Petra Labs vs Evertune in 2026: Which AI Search Platform Is Better for Brands?

Quick answer

Evertune is the better choice in this comparison for brands that want to run AI search themselves on a published budget. Evertune Starter costs $60 a month for 5,000 prompt credits on up to five models, and Pro costs $800 a month, billed annually, for 100,000 prompt credits a month across 11 AI models, with each prompt sampled 100 times per model.

Petra Labs is the better choice in this comparison for large brands that want an outside team to do the AEO work and tie it to revenue. Its AEO experts use Petra Labs’ own software to do, in its words, “100% of the work”, and build custom attribution models that connect AI search to pipeline. Engagements start at $15,000 a month and typically run $250,000 to $600,000 or more a year. Teams that want a managed service at a lower entry point, delivered in English and Chinese, may prefer Canlah AI, whose GEO service starts from $1,500 a month.

This is an editorial comparison of public vendor pages reviewed on October 25, 2026, not a controlled test of either vendor’s results.

Disclosure: Canlah AI publishes this comparison and competes with both Petra Labs and Evertune 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 each vendor’s own public pages and were not verified through paid accounts, private demonstrations or client interviews.

Petra Labs vs Evertune at a glance

Evertune wins four of the seven rounds below (pricing, sampling depth, engine coverage and AI advertising) and Petra Labs wins three (who does the work, revenue attribution and prompt and citation research). Petra Labs sells a managed AEO partnership; Evertune sells software your team operates.

Petra Labs vs Evertune, vendor pages reviewed October 25, 2026.

Dimension	Petra Labs	Evertune	Winner
Starting price	From $15,000 a month; typical engagements $250,000 to $600,000+ a year	Starter $60 a month; Pro $800 a month billed annually; Enterprise custom	Evertune
How you buy	Talk to an expert; no self-serve plan found on reviewed pages	Starter self-serve; Pro and Enterprise through sales	Evertune
Who does the work	Petra Labs experts: strategy, copywriting, technical audits, earned media and social	Your team, with a Content Agent (25 articles a month on Pro) and an Ads Agent	Petra Labs
Revenue attribution	Custom marketing mix models and multi-touch attribution to pipeline and revenue	Not found on reviewed page	Petra Labs
Sampling design	Runs per client not found on reviewed page	100 samples per prompt per model on Pro and Enterprise	Evertune
Engines covered	Named list not found on reviewed page; published work covers ChatGPT, Claude, Gemini and Google AI Overviews	11 models on Pro, including Perplexity, Copilot, Meta AI and DeepSeek; 5 on Starter	Evertune
Prompt and citation research	One-of-one prompt map per client; fan-out queries and interim citations captured	EverPanel, described as more than 150 million real conversations	Petra Labs
AI advertising	Not found on reviewed page	ChatGPT Ads Agent at 10% of media on Starter and 8% on Pro; AI Retargeting	Evertune
Company	New York; $5.2 million seed announced July 2026	Founded 2024; New York, Seattle and Denver; $20 million raised	Evertune, on scale
Qwen and Doubao	Not found on reviewed page	Not found on reviewed page	Neither

Source: Petra Labs and Evertune product, pricing, customer and research pages reviewed October 25, 2026. The winner column is an editorial judgment by Canlah AI, not an independently tested capability.

“Not found on reviewed page” means the capability was not found on the public page reviewed on October 25, 2026. It is not proof that the capability is absent.

Round 1: Pricing — Evertune wins

Evertune wins on pricing because it publishes Starter at $60 a month and Pro at $800 a month billed annually, about $9,600 a year, while Petra Labs’ engagements start at $15,000 a month, about 19 times the Pro price. Petra Labs puts typical engagements at $250,000 to $600,000 or more a year.

The gap is not a like-for-like discount, because the two fees buy different things. Petra Labs prices the effort needed to move a category: brands or product lines tracked, query competitiveness and attribution complexity. Evertune prices software in prompt credits, counted as unique prompts × models × three samples a day × 30 days, so Pro’s 100,000 credits cover about 100 unique prompts on all 11 models.

Canlah AI’s GEO service, priced per AI platform from $1,500 a month, sits between the two.

