Evertune vs Profound in 2026: Which AI Visibility Platform Is Better for Brands?

Quick answer

Evertune is the better choice in this comparison for brands that need statistically stable visibility scores at a budgeted price. Evertune Pro costs $800 a month for 100,000 tracked prompts across 11 AI models, and each prompt is asked up to 100 times per model.

Profound is the better choice in this comparison for enterprise programmes that need the signed-in user view and a security file. Profound runs each tracked prompt daily through front-end browser queries across up to nine answer engines on a custom Enterprise plan, with all-time history, CSV and JSON exports, an API, SSO/SAML and SOC 2 compliance. The only published brand plan found on Profound’s pricing page is a free seven-day trial of 50 prompts a day on three engines. Teams that need the fixes made by people rather than a dashboard may prefer a managed service such as Canlah AI.

This is an editorial comparison based on public product, pricing and research pages reviewed on September 23, 2026. It is not a controlled test of either platform’s accuracy.

Disclosure: Canlah AI publishes this comparison and competes with both Evertune and Profound for some of the same budgets, so it is not a neutral review. Treat the verdicts as a vendor editorial assessment, not an independent award. Competitor descriptions come from public pages and were not verified through paid accounts or private demonstrations.

Evertune vs Profound at a glance

Evertune wins four of the seven rounds below (price, sampling depth, engine coverage and bundled content) and Profound wins three (user-view fidelity, demand data and governance). The table carries every key number on this page.

Evertune vs Profound, public pages reviewed September 23, 2026.

Dimension	Evertune	Profound	Winner
Starting price	Pro $800 a month; Enterprise custom	Free 7-day trial; Enterprise custom	Evertune
How you buy	Request a demo; self-serve trial not found on reviewed page	Self-serve trial, then a demo for Enterprise	Profound
Best for	Category brands that need topic-level precision and AI ads	Enterprises running AI search as a standing programme	Depends on size
Sampling design	Each prompt asked up to 100 times per model	Each tracked prompt run daily through the front-end browser interface	Evertune
Prompt volume	100,000 prompts tracked across 11 models on Pro	50 unique prompts daily for 7 days on trial; custom prompt plan on Enterprise	Evertune
Engines covered	11 models, including Claude, Copilot, Meta AI and DeepSeek	3 on trial; up to 9 on Enterprise, including DeepSeek, Claude and Exa Search	Evertune
Demand data	EverPanel, described as more than 150 million real conversations	Prompt Volumes, described as more than 1.9 billion real prompts	Profound
Content and ads included	25 AI-optimised articles a month on Pro; ChatGPT Ads Agent, affiliate partners, AI Retargeting	Agents, Context Manager and Profound Sheets on AI Marketer credits	Evertune
History, exports and API	Not found on reviewed page	All-time history, CSV and JSON exports, API on Enterprise	Profound
Security and access control	SSO on Enterprise; certification not found on reviewed page	SSO/SAML, SOC 2, dedicated specialist with a 24-hour SLA	Profound
Qwen and Doubao	Not found on reviewed page	Not found on reviewed page	Neither

Source: Evertune and Profound product, pricing and research pages reviewed September 23, 2026. Each row records public positioning and the winner column is an editorial judgment by Canlah AI, not an independently tested capability.

“Not found on reviewed page” means the vendor’s public materials did not name that capability when reviewed on September 23, 2026. It is not proof that the capability is absent.

Round 1: Pricing — Evertune wins

Evertune wins on pricing because it publishes $800 a month for Pro, while no paid plan for brands was found on Profound’s reviewed pricing page. The Evertune Pro tier lists 100,000 prompts tracked across 11 AI models, daily, weekly or monthly tracking frequency, global language and country tracking, 25 AI-optimised articles a month, three onboarding sessions, affiliate advertising partnerships and AI Retargeting. Enterprise is custom and adds a dedicated AI Success Manager, unlimited content generation, AI website optimisation, AI bot analytics and SSO.

Profound’s brand pricing page lists a free Trial and a custom Enterprise plan. The trial covers 50 unique prompts run daily for seven days on ChatGPT, Gemini and Google AI Overviews, in one language and one region, with five Prompt Volumes searches and unlimited seats. Everything that makes the product a programme, including custom prompts, history, exports and the API, sits behind the Enterprise quote.

Profound lets a team see real data before paying, while Evertune lets a finance lead approve a number before the first call. Canlah AI takes the third route and scopes a retainer only after a free 48-hour snapshot. A per-run rate was not found on either pricing page, so ask both how many model responses the quoted allowance actually buys.

