AI search is a real acquisition channel now. Users ask ChatGPT, Perplexity, Gemini, Copilot, and Google’s AI Overviews for the “best X” and then buy from whatever those systems recommend.
And it's accelerating. ChatGPT crossed 900 million weekly active users in February 2026, more than double a year earlier (OpenAI, via Reuters). When that many people ask a machine what to buy, "do we show up in the answer" stops being a nice-to-have.
Over the last six months, I’ve tested every GEO platform that matters, burning through trial accounts and client budgets to figure out what actually moves the needle for AI visibility. Some tools delivered. Most didn’t.
Here’s my short list of GEO platforms worth your time — from the perspective of a growth marketer who cares about outcomes, not hype.
Why Traditional SEO Tools Failed at GEO
Google's algorithm rewards keywords and backlinks. AI models reward clarity, context, and citation-worthiness. That fundamental difference broke most legacy SEO platforms.
The tools that adapted fastest understood one thing: AI doesn't crawl websites like Googlebot. It synthesizes information, evaluates authority through different signals, and prioritizes content that directly answers complex queries. Your perfectly optimized meta descriptions? Irrelevant. Your keyword density? Meaningless.
What matters now is structured data, semantic relationships, topical authority scores, and something the old tools never measured: citation probability, or how likely a model is to pull you into its answer.
The 9 platforms compared
A scannable view before the detail. Pricing and funding for the non-Goodie tools are the figures I logged during testing; confirm the current numbers before you sign anything, because this category re-prices constantly.
How I evaluated these tools
I looked for four things: coverage of the major AI surfaces, depth of measurement, whether you can actually act on what it finds, and cost-to-impact. I verified pricing and funding from public sources where I could, and I've flagged anything I couldn't.
The platform reviews
1. Goodie AI

A full-stack GEO platform: monitoring across major models, plus an optimization hub that turns insights into content, technical fixes, and partner outreach. The pitch is one system to track, diagnose, and improve AI visibility instead of stitching five tools together.
Pros
- Broad feature set in one place: AI visibility monitoring, optimization hub, content workflows, traffic and attribution, topic exploration. Good if you want fewer vendor handoffs.
- Clear GEO framing and strong educational resources that help non-specialists ramp quickly.
Cons
- Pricing is sales-led and not listed publicly, which slows simple trials.
- It's built to act, not just watch. If you don't have anyone to ship the fixes it surfaces, it's more tool than you need right now.
Funding: No external funding publicly disclosed as of mid-2026. Aggregators classify it as unfunded.
Location: New York, USA
- Explorer at $399/mo, self-serve, with a free trial and a 30-day money-back guarantee
- Pro and Enterprise are quote-based and scale with engines, prompts, seats, and optimization actions
Customers: SteelSeries, Rathbones, Dermalogica, NoGood
My rating: 4.6/5. (I’m slightly biased:) But I like the end-to-end monitor-optimize-measure loop, wide model coverage and robust actions. It earns that by actually reducing tool sprawl.
2. Ahrefs Brand Radar (+ AI add-on)

Brand Radar shows how often your brand is mentioned across AI Overviews, ChatGPT, Perplexity, Gemini and Copilot, plus classic web visibility and demand tracking. The core Brand Radar sits inside Ahrefs plans, AI platform tracking is an optional add-on.
Pros
- Runs on Ahrefs’ massive datasets and mature infrastructure. You get entities, mentions, impressions, market share, and cited domains.
- Easy adoption for teams already living in Ahrefs.
Cons
- AI search data currently updates monthly, which can feel slow for high-velocity categories.
- The AI indices add cost per platform, so tracking several engines adds up.
Funding: Private company. Funding not publicly disclosed on official pages.
Location: Singapore (corporate entity on the pricing page).
Pricing: Ahrefs base from $129/mo, plus AI tracking at $199/mo per index or $699/mo for all six. ~$828/mo for full coverage.
Customers: Used widely across SEO teams; no separate public logo wall for the Brand Radar module yet.
My rating: 4.4/5. Best if you already use Ahrefs and want GEO measurement in a familiar toolkit.
3. Semrush Enterprise AIO + App Center