Round 2: Who does the work — Petra Labs wins

Petra Labs wins on execution because its solutions page states that its experts “do 100% of the work”, from platform set-up through strategy to full execution. That covers premium copywriting, technical site audits, programmatic AEO, earned media placements and social management. In its July 2026 Zapier case study, Petra Labs drafts on-site and blog content that Zapier publishes and runs PR outreach. Its New York team works alongside clients in person.

Evertune is software your team operates, with agents doing much of the drafting. Pro includes a Content Agent that writes 25 articles a month, prompt research tools and onboarding support; Enterprise adds unlimited content, Site Audit and Bot Analytics. Publishing, PR outreach and third-party placements still need people on your side.

Round 3: Revenue attribution — Petra Labs wins

Petra Labs wins on attribution because it builds custom marketing mix models and multi-touch attribution that connect AI search to pipeline and closed revenue, while a revenue-attribution model was not found on Evertune’s public pages reviewed on October 25, 2026. Petra Labs’ reasoning is that most AI-referred traffic arrives without a UTM tag and is logged as direct, organic or dark social, so standard analytics undercount it.

The published cases follow the same split. Petra Labs reports 27× AI-referred site traffic for Novig in six months and says 65% of Fractional Jobs’ inbound leads now come from AI search. Evertune reports visibility: Halo Collar’s AI Brand Score on the ChatGPT foundational model rose from 67 to 91 within two months, and At Home moved from #10 to #5 in ChatGPT for home decor. All of these are vendor-reported single cases.

Round 4: Sampling depth — Evertune wins

Evertune wins on sampling depth because its pricing page writes 100 samples per prompt per model into Pro and Enterprise, while Petra Labs does not publish a per-client run count. Petra Labs says it asks each prompt “many times, at scale, until the results standardize”, but a run count was not found on the public page reviewed on October 25, 2026. Evertune Starter does not include the 100-sample commitment.

Both vendors’ published arithmetic points the same way. Evertune’s methodology page puts one prompt asked 100 times at about 48% visibility, ±10 points, and 100 prompts each asked 100 times at ±1 point overall and ±2 points per topic. Petra Labs’ June 2026 paper, built on 7,200 logged-out trials on ChatGPT and Gemini, finds that noise alone can swing visibility by up to ±30% at 21 runs. Precision comes from pooling responses into topics.

Round 5: Engine coverage — Evertune wins

Evertune wins on engine coverage because its pricing page names 11 models on Pro: ChatGPT and ChatGPT Search, Gemini and Gemini Search, Google AI Mode, Google AI Overviews, Meta AI, Copilot, Claude, Perplexity and DeepSeek. Starter covers five. Evertune also reads base models through direct API access alongside the live consumer apps, to separate a training-data problem from a retrieval problem.

Petra Labs’ homepage says it tracks brands “across every major AI platform”, but a named engine list was not found on the public page reviewed on October 25, 2026. Its Novig case tracked more than 1,500 prompts on ChatGPT, Claude and Gemini, and its April 2026 paper found visibility gaps of up to 32 points between logged-in, logged-out and API access to the same GPT-5.2 model.

Neither vendor named Qwen or Doubao on the reviewed pages, a gap for brands selling to Chinese-speaking buyers.

Round 6: Prompt and citation research — Petra Labs wins

Petra Labs wins on prompt and citation research because it builds a one-of-one prompt map for each client and captures the reasoning behind an answer, not only its final citations. The maps combine opt-in AI search panel data, Google search data, the client’s intake-call transcripts and scraped Reddit and LinkedIn conversations. Its chain-of-thought analysis records the fan-out searches and interim sources a model consults, surfacing influential domains that never appear in the final answer.

Petra Labs also publishes the research: its August 2026 report, built on 36,000 runs, found that eight of 15 prompt types covered 96.7% of the frequently cited sources in a category.

Evertune’s research asset is scale. EverPanel is described as more than 150 million real conversations, clustered into topics by a Prompt Agent, and its March 2026 study of about 220,000 prompts found that GPT-5.4 mini recommended 37% fewer brands on average than GPT-5 mini.

Round 7: AI advertising — Evertune wins

Evertune wins on advertising because it sells paid placement from the same visibility data, while paid AI advertising was not found on Petra Labs’ public pages reviewed on October 25, 2026. Evertune’s Ads Agent builds ChatGPT campaigns aimed at conversations where a brand is not recommended, for 10% of media on Starter, with the first seven days free, and 8% on Pro. AI Retargeting then reaches those users through The Trade Desk and Index Exchange, and Partner Connect routes priority sources to affiliate networks.

