Peec AI alternative: when a subscription is wrong for you
By Vladimir Boldyrev · LLMBrandScan · Published August 10, 2026
What Peec AI is, and who it is right for
Peec AI is a Berlin company selling continuous AI visibility analytics to marketing teams. Our July 2026 competitive review recorded a Starter plan at 89 euros per month and a Pro plan at 199 euros per month, base coverage of ChatGPT, Gemini, Perplexity and Google AI Overviews with Claude sold separately as a +$35-165/month add-on (per our August 2026 review), $29M raised, and more than 1,500 teams at over $4M ARR after ten months. An August 2026 category review recorded an 85 euro entry price, $10M ARR at sixteen months, and 2,500 customers.
Those two records disagree — on the entry price by four euros, and on scale because five months separate them. Both are printed above with their dates instead of being blended into a single figure neither source actually states. Treat them as what they are: snapshots. If the exact number matters to your decision, read it off Peec's own pricing page today.
The honest reading of that growth is that Peec found real demand for affordable ongoing tracking. Two and a half thousand paying customers in sixteen months is not a fluke, and if you want a clean dashboard with a monthly trend at a price a mid-market team can approve without a procurement cycle, Peec is a reasonable purchase and this page is not going to argue otherwise.
The actual decision: a trend line or a diagnosis
Almost every comparison in this category argues about features. The feature lists have converged — run a prompt set across several engines, count mentions and citations, show share of voice against competitors. The decision that actually changes what you should buy is the shape of your question, not the length of the feature table.
You need a chart that updates weekly and someone on the team looks at it
Subscription tracking. That is what it is built for.
You need to answer one question, once, and act on the answer
A one-time scan. $19 to $249, then nothing.
You are billing a client for an AI visibility audit as a deliverable
A one-time scan with exportable raw data you can put in the deck.
You have already fixed things and want to know whether the fix moved anything
A comparable re-scan, or scheduled monitoring on the same scan.
Several stakeholders need logins and alerting thresholds
Subscription tracking. Per-seat dashboards are not what a scan is.
A subscription is a bet that the number will keep changing in ways you will keep responding to. That bet is often correct — and it is also the reason unused monitoring seats are the most commonly cancelled line in a marketing stack. The one-time scan makes the opposite bet: you need a reliable reading, you need it dated, and after you have acted on it the tool should stop charging you.
Two buyers this page is written for
An agency auditing a client's AI visibility
The deliverable is a report, not a login. You need the client's category questions run across the engines their buyers actually use, the competitors that took the slots, the sources the models cited, and enough raw material to write recommendations. A monthly seat for a client you may not retain past the engagement is overhead; a per-audit cost you can pass through is not.
A $149 Standard scan runs 25 questions x 6 engines x 3 samples = 450 answers, exportable to CSV, XLSX and PDF.
A brand re-checking itself each quarter
You are not watching a live dashboard. You want a defensible reading now, you make changes over the following weeks, and you want the next reading to be comparable to the last one rather than a different prompt set producing a different number. Cloning the same scan keeps the comparison honest, and the report shows the deltas.
A $249 Deep pack is 7 credits: one Deep scan (5 credits, 720 answers) plus two Light re-scans at 1 credit each.
When Peec AI is the better buy
If your team needs inexpensive ongoing monitoring with per-seat access and a maintained dashboard, buy Peec. A purpose-built subscription product with 2,500 customers behind it will do that job better than a scan tool with monitoring bolted on, and the honest comparison stops there.
For completeness: LLMBrandScan does offer optional monitoring on top of a completed scan — $15 per month for a Light re-run, $39 for Standard, $65 for Deep. It re-runs your existing scan on a schedule so the readings stay comparable. It is a continuation of a scan you already bought, not a platform subscription, and it is deliberately secondary to the product. If a dashboard is the thing you are shopping for, you are shopping for Peec.
The comparison in one paragraph
Peec AI is a Berlin-based AI visibility platform aimed at the mid-market, and its growth is the clearest evidence that low-priced continuous monitoring sells. A July 2026 competitive review recorded Starter at 89 euros per month, Pro at 199 euros per month, $29M raised, and more than 1,500 teams at over $4M ARR in ten months. An August 2026 follow-up recorded 85 euros per month, $10M ARR at sixteen months, and 2,500 customers. Those two snapshots disagree, and both are printed here rather than averaged into a number neither source states. LLMBrandScan is not a cheaper version of that product; it is a different purchase. One audit costs between $19 and $249, samples every category question three times on each of six engines — Claude included, no upsell — and returns a dated report with the raw answers and cited sources attached, exportable as CSV, XLSX or PDF. Peec sells the trend line you watch every month. LLMBrandScan sells the diagnosis you act on once.