Semrush Enterprise AIO packages governance, data, and AI-assisted workflows for large orgs, and the App Center fills gaps with specialized apps like Otterly. It’s a pragmatic way to pair enterprise controls with fast-moving GEO features.
Pros
- Enterprise stack with security, team controls and established SEO data.
- App Center gives you a menu of GEO-adjacent apps without adding new vendors.
Cons
- Some Semrush modules focus more on classic SEO than AI answer engines.
- Enterprise pricing is sales-led and varies by contract.
Funding: Public company with a long operating history.
Location: Boston, USA.
Pricing: Quote-based; App Center apps bill separately.
Customers: Enterprise logos appear across Semrush’s enterprise pages, including well-known brands.
My rating: 4.2/5. A safe, scalable foundation for enterprises that want GEO controls plus a curated app layer.
4. Evertune

Evertune analyzes what AI models recommend across thousands of prompts and publishes category leaderboards through its AI Brand Index. It goes beyond measurement with content and visibility improvement guidance.
Pros
- Clear, marketer-friendly scoring across multiple LLMs with heavy sampling per report.
- Competitive benchmarks that are easy to put in front of executives.
Cons
- Usage-based pricing that isn't fully public, so budgeting is less predictable.
- Fewer ecosystem integrations than the older suites.
Funding: $19M total. Series A of $15M led by Felicis Ventures (Aug 2025), following a $4M seed (late 2024) from Eniac and NextView.
Location: New York, USA.
Pricing: Usage-based for custom analyses; details via sales.
Customers: Focus on advertisers and agencies evaluating brand presence.
My rating: 4.1/5. Strong for category benchmarking and briefing decks. Pair it with an executional tool to act on findings.
5. AthenaHQ

Athena tracks prompt-level brand presence and sentiment across ChatGPT, Perplexity, Google AI Overviews and more, then recommends actions. It positions GEO as a standard operating motion for modern marketing teams.
Pros
- Straightforward dashboards for visibility, impersonation monitoring, citation intelligence and outreach.
- Clear pricing tiers and unlimited seats, which is rare in this category.
Cons
- A younger platform than the big SEO suites.
- Credit-based usage takes planning, and the bill moves with your monitoring.
Funding: $2.2M seed announced June 2025.
Location: San Francisco, USA.
Pricing: Self-Serve from ~$295/mo (credit-based); Growth higher; Enterprise custom. No free trial.
Customers: Public logos include Paperless Post, OneSignal, Motion, Render, Checkr and more.
My rating: 4.2/5. Great value and clarity for teams that want to operationalize GEO quickly.
6. Otterly: AI Search Monitoring (via Semrush App Center)

A self-serve monitor for brand visibility, sentiment, rankings, and link citations, sold direct and inside the Semrush App Center, with automated updates. Lightweight tracking without a new vendor.
Pros
- Directly inside Semrush, so procurement and access are simple.
- Useful brand ranking, link tracking and sentiment views, updated automatically.
Cons
- Feature scope is “monitoring first.” You will still need a plan and other tools for content fixes and partnership work.
- Core plan covers four engines; Gemini and Google AI Mode cost extra.
Funding: No external funding disclosed; described as bootstrapped at launch.
Location: Not publicly stated.
Pricing: Lite $29/mo, Standard $189/mo, Premium $489/mo, Enterprise custom. 14-day trial; Gemini and AI Mode cost extra.
Customers: Sold through Semrush to a broad SMB and mid-market base.
My rating: 3.9/5. Ideal if your team already uses Semrush and wants affordable GEO monitoring without a new vendor.
7. Profound

