# Sam vs. Peec AI: Which Should You Choose in 2026? | Enrich Labs > Sam vs Peec AI compared on AI-search measurement, content execution, SEO coverage, and pricing. See which GEO tool fits your team's workflow. _Source: https://www.enrichlabs.ai/blog/sam-vs-peec-ai_ --- ## TLDR **Sam and Peec AI both show you how your brand appears in AI search, but Peec is a measurement and analytics platform while Sam measures and then does the work.** Peec AI is a clean, well-funded Berlin-built analytics tool tracking brand visibility, citations, sentiment, and competitor share of voice across ChatGPT, Perplexity, Gemini, Google AI Overviews, AI Mode, and more, with transparent published pricing tiers. It tells you exactly where you stand; acting on that data is your team's job. Sam tracks the same AI-search visibility plus organic rankings, then writes and publishes the content to close the gaps, and covers classic SEO — keyword research, on-page, Search Console analysis — with pricing available on request. Choose Peec if you want a focused analytics dashboard and have people to execute. Choose Sam if you want measurement plus execution in a single affordable agent. ## Sam vs. Peec AI at a glance Dimension Peec AI Sam (Enrich Labs) Core job AI-search analytics and measurement Measure + execute SEO and GEO Engines covered ChatGPT, Perplexity, Gemini, Google AI Overviews, AI Mode, Microsoft Copilot; more on higher tiers AI engines (ChatGPT, Perplexity, Google AI Overviews) plus Google organic Prompt tracking Yes — 50 to 350+ tracked prompts depending on plan Tracks AI-search visibility as input to execution Citation/source analysis Yes — identifies which domains AI engines cite Yes — used to target content gaps Competitor benchmarking Yes, core feature Yes, within visibility tracking Writes & publishes content No Yes Classic SEO No — AI-search only Full (keyword research, on-page, GSC analysis) Technical SEO No On-page fixes as part of execution Reporting & integrations Dashboard, Looker Studio, CSV export, API, MCP Email updates from the agent, publishing tools + GSC Interaction model Dashboard you log into Email, Slack, or web — agent-driven Target market Marketing teams, SEO/GEO agencies Small teams that want execution included Pricing Transparent published tiers (EUR) Available on request; free trial ## What each tool actually is **Peec AI** is an AI-search analytics platform founded in Berlin in early 2025. It answers one question with unusual clarity: how does your brand show up when people ask AI engines about your category? You define a set of prompts that matter to your business, Peec runs them daily across the AI models you select, and the dashboard shows your visibility, position, sentiment, the sources each engine cites, and how you stack up against named competitors. The product has grown fast — Peec raised a $21M Series A in late 2025 and reports thousands of marketing teams as customers — and its reputation among SEO practitioners is genuinely good: clean interface, no feature bloat, transparent pricing published on [peec.ai/pricing](https://peec.ai/pricing). What Peec deliberately is not: an execution tool. It does not write content, publish anything, or touch your site. It also has no classic-SEO layer — no keyword research, no rank tracking for regular Google results, no on-page workflows. It is analytics for the AI-search channel, done well. **Sam** is Enrich Labs' AI SEO and GEO agent. Sam measures both AI-search visibility and organic visibility, then acts on what it finds: it does keyword research, on-page optimization, and Google Search Console analysis, writes content targeted at the gaps, and publishes it. Sam works over email, Slack, or a lightweight web app rather than an analytics dashboard, and shares intelligence with Enrich's other agents — Kai (listening) and Helena (campaigns) — so what Sam learns about how AI engines talk about your brand feeds the rest of your marketing. Pricing is available on request, with a free trial at [the Sam page](https://www.enrichlabs.ai/ai-seo-geo-agent). The honest framing: Peec is a measurement instrument; Sam is a measurement instrument attached to a worker. ## AI-search measurement depth ### Peec AI: purpose-built, more granular If pure AI-search analytics depth is your scoring criterion, Peec wins. It was built for exactly this and the feature set shows it: - **Prompt tracking.** You choose the prompts that matter — "best CRM for startups," "top project management tools" — and Peec tracks how each AI engine answers them daily, with visibility and position trends over time. - **Engine coverage.** ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, and Microsoft Copilot are all in the lineup, with additional models (Claude, DeepSeek, Mistral, and others) available on higher tiers or as paid add-ons — up to 11 models tracked on Enterprise. - **Source and citation analysis.** Peec shows which domains each engine pulls from when it answers your prompts — editorial sites, Reddit threads, LinkedIn, your competitors' blogs. This is the most actionable data in the product, because it tells you where to earn mentions. - **Competitor benchmarking and sentiment.** You see share of voice against named competitors and how the models frame your brand, not just whether you appear. - **Geographic segmentation.