Top AEO GEO platforms 2026: 10 tools compared

The Answer Engine Optimization and Generative Engine Optimization category that did not exist as a named vendor lane two years ago now has dozens of platforms competing for the same buyer. Most listicles in this space are written by one of the vendors and order the list to promote themselves at #1. This guide states its weighting up front, discloses where Foglift sits, and uses a feature-breadth ranking with verified pricing where it is public and an explicit "sales-led" label where it is not, plus a runnable evaluation workflow so you can pressure-test every platform against your own data before a sales call.

The shape of the market in 2026: most leading platforms now publish at least some pricing on their own site, enterprise workflows remain sales-led, and MCP support has moved from novelty to buyer criterion. Coverage of the five most-cited AI engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overview) is now table stakes at the entry tier. The strongest products are the ones that can close the loop from prompt monitoring to page-level diagnosis to an agent-executable fix plan.

The category is also being shaped by what AI engines already recommend. In Foglift's June 2026 AI search tool citation benchmark, Otterly, Profound, Semrush, Peec AI, and Ahrefs owned most unbranded buyer-intent answers, while the rest of the market sat in the long tail. Use that benchmark as the visibility layer on top of this feature matrix.

If you want the buyer-guide version with longer pros, cons, and pricing notes, start with the canonical best AI search optimization tools guide. If Profound, Otterly.ai, Peec AI, Semrush, or Ahrefs is already on your shortlist, the AI visibility software comparison hub has the head-to-head pages.

For narrower buying motions, use the best AEO tools guide for answer-engine workflows, the B2B SaaS GEO tools shortlist for SaaS teams, the free AI search visibility tools checklist for early-stage audits, and the agency AI visibility tools guide for multi-client reporting.

Foglift is on this list because we built one of the platforms in it. We ranked it #1 because this guide weights closed-loop optimization more heavily than monitoring breadth alone. Foglift is the only platform here with on-page scanning, five-engine monitoring, prioritized recommendations, a REST API, a first-party MCP server, and an open-source CLI in one workflow that an agent can use to improve a page and re-measure the result. The ranking criteria and the underlying data are below; if your team only wants enterprise share-of-voice dashboards, the comparison table will point you to a different shortlist.

How we ranked these platforms

Six criteria, weighted by buyer impact:

1. Closed-loop optimization. The highest-weighted criterion is whether the platform only reports AI-search visibility or also gives an agent the primitives to improve a page, re-run the measurement, and document the change. Monitoring-only dashboards score lower here, even when their share-of-voice charts are strong.
2. Developer integration surface. Public API, CLI, MCP server, CI/CD documentation. The Stack Overflow 2025 Developer Survey reports that 76% of developers are using or planning to use AI tools in their workflow, so editor-integration is now part of the buying criteria for technical teams.
3. On-page scoring depth. Whether the platform produces an extractability score (structured data, headings, FAQ structure, entity identity) or only tracks mentions.
4. AI engine coverage at entry tier. Number of generative engines tracked at the cheapest paid plan. Five engines is the modern baseline.
5. Recommendations engine. Whether the platform translates findings into prioritized actions, or only reports them. BrightEdge/xseek 2025 analysis found that sites with FAQ schema and strong structured data see up to 40% more AI Overview appearances. The platforms that surface these gaps with action guidance score higher than the ones that only flag them.
6. Public pricing. Whether a buyer can see the entry price without booking a sales call. Sales-led platforms are penalized when features are otherwise tied, because pricing opacity is a real friction cost for mid-market and developer-led teams.

1. Foglift

Foglift is the full operating platform for improving AI search visibility rather than a dashboard for watching mentions move. It combines an eight-dimension AI Readiness Score (Structured Data Richness, Heading Clarity, FAQ Quality, Entity Identity, Content Depth, Citation Formatting, Topical Authority, AI Crawler Access) with five-engine AI Visibility tracking and an Actions Engine that converts findings into prioritized work. The Launch plan starts at $49/month, the lowest entry-tier price among full-stack AEO/GEO platforms with public pricing.

