If you can't see how ChatGPT, Perplexity, Gemini, Claude, and Google's AI Overviews talk about your brand, you can't shape it. Here's the landscape of tools built to fix that — including Geowax, the latest entrant.An updated Next Level guide, November 2026
AI Search Optimization, also called Generative Engine Optimization (or GEO) is the discipline of influencing how large language models (LLMs) cite, summarize, and recommend your brand inside AI-powered answer engines — ChatGPT search, Perplexity, Gemini, Claude, and Grok among them. Where classical SEO competed for ten blue links, GEO competes for a single synthesized answer and the small set of sources the model chooses to cite alongside it.
The shift matters because the funnel has compressed. When an AI engine answers “What’s the killer handbag for my GenZ daughter this Christmas?” it surfaces a handful of names with reasoning attached. If your product is not in the model’s working set — or worse, is mentioned with stale or wrong context — the click never happens. By mid-2026, AI assistants are routing a meaningful share of high-intent commercial queries, and marketing teams are treating model visibility as a tracked KPI alongside organic traffic and share of voice.
In practice, GEO work tends to cluster around four activities: monitoring how often and how favorably models mention your brand against competitors; diagnosing which sources (Reddit threads, G2 reviews, your own docs, a tier-1 publication) the model drew from; optimizing content and entity signals so the right sources exist and rank in retrieval; and reporting the whole thing in language a CMO will accept. The platforms below address one or more of those layers.
AI content writer turned GEO platform
Writesonic started as an AI writing assistant and has rebuilt itself around GEO. AI visibility tracking sits alongside the tools that act on it — an AI article writer, technical site audits, and an Action Center that suggests on-page and off-page fixes. A natural fit for small content teams that want monitoring and content production in one subscription rather than two.
Pricing starts at $79/mo billed annually (about $99/mo billed monthly) for 50 prompts, but with only 3 AI engines (ChatGPT, Gemini, and Google AI Overviews), 1 user, 1 project, and 1 country/language. The Growth plan ($399/mo billed annually) raises that to 200 prompts, 3 users, and 2 projects, and adds sentiment analysis, but stays limited to the same 3 engines and a single market. Full coverage of 9 engines (including Perplexity, Claude, Copilot, and Grok), multi-region tracking, and SSO all require Enterprise custom pricing, and extra seats cost $50/user/month.
Enterprise-grade answer-engine intelligence
Profound is widely treated as the category leader for enterprise GEO. It runs large volumes of synthetic prompts across the major AI engines, surfaces brand and competitor mentions, and exposes the citation graph behind each answer so teams can see exactly which pages and domains the model is pulling from. Strongest fit for mid-market and enterprise brands with a dedicated SEO or AI search lead. Profound has since unpublished its self-serve pricing: apart from a free trial (50 preset prompts on 3 engines for 7 days), it now offers only custom-quoted Enterprise pricing, with unlimited seats and up to 9 AI engines.
GEO platform aimed at marketing teams shipping content
AthenaHQ pairs visibility tracking with workflow tooling for the people actually producing the assets — prompt libraries, content briefs informed by what the models are missing about your category, and dashboards built for non-technical stakeholders. A good middle-of-the-road choice for teams that want monitoring plus a clear “what do I do next” layer.
AthenaHQ has a free version with 5 engines and limited credits. The starter version ($295/mo billed monthly) comes with unlimited seats and 3,600 credits, but only 1 brand, 1 country, and single-language.
Daily AI visibility tracking with a competitive lens
Peec.ai leans hard on the comparison view: how often you appear versus a defined competitor set, broken out per engine, per prompt, and over time. Useful when your reporting cadence is weekly or monthly and the question on the table is “are we gaining or losing ground against named rivals.” Self-serve pricing starts at $80/mo billed annually, but like Profound, it includes only 3 AI engines. Multi-country support is available from the Advanced version (starting at $420/mo), but still limited to 3 AI models. Going beyond that requires the Enterprise custom pricing.
AI search visibility plus content optimization
Scrunch combines AI engine monitoring with a content recommendation layer — flagging gaps in your existing pages that, if filled, are likely to influence how the models describe your brand. Suits teams that want their GEO tool to feed directly into a content production calendar rather than sitting alongside one.
The Starter plan costs $300/mo billed monthly ($250/mo billed annually) for 350 custom prompts across 7 AI engines (ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews, and Meta AI), with 3 seats included. Additional seats cost extra: up to 5 more for $75/mo on Starter, or $25/seat on the Growth plan ($500/mo).
One of the earliest entrants; lightweight monitoring
Otterly was among the first tools to track LLM answers as a marketing surface and remains a sensible starting point for small teams. Tracks prompts across the major engines, returns share-of-voice metrics, and is priced for individual marketers and small agencies rather than enterprise procurement. Otterly has a Lite plan starting at $25/mo with unlimited team members and 1,000 GEO URL audits per month, but only 15 prompts. The Premium version, which goes to 400 prompts and unlimited workspaces starts at $422/mo.