** Higher tiers track prompts per country, which matters for multi-market brands. For a team running a serious GEO program across markets and engines, this is a strong instrument panel. ### Sam: measurement in service of execution Sam tracks how AI engines cite your brand and how you rank organically, and benchmarks against competitors — but its measurement exists to feed a work queue, not to populate a dashboard. When Sam sees AI engines answering a category question by citing three competitors and not you, that observation becomes a brief, then a draft, then a published page. You get less analytical surface area than Peec offers; you get an outcome instead of a chart. If your team would mostly use Peec's granularity to decide what to write next, Sam collapses that decision into the action itself. ## Traditional SEO coverage This is the clearest structural gap between the two. ### Peec AI: none by design Peec has no classic-SEO layer. No keyword research, no organic rank tracking, no on-page recommendations, no Search Console integration. That's a deliberate product choice, not an oversight — but it means Peec is always a second tool in your stack. You still need something for the channel that, for most businesses, drives the majority of search traffic today. ### Sam: SEO and GEO in one motion Sam treats classic search and AI search as one problem. It does keyword research, on-page optimization, and Google Search Console analysis alongside [generative engine optimization](https://www.enrichlabs.ai/blog/generative-engine-optimization-geo-complete-guide-2026), because in practice they overlap heavily: the well-structured, authoritative content that ranks in Google is largely the same content AI engines cite. Running both from one agent means one strategy, one content pipeline, and no reconciling two tools' conflicting priorities. If you already have Ahrefs or Semrush plus an SEO team, Peec slots in beside them cleanly. If you don't, Sam replaces the need for that stack at the entry level. ## Content execution and publishing ### Peec AI: insight stops at the dashboard Peec surfaces recommendations and opportunity suggestions, and its citation data makes the "what to do" reasonably obvious. But the doing is entirely on you: someone reads the dashboard, decides which gaps matter, briefs a writer, edits the draft, publishes it, and checks back in a few weeks. Peec's customers tend to be teams that already have this muscle — in-house content teams and agencies who want better targeting data, not more hands. ### Sam: the loop closes automatically Sam's core differentiator is that it writes and publishes the content itself. Gap identified, content written, content published, results tracked — one agent, all four steps. You review over email or Slack rather than operating a dashboard, which suits founders and lean teams who want the output without owning the process. The trade-off is real: Sam's analytics are less polished than Peec's, and you're trusting an agent's editorial output rather than your own writers'. But for teams without spare execution capacity, an article that ships beats a perfect brief that sits in a backlog. ## Technical SEO Peec doesn't touch your site at all — no crawler, no on-page audit, no fix workflow. Whatever technical or on-page issues are suppressing your visibility, you'll need another tool to find them and a developer or SEO to resolve them. Sam's on-page optimization and Search Console analysis cover the fundamentals: it identifies what's underperforming in Google's own data and fixes on-page issues as part of its execution work. It's not an enterprise site-audit platform, but basic hygiene actually gets handled instead of appearing on a report. ## Reporting and integrations Peec is the stronger pure reporting product. The dashboard is the interface, and it exports well: a Looker Studio connector for building client-facing dashboards (a big deal for agencies), CSV exports, an API for automation, and a recently launched MCP integration that lets AI assistants query your Peec data directly. Enterprise adds SSO. Note that Peec's current published integration list centers on Looker Studio, API, CSV, and MCP — not the Slack/Notion/Segment set sometimes attributed to it in older comparisons (Peec's Slack presence is a support community, not an integration). Sam inverts the model: instead of you pulling reports from a dashboard, the agent pushes updates to you over email or Slack — what it measured, what it wrote, what it published, what moved. There's no Looker connector; the reporting is the conversation. Sam integrates with publishing tools and Google Search Console because those are where its work happens. Agencies that live in client reporting decks will prefer Peec's model; operators who want a weekly "here's what I did" will prefer Sam's. ## The pricing reality ### Peec AI: transparent, prompt-based tiers Peec deserves the credit it gets for pricing transparency — real numbers on a public page, in EUR, in a category where "book a demo" is the norm. The published structure has four tiers: **Starter** (50 tracked prompts, 3 models, 1 project, unlimited users, daily tracking), **Pro** (150 prompts, 2 projects), **Advanced** (350 prompts, 5 projects, multi-country tracking, Looker Studio integration), and **Enterprise** (custom — all models, API access, SSO, unlimited projects). Extra AI models beyond your plan's included three are paid add-ons, and there's separate agency pricing for tracking prompts across multiple client brands. Check [peec.ai/pricing](https://peec.ai/pricing) for current figures. Two things to note. Costs scale with the prompts and models you track, so a serious multi-engine program lands on the upper tiers. And whatever you pay Peec buys measurement only — the budget for acting on the data (writers, agencies, your team's hours) sits on top. ### Sam: pricing on request, execution included Sam's pricing is available on request, with a free trial at [Sam's page](https://www.enrichlabs.ai/ai-seo-geo-agent), and the price includes the part that costs real money everywhere else: the content actually getting written and published. Comparing the two on price alone is slightly unfair to Peec — they sell different things — but the total-cost math matters: Peec plus the human execution to act on it is a materially larger monthly spend than Sam doing both. ## Who should choose Peec AI - You have an in-house content team or agency that can execute, and your bottleneck is knowing _what_ to do, not doing it. - You're an SEO/GEO agency and need clean, client-ready AI-visibility data — the Looker Studio connector and agency pricing are built for