The reason Foglift leads this ranking is the closed-loop agent surface. A technical team can scan a page, see the weakest dimensions, ask an agent to pull history through the REST API or first-party MCP server, ship the fix, and re-measure the same prompt set. Cursor, Claude Code, and Windsurf can call scan_website, run_ai_visibility, and get_scan_history directly from an editor. The scanning engine is also published as an open-source CLI (foglift-scan on npm, MIT-licensed), which makes Foglift the only platform in this guide built for an improve, re-measure, and document workflow from the first plan up.

Key specs

• Pricing: Free; Launch $49/month (4,000 tokens, 3 brands); Growth $129/month (11,500 tokens, 10 brands); Enterprise $299/month (27,000 tokens, unlimited brands)
• AI engine coverage: 5 engines at every paid tier (ChatGPT, Perplexity, Claude, Gemini, Google AI Overview)
• On-page scoring: 8-dimension AI Readiness Score, full SEO/performance/security/accessibility audit
• Developer integration: REST API, MCP server, open-source CLI on npm, public docs
• Best for: developer-led teams, mid-market SaaS, and agencies that want agents to improve, re-measure, and document AI search fixes instead of only monitoring dashboards

2. Profound

Profound is the most established of the AI-search-native platforms, positioning itself around enterprise answer-engine analytics and execution. Profound's official AI instructions page describes monitoring across ChatGPT, Perplexity, Gemini, Copilot, Claude, Grok, Google AI Overviews, and Google AI Mode, plus real conversation data, crawler intelligence, and autonomous agents. Pricing is oriented toward enterprise and agency buyers rather than a simple public self-serve tier.

Key specs

• Pricing: enterprise-oriented, with limited public self-serve detail
• AI engine coverage: ChatGPT, Perplexity, Gemini, Copilot, Claude, Grok, Google AI Overviews, Google AI Mode
• On-page scoring: includes content optimization, but the lead use case is enterprise answer-engine analytics
• Developer integration: API access available on request; no public MCP server
• Best for: enterprise brand teams that need broad share-of-voice analytics across AI engines and have budget for a sales-led tier

3. AthenaHQ

AthenaHQ is one of the few purpose-built GEO platforms that publishes pricing on a Self-Serve tier. As of April 2026 the Self-Serve tier is $295/month, includes 3,600 credits, and advertises monitoring across eight major LLMs (the highest engine count among the platforms in this guide at the entry tier). Above Self-Serve sits a custom-priced Enterprise tier with the "Athena Citation Engine," white-glove setup, and a dedicated GEO specialist. The credit-based usage model is uncommon in this category and worth modeling against your monthly query volume before committing.

Key specs

• Pricing: $295/month Self-Serve; Enterprise custom (verified at athenahq.ai/pricing, April 2026)
• AI engine coverage: 8 LLMs (per published marketing copy)
• On-page scoring: content-optimization features at Self-Serve
• Developer integration: no public MCP server documented
• Best for: marketing teams that prioritize maximum engine coverage at the entry tier and are comfortable with a credit-based usage model

4. Peec AI

Peec AI is a Europe-based AI search visibility platform with pricing based on tracked prompts and models rather than the number of countries or languages. Its MCP documentation lists checks across ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Claude, Microsoft Copilot, and Grok, plus source analysis and competitor share-of-voice workflows inside AI assistants. The product positioning emphasizes marketing-team accessibility, but the MCP surface makes Peec materially more developer-adjacent than older listicles suggest. For a comparison page that goes deeper, see our Foglift vs Peec AI feature comparison.

