Best GEO Tools 2026: The Top 14 for AI Visibility
Buy one tool per job, not nine. To earn AI mentions: MentionAgent (agentic outreach, $99/mo). To track what the engines say: Profound, Otterly or Athena. To monitor brand sentiment inside AI: Brand24 or Mention. Whichever you pick, demand a per-engine breakdown and read it monthly, not weekly.
Why per-engine and why monthly: in our citation study, 80.6% of cited sites were named by only one of three engines, and about half the sources change between runs on their own. Our free AI Mention Checker is a fair first read, but it infers from training-data signals and never queries an engine.
The GEO tooling category in 2026 splits into four shapes. Most teams need one tool per shape, not nine.
This list orders the tools by shape and flags which to pick at each team size. The goal: a stack that moves AI visibility, not one that just measures it.
It also does something the other roundups do not. We run an AI visibility scanner for our own customers, so we have a log of what the engines actually cite. We pulled 27,854 citations from ChatGPT, Gemini and Claude answering the same 374 buyer questions and published the result as the AI Citation Study. Three of those findings decide whether a GEO tool is worth paying for, so they come first.
Three numbers to judge any GEO tool by
| What we measured | Result | What it means for buying a tool |
|---|---|---|
| Share of cited domains seen by only one of the three engines | 80.6% | One engine is not a proxy for the others. A single blended "AI visibility score" hides more than it shows. Demand a per-engine breakdown. |
| Share of cited sources that change when the same question is re-asked later | 46% to 55% | Roughly half the movement in any weekly AI rank chart is the engine reshuffling, not your content. Read these tools monthly. |
| Share of cited domains outside the Majestic Million top 50,000 | 84.1% | You do not need an authority score before AI will cite you. Tools that gate their advice on DR are solving the wrong problem. |
The practical version: a tool earns its price by telling you which engine, on what timescale, and what to do next. Most of the category is strong on the first half and silent on the second. Full method and the rest of the findings are in the study.
The four shapes of GEO tool
| Shape | What it does | When you need it |
|---|---|---|
| Monitoring | Tracks what AI assistants currently say about your brand | From day one. Free tools work fine until you scale. |
| Prompt rank tracking | Tracks your position across thousands of prompts in ChatGPT, Claude, Gemini, Perplexity, Copilot, and the rest | Once you have a budget for a dedicated GEO function |
| Placement (agentic outreach) | Earns the editorial mentions AI engines pull from | From day one if you want to actually move the needle |
| Analytics | Measures AI-driven traffic to your site | Once AI-referred traffic is meaningful in your analytics |
The tools below are organized by shape. Monitoring shows you the score; placement changes the score. Most teams over-invest in monitoring and skip placement. The ROI is reversed.
Which GEO tool category has the highest ROI for most teams?
Right. Placement tools change the score. Monitoring tools just show it. Most teams over-invest in dashboards and skip the engine that actually earns mentions.
Placement tools (agentic outreach) win on ROI. They earn the editorial mentions AI engines retrieve from. Monitoring shows you where you stand without changing it. Custom GPT directories are not GEO tools.
Placement tools (the engine that actually moves AI visibility)
1. MentionAgent
Best for: B2B SaaS founders and solo operators who want AI visibility on autopilot.
What it does: Agentic outreach. The agent finds the niche blogs your buyers and AI engines both read, looks up the right contact, writes a contextual mention pitch, follows up until reply. You approve emails before send via Telegram or web.
Why it fits GEO: Every contextual mention earned does double duty. It's an SEO backlink and a training-data signal that AI engines retrieve when buyers ask about your category.
Pricing: $99/mo flat. No campaigns to configure, no contact-credit math.
2. Metaflow
Best for: B2B teams that need to act on GEO insights, not just measure them.
What it does: No-code AI agent workspace. Build workflows that react to AI visibility drops, trigger content updates, sync findings to Notion or Sheets, and hand off to outreach when a placement target is identified.
Why it fits GEO: Monitoring shows the gap; MentionAgent earns the mention; Metaflow connects the two. It automates the playbook between "we're invisible in ChatGPT" and "pitch sent."
Pricing: From $19/mo.
3. Respona
Best for: Teams that want a 450M-contact database and run multiple outreach campaign types in parallel.
What it does: AI-assisted link building platform with built-in contact database. You configure campaigns; the AI personalizes pitches per prospect.
Why it fits GEO: Outreach to niche blogs is the foundation of training-data presence. Respona's database breadth helps when your category spans many sub-niches.
Pricing: Tiered subscription with credit-based scaling. Check vendor for current pricing.
4. Pitchbox
Best for: Agencies and large in-house teams running 1000+ pitches per month.
What it does: Enterprise outreach platform with deep workflow customization, multi-user support, and tight SEO-tool integrations.