Round 2: Sampling depth — Evertune wins

Evertune wins on sampling depth because it asks each prompt up to 100 times per model, while Profound’s published design is one daily run per tracked prompt. Evertune’s July 16, 2026 research paper states the arithmetic behind that choice: for a single SUV prompt, five repetitions put the margin of error at 27 points, 12 repetitions cut it to 12 points and 100 repetitions bring it to about six points, with diminishing returns beyond that.

Large language models are probabilistic, so a brand that appears in one answer and not the next has not changed. Under a one-run-a-day design, a weekly figure rests on seven responses per prompt per engine, which is not enough to separate a real movement from model noise at the level of a single topic. Profound’s answer is to widen rather than deepen, running more unique prompts daily and reading them at the category level.

The counter-argument belongs in the decision. Deeper sampling spends the same allowance on fewer unique questions: at 100 samples per prompt across 11 models, 100,000 tracked responses cover roughly 90 unique prompts per cycle. Ask Evertune in writing whether the 100,000 figure counts unique prompts or sampled responses, because the two readings differ by a factor of about 1,100.

Round 3: Closeness to the real user view — Profound wins

Profound wins on closeness to the real user view because its pages state that each tracked prompt runs daily through the front-end browser interface of up to nine answer engines rather than through an API. That matters when the answer a buyer sees is shaped by live retrieval, personalisation or a shopping surface. Profound Enterprise also lists ChatGPT Shopping tracking, which was not found in the trial listing on the reviewed page.

Evertune reads both layers instead. Its methodology page describes direct API access to the base model alongside the consumer applications with live search on, and it uses the gap between the two to separate a training-data problem from a retrieval problem. Profound’s May 6, 2026 comparison article argues that API answers can differ meaningfully from what users see, which is a competitor’s characterisation and should be put to Evertune directly.

Profound also measures the traffic side. Agent Analytics tracks AI-sourced visits and attribution across an unlimited number of domains, with integrations for Cloudflare, Akamai, Fastly, Vercel, Netlify, WordPress, Google Analytics, AWS and Google Cloud Platform. Evertune lists AI bot analytics only on the custom Enterprise plan.

Round 4: Engine coverage — Evertune wins

Evertune wins on engine coverage because 11 models are included at the published $800 tier, while Profound reaches nine only on Enterprise. Evertune’s reviewed pages name ChatGPT, ChatGPT Search, Gemini, Gemini Search, Google AI Mode, Google AI Overviews, Perplexity, Claude, Copilot, Meta AI and DeepSeek.

Profound’s trial covers three engines. Enterprise lists capability for ChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, DeepSeek, Anthropic Claude, Google AI Overviews and Exa Search, plus custom languages and regions. The two lists are close in substance, so the round turns on what a buyer can get without a sales cycle.

Neither vendor named Qwen or Doubao on the reviewed pages. For a brand selling to Chinese-speaking buyers in Singapore, Malaysia or Greater China, that is the gap to test before either contract is signed, because DeepSeek alone does not represent Chinese AI search.

Round 5: Prompt demand data — Profound wins

Profound wins on demand data because its reviewed pages describe the Prompt Volumes dataset as more than 1.9 billion real user prompts, updated with more than 170 million new queries a month. That is the larger published prompt panel of the two, and it drives which questions are worth tracking.

Evertune grounds its prompt strategy in EverPanel, which its pages describe as a panel of more than 150 million real conversations, clustered into topics by a Prompt Agent. The two figures count different units, so they are not directly comparable, and panel composition by country or language was not found on either set of reviewed pages. Ask each vendor how many of those conversations came from your market.

Round 6: Content and ad execution — Evertune wins

Evertune wins on bundled execution because 25 AI-optimised articles a month are included in the $800 Pro plan, while no equivalent bundled output was found in Profound’s published trial. Evertune’s Act layer covers Content Studio, Site Audit, Bot Analytics and Partner Connect, which routes priority source lists to affiliate networks so that third-party pages an engine cites can be influenced.

Evertune is also the only one of the two selling paid placement from the same data. Its Ads Agent buys ChatGPT ad campaigns against the conversations where a brand is not appearing, and AI Retargeting follows those users after the conversation ends. Media spend is charged on top of the platform fee.

Profound’s execution layer is agent-shaped rather than output-shaped. AI Marketer runs on credits, Agents make recurring workflows reusable, Context Manager holds brand knowledge and Profound Sheets runs agents at scale.

