Best AI Search Optimization Tools 2026: 6 GEO Tools Ranked

As of September 2026, if you have budget and want gap discovery through content publishing in one place, look at Profound first. If you already use Ahrefs or Semrush, start with that suite's AI visibility features. To start on a monthly subscription with recommendations in Korean and re-measurement, look at TRAIL Search, and to run a pilot at the lowest cost per prompt, look at Otterly.AI. We ranked the tools on six criteria: measurement method, connection to action, engine coverage, Korean language and market, cost structure, and track record, with higher weight on measurement method and connection to action. Below the ranking table, we also show how the order changes under different priorities.

First, our method. Everything below comes from opening each tool's official pricing page and feature documentation, plus third-party reviews published in 2026, and cross-checking them ourselves in September 2026. It is not the result of running all six tools over a long period. Most of the third-party reviews we cite come from tool comparison sites or blogs of competing tool vendors, so they have interests of their own (the Ayzeo review, for example, also recommends its own plans). And the biggest conflict of interest is ours. TRAIL Labs, which wrote this post, operates TRAIL Search, one of the candidates. So every sentence about TRAIL Search uses only facts recorded in our company canon, and where scores tie, we placed ourselves lower.

Criteria and weights

There are six criteria, with higher weight on measurement method and connection to action. Track record is about vendor stability when choosing a tool, so we gave it medium weight.

Table 1. The six criteria and their weights. High counts double (weight 2) and medium counts once (weight 1) in the total.

We weighted measurement method most heavily because, as the Don't Measure Once paper lays out, AI answers change with every run, every phrasing of the prompt, and every point in time, so a single observation is hard to trust ^[16]. How many times a tool repeats the same question and how it shows the variance is the first test of whether you can trust it. We weighted connection to action second because the up to 40% visibility gain reported in the original GEO paper came from content edits that added statistics, citations, and sources ^[15]. A dashboard alone does not change your visibility.

2026 AI search visibility tool comparison

Scoring the six tools on the six criteria gives this order: Profound, Ahrefs Brand Radar, Semrush, TRAIL Search, Peec AI, Otterly.AI.

Table 2. Ratings by criterion and weighted totals for the six tools as of September 2026. High = 3 points, Mid = 2 points, Low and Unconfirmed = 1 point. TRAIL Search added Naver AI Briefing in October 2026, and we left the ratings above as of September.

1. Profound: browser collection, daily runs, and a link to content creation, but pricing is by inquiry.
2. Ahrefs Brand Radar: measures with a huge prompt set drawn from real search demand; content creation happens elsewhere.
3. Semrush: the choice for teams already on Semrush who want AI visibility next to their SEO data.
4. TRAIL Search: strong on published measurement rules and on connecting recommendations to re-measurement; weak on engine count and track record.
5. Peec AI: built for agencies that need unlimited seats and multi-country reporting; no content creation tools.
6. Otterly.AI: good for a pilot at the lowest entry price; your team decides what to fix.

The table cells reflect what each tool's official page states. Where we could not confirm a price on the official page, we used third-party review figures and cited the source, and anything we could not confirm is marked Unconfirmed and scored as Low. Prices change often, so check the vendor page again before you pay. Different priorities produce a different order. If you weight cost most heavily, Otterly.AI and Peec AI move up to first and second. If Naver measurement is a must, the other five tools' official pages did not show it as of our September check and TRAIL Search added Naver AI Briefing in October, so also read the outside-the-ranking note below. Third and fourth place tie on total score, so we put ourselves (the operator) lower, and fifth and sixth also tie, so we put the tool with the wider engine pool first.

No. 1 Profound: from gap discovery to content publishing on one platform

Profound scored highest on measurement method and connection to action, and lowest on cost structure. Profound's Answer Engine Insights documentation says it collects answers directly in a browser rather than through an API and runs tracked prompts every day, so the visibility score reflects the average of many responses (vendor's own claim) ^[2]. The same documentation walks through finding prompts where competitors are cited and you are missing, using the Agents feature to create and publish content aimed at those prompts, and then tracking them again. It also says it supports more than 30 languages and more than 150 regions (vendor's own claim) ^[2].

The engine count differs from page to page. The pricing page lists nine engines on the Enterprise plan: ChatGPT, Perplexity, Google AI Mode, Gemini, Copilot, DeepSeek, Claude, Google AI Overviews, and Exa Search, while the feature documentation lists eight, including Grok ^[1]. The weakness is price. The pricing page shows only a free trial with 50 prompts run daily for 7 days, and an Enterprise plan with no amount listed ^[1]. In November 2025, Profound's own blog described its cheapest plan as $99/month (ChatGPT only, 50 prompts, 1 user) ^[9], but the AEO Labs review, updated in September 2026, says only the free trial and an inquiry-based Enterprise plan remain on the pricing page ^[3]. Assume there is currently no public self-serve entry price and confirm it in a demo.

