Best AEO Tools in 2026: Verified Prices, and Which Ones Actually Work in Arabic

There are now more than two dozen products selling the same promise: tell you whether ChatGPT, Gemini, Perplexity and Google’s AI answers mention your brand. Almost every article ranking them is written by one of them.

So this one is built differently. We opened every vendor’s pricing page on 5 August 2026 and recorded what it actually says. Where a vendor renders its prices in JavaScript, or hides them behind a demo form, we say so rather than repeating a number from someone else’s blog. Then we did two things nobody else has done: we checked the prompt limits against the sample sizes the published statistics say you need, and we built an Arabic and Gulf support matrix.

Key takeaways

How we checked, and what we did not do

Every price in the table below was read directly from the vendor’s own pricing page on 5 August 2026. Nothing was copied from another article. Where a figure could not be read at source, the cell says UNVERIFIED rather than carrying a guess.

What we did not do: we did not run a controlled accuracy test of these tools against each other. Nobody has, and we are not going to pretend otherwise, see the section on independent benchmarking below, which is the most important part of this page.

Verified pricing: what these tools actually cost

Why the prices are not comparable, and how to compare them anyway

Every listicle puts “$99” next to “$399” as though those buy the same thing. They do not, because no two vendors define a unit the same way.

• Profound, Peec, Scrunch and Gauge count prompts.
• ZipTie counts AI search checks, each of which covers three engines, so its 500 checks are worth roughly 1,500 single-engine prompts.
• Ahrefs counts a check as one prompt on one platform in one location. Five tracked prompts on Lite means five, not five per engine.
• Rankscale, AthenaHQ, Geneo and Conductor use abstract credits. AthenaHQ: one credit is one AI response. Rankscale: roughly 0.25 credits per query, but Claude costs 2 and DeepSeek 1.

Only Ahrefs publishes a per-unit overage rate, $0.010 to $0.020 per check depending on pack size. That is the only clean price benchmark in the market, and you can use it to sanity-check everyone else. If a vendor charges you materially more than two cents per prompt-engine-location, ask what the premium buys.

Two hidden multipliers matter more than headline price. Engine coverage is the real upsell lever: Profound’s $99 tier is ChatGPT only; Writesonic advertises ten engines but all three self-serve tiers get three, with ten reserved for Enterprise; Otterly charges up to $439 a month for Claude alone as an add-on. Seats are the second: Otterly, Peec, Rankscale and AthenaHQ include unlimited seats from their entry tier, while ZipTie gives you one seat at every tier including the $159 Pro plan, and Ahrefs charges $40 to $100 per extra user per month.

The question that decides whether any of this is real

Before you spend anything, understand what these tools are measuring against. Generative engines do not return the same answer twice.

An independent academic study sampled the same queries repeatedly across Perplexity, OpenAI SearchGPT and Google Gemini. Median domain-level overlap between two runs was 0.50 on Perplexity, 0.33 to 0.40 on SearchGPT and 0.29 to 0.31 on Gemini. On Gemini, between one and two runs in a hundred shared no cited domains at all. The paper matched at domain level and notes that URL-level agreement would be strictly worse.

Its conclusion is the sentence every buyer in this category should read before signing anything: single-run metrics give “a misleadingly precise picture”, and many apparent differences between domains fall inside the noise floor of the measurement process.

How many prompts you actually need

The same paper publishes the thresholds. To get a 95% confidence interval spanning five percentage points on citation share you need roughly 40 to 50 prompts on Gemini, around 100 on Perplexity, and 150 or more on SearchGPT.

Now compare that with the pricing table. Ahrefs Lite gives you five tracked prompts for $129 a month. Otterly Lite gives fifteen for $29. Profound Starter and Peec Starter give fifty. None of those can produce an interval narrow enough to distinguish an eight percent citation share from three percent or thirteen percent. The cheapest tiers that clear the bar on a single engine are around Peec Pro at $245 and SE Ranking Core at $129 for 100 prompts a day.

Which ChatGPT is your vendor actually asking?

An agency ran 900 controlled trials in one day, 300 per surface, one prompt, the same model, web search forced, no personalisation, comparing logged-in paid ChatGPT, logged-out free ChatGPT and the Responses API. One brand appeared in 48.3% of logged-in answers, 0% of logged-out answers and 18.3% of API answers. Another brand had the inverse: 0% logged-in, 47.0% logged-out.