Round 7: Enterprise governance — Profound wins

Profound wins on governance because all-time history, CSV and JSON exports and an API are included in Enterprise, alongside SSO/SAML and SOC 2 compliance and support up to a dedicated specialist with a 24-hour SLA. On September 15, 2026 it announced a $180 million Series D at a $1.8 billion valuation, which matters to procurement teams weighing vendor durability.

Evertune lists SSO on its Enterprise plan, but a security certification was not found on its reviewed pages, and Profound’s comparison article, a competitor source, states that no SOC 2 or HIPAA certification is publicly advertised by Evertune. Evertune’s public standing rests instead on analyst listings: a Representative Vendor entry in the 2026 Gartner Market Guide for Answer Engine Visibility Tools on March 23, 2026 and a Notable Vendor entry in Forrester’s Answer Engine Optimization Technologies Landscape, Q3 2026, on September 17, 2026.

Which is better for a mid-market brand?

Evertune. A brand with one category, a content budget and no procurement committee can approve $800 a month, get 11 models, receive 25 articles and buy ChatGPT ads from the same dataset without a bespoke quote. The limit is that every plan still starts with a demo request, so the published price is a starting point, not a checkout.

Profound’s free trial is still worth running first. Seven days of daily data on 50 prompts costs nothing and shows how your category behaves before either invoice exists.

Which is better for an enterprise AI search programme?

Profound. For a team running AI search as a standing programme, all-time history, CSV and JSON exports, an API, front-end sampling and agent workflows carry more weight than a published list price, and the SOC 2 file shortens the security review. The trade-off is that every paid feature sits behind a sales conversation.

Evertune Enterprise is a credible second option when topic-level precision decides budget allocation, or when the same team buys AI advertising. Ask both vendors for a written quote naming prompts, engines, runs per prompt, regions, languages and content output.

How to choose by scenario

Evertune is the better fit in two of the six buying scenarios below, Profound in two, neither vendor in the Chinese-engine case and a managed service in the last one. The final column is the question to settle first.

Scenario fit for Evertune, Profound and a managed service, pages reviewed September 23, 2026.

Buying scenario	Better fit	Why	What to verify before signing
One category, $800 a month to spend, no procurement committee	Evertune	Pro publishes the price and includes 11 models and 25 articles a month	Whether 100,000 counts unique prompts or sampled responses
AI search run as a standing programme with a security review	Profound	Enterprise includes all-time history, CSV and JSON exports, an API, SSO/SAML and SOC 2	The Enterprise quote itself, since no paid brand price was found on the pricing page
Ranking topics against each other by score	Evertune	Up to 100 samples per prompt per model puts the margin of error near six points	That the 100-sample design applies to every model, not only to the published SUV example
Tracking what users see on a personalised or shopping surface	Profound	Every tracked prompt runs daily through each engine’s front-end browser interface	Whether ChatGPT Shopping tracking sits inside the quoted plan or above it
Buyers asking in Chinese on Qwen or Doubao	Neither on the reviewed pages	Qwen and Doubao were not found on either vendor’s reviewed pages	Engine coverage in writing, with the engine names listed
Nobody in-house with hours to act on the findings	A managed service such as Canlah AI	The measurement is designed and the on-site and off-site fixes are made by people	That the retainer names prompts, engines, phrasing rotations and article output

Source: vendor product and pricing pages reviewed September 23, 2026. Fit is an editorial judgment by Canlah AI, not an independently tested outcome.

Buy Evertune if, buy Profound if

Buy Evertune if a published $800 a month price and up to 100 samples per prompt decide the case; buy Profound if all-time history, exports, an API and a SOC 2 file decide it. The difference is certainty per question against coverage per programme.

• Buy Evertune if you need visibility scores stable enough to rank topics against each other, want bundled content and plan to buy ChatGPT ads from the same data.
• Buy Profound if you need the front-end user view, prompt-demand data at scale, all-time history, exports, an API and a SOC 2 file for procurement.
• Buy neither yet if your buyers ask Qwen or Doubao, because neither vendor named those engines on the reviewed pages.
• Consider a managed service such as Canlah AI if nobody on your team has the hours to act on the findings either platform produces.