Why it fits GEO: Same logic as Respona at greater scale. Volume of editorial mentions translates directly to AI training-data presence over time.
Pricing: Custom, enterprise tier. Contact vendor for a quote.
Monitoring tools (see what AI says about you)
5. AI Mention Checker (free)
Best for: Anyone wanting a 30-second snapshot of where they stand.
What it does: Audits your brand's visibility across AI training data signals. Shows whether ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Meta AI, and DeepSeek are likely to know your product, and where the gaps are.
Why it fits GEO: Free starting point. Tells you what you actually need to fix before you spend on enterprise tooling.
Pricing: Free, no signup.
6. Brand24
Best for: Brands tracking sentiment and volume of mentions across the web, including some AI surfaces.
What it does: Web mention monitoring with AI-surface tracking. Alerts when your brand is named in articles, social, and AI-generated content where the source is detectable.
Why it fits GEO: Catches new mentions that strengthen your training-data signal, plus identifies negative or wrong mentions that need correcting.
Pricing: Tiered subscription. Check vendor for current pricing.
7. Mention
Best for: Teams that want a single dashboard for social, web, and emerging AI mentions.
What it does: Real-time monitoring across web sources. Newer tiers add AI-surface coverage.
Why it fits GEO: Same as Brand24. Useful as the early-warning system, not as the engine that moves the score.
Pricing: Tiered subscription. Check vendor for current pricing.
Prompt rank trackers (track your position inside AI answers)
Read this section with the turnover number in hand. When we re-asked the same engine the same question on a later date, 46% to 55% of the sources it cited were ones it had not cited before, with nothing changed on the sites in between. Every tool below is measuring something that moves on its own.
That does not make them useless, but it does set the rules for using one. Compare months, not weeks. Treat a single scan as one sample rather than a reading. And before you sign, ask two questions: which engines does it cover, and can it show them separately? Given that 80.6% of cited domains are seen by a single engine, a tool that blends five engines into one number is averaging away the only detail you can act on.
8. Profound
Best for: Mid-market and enterprise GEO teams.
What it does: Tracks how often your brand is named across thousands of prompts in ChatGPT, Claude, Gemini, Perplexity, Copilot, and other major LLMs. Shows competitive share-of-voice and prompt-level position.
Why it fits GEO: The closest equivalent to a SERP rank tracker, but for AI answers. Useful once you have specific buyer queries you're trying to win.
Pricing: Custom, enterprise-leaning.
9. Otterly
Best for: Smaller teams that want prompt tracking without enterprise pricing.
What it does: Monitors brand mentions across AI engines for a defined prompt set. Lighter than Profound, easier setup.
Why it fits GEO: Good fit for a SaaS marketer who wants to see whether last month's content investment moved the needle in AI answers.
Pricing: Tiered subscription. Check vendor for current pricing.
10. Athena
Best for: Operators who want LLM mention tracking plus competitive analysis in one tool.
What it does: Tracks brand presence across AI engines, surfaces competitor mentions, and flags emerging buyer questions in your category.
Why it fits GEO: The competitive-mention surface is genuinely useful. Tells you which competitors are pulling ahead in AI answers and where the gap originates.
Pricing: Tiered subscription. Check vendor for current pricing.
11. Bluefish AI
Best for: Enterprise GEO teams that need source-level citation analysis.
What it does: Tracks not just whether your brand is mentioned but the specific URLs the model cites when it generates an answer for your category. Most actionable diagnostic in the tracker category.
Why it fits GEO: Source-level URL data maps directly to placement targets. The natural pairing with an outreach engine that pitches mentions on those exact URLs.
Pricing: Tiered subscription, enterprise-leaning. Check vendor for current pricing.
12. Peec AI
Best for: Teams selling into European or non-English markets.
What it does: AI search analytics with strong multi-language coverage. Tracks brand mentions across major LLMs in markets several U.S.-built trackers handle thinly.
Why it fits GEO: If your buyers ask AI engines questions in German, French, Spanish, or other non-English languages, Peec's coverage is deeper than U.S.-only tools.
Pricing: Tiered subscription. Check vendor for current pricing.
13. Goodie
Best for: Brand teams wanting AI brand monitoring with marketing-friendly UX.
What it does: Tracks AI brand mentions with shareable reports, marketing-language dashboards, and integrations with social and PR tools.
Why it fits GEO: Built for non-technical stakeholders who need a tracker that matches existing brand-team workflows. Less diagnostic depth than Athena or Bluefish AI; more accessible to marketing readers.
Pricing: Tiered subscription. Check vendor for current pricing.
14. Scrunch
Best for: Teams wanting tracking bundled with on-page content optimization.
