Evertune Pricing in 2026 and Whether It Is Worth It

To budget for Evertune honestly, treat the $3,000/mo floor as a starting position, not a price. The vendor publishes one number and routes everything else through sales. So the real question is whether your job needs Evertune's depth or a much cheaper tool will do.

Evertune is one of the heavyweight platforms in AI brand visibility. Founded in 2024 by Trade Desk veterans, it positions itself as an AI marketing platform for CMOs, built for the scale and complexity of Fortune 500 buyers. Press coverage runs deep (Adweek, Axios, Business Insider, Forbes, Economist, The Information, NYT, WSJ).

The pricing page is also unusually direct for an enterprise tool. One sentence: pricing starts at $3,000 per month.

The catch isn't the number. The catch is what sits underneath it. Evertune is brand-perception research at statistical-significance scale, with a 25M consumer panel and proprietary AI Brand Index methodology. That depth is unique. It's also a fundamentally different product category from the $30-$500/mo citation trackers most teams compare it against.

This guide walks the published floor, the case-study results to set expectations, and the alternatives for buyers who get an Evertune-sized quote and realize they were shopping for a $129/yr WordPress plugin.

The fully loaded annual cost, at a glance

The published floor is $3,000/mo. Here's what year 1 looks like for a brand at that floor.

Evertune pricing in 2026, what is published

Evertune publishes exactly 1 price and 5 product lines. Here's what's actually on the public page.

What the 5 products actually do is the more useful breakdown.

• User Insights. Uses Evertune's 25M consumer panel to understand AI search behavior. So you see not just how AI represents your brand, but how real consumers ask AI about your category.
• AI Brand Monitoring. Tracks the AI Brand Index, Evertune's proprietary 0-100 score combining frequency and rank across major LLMs. Per-LLM breakdowns, competitive benchmarks, model-version drift.
• AI Website Optimization. Recommends content and structural changes to improve AI visibility. Less of a fix layer, more of a strategy brief.
• Content Strategy. Identifies high-leverage topic gaps and messaging angles based on the brand monitoring data. Tied to the case studies on the page.
• AI Search Intent Advertising. Retargets users who interact with AI search through paid placements. The "AI ad" piece of the stack.

Two structural things to call out.

Evertune's claim isn't volume, it's statistical significance. The pitch is that competitors sample dozens or hundreds of prompts; Evertune runs thousands per brand per month to make sure the AI Brand Index is reliable, not noisy. Whether that justifies a 30-60x price gap depends on how much your reporting needs to defend a number to a board.

And the AI Brand Index is unaided awareness. Most trackers ask "does AI mention you when prompted about your category?" Evertune's headline metric specifically removes your brand name from the prompts to see who AI recommends first without prompting. That's a methodological choice that's harder to game and harder to replicate cheaply.

The hidden costs the sticker does not show

Three places where the Evertune number stretches beyond the published $3,000/mo floor.

1. The floor is a starting position, not a tier. "Starts at" pricing in enterprise SaaS almost always means "this is the lowest we'll go for a single brand, single region, no add-ons." Multi-brand portfolios, additional regions, AI Search Intent Advertising activation, or product-level monitoring add to the line. Treat $36,000/yr as the lowest possible budget and $60,000-$150,000+/yr as the realistic mid-band.

2. No SOC 2 yet, no self-serve API, no granular prompt logs. Three things Fortune 500 procurement usually requires that Evertune doesn't currently ship. SOC 2 is on competitors like Profound and Scrunch Enterprise. Granular prompt-level analytics (the ability to see exactly which prompt drove which mention) is on the cheaper trackers in this category. If your data team wants to slice prompt-level data themselves, Evertune's aggregate AI Brand Score view is more constrained than competitor APIs at lower price points.

3. The procurement cycle itself. Sales-led pricing at this scale means a procurement cycle: demo, scoping call, custom proposal, security review, MSA negotiation, kickoff. Plan 4-12 weeks from first contact to first dashboard, depending on your org. The faster competitors (Profound Growth at $399/mo, Scrunch Core at $250/mo) are self-serve and live the same day. Time-to-data is part of the cost.

What it costs for three real buyer scenarios

Three scenarios with the verified Evertune numbers (and where Evertune isn't the right shop).

How billing actually works

Evertune publishes the floor but not the billing-mechanics fine print. Here's what to expect based on the published page and standard enterprise SaaS norms.

Custom procurement, not checkout. Every plan goes through a discovery call, scoping, and a custom contract. There's no self-serve signup, no pricing calculator, no free trial. Time from first contact to live dashboard typically runs 4-12 weeks.

Annual contracts expected. At this tier, multi-year terms are common and usually carry volume discounts. The $3,000/mo floor is most likely the rate on a 12-month minimum. Shorter terms either don't exist or carry a premium.

Taxes. Evertune is US-based (Evertune Inc.), so US buyers pay state sales tax where applicable. International buyers pay local VAT or GST on top, typically negotiated into the MSA.

Expansion pricing. Adding brands, product lines, or regions mid-contract typically goes through your account manager. New AI engines or expanded panel coverage are folded into renewal negotiations. Plan for a renewal uplift conversation, especially as more LLMs ship.

No free trial. If you want to try the AI brand-perception category before committing, the closest no-cost option is Evertune's own free AI Brand Index report, which lets you generate a one-off score for your brand category. That gives a flavor of the methodology without the contract.