Split-half controls put within-surface error at 4.5–7.1% and cross-surface error at 10.8–16.1%. The surface effect is one and a half to three and a half times larger than run-to-run randomness. No vendor in this category publicly discloses which surface it samples. Zapier is the only publisher we found that even raises the issue, noting that some tools scrape front-end LLM interfaces rather than using APIs.

Arabic and the Gulf: the support matrix nobody publishes

This is the section that does not exist anywhere else in English. Country coverage and language coverage are two different things, and vendors routinely publish the first while leaving the second unstated.

The commercial details nobody mentions

• No tool prices in AED or SAR. Not one. USD is the default; Otterly and Rankscale also show EUR; Nightwatch is EUR-only; Trakkr displays GBP but bills in USD.
• GCC VAT is essentially unhandled. Only Semrush documents GCC registration, at 5% for the UAE and 14% for Egypt on B2C. Ahrefs and SE Ranking publish tax-jurisdiction lists with no GCC state on them.
• Right-to-left interface support barely exists. Profound is the only vendor that has said anything on the record, stating in November 2025 that RTL support would be added in a future update. Every dashboard we inspected is left-to-right and English-only.
• No vendor publishes an Arabic-language interface or an Arabic marketing site. Not Semrush, Ahrefs, SE Ranking, Profound, Peec, Otterly, Conductor, Scrunch, Rankscale, Writesonic or Geneo.

The Arabic LLM blind spot

Four state-backed Arabic language models are live and in public use: Falcon-H1 Arabic from TII in Abu Dhabi, ALLaM from SDAIA powering HUMAIN Chat in Saudi Arabia, Jais 2 from Inception and G42, and Fanar 2.0 from QCRI in Qatar. ALLaM handles Gulf, Egyptian and Levantine dialects.

Cross-checked against a 33-tool industry inventory, not one AEO tool tracks any of them. Neither does Statcounter. If your brand matters inside a Gulf state’s own national model, there is currently no vendor solution and no dashboard. It has to be measured manually, on a fixed prompt set, at a fixed cadence, which is worth doing precisely because nobody else is.

There is also a dialect problem that no tracker addresses. Google supports Modern Standard Arabic in AI Mode, rolled out in October 2025, not Gulf, Egyptian or Levantine dialects, and no tool distinguishes dialects either. Buyers ask in dialect. Your prompt set should too, even though nothing will help you measure it automatically.

What you can get for free, accurately

Three official sources now give AI visibility data at no cost. Most articles describe them incorrectly, so here is what each actually does.

Add free tiers of paid tools, AthenaHQ Essential is genuinely free with 300 credits across five engines, and XFunnel offers 50 one-time queries, plus raw server-log analysis, which on a Cloudflare free plan is the only route to AI referral data at all.

Nobody has ever independently benchmarked these tools

We searched specifically for this, in several forms, and the answer is a clean negative: there is no rigorous independent benchmark of AI visibility tracker accuracy. Every accuracy figure in circulation, the “85 to 96% across leading platforms” claims, the “97.3% versus 94 to 96%” comparisons, appears with no stated ground truth, no sample size, no date, no author and no replication protocol. Several trace back to affiliate blogs. A vendor cannot self-report accuracy against an undisclosed reference standard.

An academic survey reviewing 45 studies put it plainly: commercial audits reveal “low source overlap, substantial run-to-run variability, and persistent fidelity gaps”, and no reviewed technique shows a stable, longitudinal, cross-platform causal effect.

There is a live example of why cross-tool comparison is unreliable. Ahrefs published data in June 2025 showing Reddit does not appear in ChatGPT’s top ten cited domains. Semrush published data from August 2025 showing ChatGPT cited Reddit in about 60% of responses. Both are probably correct, they measure different things, mention share of all citations versus the percentage of responses containing a citation, and both companies sell trackers. That definitional divergence is the reason two dashboards pointed at the same brand can disagree and both be defensible.

When you should not buy one of these at all

No article in this category argues against the purchase, which should itself tell you something.

If brand identity accounts for roughly 1.5% of the variance in a single AI answer, and ranking reliability at a full crossed design reaches only about 0.36, then a small brand paying $29 to $99 a month for 15 to 50 prompts is buying noise with a dashboard attached to it. The dashboard will move. The movement will not mean anything.