you. - You run a multi-market brand and need per-country prompt tracking across many engines. - Your classic SEO is already covered elsewhere, and you want the best standalone instrument for the AI-search channel specifically. Within that scope, Peec is one of the best-liked tools in the category, and its transparent pricing means no sales cycle to trial it. ## Who should choose Sam - You're a founder or small marketing team without spare capacity to turn dashboards into published pages. - You want classic SEO and GEO handled together instead of coordinating separate tools. - You'd rather get email updates from an agent that did the work than log into another dashboard. - You'd rather pay for one agent whose price includes execution than a mid-tier analytics subscription plus content costs — request pricing and evaluate with the free trial. - You use (or plan to use) Enrich's other agents — Sam shares intelligence with Kai and Helena, so search insights flow into listening and campaigns. ## What a month actually looks like The cleanest way to compare the two is to follow one citation gap through a month. **With Peec:** Week one, the dashboard shows that when prospects ask ChatGPT and Perplexity for tools in your category, the engines cite two competitors and a Reddit thread — never you. Peec's source analysis shows which domains drive those citations. Week two, someone on your team interprets this, decides a comparison page is the answer, and briefs a writer. Weeks three and four, the draft comes back, gets edited, gets published. Next month, you check Peec to see if the citations moved. The data was excellent at every step — and every step after the data was your team's time. **With Sam:** The same gap gets detected, and Sam writes the comparison content, publishes it, and keeps measuring. Your involvement is reading the email explaining what it found and shipped, and reviewing the output. Re-measurement happens automatically because the agent that published the page is the same one tracking the prompt. Neither loop is wrong. The Peec loop gives you full editorial control and deeper analytics at each decision point, at the cost of your team's hours every month. The Sam loop trades some control for the gap actually being closed without anyone's calendar getting involved. Be honest about which constraint binds you: information or execution capacity. ## Final verdict Peec AI is the right choice for marketing teams and agencies that want the cleanest dedicated AI-search analytics dashboard on the market and have the people to act on what it shows — it's a well-built, fairly priced instrument that does its one job well. Sam is the right choice for teams that want AI-search and organic visibility measured _and_ the content written, published, and re-measured by the same agent, with classic SEO included — pricing available on request. If you have execution muscle, Peec sharpens it. If you don't, Sam is the execution muscle. Start a free trial at [enrichlabs.ai/ai-seo-geo-agent](https://www.enrichlabs.ai/ai-seo-geo-agent). ## Sam vs. Peec AI FAQs **Is Sam or Peec AI better for AI visibility tracking?** For pure tracking depth, Peec: daily prompt tracking across ChatGPT, Perplexity, Gemini, Google AI Overviews, AI Mode, and Copilot, with citation analysis, sentiment, and competitor benchmarking. Sam tracks AI-search visibility too, but its purpose is to act on the data — writing and publishing content to close the gaps, with classic SEO alongside. **Does Peec AI create or publish content?** No. Peec is a measurement and analytics platform — it surfaces recommendations and shows which sources AI engines cite, but writing, publishing, and technical fixes stay with your team. Sam does both the measurement and the execution. **Which AI engines does Peec AI cover?** Peec's published lineup includes ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, and Microsoft Copilot, with additional models like Claude, DeepSeek, and Mistral available on higher tiers or as add-ons. Plans include a set number of models; tracking more costs extra. **Does Peec AI handle regular Google SEO?** No — Peec has no keyword research, organic rank tracking, or on-page tooling. It's AI-search analytics only, so most teams pair it with a classic SEO stack. Sam covers keyword research, on-page optimization, and Search Console analysis together with GEO in one agent. **How does pricing compare?** Peec publishes transparent EUR tiers — Starter, Pro, Advanced, and Enterprise — priced by tracked prompts (50, 150, and 350 on the named tiers) and number of AI models, with agency pricing available. Sam's pricing is available on request, with a free trial — and it includes content execution, not just analytics. **Can Sam replace Peec AI?** If you want measurement plus execution in one place, yes — Sam tracks AI-search and organic visibility and then does the work. If you specifically need Peec's analytics depth — per-country tracking, Looker Studio reporting, many engines — and have your own execution team, Peec is the better standalone dashboard. Some teams run both: Peec for reporting, Sam for shipping. **Who is Peec AI best for?** Marketing teams and SEO/GEO agencies that already have content execution covered and want a clean, exportable view of AI-search visibility. Its agency pricing and Looker Studio connector make it especially popular with agencies reporting to clients. ## Related comparisons and guides - [Sam vs. Profound: Which Should You Choose in 2026?](https://www.enrichlabs.ai/blog/sam-vs-profound) - [Sam vs. MEGA AI: Which Should You Choose in 2026?](https://www.enrichlabs.ai/blog/sam-vs-mega-ai) - [Sam vs. AirOps: Which Should You Choose in 2026?](https://www.enrichlabs.ai/blog/sam-vs-airops) - [Generative Engine Optimization (GEO): complete guide](https://www.enrichlabs.ai/blog/generative-engine-optimization-geo-complete-guide-2026) - [SEO marketing for small business](https://www.enrichlabs.ai/blog/seo-marketing-for-small-business-2026-guide)