TAMGIO vs Peec AI: AI Visibility Tool Comparison

TAMGIO and Peec AI are both AI-visibility (GEO) analytics tools, but they differ in which engines they measure and how they back up their numbers. TAMGIO's ongoing tracking runs on three engines — OpenAI web_search, Perplexity Sonar, and Gemini grounded search — with Google AI Overviews (via SerpAPI) added in Audit Mode, for four measured surfaces in total; every metric carries the raw API response as evidence. Peec AI covers five engines, including Microsoft Copilot, with daily tracking across all of them. The right choice depends less on engine count and more on what a team values: broad daily coverage (Peec AI) or raw, checkable evidence and public formulas behind every number (TAMGIO).

Engines measured: 3 ongoing (4 in Audit Mode) vs 5

Ongoing tracking in TAMGIO runs on three specific engines: OpenAI's web_search (on gpt-4.1-mini), Perplexity Sonar (always grounded), and Gemini's grounded search. Google AI Overviews via SerpAPI (SERP-embedded, deterministic per search) is added in Audit Mode, for four measured surfaces in total. That last one matters: an AI Overview can simply not appear for a given search ("no_surface") — that is not the same as "the brand wasn't mentioned," and TAMGIO reports the distinction openly instead of collapsing it into a zero.

Peec AI adds Microsoft Copilot on top of ChatGPT, Perplexity, Gemini, and Google AI Overviews/AI Mode, tracking all five daily. That is a genuine and useful difference, especially for brands where Copilot's enterprise/Microsoft 365 audience matters.

Evidence model: raw answers vs citation discovery

TAMGIO's core differentiator is what sits behind each number: every metric has a dashed underline, and opening it reveals the raw API response, citations, and timestamp that produced it — direct measurement, not a screenshot. Only grounding-verified answers count toward the metrics; errors and no-surface results are shown openly, never hidden. There are no percentage promises, because AI answers are non-deterministic — which is exactly why N-sample measurement matters more than any single-shot check.

Peec AI's strength is a different kind of evidence: source and citation discovery that surfaces which websites and publishers are being cited in AI answers, which is genuinely useful for directing PR and content strategy.

Prompt management

In TAMGIO, users write or AI-generate 30-40 candidate prompts (with explicit approval), spread across intents: best-of, comparison, how-to, local, and pricing. There is also a separate one-time Audit Mode: a single button runs a one-off domain audit across roughly 20-30 auto-generated prompts on all four engines, producing an audit report and PDF — distinct from ongoing tracking projects.

Peec AI offers AI-suggested prompt opportunities based on search volume, which helps surface which questions are worth tracking when building out a query set.

FeatureTAMGIOPeec AI
Engines coveredOpenAI web_search, Perplexity Sonar, Gemini grounded search (ongoing); Google AI Overviews added in Audit ModeChatGPT, Perplexity, Gemini, Microsoft Copilot, Google AI Overviews/AI Mode (daily)
Raw evidence per answerCitation/source discovery, no public raw-response archive found
Tracking cadenceN-sample scans, daily or weekly per projectDaily across all engines (genuine strength)
Prompt buildingUser-written or AI-generated 30-40 prompts, user-approvedAI-suggested prompts based on search volume (genuine strength)
Formula transparencyAll formulas public, same code across dashboard/report/PDFNo public formula documentation found
Agency reportingShareable PDF report, share-token linkLooker Studio connector, CSV export, API, multi-project/country views (genuine strength)
One-time auditNo separate one-off audit mode found in public materials
Pricing transparency3 planned tiers announced, no dollar figures yet~$95-495/mo reported by third parties, plus custom Enterprise, 14-day trial

Where Peec AI genuinely does well

  • Daily tracking across five engines, including Microsoft Copilot
  • Citation and source discovery that shows which publishers get cited in AI answers
  • AI-suggested prompt opportunities based on search volume
  • Agency-oriented reporting stack: Looker Studio connector, CSV export, API, multi-brand pricing tier

Pricing

Peec AI's pricing (not confirmed with numbers on their own pricing page, but reported by third-party review sites) runs roughly Starter ~$95/mo (50 prompts, 1 project), Pro ~$245/mo, and Advanced ~$495/mo, plus a custom Enterprise tier; plans reportedly include unlimited seats and a 14-day free trial. TAMGIO has not announced pricing publicly yet — the site currently shows 3 planned tiers (Weekly Scan, Daily + Competitors, Agency/White-label) without dollar figures.

Which one fits

If daily tracking across five engines, citation discovery, and agency-grade reporting (Looker Studio, multi-brand) are the priority, Peec AI is a solid choice. If a team wants no percentage promises, fully public formulas, and raw evidence behind every number, TAMGIO is built for that.

FAQ

How many AI engines does TAMGIO measure?
Ongoing tracking runs on three engines — OpenAI web_search (gpt-4.1-mini), Perplexity Sonar, and Gemini's grounded search. Google AI Overviews (via SerpAPI) is added in Audit Mode, for four measured surfaces in total. Peec AI additionally tracks Microsoft Copilot and scans all five daily.
What does TAMGIO's 'raw evidence' actually mean compared to Peec AI?
Every metric in TAMGIO has a dashed underline; opening it shows the exact API response, citations, and timestamp behind that number, not a screenshot. Peec AI's strength is a different kind of evidence: citation discovery that shows which sites get cited, not a raw per-answer archive.
Which tool is cheaper?
Peec AI's reported pricing (per third-party reviews) runs roughly $95-495/month depending on tier, plus a custom Enterprise plan. TAMGIO has not published pricing yet — the site currently lists 3 planned tiers without dollar figures.
What is Audit Mode, and does Peec AI have something similar?
Audit Mode is a one-button, one-time domain audit across roughly 20-30 auto-generated prompts on all 4 engines, producing an audit report and PDF. Peec AI's public materials describe ongoing daily tracking, not a separate one-off audit mode.
Which team should pick which tool?
Teams that need daily tracking across five engines, citation discovery, and agency-grade reporting (Looker Studio, multi-brand) fit Peec AI well. Teams that want no percentage promises, fully public formulas, and raw evidence behind every metric fit TAMGIO.