No. 2 Ahrefs Brand Radar: a huge prompt set built from real search demand

Brand Radar's strength is where its prompts come from. Ahrefs' official page says it expands real search queries from its keyword database into natural-language questions through People Also Ask and semantic fan-out, and runs more than 451 million prompts on each AI platform (vendor's own claim) ^[4]. Because it measures with questions close to actual search demand rather than questions a marketer made up, we rated its measurement method high. In July 2026, the Honeyb review wrote that prompts run on each platform's public web interface and that the pool at the time was 414 million ^[6]. The default tracked engines are six: AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot, with Claude as an option ^[4].

Its cost structure is the hardest of the six to read. According to the official page, the AI Visibility Index alone is $199/month, the custom prompt add-on starts at $50/month, and some of it is included in paid plans from Lite up ^[4]. In August 2026, a Ryze post recorded that, during the same period, Ahrefs' product page showed $398/month (selected platforms) and $699/month (all platforms) while its pricing page showed "from $199/month," so the two did not match ^[5]. Recheck which price applies at checkout. We rated connection to action as Mid because it provides visibility metrics and per-platform prompt visibility, but we could not confirm on the official page any feature that turns a gap into content creation or page fixes.

No. 3 Semrush: on the same screen as your SEO data

For teams already running SEO in Semrush, this is the lowest-friction choice. The Semrush pricing page shows Starter at $199/month ($165.17/month billed annually) with 50 daily tracked prompts and 1 domain for AI brand performance, Pro+ at $299/month with 100 prompts, and Advanced at $549/month with 200 prompts, and lists the tracked surfaces as Google Search, ChatGPT, Perplexity, Gemini, and others ^[7]. There is also a free AI Visibility Checker for non-subscribers ^[7]. The Sightivo review, which checked prices in August 2026, notes that the standalone add-on is $99/month per domain with 25 prompts and no free trial, and requires an existing Semrush subscription, so the real entry price for a new team is $199 ^[8]. The blog of competing vendor Profound lists the standalone add-on at the same price and adds that each extra domain and each extra seat costs $99/month ^[9].

We rated both measurement and action as Mid. Running prompts daily is good, but prompts come from user input, we could not confirm the collection method on the official page, and we could not find a workflow inside the AI visibility features that turns gaps into content. According to Sightivo, Claude, Copilot, and DeepSeek are tracked only in a separately quoted Enterprise product ^[8].

No. 4 TRAIL Search: published measurement rules and a link from recommendations to re-measurement, but fewer engines

TRAIL Search rated High on connection to action, Mid on measurement method, and Low on engine coverage and track record. Its weighted total ties with Semrush, so as the operator we placed it lower. For measurement, only discovery prompts that do not contain the brand name count in the share-of-voice denominator, the baseline is the median of at least 10 prompts run twice, and each cell gets a badge by repeat count: preliminary estimate (fewer than 3 runs), medium confidence (3–6 runs), or high confidence (7 or more runs). These thresholds come from the experimental setup in Don't Measure Once ^[16]. It separates unmeasured from 0%, records a fingerprint of the prompt set so a change in the set is not reported as an improvement, and shows an evidence grade on screen for every scoring item. We rated measurement as Mid because tracked prompts are either chosen by the user or generated from brand information, rather than drawn from a real search-demand database the way Ahrefs Brand Radar does.

The connection to action runs inside a single product. After a site passes three hard gates that check whether AI crawlers can read it, pages are scored on a 100-point rubric; llms.txt and schema are generated automatically along with recommendations; AI draft generation produces articles that answer the questions you are missing; and after publishing, a re-measurement delta shows what changed. It does not edit existing pages; it produces the fix list, llms.txt and schema files, and new articles. Connect GA4 and Search Console and it also detects AI-referred traffic. It also runs an MCP server that AI agents can call directly (free read tools).

The weaknesses are clear. It measures fewer engines than Profound (nine), and whether cited URLs are collected depends on the engine and its settings. Perplexity, Google AI Overviews, and Naver AI Briefing return the sources with the answer, while ChatGPT and Gemini citations are collected only when the service's web search integration is on, and Claude records mentions only. The company was founded in May 2026, so its track record is short, and it does not disclose customer counts or usage scale. It offers tracking by market (country and language) and, on the Custom plan, review of advertising-claim regulations for Korea, Japan, and the US. Per the pricing page, pricing is Free at 0 KRW (10 tracked prompts, no card), Starter at 199,000 KRW/month (30 prompts, 1 domain), Pro at 399,000 KRW/month (100 prompts, 3 domains), and Max at 899,000 KRW/month (1,000 prompts), with a 17% discount for annual billing ^[17]. Check the pricing page again before you pay.