How to read a vendor listicle

Six of the eight competing articles we analysed rank their own product first. None carries a conflict statement. One publishes a full four-tier pricing table for itself and leaves the pricing heading empty for six of its competitors. One describes a prompt-tracking tool as a meeting-transcription product, having confused two companies with similar names.

1. Check whether the publisher sells a tool on the list. If they do and they are ranked first, that is the finding.
2. Check whether prices are published for competitors, not just for the author. Empty pricing sections are the clearest possible signal.
3. Look for a stated methodology with dates. Ratings to one decimal place with no rubric are invented precision.
4. Spot-check two prices at source. We found material errors in circulating figures for ZipTie, Nightwatch, SE Ranking and Gauge.
5. Check the FAQ schema. At least one vendor has engineered its FAQPage markup so that AI engines extract its own brand name as the answer to “what is the best AI visibility tool”.

So which one should you buy?

The honest answer depends on three things: how many prompts you need, which engines matter in your market, and whether you work in Arabic.

Frequently asked questions

What is the best AEO tool in 2026?

There is no single best one, and any article that names one without disclosing whether it sells that tool should be discounted. For a single brand on a small budget Otterly is the cheapest credible entry point at $29 a month. For agencies, Peec AI Pro at $245 gives unlimited seats and enough prompts to be statistically meaningful. For traffic attribution rather than visibility alone, Profound has the strongest integration layer. If you work in Arabic, Conductor is the only vendor publishing per-country engine coverage, and it is the only one documenting full engine support for Saudi Arabia in Arabic.

How much do AEO tools cost?

Verified entry prices in August 2026 range from free, at AthenaHQ Essential, to $800 a month at Evertune Pro, with most credible tiers between $99 and $399. The spread between nominally comparable entry tiers is roughly fifteen times. Nine of the twenty-six vendors we checked publish no usable price at all and require a demo. Ahrefs is the only vendor publishing a per-unit rate, at one to two cents per prompt-engine-location check.

Do AEO tools support Arabic?

Some do, and country coverage is not the same as language coverage. Conductor names Arabic per country and documents which engines are unsupported in each Gulf market. Otterly names Arabic and covers the UAE, Saudi Arabia, Egypt and Qatar but not Kuwait. Knowatoa supports Arabic by ISO code. Evertune sells 140 countries including the entire Gulf and does not list Arabic among its supported languages. SE Ranking offers Arabic in its free tracker but not in its paid product.

How accurate are AI visibility tools?

Nobody independent has ever checked. Every accuracy figure in circulation is vendor-published against an undisclosed reference standard. What is documented is the underlying instability: median citation overlap between two runs of the same query is around 0.50 on Perplexity and 0.30 on Gemini, and brand visibility for one prompt varied by up to 48 percentage points depending on whether the tool queried logged-in ChatGPT, logged-out ChatGPT or the API.

How many prompts do I need to track?

Roughly 40 to 50 on Gemini, around 100 on Perplexity and 150 or more on SearchGPT, if you want a 95% confidence interval spanning five percentage points on citation share. Most entry tiers fall well below this: Ahrefs Lite gives five tracked prompts, Otterly Lite gives fifteen. Below the threshold you cannot distinguish a real change from measurement noise.

Can I track AI visibility for free?

Partly, and better than most articles suggest. Bing Webmaster Tools has offered AI Performance data since February 2026, including grounding queries, which is the only official query-side signal for AI answers anywhere. Google Search Console added a generative-AI report in June 2026, though it shows impressions only with no clicks or queries. Cloudflare AI Crawl Control is free on all plans for crawler analytics, but AI referral data requires a paid plan.

Does any Arabic-language AI visibility tool exist?

One verifiable Arabic-native platform exists: Zaher.AI, founded in Cairo, with an Arabic interface. We verified its funding and headquarters but have not independently tested its coverage. No UAE, Saudi, Qatari or Kuwaiti headquartered equivalent was found. Separately, none of the roughly thirty tools in the market tracks any of the four live state-backed Arabic models, Falcon-H1 Arabic, ALLaM, Jais 2 or Fanar, so visibility inside those has to be measured manually.

Related guides

• How to Become a GEO Expert in 2026: The Complete Career Guide
• How to Measure AI Visibility (Share of Model): A 2026 Playbook
• Arabic GEO: How to Get Your Arabic Content Cited by ChatGPT, Gemini and AI Overviews
• Best GEO Agencies in the Middle East & Gulf (2026)
• llms.txt: What It Is and Does It Actually Help AI Search?