Support model. The page promises "dedicated customer support, ongoing training and consultative guidance." So at this tier you're paying for analyst time and strategic guidance, not just dashboard access. Treat the support layer as a real part of the value you're buying, not a free add-on.

Cancellation. Standard enterprise SaaS contracts run for the agreed term with auto-renew unless cancelled 30-90 days before renewal. The published page doesn't specify, but expect this in the MSA.

Evertune vs CiteTrack on price

This comparison is most useful for buyers who got an Evertune quote and want to understand the price gap. The two products do different jobs. Evertune is brand-perception research at statistical significance. CiteTrack is operational citation tracking for WordPress sites. The 280x price gap reflects different categories, not better-or-worse versions of the same thing.

Who Evertune is right for, and who should skip it

Pay for Evertune if you are:

• A Fortune 500 brand or large mid-market with a CMO who needs board-defensible AI brand-perception data. Evertune's statistical-significance methodology defends a number to leadership in a way that sampling-based trackers don't.
• A comms or PR team that needs to monitor brand framing and sentiment across LLMs at scale, especially through model version changes. The competitive benchmarking and sentiment work are differentiated here.
• A consumer brand running multi-product or multi-region monitoring at scale. The custom pricing absorbs additional brands and SKUs more cleanly than a per-brand SaaS tracker that would multiply by 5 or 10.
• A team that values AI Search Intent Advertising as part of the stack. That's an Evertune-distinctive layer.

Skip Evertune if you are:

• A growth-stage or SMB brand. The $36,000/yr floor rules you out, and tools at $300-$6,000/yr cover the citation tracking job for buyers below that scale.
• Looking for operational citation tracking ("did ChatGPT cite my page last week?"). Evertune's methodology is built for aggregate brand perception, not per-page operational signal.
• A WordPress publisher or e-commerce store. Evertune doesn't integrate at the page level and won't ever be the cheapest answer for a WP site.
• An agency. There's no Agency tier published, and the per-client math doesn't work at $36,000/yr per brand.
• Needing SOC 2 compliance today. Evertune doesn't currently ship it.

What Evertune's case studies show

Evertune publishes 3 named case studies on the pricing page with concrete result numbers. These are the strongest verifiable signals because they sit alongside the price.

B2B software brand. Started at rank #15 in AI recommendations. After competitive content analysis and an AI-optimization strategy (8 blog posts and product page overhauls, 3 tier-1 industry placements), reached top 10 in 2 months. AI Brand Score improved 173% on Gemini (29 to 90) and 105% on ChatGPT (39 to 80).

E-commerce travel company. Started invisible in AI recommendations vs key competitors. Created 30,000 words of new authoritative content with AI-optimized architecture. Result: +15 points AI Brand Score on ChatGPT (using an A/B test with content crawlable only by ChatGPT), vs +3 points on Gemini and Meta AI. That delta is the kind of methodologically rigorous test small trackers can't run.

Pet food brand. Started with strong SEO but rarely surfacing in ChatGPT's high-quality pet food recommendations. Targeted high-value subtopics (ingredients, vet-recommended) with 5 blog posts + FAQ updates, 3 high-authority editorial placements, 2 paid affiliate features. Result in 3 months: ChatGPT visibility 58% → 99%, average position 4.5 → top 3.

The customer logo wall covers Fortune 500 brands across Finance, Retail/E-Commerce, Automotive, Pharma, Tech, Travel, Food/Beverage, Entertainment, CPG, and B2B. Named clients include Canada Goose, Miro, and WPP's Choreograph. Press coverage runs across Adweek, Axios, Business Insider, Forbes, Economist, The Information, NYT, and WSJ.

Set expectations from the case studies. Two clear patterns. Results show up in 2-4 months, not weeks. And the lifts (173%, +15 points, 58% to 99%) are real but require an integrated content + comms + paid execution alongside the tracking, not just the dashboard.

The flat-fee alternative if you are not the enterprise buyer

If you got an Evertune quote and realized you were shopping for something an order of magnitude cheaper, CiteTrack AI is the WordPress-native operational tracker that covers the daily "did AI cite me" job at a flat annual price.

What it covers:

• Five engines queried for citations (ChatGPT, Perplexity, Gemini, Claude, and Copilot), via your own API keys.
• Cited / mentioned / absent per prompt, per engine, per page. Operational signal for fix decisions.
• One-click AEO and GEO fixes on pages that get crawled but not cited.
• Revenue attribution tying AI visits to WooCommerce and EDD orders.
• $59/yr Solo, $129/yr Studio (5 sites), $249/yr Agency (unlimited). Flat, no per-brand multiplier, no procurement cycle.

Honest limits.

• Not a brand-perception research platform. CiteTrack tracks citations on your prompts, not aggregate brand framing at statistical significance.
• No 25M consumer panel. No AI Brand Index methodology. No analyst layer.
• BYO API keys, you pay the engines directly (typically $5-30/mo for a single-site setup).
• WordPress only.

If your job is "be cited and fix the pages that aren't," CiteTrack Studio at $129/yr is roughly 280x cheaper than the Evertune floor and the right shape for the job.

Should you pay for Evertune?

Here is the short version, by buyer type.

FAQ

Keep going

• The alternatives at a glance, best Evertune alternatives.
• How it compares to enterprise peers, best Profound alternatives.
• For agencies, AI visibility tools for agencies.
• The WordPress-native view, top WordPress AI visibility plugins.
• Real cost across the category, SaaS vs WordPress plugin.

Pricing · AI Visibility, Evertune, Pricing