retail assistants and want Amazon Alexa for Shopping as a Retail AI add-on, with Walmart Sparky coverage delivered as a service.

Sources

FAQ

Is Peec AI a SolCrys alternative?

They are different shapes in the same category. Peec is an analytics-first dashboard with strong exports, a large MCP tool set, and Actions, which ranks what to fix; SolCrys is an execution platform with Corporate Context governance and a loop that routes approved fixes through an owner and re-tests the same prompts. If your need is analytics plus a ranked to-do list, Peec; if you need measurement, approved tasks, and re-tests in one workflow, SolCrys.

Does Peec have something like Corporate Context?

Partly, as of September 2026. Peec lets you set facts about your brand and uses them to fact-check AI answers, and its agent works from company and project context. What we didn't find on Peec's public pages is an approval workflow that routes each recommendation to a named owner and reviewer. Peec does track the same prompts daily, and its Impact view charts visibility around when each action moved to in progress or done. If that changes, tell us and we'll update this page.

Does Peec AI track Claude and Perplexity?

Per Peec's pricing page on Sept. 26, 2026, self-serve plans choose 3 models from a list that includes ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Gemini, and Naver AI; Perplexity is listed among the add-on models, and Claude among the Enterprise models. SolCrys Pro can track both Perplexity and Claude as 2 of its 4 engines.

Should we use both?

Usually no. Two AEO platforms with overlapping measurement means duplicate cost and conflicting scores, because each vendor samples and scores differently. Pick the model that matches your team: analytics plus recommendations (Peec) or a governed execution loop (SolCrys).

Why is this comparison published by SolCrys?

Because pretending we are neutral would be worse. We don't quote Peec's blog research as authority, only Peec's own pricing pages, documentation, and product posts about its own features. If you find a factual error here, tell us and we will correct it.

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