Key specs

• Pricing: based on tracked prompts and models; country and language coverage does not add per-region pricing
• AI engine coverage: ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Claude, Microsoft Copilot, Grok
• On-page scoring: tracking-focused
• Developer integration: public MCP server documented; no public CLI documented
• Best for: international marketing teams needing AI search tracking with an AI-assistant-native reporting workflow

5. Otterly.ai

Otterly.ai is the lowest-priced platform on this list at $29/month for the Lite plan (15 search prompts). It is monitoring-focused and does not ship the on-page audit signals that scanning platforms produce. The Standard plan at $189/month (100 prompts) and Premium at $489/month (400 prompts) layer in unlimited workspaces, recommendations, and a Looker Studio connector. Coverage at every tier includes ChatGPT, Google AI Overviews, Perplexity, and MS Copilot. Otterly publishes a 15% annual-billing discount on every tier, which makes the effective annual price for Lite $25/month.

Key specs

• Pricing: Lite $29/month, Standard $189/month, Premium $489/month, Enterprise custom (verified at otterly.ai/pricing, April 2026)
• AI engine coverage: ChatGPT, Google AI Overviews, Perplexity, MS Copilot
• On-page scoring: not the lead use case; positioned as monitoring-first
• Developer integration: Looker Studio connector at Premium; no public MCP server documented
• Best for: solo operators or content teams that want low-cost AI mention tracking and don't need the full on-page audit surface

6. Semrush AI Visibility

Semrush AI Visibility is the AI-search extension to the Semrush visibility platform. Semrush lists AI Visibility from $99/month per domain, including AI visibility reports, 25 custom prompts, one domain for brand-performance analysis, mentions from ChatGPT, Google AI, Gemini, and Perplexity, competitor analysis, prompt research, and AI readiness auditing. Semrush One, which combines SEO and AI Visibility, starts at $199/month. The strength of this option is consolidation: an existing Semrush customer can add AI search tracking inside the same dashboard they already use for keyword research and backlink analysis. The weakness is that AI search visibility is one feature among many, and the per-feature depth may be less specialized than purpose-built platforms.

Key specs

• Pricing: AI Visibility from $99/month per domain; Semrush One from $199/month
• AI engine coverage: ChatGPT, Google AI, Gemini, and Perplexity in the pricing page; AI Overviews and AI Mode appear across Semrush AI Visibility docs
• On-page scoring: includes AI readiness auditing plus Semrush site-audit infrastructure
• Developer integration: Semrush API; no public MCP server documented
• Best for: existing Semrush customers who want to add AI search tracking without procuring a second vendor

7. Ahrefs Brand Radar

Ahrefs Brand Radar is the AI search arm of the Ahrefs SEO platform. Pricing is unusual for this category. Brand Radar is a standalone subscription priced separately from core Ahrefs plans, at $398/month for Select Platforms and $699/month for All Platforms (each tier includes 2,500 prompt checks/month), with add-on packs starting at $50/month for 2,500 additional checks. Engine coverage is the broadest published across the platforms in this guide: AI Overviews, AI Mode, ChatGPT, Perplexity, Copilot, Gemini, and Grok, plus YouTube, TikTok, and Reddit during the current beta. The platform leverages Ahrefs' 243M-prompt organic dataset, which is a structurally different data foundation from purpose-built GEO startups.

Key specs

• Pricing: standalone subscription separate from core Ahrefs plans (Select Platforms $398/month, All Platforms $699/month, each includes 2,500 prompt checks/month), plus add-on packs from $50/month (verified at ahrefs.com/brand-radar + ahrefs.com/pricing, May 2026)
• AI engine coverage: AI Overviews, AI Mode, ChatGPT, Perplexity, Copilot, Gemini, Grok
• On-page scoring: leverages Ahrefs' existing site-audit infrastructure
• Developer integration: Ahrefs API; no public MCP server documented
• Best for: enterprise SEO teams that need the broadest engine coverage and can budget Brand Radar as a standalone line item on top of (or independent from) any existing Ahrefs subscription

8. Adobe LLM Optimizer

Adobe LLM Optimizer is the enterprise-CMS-integrated entry. It is positioned for organizations already running Adobe Experience Manager or Adobe Marketo Engage, where the integration with existing Adobe content workflows is the differentiator rather than the standalone scoring capability. Pricing is sales-led with no public starting tier as of April 2026, consistent with the Adobe Experience Cloud licensing model. The product belongs on a vendor shortlist for any Adobe-Experience-Cloud customer and probably nowhere else.