Related comparisons and background
If your shortlist reaches further upmarket, the Profound comparison covers the enterprise end with the same sourcing discipline. For the underlying concepts, see why a one-time check is not always enough, the measurement definitions, and AEO vs GEO if the vocabulary in vendor pitches is still doing more work than the substance.
Frequently asked
- What does Peec AI cost?
- Two dated snapshots, both reproduced rather than averaged. Our July 2026 competitive review recorded a 89 euro/month Starter plan and a 199 euro/month Pro plan with custom enterprise pricing above that. An August 2026 category review recorded an 85 euro/month entry price. Check the vendor's own pricing page for a current figure — both numbers here are as-of snapshots, not live quotes.
- Is a one-time AI visibility audit enough, or do I need monitoring?
- It depends on whether your question has an end. A first audit answers 'are we named in AI answers for our category, and who takes the slot instead' - that is a finite question with a dated answer. Monitoring answers 'is this changing', which is only worth paying for monthly once you have acted on the first answer and want to see whether the action worked.
- Which engines does each tool cover?
- As of July 2026 Peec AI's base plan covered ChatGPT, Gemini, Perplexity and Google AI Overviews, with Claude available only as a paid add-on (+$35-165/month depending on tier, per our August 2026 review). LLMBrandScan runs six engines in the base scan at no extra charge: an API-grounded ChatGPT proxy, an API-grounded Claude proxy, Perplexity Sonar, grounded Gemini, Grok with live search, and Google AI Mode. Both tools can now reach ChatGPT, Gemini, Perplexity and Claude — the difference is that Claude is a paid line item on Peec and included here. Grok stays ours alone, and Google AI Mode is a distinct surface from AI Overviews.
- Can I re-run the same scan later to compare?
- Yes. A completed scan can be cloned into an identical re-run - same questions, same engines, same sample count - so the second report is comparable to the first rather than a fresh set of prompts producing incomparable numbers. Each re-run costs its depth in credits, and the report shows the deltas against the earlier scan.
See where you actually stand — not a guess.
LLMBrandScan runs your category's questions live across up to 6 AI engines and reports the observed range across samples, with a Strong / Emerging / Noisy signal label — not a single lucky answer, and no promise about where you'll rank.
$19 = 90 live answers across 3 engines · pay per scan · ranges, not fake precision
More AI-visibility guides.
- What Generative Engine Optimization (GEO) Actually MeansThe definition, how it differs from SEO, and why 'optimizing for AI answers' is a different job than optimizing for a ranked list.
- Answer Engine Optimization (AEO): Myths vs. FactsAEO, GEO, and LLM SEO get used interchangeably online. Here's what's actually true about each — and where the myths come from.
- How to Create an llms.txt File (Step by Step)A working llms.txt template, what belongs in it, and an honest read on what it does and doesn't do for AI visibility.
- AEO vs. GEO: A Head-to-Head ComparisonThe two acronyms compared axis by axis — origin, scope, mechanics, what each one measures — and a decision rule for which one your work actually is.
- GEO vs. AEO vs. LLM SEO: What's the Actual Difference?Three overlapping terms for three overlapping-but-distinct jobs. A disambiguation guide so you stop guessing which one you need.
- What Is AI Visibility, and How Is It Actually Measured?The metrics the category has converged on — Visibility Score, Share of Voice, first-mention — explained from first principles.
- How to Improve Your Odds of Being Recommended by ChatGPTSeven concrete, testable levers — and three things that don't work no matter how confidently they're sold to you.
- How Perplexity Chooses Sources to CiteThe mechanics of Perplexity's citation model, what makes a page citable, and how to track whether you're being cited at all.
- Optimizing for Google AI OverviewsWhat triggers an AI Overview, how it differs from classic SGE and organic ranking, and a practical checklist to work through.
- AI Brand Monitoring: Why a One-Time Check Isn't EnoughAI answers drift month to month. What ongoing monitoring actually requires, and the DIY-vs-tool tradeoffs honestly laid out.
- AI Share of Voice: The Formula and a Worked ExampleThe exact formula, a worked numeric example with real arithmetic, and how it maps onto the classic marketing metric it's borrowed from.