What it does: AI search optimization platform combining tracking with content recommendations for your own pages. Broader than pure trackers; still doesn't earn third-party mentions.
Why it fits GEO: On-page optimization helps retrieval-layer citations of your pages. The off-page mention layer (where most AI mentions actually come from) requires a separate placement engine.
Pricing: Tiered subscription. Check vendor for current pricing.
Engine coverage, side by side
Given that 80.6% of cited domains are seen by a single engine, coverage is the first thing to check and the hardest to find. So we checked it: the table below is the engines each vendor names on its own site, read on 22 August 2026.
Two warnings about how to read it. These are vendor claims, not our tests. We did not verify that each tool returns usable data for every engine it lists, and naming an engine is not the same as reporting it separately, which is the thing that actually matters. And a longer list is not automatically better. Coverage of the engine your buyers use beats coverage of ten they do not.
| Tool | Engines named on its own site | Count |
|---|---|---|
| Goodie | ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Meta AI, DeepSeek, Google AI Overviews / AI Mode, Amazon Rufus | 10 |
| Profound | ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, DeepSeek, Google AI Overviews | 8 |
| Athena | ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Google AI Overviews, AI Mode | 8 |
| Brand24 | ChatGPT, Claude, Gemini, Perplexity, DeepSeek, ChatGPT Search, Perplexity Search. Grok, Copilot, AI Mode and AI Overviews come via its Chatbeat data partner rather than directly. | 7 direct |
| Otterly | ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews, Google AI Mode | 7 |
| Scrunch | ChatGPT, Claude, Gemini, Perplexity, Copilot | 5 |
| Peec AI | ChatGPT, Gemini, Perplexity, Google AI Mode | 4 |
| MentionAgent (AI visibility scan, paid plans) | ChatGPT, Gemini, Claude | 3 |
| Bluefish AI | None named. The site refers to "AI channels" and "AI models" without listing them. | Not stated |
| Mention | None named on its main pages. | Not stated |
| AI Mention Checker (our free tool) | None. It queries no AI engine at all. See below. | 0 |
Our own free tool does not query any engine, and neither do some others
We should be straight about this, because the same gap is present elsewhere in the category and it is easy to miss. Our free AI Mention Checker does not ask ChatGPT, Gemini or anything else about your brand. It checks four public signals that correlate with being in training data: a Wikipedia article, Open PageRank, Hacker News story count, and GitHub repository count. That is a useful estimate of whether an engine is likely to know you, and it is free and instant. It is not a measurement of what any engine actually says.
If you want an actual answer from the engines, it has to come from something that queries them. MentionAgent's paid AI visibility scan does that across ChatGPT, Gemini and Claude, and so do the tracking tools in the table above. The general lesson: before paying, ask whether the tool queries the engine or infers from proxies. Both are legitimate, they cost very different amounts, and the marketing rarely distinguishes them.
Head-to-head comparisons
Picking between two specific trackers? These comparisons go deeper on the trade-offs.
Profound vs Otterly
Enterprise vs SMB
Profound vs Athena
Scale vs competitive depth
Otterly vs Athena
Entry tier vs mid-market
Bluefish AI vs Profound
URL depth vs share-of-voice
Athena vs Goodie
Operator vs marketing UX
Athena vs Bluefish AI
Diagnostic-depth duel
Otterly vs Peec AI
English vs multi-language
Profound vs Goodie
Enterprise vs brand UX
The stack we'd actually run (by team size)
| Team | Monitoring | Tracking | Placement | Spend tier |
|---|---|---|---|---|
| Solo founder | AI Mention Checker (free, proxy signals) | Skip until traction | MentionAgent ($99/mo) + Metaflow (from $19/mo) | Low |
| 2-5 person SaaS team | AI Mention Checker + Otterly | Otterly doubles as tracker | MentionAgent ($99/mo) | Low |
| SMB marketing team | Brand24 | Otterly or Athena | MentionAgent + Respona | Mid |
| Enterprise / agency | Brand24 or enterprise vendor | Profound | Pitchbox + Respona | Enterprise |
See where you stand in 30 seconds
The free AI Mention Checker is the simplest first step. Run it before deciding which paid tool fits.
Run the AI Mention CheckerWhat to skip
- "AI SEO" link packages. Repackaged low-quality backlinks. Don't move AI training data, get downweighted by Bing, and risk a penalty.
- Custom GPT directories as a visibility play. Custom GPTs are useful products; they don't influence general ChatGPT recommendations.
- Generic content spinners that promise "AI-optimized" output. Quotability beats word count. A spun 3000-word page loses to a 600-word direct-answer page.
- Enterprise rank trackers before you have rank to track. Without baseline AI presence, you're paying enterprise pricing to watch zeros.