Purpose-built for AI answer engines. It tracks how often you appear in answers, what's said about you, which sources drive those answers, and how AI crawlers see your site. There's a ChatGPT Shopping module too.
Pros
- Deep, AI-specific modules: Answer Engine Insights, Agent Analytics, Conversation Explorer and Shopping.
- Clear attribution: visibility metrics and referrals from AI engines, plus case studies like Ramp.
Cons
- The $99 Starter is deliberately limited (ChatGPT only, ~50 prompts); meaningful coverage starts at Growth.
- The real depth lives in Enterprise, which means a sales process.
Funding: $20M Series A in June 2025 led by Kleiner Perkins with NVIDIA NVentures, Khosla, SPC and SV Angel.
Location: New York, on-site roles in Union Square.
Pricing: Starter $99/mo, Growth $399/mo, Enterprise custom.
Customers: Public customer logos include MongoDB, Indeed, DocuSign, Zapier, Ramp and others.
My rating: 3.9/5. Best-in-class depth for enterprise GEO. If you want serious measurement and activation around AI answers, this belongs on your shortlist.
8. XFunnel

Tracks brand presence across AI engines and pairs it with audits, detection and managed services like Wikipedia strategy or Reddit engagement. A “GEO plus services” approach.
Pros
- Free one-time audit to prove value.
- Strong roster of well-known tech customers that signals traction.
Cons
- Monitoring depth and refresh details are lighter on public pages than pure-play platforms.
- Long-term value often depends on adopting their managed services.
Funding: No external funding disclosed by public trackers.
Location: US ("Xfunnel AI Inc." per privacy policy).
Pricing: Free starter audit and custom enterprise pricing.
Customers: Public logos include Monday.com, Wix, HiBob, Fiverr, MyHeritage, Lemonade and others.
My rating: 3.8/5. Makes sense if you want hands-on help plus a platform, not a tool you must staff yourself.
9. Bluefish

Positions itself as a marketing HQ for the AI era. Focus areas include brand safety, model training controls, and consumer engagement on new AI surfaces. Early but well networked with investors who know the space.
Pros
- Thoughtful thesis around controlling how models present your brand.
- Backed by firms that specialize in data and go-to-market.
Cons
- Quote-based pricing and light public detail.
- Very early product maturity compared to others here.
Funding: Seed-stage, reported ~$3.5M–$5M, investors including Crane Venture Partners, Bloomberg Beta, and Laconia.
Location: New York, USA (per trackers).
Pricing: Sales-led.
Customers: Not publicly listed on pages I can cite; ask for references.
My rating: 3.6/5. If your GEO strategy includes model governance and brand safety, keep an eye on it.
How to choose the right GEO platform for your team
Go all-in-one if you want one system to monitor AI visibility, prescribe actions, and ship content and partnership work. Goodie AI and Athena lean here; Profound offers enterprise depth.
Go measurement-first if you already have content ops and just need rock-solid tracking for executives and planning. Ahrefs’ Brand Radar AI is clean here; Evertune is strong for category benchmarking.
Go enterprise backbone if you need governance and procurement simplicity with a flexible app layer. Semrush Enterprise AIO plus App Center is your friend, and Otterly is a fast add for monitoring.
Add services if you want to outsource parts of GEO such as Wikipedia strategy or Reddit activation while you build muscle in-house. XFunnel lives here.
AEO/SEO notes and what to track in your first 30 days
- Define your AI surfaces
Decide which engines matter by category: B2B often leans ChatGPT and Perplexity, consumer often leans Google AI Overviews, Gemini and Shopping. Start with the two engines that drive revenue for your category. - Baseline weekly
Track share of voice, mentions, and sentiment by engine, plus cited domains. That gives you the “why” behind the ranking. Ahrefs, Profound, Athena and Otterly each expose the sources AIs cite. - Act on levers AI actually uses
Build or update pages that the engines already cite, and fill missing comparison angles. Coordinate PR/digital-PR to place narratives on pages that get cited in AI answers. (Reddit is one of the biggest of those) - Watch the economics
- If you need just monitoring, Otterly Lite or an Ahrefs AI index add-on might be enough.
- If you need enterprise depth, plan for custom quotes from Profound or Semrush Enterprise AIO.
- If you want all-in-one with a clear monthly price, Athena’s Self-Serve or Goodie's Explorer are the straightforward entries.
The tool won't save you. Pick the one that fits your stage, then actually ship what it finds. That last part is where most teams stall. So before you buy anything: where is your brand showing up in AI answers right now? Start there.