Petra Labs works those sources through earned media instead, negotiating references on the domains that shape a model’s reasoning.

Which is better for a mid-market brand with an in-house marketer?

Evertune. A brand with one category, a marketer who can act on findings and under $1,000 a month to spend can start on Starter at $60, move to Pro at $800 a month billed annually and buy ChatGPT ads from the same dataset. Evertune names Halo Collar, Canada Goose, HexClad, Roku and WPP as current clients.

The limit is people: Evertune’s agents draft and recommend, but someone still has to publish and pitch. Petra Labs’ $15,000 monthly floor sits outside most mid-market budgets.

Which is better for an enterprise that wants AEO done for it?

Petra Labs. For a brand with several product lines, a stretched SEO team and a finance team that wants AI search tied to revenue, an outside team that owns strategy, execution and attribution outweighs a lower licence fee. Petra Labs names Zapier as a client.

Evertune Enterprise is the alternative when the in-house team has capacity and also wants AI advertising. Ask both vendors for a written scope naming prompts, engines, runs per prompt, deliverables and the attribution method.

Petra Labs vs Bluefish AI: which suits a Fortune 500 brand?

Bluefish suits a Fortune 500 brand that wants a platform its own teams keep, with expert support and a published security file; Petra Labs suits one that wants an outside team to own the work and the revenue attribution. Both pair software with strategists.

Bluefish’s about page states that about 10% of Fortune 500 companies use it, that it has raised $68 million and that it has more than 120 employees. Its homepage lists more than 10 LLMs tracked daily, including Alexa for Shopping, plus SOC 2 Type II, SSO, HIPAA-Ready status and MFA. Its services page says 85% of customers use Bluefish Services. A Bluefish price was not found on the public page reviewed on October 25, 2026, and neither was a Petra Labs security certification.

How to choose between Petra Labs and Evertune by scenario

Evertune is the better fit in two of the six buying scenarios below, Petra Labs in two, neither vendor in the Chinese-engine case and a lower-cost managed service in the last one.

Scenario fit for Petra Labs, Evertune and a managed service, pages reviewed October 25, 2026.

Buying scenario	Better fit	Why	What to verify before signing
One category, under $1,000 a month, an in-house marketer	Evertune	Starter $60 a month; Pro $800 a month billed annually	Unique prompts covered by 100,000 credits
A large brand with no spare AEO headcount	Petra Labs	Its team does strategy, content, audits, earned media and social	Who works the account, and how often
Finance wants AI search tied to revenue	Petra Labs	Custom marketing mix models and multi-touch attribution	Which data sources the model reads
Buying ChatGPT ads against visibility gaps	Evertune	Ads Agent at 10% of media on Starter, 8% on Pro	How media spend is billed
Buyers asking in Chinese on Qwen or Doubao	Neither on the reviewed pages	Neither engine found on either vendor’s pages	Engine coverage in writing
Managed GEO in English and Chinese below $15,000 a month	A managed service such as Canlah AI	GEO service from $1,500 a month	Platforms and buyer questions per tier

Source: vendor pages reviewed October 25, 2026. Fit is an editorial judgment by Canlah AI, not a tested outcome.

Buy Petra Labs if, buy Evertune if

Buy Petra Labs if an outside team should do the work and prove it in revenue; buy Evertune if your own team will do it on published prices.

• Buy Petra Labs if you run a complex, multi-product brand with no spare AEO headcount and need AI search measured in revenue.
• Buy Evertune if you have a marketer to act on findings and want stable scores, bundled content and ChatGPT ads from one dataset.
• Buy neither yet if your buyers ask Qwen or Doubao, because neither vendor named those engines on the reviewed pages.
• Consider Bluefish if you are a Fortune 500 brand that wants a platform with services and a published SOC 2 Type II file.
• Consider a managed service such as Canlah AI if you want the work done in English and Chinese at a lower entry point.

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. It is a managed service, not a software platform, so its shape is closer to Petra Labs at a lower entry point. Canlah AI is based at 15 Sin Ming Walk, Singapore 575581, and delivers in English and Chinese.

