Peec AI vs Gauge vs Evertune: Which GEO Tool Wins in 2026?
A three-way breakdown of Peec AI, Gauge, and Evertune on engine coverage, pricing, evidence quality, and who each platform actually fits in 2026.
If you're choosing between Peec AI, Gauge, and Evertune, you're really choosing between three different bets on what matters most in AI visibility tracking, raw coverage, evidence you can defend to a client, or a workflow that turns findings into action. Starting prices range from $95/mo (Peec AI) up to roughly $800+/mo (Evertune), and, as with most tools in this category, the sticker price and the real price rarely match.
Bing's AI Performance report covers Copilot citations. It is not a ChatGPT prompt log.
Peec AI is an excellent tracker with an earned reputation, as long as you budget for model add-ons rather than the sticker price. Gauge is the raw-volume value play, but the bet is on an unreviewed, thinly-funded vendor rather than the product itself. Evertune is the most rigorous methodology in the category, priced and packaged to be invisible below Fortune-500 budgets.
Peec AI vs Gauge vs Evertune at a glance
| Peec AI | Gauge | Evertune | Promptwatch | |
|---|---|---|---|---|
| Starting price | $95/mo | $599/mo | Custom (reported ~$800+/mo) | Free (Explore); $95/mo Essential |
| Category | AI visibility tracker | AI visibility tracker | Enterprise GEO platform | Full-stack AI visibility / GEO platform |
| Engine coverage | 3 models included per tier; each extra model is a $35 to $165/mo add-on; Claude and DeepSeek are Enterprise-only | 6 engines, 600 prompts run daily (~108,000 answers/mo), the highest volume in this list | 10+ models tested via direct API access; research-grade sampling, not a live day-to-day dashboard | 10+ engines incl. ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok; daily refresh on paid plans |
| Evidence / trust signal | Screenshot audit trail on every measurement; G2 4.9/5 | Visibility scored against Gauge-generated synthetic prompts, not logged user queries | Each prompt sampled ~100 times, 1M+ prompts per brand monthly, the most statistically rigorous methodology here | Citation analytics (page, domain, Reddit, YouTube); live AI crawler logs begin on Professional at $245/mo; 4.7/5 on G2 |
| Action layer | None, deliberately monitoring-only, no recommendations or execution | Built-in content engine ships 18 publish-ready articles/mo plus nightly content-health audits | None, strategic reports only, no content generation or crawler logs | Content Agents plan, write, and publish GEO content to a connected CMS |
| Best for | a marketing team or agency that wants the category's cleanest tracking dashboard and will price out model add-ons before signing | a team that wants maximum daily answer volume plus content production in one tool, and accepts the vendor risk | an enterprise brand or insights team that needs statistically defensible AI perception data and has the budget for it | a team that wants prompt tracking, citation analytics, crawler logs, and automated content in one platform |
Where Peec AI wins
Peec AI's case rests on the most polished tracking UX in the category, a screenshot-backed audit trail on every data point, unlimited seats, and daily refreshes that agencies build client reporting around. $10M ARR in about 16 months, $29M raised, and a 4.9/5 average on G2. The trade-off: the sticker price only covers 3 models per tier, so realistic coverage runs 30 to 50% above list, and there's no historical backfill or action layer.
Where Gauge wins
Gauge's case rests on unmatched raw volume, 600 prompts run daily across six engines, roughly 108,000 answers a month, plus a content engine that ships 18 articles a month in the same subscription. Zero reviews on G2, Capterra, TrustRadius, or Trustpilot, and only about $500K raised (YC S24) versus rivals' eight-figure war chests. The trade-off: there are zero third-party reviews anywhere, the $99 starter tier was quietly removed mid-2026, and the company has raised a fraction of what its rivals have.
Where Evertune wins
Evertune's case rests on boardroom-grade rigor, each prompt sampled roughly 100 times across 10+ models, with confidence intervals a research team can actually defend, plus a Trade Desk activation pipeline no rival offers. Founded by Trade Desk veterans with about $19M raised, though public reviews are genuinely sparse. The trade-off: pricing is opaque by design, onboarding runs weeks like a consulting engagement, and almost no independent reviews exist to check the claims against.
Action layer: who does something with the data?
Gauge is the only one of the three that acts on the data, via a content engine that ships 18 articles/mo plus nightly content-health audits. Peec AI and Evertune stay deliberately monitoring-only. If someone on your team is ready to act on findings without a separate tool, weight that over raw tracking depth.
Pricing: sticker price vs configured price
Sticker prices rarely survive contact with a real configuration. Peec AI: $95/mo Starter (50 prompts, 3 models only, extra models cost $35 to $165/mo each), Agency from $245/mo, Enterprise custom for Claude/DeepSeek. Gauge: 1-week free trial, then $599/mo Growth (600 prompts/day across 6 engines, 18 articles/mo); Enterprise custom for Claude, Grok, and API. Evertune: No self-serve pricing; third-party sources cite a Pro plan around $800/mo and enterprise floors near $3,000+/mo, both unconfirmed without a sales cycle. Price your actual engine list, prompt volume, and seat count against each of these before treating any single number as the real cost of ownership.
Who should pick which
- Pick Peec AI if you're a marketing team or agency that wants the category's cleanest tracking dashboard and will price out model add-ons before signing.
- Pick Gauge if you're a team that wants maximum daily answer volume plus content production in one tool, and accepts the vendor risk.
- Pick Evertune if you're an enterprise brand or insights team that needs statistically defensible AI perception data and has the budget for it.
FAQ
Which of the three is cheapest for a small team?
Peec AI has the lowest entry price at $95/mo, and that tier includes 50 prompts, 3 models, 1 project, unlimited seats. Evertune's roughly $800+/mo entry point buys considerably more out of the gate, so "cheapest" and "best value" aren't always the same tool.
Which one has the most trustworthy data?
Peec AI has the strongest independent review signal of the three: $10M ARR in about 16 months, $29M raised, and a 4.9/5 average on G2. Gauge: Zero reviews on G2, Capterra, TrustRadius, or Trustpilot, and only about $500K raised (YC S24) versus rivals' eight-figure war chests. Evertune: Founded by Trade Desk veterans with about $19M raised, though public reviews are genuinely sparse. Treat every AI-tracking vendor's accuracy claims as directional rather than exact, and cross-check a sample of results manually before reporting them upward.
Do any of these three help me fix visibility gaps, or just report them?
Gauge (via a content engine that ships 18 articles/mo plus nightly content-health audits) does; Peec AI and Evertune don't, they're deliberately monitoring-only.
Do I need all three, or should I pick one?
Running two overlapping trackers rarely earns its keep, pick the one whose category (tracking-only, action-oriented, or research-grade) matches how your team actually works, and revisit the others only if that gap becomes obvious. See how we rank for the criteria we weigh across every platform in this category.