No. 5 Peec AI: unlimited seats and multi-country, content creation elsewhere

Peec AI rated High on cost structure and Low on connection to action. The official pricing page lists four plans, Starter, Pro, Advanced, and Enterprise, along with tracking scope for countries, languages, projects, and competitors, plus gap analysis and recommended actions, but we could not read the amounts in the page body ^[13]. So we list prices from third-party sources side by side. In March 2026, a Tim Soulo post listed Starter at 89 EUR/month and Pro at 199 EUR/month (150 prompts), choosing 3 engines from a pool of 12 ^[11]. In August 2026, Ryze listed $95, $245, and $495/month for 50, 150, and 350 prompts ^[5], and in the same month Ayzeo listed 70, 180, and 360 EUR/month, choosing 3 of 6 models ^[12]. Currencies and amounts differ by source, so rechecking before you pay is a must.

Sources agree that it has no content tools. Tim Soulo wrote that it has neither content creation tools nor a site audit ^[11], and how far the gap analysis and recommended actions on the pricing page actually go toward doing the work for you is something to check in a demo. Ayzeo's summary, that seats are unlimited on every plan and multi-country prompt tracking starts at the Advanced plan, describes conditions that suit agencies reporting on multiple brands and countries ^[12]. The claim of more than 3,000 brands and agencies using it is the vendor's own ^[13].

No. 6 Otterly.AI: pilot at the lowest entry price

Otterly.AI fits teams that first want to check whether AI search visibility is worth spending on at all. The official pricing page shows Lite at $29/month ($25 billed annually) with 15 prompts and four engines (ChatGPT, Google AI Overviews, Perplexity, Copilot); Standard at $189/month with 100 prompts, 2,000 API and 2,000 MCP calls per month, and a Looker Studio connector; and Premium at $489/month with 400 prompts ^[10]. Claude, Google AI Mode, and Gemini are paid add-on engines, and 100 extra prompts cost $99/month ^[10]. Every plan allows unlimited team members ^[10].

We rated measurement Mid and action Low because it is a tool focused on monitoring, so your team has to decide what to fix. In August 2026, the Ayzeo comparison mentions support for more than 50 countries and selection as a 2025 Gartner Cool Vendor; read the selection as something the vendor states ^[12]. MCP and API access, available from the Standard plan, is a plus for teams that want to build measurement into agent workflows ^[10].

Outside the ranking: a tool that includes Naver as a measured engine

As of our September 2026 check, the other five tools' official pages did not show Naver measurement, and TRAIL Search added Naver AI Briefing as a measured engine in October. To compare other candidates that measure Naver, you need to look outside the ranking. Aeolo's official page lists seven engines: ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews, Amazon Rufus, Naver, and DeepSeek. It describes a flow of finding questions where the brand is missing, writing and publishing sourced articles, and measuring traffic with GA4 and Search Console, plus CLI and MCP connections ^[14]. We limited the six tools in this post to those repeatedly compared in third-party reviews as of September 2026, plus our own product. Aeolo has no pricing on its landing page, and we could not confirm its measurement method or repeat counts on its public pages, so we mention it only as an outside-the-ranking reference.

Choosing by situation

Different priorities mean a different tool to look at first.

Table 3. Which tool to look at first by situation. Even after you pick one, check the results yourself with a few Korean questions during the trial.

The first 90 days

Before the tool, decide on your prompt set. If you track the wrong questions, even the most sophisticated tool will point you in the wrong direction.

Step 1 (weeks 1–2): Design discovery prompts. Build the set from comparison and recommendation questions that customers ask without knowing your brand name, and manage questions that include your brand name separately, for checking answer accuracy. Mixing the two inflates your share. We cover how to design prompts in our prompt tracking post.

Step 2 (weeks 3–6): Turn gaps into content tasks. Pick prompts where competitors are cited and you are missing, and strengthen a page with a comparison table that answers the question directly and sourced figures. The approach the original GEO paper found effective was also adding citations, statistics, and sources ^[15].

Step 3 (weeks 7–12): Re-measure and interpret. Measure again with the same prompt set, but read each engine separately, and judge a one-off spike only after you have enough repeats. We cover the trap of reporting performance with a single number in The risk of a single AI visibility score.

Limitations

There are four things this comparison could not see. First, it is a comparison based on public materials, without running all six tools on the same prompt set at the same time, so we could not verify how stable the actual measurements are or how good the Korean prompts are. Second, prices are as checked in September 2026, and some tools, such as Profound and Ahrefs, changed their pricing structure within a few months, so the vendor page is the reference at the time you pay. Third, for the Korean market criterion we only looked at what official pages state, so we did not conclude that a tool lacks a Korean UI or Naver support; we marked it Unconfirmed. Fourth, one of the candidates is our own product, so its score should not be read as an independent evaluation.

Next steps

Choosing becomes easier if you first write down which questions your brand is missing from. Just picking 10 discovery questions and entering them into ChatGPT, Perplexity, and Gemini yourself shows which features of which tools you actually need. We explain how to read the metrics in our brand share-of-voice measurement post and our AI search measurement framework, and teams for whom Naver AI Briefing matters should read our Naver GEO guide first. TRAIL Search is one option for a no-card self-diagnosis of 10 tracked prompts on the Free plan, and you can decide after reading the weaknesses in the ranking table above.