The GEO service is priced per AI platform: Starter from $1,500 a month covers ChatGPT with four buyer questions; Growth from $3,000 a month adds Google AI Overviews with eight; Full is a customised plan that adds Google AI Mode and Gemini with 16. Each buyer question is asked five to ten real ways and re-tested monthly against the starting baseline. The written bar: “AI names you at least 30% more often than at your starting baseline, re-tested every month on the same buyer questions.” Canlah AI does not guarantee rankings.

Canlah AI sends a free AI visibility report within 48 hours, and DeepAudit costs $99 for One read or $189 for Month read; the product page lays out each step. After three months of the GEO service, clients can run the work themselves with Canlah All-Stars from $199 a month, as the pricing page shows.

The limitation is real: Canlah AI’s largest standard tier covers four AI platforms and 16 buyer questions, far fewer than Evertune’s 11 models or the 1,500-plus prompts Petra Labs tracked for Novig.

Frequently asked questions

Is Petra Labs more expensive than Evertune?

Yes. On October 25, 2026, Petra Labs stated that engagements start at $15,000 a month, typically $250,000 to $600,000 or more a year, while Evertune listed Starter at $60 a month and Pro at $800 a month billed annually. Petra Labs’ fee includes a team that does the work; Evertune’s buys software your team operates.

Is Petra Labs a software platform or an agency?

Petra Labs is both: it describes itself as a provider of custom AEO software and services, and its AEO experts use that software to do the work for clients. That makes Petra Labs closer to a managed partner than to a self-serve tool such as Evertune.

Petra Labs vs Bluefish AI: which is better?

Bluefish suits Fortune 500 brands that want a platform their own teams keep, with optional services, more than 10 LLMs tracked daily and a published SOC 2 Type II file. Petra Labs suits brands that want an outside team to own strategy, execution and attribution from $15,000 a month; no Bluefish price was found on the reviewed pages.

Does Petra Labs or Evertune track Qwen or Doubao?

No. Neither vendor named Qwen or Doubao on the pages reviewed on October 25, 2026, although Evertune names DeepSeek. Ask both to confirm engine coverage in writing if your buyers use Chinese AI assistants; this describes public positioning, not a proven technical limit.

What are the best alternatives to Petra Labs and Evertune?

Bluefish is the closest alternative to Petra Labs for a Fortune 500 brand. Petra Labs is the alternative to Evertune for a brand that wants the work done rather than software. Canlah AI is a managed GEO service from $1,500 a month, in English and Chinese, for brands below Petra Labs’ budget.

How is Canlah AI different from Petra Labs and Evertune?

Evertune sells software your team operates, and Petra Labs sells an embedded New York team from $15,000 a month. Canlah AI is a Singapore-based managed GEO service in English and Chinese, priced per AI platform from $1,500 a month and held to a written bar: AI names you at least 30% more often than at your starting baseline, re-tested every month on the same buyer questions.

Method and sources

Canlah AI compared Petra Labs and Evertune on seven dimensions using each vendor’s own public pages, all fetched on October 25, 2026, and took Bluefish facts from bluefishai.com the same day. Third-party pages were used only to find leads and are not cited. The review did not use paid accounts, test engine outputs, verify sampling counts or audit client results.

• Petra Labs homepage and solutions: offer, “100% of the work”, attribution and pricing.
• Petra Labs platform overview (February 2026) and seed announcement (July 2026): prompt sources, sampling, funding and New York base.
• Petra Labs cases for Zapier, Novig and Fractional Jobs: execution scope and client results.
• Petra Labs research on access surfaces, sampling noise, prompt radius and cross-engine behaviour: sample sizes and findings.
• Evertune pricing and homepage: plans, prices, media fees, credit formula, models and EverPanel.
• Evertune methodology, FAQ and Act: margins of error, base-model layer, content, Partner Connect and the 220,000-prompt study.
• Evertune company overview, news and customer stories: founding, funding, offices, clients and results.
• Bluefish homepage, about and services: Fortune 500 share, funding, headcount, models, security and services.
• Canlah AI GEO service, product and pricing pages on canlah.ai: tiers, buyer questions, the written bar, DeepAudit and Canlah All-Stars.

Do not choose between Petra Labs and Evertune from this page alone. Run the same ten buyer prompts past both and ask each vendor how many model responses sit behind one reported figure.

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