llmranks.io

alternatives to Peec AI

Looking for an alternative to Peec AI?

Most teams looking at Peec are evaluating the European end of the AI visibility category and want a tool with broad engine coverage at a credible mid-market price point.

Peec AI sits in the broad-engine-coverage end of the AI visibility category. If you’re evaluating it, you’re probably looking for something with multi-engine coverage and considering whether the entry-tier prompt allowance is actually enough for your category. Below is a buyer’s framework that applies to any tool in this part of the market — and where LLMRanks fits.

side-by-side · as of 2026-06-10

Peec AI vs LLMRanks at the same price.

Peec data from the public pricing page snapshot above. The six-engine figure for Peec Starter is arithmetic from their published $35/mo per-extra-model price (3 extras on top of the included 3).

Peec AI vs LLMRanks feature comparison, sourced from peec.ai/pricing on 2026-06-10.
FeaturePeec Starter$95/mo · $80/mo billed annuallyLLMRanks Solo$69/mo monthly · $497/yr annual
Entry price$95/mo$69/mo
Prompts tracked50, dailyCredit-metered — you choose prompts, engines, cadence
Engines at entryChoose 3 of 6 (ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, Gemini)3 included (ChatGPT, Gemini, AI Overviews) + Claude, Perplexity, Grok as add-ons
All six enginesFrom ~$200/mo (3 extra models × $35/mo)Credit add-ons per run — no monthly per-engine fee
Diagnosis (root causes, fix cards)Full — clustered, per-prompt, what/why/how
Content generation + publishingBrand-voice articles + one-click publish (WordPress, Shopify, Ghost)
Off-site outreach (Reddit / YouTube / news)Verified contacts + sends from your own Gmail
Free way to try itFree trial (length not stated)Free AI visibility check, no account

Peec AI data sourced from peec.ai/pricing on 2026-06-10. Pricing and feature scope can change — verify against the current page before purchasing.

What to evaluate in any AI visibility tool.

The category has dozens of options now and they don’t all do the same thing. Four criteria separate the tools that move the needle from the ones that just track mentions.

01

Engine coverage at the entry tier

Some tools gate engines behind upgrades — the entry tier covers ChatGPT only and you pay 2-4× more for Gemini, Perplexity, or AI Overviews. Look for tools that include the major AI engines on the entry paid tier, then meter usage transparently.

02

Full pipeline vs tracking-only

Tracking AI mentions is necessary but not sufficient. The tool also needs to diagnose why you're absent (root-cause clustering) and tell you what to do about it (content briefs, off-site playbook, schema fixes). Otherwise you have a metric but no fix list.

03

Off-site playbook depth

Reddit appears in ~40% of AI citations. YouTube and LinkedIn dominate other engines. Most tools tell you that you're absent — only a few tell you which subreddit, which YouTube channel, which Q&A archive to engage with. That specificity is the gap that closes the citation.

04

Public, verifiable pricing

Several category leaders are demo-walled — you can't see the price ladder until a sales rep qualifies you. That's a flag: it usually means pricing flexes by perceived budget, not value delivered. Public pricing builds trust.

where LLMRanks fits

Public pricing. Six engines. Full pipeline.

  • Three AI engines included on every plan (ChatGPT, Gemini, AI Overviews), plus Claude, Perplexity & Grok as credit add-ons.
  • Full pipeline — audit, diagnosis, brand-grounded articles, tracking, and outreach — from $69/mo Solo with credit-based usage.
  • Off-site playbook with named Reddit threads, YouTube channels, G2 categories, and Q&A surfaces specific to your category.
  • Public price ladder ($69 / $129 / $449) with one-time top-up packs. No demo wall.

Frequently asked questions.

  • How many prompts do I actually need to track?

    Most B2B SaaS, e-commerce, and professional-services categories have 30-80 high-intent prompts buyers ask AI engines. In LLMRanks, prompt volume is credit-metered instead of hard-gated by plan: you choose the cadence and engines, see the projected credit draw, and can top up when a category needs more coverage.

  • Should I prioritize engine count or prompt count?

    Engine coverage. The reason: each engine has a distinct citation profile, and you can't see your share-of-voice without measuring all of them. ChatGPT, Claude, Gemini, Perplexity, AI Overviews, and Grok each cite different sources. Tracking 100 prompts on one engine misses more than tracking a focused set across the major engines.

  • Does LLMRanks include the off-site playbook?

    Yes. The off-site playbook is delivered on every paid tier and ships specific Reddit thread names, YouTube channel recommendations, G2 categories, and Q&A archive answer slots tied to your category. Reddit alone appears in ~40% of all AI citations, so the surfaces you engage on matter as much as your own domain content.

  • Can I try LLMRanks without a sales call?

    Yes. Pricing is public, signup is self-serve, and the audit runs as soon as you subscribe — no demo wall, no calendar booking. Plans start at $69/mo and include three engines (ChatGPT, Gemini, AI Overviews), with Claude, Perplexity, and Grok available as credit add-ons.

Peec AI is referenced on this page as a search-term anchor. Where specific feature or pricing claims appear, they are drawn from Peec AI’s own public pricing page at the time of writing — dated snapshots are marked inline where shown. The category reprices often, so verify against Peec AI’s current page before deciding.

Peec AI alternatives — compared honestly · LLMRanks