01
Engine coverage at the entry tier
Some tools gate engines behind upgrades — the entry tier covers ChatGPT only and you pay 2-4× for Gemini or Claude. Look for tools that include all 5 major engines on the entry paid tier.
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.
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.
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 roughly 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. Five engines. Full pipeline.
- All 5 major AI engines (ChatGPT, Claude, Gemini, Perplexity, AI Overviews) on every paid tier.
- Full pipeline — audit, diagnosis, content briefs, off-site playbook, daily tracking — under $100/mo at Standard.
- Off-site playbook with named Reddit threads, YouTube channels, G2 categories, and Q&A surfaces specific to your category.
- Public price ladder ($29 / $99 / $189 / $399). No demo wall. Free audit, no credit card required.
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. Standard tiers across the category usually settle at 50 prompts (LLMRanks Standard, for example) which covers the major intent clusters without padding the count. Pro tiers go to 100 for brands with broader category 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, and AI Overviews each cite different sources. Tracking 100 prompts on one engine misses more than tracking 50 prompts across all 5.
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 about 40% of all AI citations, so the surfaces you engage on matter as much as your own domain content.
Is the free audit really free?
Yes. 15 prompts, 4 engines (ChatGPT, Gemini, Perplexity, AI Overviews — Claude is paid-tier only), full visibility heatmap, biggest gap surfaced. No credit card required, no demo wall, no email-to-unlock. You see the result in 3-5 minutes.
Peec AI is referenced on this page as a search-term anchor only. We don’t make specific feature or pricing claims about other tools because the category reprices quarterly — check Peec AI’s own site for their current offering before deciding.