Where Canlah AI fits

Canlah AI is a Singapore-based SEO + GEO agency that measures and improves brand visibility inside ChatGPT, Gemini, Google AI Overviews and Google AI Mode, reporting AI visibility as re-verifiable ranges with timestamped evidence. It is not a third software option in this comparison. Canlah AI is the choice for teams that want the measurement designed, and then the fixes made, by people.

Its method borrows the argument Evertune makes about sampling and applies it to a narrower panel: the client’s buyer intents locked for 90 days, at least three phrasing rotations per query per engine and every probe stored as a raw record with the prompt, full response, citations and timestamp. The pricing page runs from 4 to 16 buyer intents, each re-measured monthly, with four to 12 articles a month by tier, scoped after a free 48-hour snapshot.

The limitation is real. Canlah AI publishes no self-serve dashboard, no prompt-volume dataset and no ad-buying product, and it samples far fewer responses per cycle than Evertune. Its own visibility is also low: in a September 7, 2026 self-audit of 39 buyer questions run three times each, Canlah AI was named in seven of 84 non-branded OpenAI answers (8.3%) and in none of 93 Gemini answers.

Frequently asked questions

Is Evertune cheaper than Profound?

Evertune has the lower published price, at $800 a month for Pro on September 23, 2026. Profound publishes only a free seven-day trial and custom Enterprise pricing for brands, so a like-for-like comparison is not possible from public pages. Both tiers of both products are sold through a demo.

Evertune vs Profound: which samples AI answers more deeply?

Evertune. Its pages state that each prompt is asked up to 100 times per model, while Profound runs each tracked prompt once a day through the front-end browser interface. Evertune’s own research puts the margin of error at 27 points after five repetitions and about six points after 100.

Does Evertune or Profound track Qwen or Doubao?

No. Neither vendor named Qwen or Doubao on the pages reviewed on September 23, 2026, although both name DeepSeek. Ask each vendor to confirm engine coverage in writing if your buyers use Chinese AI assistants, because that is a statement about public positioning rather than proof of a technical limit.

Which is better for enterprise, Evertune or Profound?

Profound suits enterprises that need all-time history, CSV and JSON exports, an API, SSO/SAML and SOC 2. Evertune Enterprise suits brands that need topic-level statistical precision, bundled content and AI advertising from one dataset. Only Profound’s security certification was found on the reviewed pages.

Will Evertune or Profound do the GEO work for me?

Evertune includes 25 AI-optimised articles a month on its Pro plan and runs ChatGPT ad campaigns, so it delivers more finished output than Profound does. Profound provides agents that draft and prioritise, but your team still approves, publishes and earns third-party placements. A managed agency takes that work on directly: Canlah AI writes, publishes and pursues the third-party sources itself.

How is Canlah AI different from Evertune and Profound?

Evertune and Profound sell software your team operates. Canlah AI runs a locked measurement programme on a small panel of your real buyer questions across ChatGPT, Gemini, Google AI Overviews and Google AI Mode, hands over the raw archive and then does the on-site and off-site work. Teams that want their own dashboard and a large prompt dataset should choose a platform instead.

Method and sources

Canlah AI compared Evertune and Profound on seven dimensions using each vendor’s own public product, pricing and research pages, checked on September 23, 2026. Claims each vendor makes about the other were treated as competitor statements and attributed as such. The review did not use paid accounts, independently test engine outputs, verify sampling counts or confirm commercial terms.

• Evertune homepage and Evertune pricing. Pro and Enterprise contents, the $800 price, 100,000 prompts, 11 models, EverPanel and the four product steps.
• How many repetitions of a single prompt does it take to understand your AI visibility?, July 16, 2026. The 27-point, 12-point and six-point margin-of-error figures.
• Evertune methodology, FAQ and company news. Base-model and consumer-app layers, engine list, Gartner and Forrester listings.
• Profound pricing. Trial limits, Enterprise engine list, history, exports, API, SSO, SOC 2 and support tiers.
• Profound vs. Evertune, May 6, 2026, and Evertune vs. Profound, January 20, 2026. Each vendor’s claims about the other, including front-end capture, prompt-panel size and certification.
• TechCrunch on Profound’s Series D, September 15, 2026. Funding and valuation.
• Canlah AI pricing and GEO services. Buyer intents by tier, monthly cadence and the measurement protocol.
• Canlah AI self-audit and probe archive, anonymised, September 7, 2026. Self-visibility figures.

Do not choose between Evertune and Profound from this page alone. Run the same ten buyer prompts through both, ask each vendor how many model responses sit behind one reported figure and compare the raw answers rather than the composite scores.

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