Peec AI Citation Analysis Review
An independent evaluation of Peec.ai's citation analysis for AI visibility tracking: the used vs cited distinction, 6-engine coverage, reported pricing, and how it compares to Profound, Bluefish, and Brandlight.
Bottom line
Aiso rates Peec.ai at roughly 79% on citation attribution accuracy — how precisely it maps citations back to the correct source URL or domain — and roughly 87% on share-of-voice precision across its six AI engines. These are Aiso's directional scores from an internal assessment survey using a structured rubric, completed during hands-on review and cross-checked against Peec's published materials. They are not independently audited precision / recall benchmarks. The company (which says it raised approximately $29M / €25M total, including a ~$21M / €18M Series A in November 2025) has built one of the most accessible citation-analysis tools in the category at ~$89/month for three engines on the base plan. Main catches: tier-based prompt caps (25 / 100 / 300+), 3-class sentiment only, and no native Claude coverage.
Confidence: High for relative strengths and directional ranking. Moderate for exact percentages — directional, not audited. Peec does not publish precision / recall benchmarks.
This review is maintained by the team at Aiso, an AI-search visibility platform behind a 5x AI-visibility lift for Particle and AI-visibility programs for brands like Sophia High School and Stay Unique.
Citation analysis capabilities
Citation analysis in the context of AI visibility means measuring how often an AI engine surfaces your brand or content in its answers, and in what form. The distinction matters because AI engines behave differently: some explicitly list source URLs in their responses (cited), while others draw on your content to construct an answer without naming you (used). A tool that conflates the two will overstate or understate your true AI footprint depending on which engines it covers and how it counts attribution.
Peec AI makes the used vs cited split explicit, which is one of the rarer features in the category. According to Peec's own materials, it tracks both the frequency with which your domain and individual URLs appear in AI-generated answers (cited) and the broader signal of how often your content influenced a response without an explicit link (used). This gives marketing teams a fuller picture of their AI footprint than citation-count alone.
Peec's engine breadth is another distinguishing factor. It covers ChatGPT, Perplexity, Gemini, Microsoft Copilot, Google AI Mode, and Google AI Overviews. Most tools in this price tier cover three or four engines, so six is meaningful — the caveat is that Claude (Anthropic) is absent, which matters if that model is part of your audience's search behavior.
When evaluating any citation-analysis tool, the questions to press on are: (1) how are prompts sampled — are they representative of real user queries or curated by the vendor? (2) what is the sampling frequency — how often are prompts re-run to capture model drift? (3) is sentiment assigned by the tool or by a secondary model, and what is the precision? Peec does not publish audited figures on sampling frequency or sentiment precision as of June 2026, so treat these as areas to validate directly if they are decision-critical for your use case.
The Looker Studio connector is a practical advantage for agencies and larger marketing teams that already have data infrastructure. Rather than exporting CSVs, teams can pull Peec citation data directly into existing dashboards alongside organic search, paid, and other digital performance signals. Whether this is a differentiator depends on your stack, but it does lower the operational cost of ongoing AI visibility monitoring.
Measurement approach
- Used vs cited distinction (rare in the category)
- Domain and URL-level citation frequency
- Sentiment analysis (positive / neutral / negative)
- Regional visibility breakdowns
- Cross-engine consistency view
AI engine coverage
- ChatGPT (OpenAI)
- Perplexity
- Gemini (Google)
- Microsoft Copilot
- Google AI Mode
- Google AI Overviews
How we assessed this
The citation attribution accuracy and share-of-voice precision scores above are Aiso's own internal assessment results, not Peec's published figures. The assessment survey uses a structured rubric and triangulates each score from:
- An internal assessment survey completed during a structured, hands-on review of the product's citation capabilities
- Peec's published product materials, pricing pages, and launch posts
- Cross-checking claims against public third-party reviews
- Verified funding data (Peec's ~$29M / €25M total; ~$21M / €18M Series A, November 2025)
Where a number could not be traced to a primary, methodology-backed source, we mark it as reported or directional. Peec does not publish audited precision / recall figures, prompt-sampling design, or independent validation — which is why precision-critical use should be validated directly with the vendor. We refresh this page as new public information appears.
This is an expert assessment survey, not a customer-opinion survey and not a labeled test set measuring statistical precision or recall. The percentages express the rubric result and should be used to compare relative capability, not as a certification of output accuracy.
Key features evaluation
Strengths
- Used vs cited distinction (rare in the category)
- Domain and URL-level citation frequency
- 6 engines covered: ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, AI Overviews
- Sentiment analysis (positive / neutral / negative)
- Google Looker Studio connector for custom dashboards
- Regional visibility breakdowns across multiple countries
- 14-day free trial available
Areas for improvement
- Starter tier capped at 25 prompts and 3 countries
- Pro ($199/mo) needed for 100 prompts and 5 countries
- Enterprise ($499/mo) required for 300+ prompts and 10+ countries
- No native Claude (Anthropic) coverage
- Sentiment is 3-class only (positive / neutral / negative)
- No published audited precision / recall figures
Accuracy metrics breakdown
Citation attribution accuracy
- Maps citations to correct source URL or domain
- Used vs cited split reduces conflation errors
- No audited precision / recall published by Peec
Share-of-voice precision
- Brand presence correctly identified vs noise
- 6 engines increases cross-platform reliability
- Sentiment precision not independently validated
Figures are Aiso's directional assessments, triangulated from a structured capability review, Peec's own materials, and hands-on testing. Not independently audited. See how we assessed this.
