Profound vs Gauge vs Evertune: Which GEO Tool Wins in 2026?
A three-way breakdown of Profound, Gauge, and Evertune on engine coverage, pricing, evidence quality, and who each platform actually fits in 2026.
Put Profound, Gauge, and Evertune side by side and the differences show up fast: same category, same basic premise (track how AI engines talk about your brand), but different engine lists, different evidence standards, and a price range wide enough that "which one" is really "which one for your budget." Budget is usually the first filter here, Profound opens at $99/mo, Evertune at roughly $800+/mo, but the bigger differentiator once you dig in is what each platform does with the data after it's collected.
Bing's AI Performance report covers Copilot citations. It is not a ChatGPT prompt log.
Profound is the category's reference platform on paper, but the $99 sticker is bait, the real product lives in a sales-gated Enterprise tier. 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.
Profound vs Gauge vs Evertune at a glance
| Profound | Gauge | Evertune | Promptwatch | |
|---|---|---|---|---|
| Starting price | $99/mo (annual) | $599/mo | Custom (reported ~$800+/mo) | Free (Explore); $95/mo Essential |
| Category | Enterprise GEO platform | AI visibility tracker | Enterprise GEO platform | Full-stack AI visibility / GEO platform |
| Engine coverage | Up to 10 engines on Enterprise; Starter is ChatGPT-only, Growth covers 3 | 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 | Directional citation sampling; G2 reviewers report gaps versus manual ChatGPT checks | 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 | Agents draft and execute content actions from citation gaps | 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 | an enterprise team with the budget and a dedicated analyst to run the deepest dataset in the category | 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 Profound wins
Profound's case rests on unmatched engine depth (up to 10 on Enterprise, including Grok, Meta AI, and DeepSeek), a unique Prompt Volumes query-demand dataset, and Agents that turn findings into drafted content. G2 4.6/5, Winter 2026 category leader, $1B valuation after a Feb 2026 Series C. The trade-off: everything it's actually known for sits behind an unpublished Enterprise price reportedly running $2,000 to $5,000+/mo, and setup realistically takes one to three months.
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?
This is where the three genuinely split. Profound (Agents that draft and execute content) and Gauge (a content engine that ships 18 articles/mo plus nightly content-health audits) both go beyond pure measurement, while Evertune stays 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. Profound: $99/mo Starter (ChatGPT only, 50 prompts), $399/mo Growth (3 engines, 100 prompts), Enterprise custom (reportedly $2,000 to $5,000+/mo) for the full 10-engine, Prompt Volumes, Agents stack. 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 Profound if you're an enterprise team with the budget and a dedicated analyst to run the deepest dataset in the category.
- 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?
Profound has the lowest entry price at $99/mo, and that tier includes ChatGPT only, 50 prompts, 1 seat. 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?
Profound has the strongest independent review signal of the three: g2 4.6/5, Winter 2026 category leader, $1B valuation after a Feb 2026 Series C. 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?
Profound (via Agents that draft and execute content) and Gauge (via a content engine that ships 18 articles/mo plus nightly content-health audits) do; Evertune doesn't, Evertune is 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.