- Any single blended "AI visibility score". 80.6% of the domains we saw cited were cited by one engine and no other. A number that averages ChatGPT, Gemini, Claude and Perplexity together is averaging away the thing you would act on. Insist on per-engine, or treat the score as decoration.
- Weekly AI rank charts, and the decisions made from them. About half the sources turn over between two runs of the same question on their own. A week-on-week dip is not evidence your content lost, and a week-on-week rise is not evidence it won. This is the most expensive mistake in the category because it drives real content spend.
- Advice that gates AI visibility on domain authority. 84.1% of cited domains sit outside the top 50,000 sites on the web. Building DR first is not the prerequisite it is sold as.
How to pick in 30 seconds
Decision tree
- No AI mentions yet, no budget? → AI Mention Checker + MentionAgent. That's the floor and ceiling for the first 90 days.
- Some mentions, want to track and grow? → Add Otterly or Athena for prompt tracking, keep MentionAgent for placements.
- Marketing team with budget? → Brand24 + Otterly + MentionAgent + Respona. Quad-stack across all four shapes.
- Agency or enterprise? → Profound + Pitchbox + Brand24 + custom integrations. The dedicated stack.
Then, whichever branch you landed on
- Ask the vendor which engines it covers, and whether it reports them separately. If the answer is one blended score, discount the tool.
- Set the reporting cadence to monthly before anyone gets used to a weekly chart.
- Pick the engine your buyers actually use and weight it. Gemini cites the most sources per answer, so it is the easiest of the three to appear in; Claude cites the fewest.
How GEO tools connect to link building
The single thread tying every shape together is editorial mentions. Monitoring measures them, tracking grades them, placement earns them. Without the placement engine running, the rest of the stack is observability without action. Agentic outreach is the cleanest way to build that engine without hiring an outreach specialist. See Best AI Link Building Tools for the full placement-tool comparison.
Skip the assembly. Get to results.
MentionAgent finds, pitches, and follows up on the contextual mentions that move AI visibility. $99/mo flat.
Start Getting Mentioned On AutopilotFrequently asked questions
What is a GEO tool?
A tool that helps you measure or move your visibility inside AI assistants. The category splits into four shapes: monitoring, prompt rank tracking, placement (agentic outreach), and analytics.
What's the highest-ROI category?
Placement tools that earn editorial mentions on third-party blogs. Monitoring tells you where you stand; placement changes where you stand. Most teams over-invest in monitoring.
Do I need a dedicated GEO tool if I have an SEO stack?
Add one monitoring tool to see what AI says about you, and one placement engine to earn the mentions that move citations. Everything else you can run from your existing SEO stack.
Are these tools worth it for small teams?
Yes, but pick one tool per job. A founder needs a free monitoring tool plus an agentic outreach tool. Skip enterprise dashboards until you have someone whose full-time job is GEO.
Do GEO tools replace SEO tools?
No. Most teams should run them side by side. SEO tools cover the foundations (rank, technical, keywords); GEO tools cover the AI-answer layer. See GEO vs SEO.
What's the cheapest viable GEO stack?
Free AI Mention Checker for monitoring plus MentionAgent for placement. $99/mo total. That's the working floor for a B2B SaaS founder.
Should I buy a GEO tool before I have any AI traffic?
Skip paid prompt trackers, but a free monitoring tool plus a placement engine make sense from day one. The placement engine creates the AI presence; the free monitor confirms it's landing. Paid trackers only earn their keep once you have rank to track.
Can I get away with just the free AI Mention Checker?
Partly. The free AI Mention Checker estimates whether AI engines are likely to know your product, from four public signals: a Wikipedia article, Open PageRank, Hacker News mentions and GitHub repositories. It does not query the engines, so it cannot tell you what they currently say about you. For that you need a tool that asks them directly. Either way, measuring alone won't move the score. Pair it with a placement engine (agentic outreach) so you're earning the mentions, not just counting the deficit.
Which engines should I track first?
Start with the engine your buyers actually use. For most B2B SaaS that means ChatGPT and Claude for training-layer presence, plus Perplexity, ChatGPT Search, and Google AI Overviews for retrieval-layer wins. Add Copilot for Microsoft-shop B2B, Meta AI for consumer brands, Grok for real-time, and DeepSeek for developer tools.
Track them separately, and do not treat one as a stand-in for the rest. In our citation study, 80.6% of cited domains were cited by only one of the three engines we measured, and just 5.2% by all three.
How often should a GEO tool report?
Monthly. When we re-asked the same engine the same question on a later date, 46% to 55% of the sources it cited were new, with nothing changed on those sites in between. A weekly reading is dominated by that variance, so a dip is not proof your content lost and a rise is not proof it won. Compare months and read each engine on its own.