Competitive analysis
| Feature | Peec AI | Profound | Bluefish | Aiso |
|---|---|---|---|---|
| Entry pricing | ~$89/mo | ~$99/mo (ChatGPT only) | Quote-based (~$299+) | $99+/mo |
| Engines covered | 6 | 4 (Enterprise tier) | 4 | 5 |
| Used vs cited distinction | Yes | No | Source-level only | Yes |
| URL-level tracking | Yes | Domain-level | Yes | Yes |
| Claude coverage | No | No (entry) | Yes | Yes |
| Free trial | 14 days | No | Sales demo only | Yes |
Reported / estimated ratings compiled from vendor materials and third-party reviews; not independently audited. See how we assessed this. Funding context: Profound has raised $155M+ (Series C); Bluefish $24M; Peec ~$29M / €25M.
Pricing and value
Peec publishes self-serve pricing, which is unusual in this category. The base Starter plan covers 3 engines; additional engines cost approximately €20–30 each per month (reported from public sources). Confirm current quotas and add-on pricing directly with Peec.
Starter
~$89/mo
25 prompts, 3 countries, 3 engines
- All core engines (base 3)
- Used + cited tracking
- 14-day trial
Pro
~$199/mo
100 prompts, 5 countries
- Looker Studio connector
- Sentiment analysis
- Competitor benchmarks
Enterprise
~$499/mo
300+ prompts, 10+ countries
- Higher quotas
- Multi-region tracking
- Priority support
Pricing and quotas reported from public sources as of June 2026; confirm current figures with Peec before buying. Additional engines beyond the base 3 cost approximately €20–30 each per month (reported).
What to trust Peec for, and what to verify
Trust it for
- Used vs cited distinction for detailed citation attribution
- URL-level and domain-level citation frequency
- Directional trends across six AI engines
- Regional and multi-country visibility benchmarking
- Marketing-team workflows via Looker Studio integration
Verify before relying on
- Exact citation-accuracy figures used in reporting (none published)
- Claude or other unlisted engine coverage
- Pricing and quota specifics before buying (these change)
- 5-class or topic-level sentiment granularity
- Enterprise governance features (SSO, audit logs)
Recommendations
For marketing teams on a budget
Peec is one of the most accessible entry points in the category at ~$89/month, with the used vs cited distinction that many pricier tools lack. Start with the 14-day trial to validate prompt coverage before committing.
For Looker Studio users
If your team already runs dashboards in Looker Studio, Peec's native connector saves meaningful setup time. Verify the connector supports your specific prompt volumes before signing up.
For brands needing Claude or higher sentiment depth
Consider Aiso for Claude coverage, transparent reproducible methodology, and more than 6 months of historical trend data — important when you need the full LLM landscape or need to audit how every number was produced.
Frequently asked questions
What does Peec AI's citation analysis track?
Peec AI distinguishes used citations (where your content informed an AI answer) from cited citations (where your URL is explicitly named), and tracks both at domain and URL level across six AI engines: ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, and AI Overviews. These feature details are drawn from Peec's own materials and public reviews, not independently audited.
How much does Peec AI cost?
Peec AI's base plan starts at approximately $89/month (or roughly €89/mo in Europe) covering 3 engines; additional engines cost approximately €20–30 each per month. Published plans report a Pro tier at ~$199/month (100 prompts, 5 countries) and an Enterprise tier at ~$499/month (300+ prompts, 10+ countries). Pricing is reported from public sources and may change, so confirm current quotas with Peec before buying.
Does Peec AI cover Claude?
No. Peec AI covers ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, and AI Overviews, but does not offer native Claude coverage as of June 2026. If Claude monitoring matters for your brand, you will need a tool that tracks it — such as Aiso.
How does Peec AI compare to Profound, Bluefish, and Aiso?
Peec is among the cheaper entry points (~$89/mo) and is one of the few tools with a used vs cited distinction and URL-level tracking. Profound (which has raised $155M+ and reports 100M+ queries/month) starts higher and is ChatGPT-first at entry; Bluefish ($24M raised) is quote-based and enterprise-leaning; Aiso adds Claude coverage and publishes methodology. Comparison figures are compiled from public materials and reviews, not independently audited, so verify the specifics that matter most to you.
How accurate is Peec AI's citation attribution?
Aiso's directional internal assessment scores Peec at roughly 79% on citation attribution accuracy (how precisely it maps citations to the correct source URL or domain) and roughly 87% on share-of-voice precision (how reliably it identifies brand presence vs noise across engines). The assessment uses a structured rubric completed during hands-on review and cross-checked against Peec's published materials. It is not an independently audited precision/recall benchmark. Peec does not publish precision/recall figures, so treat the percentages as directional and run a reproducibility test before precision-critical use.
Need Claude coverage and transparent methodology?
Aiso tracks how your brand is cited across ChatGPT, Claude, Gemini, Perplexity, and Copilot, with published methodology and the real prompts customers ask. See exactly how every number is produced.