Peec Ai Answer Engine Tracking

• Peec AI monitors how a brand appears when buyers ask questions inside AI answer engines.
• Pricing is the first place reports disagree, and the reason is dated plans and currencies.
• Engine count is the second point of divergence between Peec AI's plans and its broader coverage.
• The price tag understates cost because usage is metered.
• Peec AI and Profound target the same buyer, but they weigh depth differently.

Peec AI monitors how a brand appears when buyers ask questions inside AI answer engines. According to Peec AI, the platform separates an explicit brand mention from a citation. A citation occurs when the engine links a source page such as a G2 listing, a Reddit thread, or a news article. That distinction matters for several reasons:

• A mention shows the model recognizes the brand name.
• A citation shows which external pages the model trusts enough to link.
• Visibility and position show where the brand ranks within an answer.
• Sentiment and source domains show whether authority comes from the brand's own site or from third parties.

Teams using Fastlook's Citation Analytics track the same signal alongside AI Feed freshness. Specifically, this turns gaps into actions rather than leaving them as dashboard numbers.

Pricing is the first place reports disagree, and the reason is dated plans and currencies. According to Dupple, the Starter plan is €85 per month billed yearly for 50 prompts and the Pro plan is €205 per month for 150 prompts. According to AEO Labs, self-serve plans run $95 to $495 per month and agency plans run $245 to $795 per month, all with unlimited seats. According to AI Tools Coop, Starter is $95 per month (from $80 billed annually) with 50 prompts, Pro is $245 per month (from $205 billed annually) with 150 prompts, and Advanced is $495 per month (from $420 billed annually) with 350 prompts. These figures come from reviews published at different dates, so confirm the current price on Peec AI's pricing page before budgeting.

Dupple lists Starter at €85 and Pro at €205 billed yearly, so the currency and billing basis change the headline number.

Engine count is the second point of divergence between Peec AI's plans and its broader coverage. According to Dupple, each Peec AI plan lets users choose 3 of 6 trackable engines: ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot, Perplexity, and Gemini. According to Perform.AI, Peec AI's enterprise page lists eleven tracked models, adding Claude, DeepSeek, Grok, Mistral, and Qwen. The practical reading is that the default allocation covers three engines, while broader coverage is an enterprise or add-on question. Teams should confirm which models their contract includes before assuming full coverage. Fastlook's Brand Memory, by contrast, tracks citations across six engines as part of every plan, which gives a wider default view without a separate allocation decision.

The price tag understates cost because usage is metered. According to Perform.AI, Peec AI defines monthly AI answers as tracked prompts multiplied by active models and tracking frequency. Peec AI lets teams track hourly, daily, or weekly, so a 50-prompt set across three engines checked daily generates far more answers than the same set checked weekly. According to AEO Labs, prompt limits per tier mean prompt sets must be scoped before choosing a plan. Scope first: define the buying-stage queries that matter, choose the engines your buyers use, then pick a frequency. Overspecifying prompts is the most common budget leak.

Peec AI and Profound target the same buyer, but they weigh depth differently. According to Dupple, Peec AI's enterprise analytics are lighter than Profound's, and it covers three engines per plan by default. Peec AI's strength is price-to-coverage: unlimited seats and daily tracking appear even on the entry tier. Profound suits teams that need heavier analytics per engine. Neither product, on the sourced evidence, closes the loop from visibility gaps to published pages. That step is where Fastlook's Page Engine and AI Feed differ, turning gaps into citation-ready content rather than stopping at a report.

Limitations to weigh before you buy are prompt caps, engine allocation, and metered answers. Peec AI is strong at measurement, but measurement is only half the job. Prompt caps, engine allocation per plan, and metered answers mean a team tracking broadly will hit a ceiling and face a plan upgrade. The platform also does not, from the sources reviewed, publish the content that earns the citations it reports. Specifically, a tracker alone shows the gap without closing it. Teams need a process to act on visibility gaps.

• Prompt caps limit how many buyer queries can be tracked.
• Engine allocation limits which AI engines are covered by default.
• Metered answers grow with frequency and active models.

Start with the one-week trial, which Dupple reports is available without a credit card. Then test your scoped prompt set before committing to an annual plan.

Related guides

• AI Answer Engine Tracking Tools: Pick by Job and Quota
• AI Answer Engine Audit Services: What Gets Measured
• AEO Explained: How to Get Cited by AI Answer Engines
• Answer Engine Rank Trackers: What Actually Matters in 2026
• AI Answer Engine Ranking Tool: Track Citations Across