The short answer
Pick a GEO tool by walking a decision path, not by scanning a feature grid. First fix your budget bracket: published pricing now runs from Rankscale's $20/month Essentials tier and Otterly's $29 Lite plan through Peec at $95, Profound's $99 Starter, Trakkr at $100, AthenaHQ at $295, and Evertune's $800 Pro, with custom enterprise deals above that. Then read the engine fine print, because headline prices rarely cover every engine on the vendor's homepage — Profound's $99 Starter tracks ChatGPT only, and Claude is a paid add-on or workaround on several platforms. Finally, confirm the tool stores verbatim answers and citations so you can audit its numbers yourself.
Start with the job to be done
GEO tools split into three jobs: monitoring (are we visible?), diagnostics (why aren't we?), and workflow (what should we do next?). Most teams need monitoring first, diagnostics second, and workflow only once a program is mature. The price ladder roughly follows that split: sub-$100 plans are monitoring-first, the $250-500 bracket adds diagnostics and content actions, and high-volume measurement sits at $800 or behind custom enterprise pricing.
Know the price ladder before you demo
These are published entry prices as of late July 2026, taken from each vendor's own pricing pages. Treat them as anchors for comparison, not the price you will pay once engines, prompts, and seats are configured.
- Rankscale: Essentials from $20/month (limits not reliably published — verify in-app); Pro $99; Growth $385; Enterprise $780
- Otterly AI: Lite $29/month for 15 prompts; Standard $189 (100 prompts); Premium $489 (400 prompts)
- HubSpot AEO: $50/month, or $45/month paid annually, for 25 daily prompts; still labeled beta - trial terms are inconsistently described (25 prompts vs 28 days), confirm at signup
- Peec AI: Starter $95/month for 50 prompts; Pro $245; Advanced $495
- Profound: Starter $99/month billed yearly (ChatGPT only, 50 prompts); Growth $399/month billed yearly; Enterprise custom
- Trakkr: Growth $100/month (one brand, 50 prompts, eight models); Scale $500 adds a REST API; billed in USD even where GBP/EUR prices display
- Similarweb AI Search: AEO Intelligence $99/month billed annually or $129 month-to-month
- Semrush AI Visibility: standalone plan $99/month per domain billed annually, with 25 custom prompts
- AthenaHQ: free Essential tier (300 credits); Starter $295/month (3,600 credits)
- Evertune: Pro $800/month for 100,000 prompts analyzed across up to 11 models, with unlimited brands, competitors, and users; Enterprise custom
The decision path
Work through four questions in order — each one eliminates most of the field.
- Under $50/month? Otterly Lite ($29) buys the widest base engine set at that price — ChatGPT, Google AI Overviews, Perplexity, and Copilot. HubSpot AEO ($45-50) fits teams already on HubSpot and covers ChatGPT, Perplexity, and Gemini. Rankscale's $20 tier undercuts both, but confirm its actual limits in-app first.
- Around $100/month? Decide what you are optimizing for: model breadth (Trakkr, $100, eight models including Claude), competitor workflow (Peec, $95, three engines of your choice), an upgrade path into the category's enterprise reference platform (Profound Starter, $99 billed yearly, ChatGPT only), or AI visibility joined to traffic data (Similarweb, $99-129).
- Need diagnostics and content actions, not just monitoring? AthenaHQ's $295 Starter adds a recommendation and content layer on a 3,600-credit meter. Budget credits as prompts × models × locations × refresh cadence — the meter drains faster than the plan name suggests.
- Measuring at brand scale? Evertune's $800 Pro analyzes 100,000 prompts across up to 11 models with unlimited brands and seats. Above that, pricing goes custom: Profound Enterprise reaches up to ten answer engines, and Semrush gates Copilot, Claude, Grok, and DeepSeek behind its Enterprise AIO product.
Engine gating: read the fine print before you sign
The most common buying mistake in this category is assuming the headline price includes every engine the vendor advertises. It usually does not. Check which engines your tier actually tracks, what add-ons cost, and whether exports are gated too — Profound's Starter, for example, includes no data export or API.
- Profound Starter is ChatGPT-only. Perplexity and Google AI Overviews arrive at Growth ($399/month billed yearly); the full ten-engine list, including Claude, Gemini, Copilot, Grok, and DeepSeek, is Enterprise-only.
- Otterly's base plans cover four engines. Gemini and Google AI Mode are add-ons at $9-149/month each, and Claude runs $29-439/month depending on plan — on Premium, the Claude add-on approaches the cost of the base plan itself.
- Peec's self-serve tiers include three of six default engines; a fourth engine costs $35, $85, or $165/month depending on tier.
- Ahrefs Brand Radar indexes seven platforms (AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Grok), but Claude works only through custom prompts, where one Claude check consumes eight checks; Grok data collection was temporarily paused as of late July 2026.
- Semrush's $99 standalone plan covers Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini; Copilot, Claude, Grok, and DeepSeek require Enterprise AIO.
- AthenaHQ meters usage in credits — one credit per collected AI response — so its engine list is only as wide as your credit budget allows.
Why engine coverage and repeat sampling actually matter
Engine gating would be a pricing footnote if all engines cited the same sources. They do not. Muck Rack's May 2026 analysis of more than 25 million links across ChatGPT, Claude, and Gemini in 17 industries found each engine had a different top-cited domain: Wikipedia for ChatGPT, PubMed Central for Claude, and Reddit for Gemini. Overlap with classic Google results diverges just as sharply: an Ahrefs test of 3,311 head terms found Perplexity's citations matched a Google top-ten domain 80.58% of the time, while ChatGPT matched only 31.8%. A tool that tracks one engine is measuring one distribution, not "AI visibility." Repeat sampling matters for the same reason: Ahrefs has documented that identical prompts can return different responses across runs, so insist on multiple samples per prompt before trusting any trend line.
Use the free first-party baseline
Whatever you buy, anchor it against free first-party data. Google added generative-AI performance reports to Search Console in June 2026, covering AI Overviews and AI Mode by page, country, device, and date for a subset of sites. For Google's surfaces that is ground truth no vendor can match — Google's own AI-search guidance notes that third-party tools do not have access to its internal search data. Third-party dashboards remain essential for cross-engine coverage and competitor benchmarking, but treat their Google numbers as estimates. And audit answer-level evidence, not just mention counts: a 2026 preprint that studied 55,393 queries reported that 11% of atomic claims in AI answers were unsupported by their attached citations — a provisional, pre-review figure, but a useful warning. A good tool stores the verbatim answer and its citations so you can run that audit yourself.
Run a bake-off before you commit
Shortlist two or three tools from the decision path and run the same frozen prompt set through each for two to four weeks. Trial economics make this cheap: Otterly offers a 7-day trial with 50 prompts and no credit card, Trakkr a 14-day trial, HubSpot AEO a trial whose terms it describes inconsistently (confirm at signup), and AthenaHQ a free Essential tier with 300 credits. Score each tool on mention-detection accuracy against answers you check by hand, on whether raw responses export cleanly, and on how well its numbers survive week-to-week variance. Then buy the cheapest tier that passes — you can climb the ladder later, and every vendor on it would rather upgrade you than lose you.