PR-flavored GEO with an emphasis on earned mentions
Goodie treats GEO as a discipline closer to digital PR than to technical SEO — its workflows nudge users toward securing the third-party mentions (Reddit, review sites, publications) that LLMs tend to retrieve from. Good fit for brands whose owned content is strong but who are under-mentioned in the broader corpus. Goodie’s Core plan starts at $295/mo for 5 engines, unlimited seats, 110 tracked prompts, 1 single brand, and 2 countries/languages. The Pro version, at $999/mo, extends coverage to 8 engines, 250 prompts, and 5 countries/languages, but is still limited to a single brand.
Free starting point
Not a full platform, but worth listing. HubSpot’s free Grader returns a one-shot snapshot of how your brand fares across a few AI engines on a handful of prompts. It is the cheapest way to find out whether you have a GEO problem at all before evaluating paid tooling. HubSpot AI Search Grader has a free option for a one-time analysis, then $50/mo for continuous monitoring.
Semrush AI Toolkit, Ahrefs Brand Radar, SE Ranking, Surfer SEO
Every major SEO platform has shipped a GEO module over the past 18 months. The trade-off is consistent: integration with your existing keyword, backlink, and rank tracking workflows in exchange for monitoring that is usually less deep than what a specialist tool offers. If you already pay one of these vendors, turning the GEO module on is a sensible first step before adding a dedicated platform on top.
“Your Business on AI Engines” — simple, insightful, actionable GEO
Geowax (geowax.ai) is the newest dedicated GEO platform in this list and positions itself as “AI-Native, AI-first.” It tracks brand visibility across up to seven engines on the Pro plan — ChatGPT, Gemini, Google Search AI, Claude, Perplexity, and Grok — and pairs the monitoring with three things most competitors price as add-ons or skip entirely:
While the beta still lacks the automated content writing that other products include, at just $234/mo billed annually ($279/mo billed monthly), the Pro package is extremely competitive. It is packed with features global companies require to have visibility on their regions / languages, that are only available at much higher costs from other platforms.
Other notable extras: scheduled daily/weekly/monthly analysis, prompt grouping by product line (again, with no limitation), AI-assisted content writing coming soon on the Pro plan, and a credit-pack model ($90 for 1,000 credits) for teams whose usage spikes around campaigns. Headquartered in Tokyo, Geowax reads as a serious challenger in the mid-market — priced beneath the enterprise specialists but with a deeper feature set than most self-serve tools at the same tier.
The right platform is the one that matches your team’s maturity and budget, not the one with the longest feature list. Three rough buckets:
Just diagnosing. Run HubSpot’s free Grader, then add Otterly or the free tier of Geowax to get a few weeks of trend data before committing to anything paid. The goal here is to find out whether the models are even mentioning you, and if so, with what sentiment.
Operationalizing AI Search Optimization. Once you have a dedicated owner and a content team, the question becomes which platform plugs cleanly into the work. Geowax, AthenaHQ, Peec.ai, and Scrunch all sit in this band; pick based on whether you care most about competitive benchmarking (Peec), content workflow (Scrunch, AthenaHQ), or breadth of engines and global reach at a reasonable price (Geowax). If you already pay Semrush or Ahrefs, turn their GEO modules on first and only upgrade to a specialist if you hit a clear ceiling.
Enterprise-grade. Profound is the default at this tier — high prompt volumes, custom segmentation, executive reporting, and procurement that expects an SSO-and-SOC2 conversation. Goodie is a natural complement if your brand needs to fix its earned-media footprint at the same time.
One thing every tool gets right, and one thing none of them solve. All of these platforms can tell you that your brand is mis-cited or under-cited. None of them can produce, on your behalf, the source material — the docs, reviews, comparisons, and third-party coverage — that the models actually retrieve from. The platform is the scoreboard. The work is still the work.
AI Search Optimization in 2026 looks a lot like SEO in 2010: a fast-maturing category, a handful of category-defining tools, and a much larger group of buyers still figuring out where it sits in the org. The single best move for most marketing teams right now is to stop debating whether AI Search Optimization is real and instead set a baseline — pick any tool from the free or starter end of this list, run it for a quarter, and let the data tell you whether you have a problem worth a budget line.
For most mid-market teams reading this in 2026, the most pragmatic stack is one established AI Search Optimization suite with its AI Search Optimization module enabled, plus one dedicated AI Search Optimization platform for depth. Geowax is worth a serious look in that second slot — particularly if you operate across multiple regions or languages, or if pricing transparency matters to you.
Geowax homepage and pricing page (geowax.ai), read directly. Other platforms were described from publicly available positioning at the time of writing; verify pricing and feature claims with each vendor before purchase.