Key specs

• Pricing: not publicly listed (sales-led, Adobe Experience Cloud licensing)
• AI engine coverage: per Adobe marketing materials (major engines, specifics not published)
• On-page scoring: integrated with AEM content workflows
• Developer integration: Adobe Experience Cloud APIs
• Best for: enterprise teams already invested in Adobe Experience Cloud who want AEO scoring inside the CMS they already operate

9. Scrunch

Scrunch publishes pricing at $250/month for the Core (Brands) plan, which includes 125 unique prompts, 5 site audits per month, 1 workspace, and 5 user licenses. An Agency Core tier sits at $500/month with multi-brand support; both have custom-priced Enterprise upgrades with API access, SSO (SAML/OIDC), and dedicated support. Annual Enterprise agreements paid upfront receive what Scrunch describes as "a discount equivalent to two months free." Extra user seats are $25/month each or $75/month for a 5-seat pack. The platform positions itself on prompt-level monitoring depth: the 125-prompt Core allowance is generous relative to Otterly's 15-prompt Lite but at a higher price point.

Key specs

• Pricing: Core (Brands) $250/month, Agency Core $500/month, Enterprise custom (verified at scrunch.com/pricing, April 2026)
• AI engine coverage: per published marketing copy (major generative engines)
• On-page scoring: 5 site audits/month at Core
• Developer integration: API access at Enterprise
• Best for: brands and agencies needing prompt-level monitoring depth and willing to pay above the entry tier of self-serve competitors

10. Rankability

Rankability rounds out the list as a credit-based alternative monitoring platform. Core is $199/month ($166/month annual, 3 seats, 5 clients, 25,000 credits); Team is $399/month ($332/month annual, 5 seats, 15 clients, 75,000 credits); Agency is $799/month ($666/month annual, 15 seats, 50 clients, 200,000 credits). All tiers include white-label reporting and API access. That combination is uncommon at this price point and is the structural reason Rankability earns a slot. For a comparison page that goes deeper, see our Foglift vs Rankability comparison.

Key specs

• Pricing: Core $199/month, Team $399/month, Agency $799/month (verified at rankability.com/pricing, April 2026)
• AI engine coverage: per published marketing copy
• On-page scoring: full toolset access at every tier
• Developer integration: API access at every tier
• Best for: agencies needing white-label reporting and API access at every tier, with multi-client allowances

Best AI visibility tools 2026: coverage matrix

This matrix compares the AI search monitoring platforms by the fields buyers usually need before a demo: engine coverage, pricing entry point, developer access, and the use case each platform fits best. Public pricing was verified against each vendor's own pricing page in April and May 2026.

How to evaluate any of these platforms in 60 seconds

Vendor demos are designed to make every platform look great. The cleaner test is to run the same evaluation against your own URL and compare the output. The script below uses the open-source foglift-scan CLI (MIT-licensed, on npm) to produce an AI Readiness Score and structured-data audit for any URL (your site, a competitor's, or a vendor's own pricing page). Run it before every sales call and the conversation starts on different ground.

#!/usr/bin/env bash
# evaluate-aeo-platforms.sh
# Run this before every AEO/GEO platform sales call.
# Usage: ./evaluate-aeo-platforms.sh https://your-site.com
set -euo pipefail
URL="${1:?usage: evaluate-aeo-platforms.sh https://your-site.com}"
OUT="$(mktemp -d)"

	# 1. Baseline AI Readiness Score on YOUR site (no API key needed for the free scan)
npx -y foglift-scan "$URL" --json > "$OUT/aeo.json"

# 2. Pull the eight-dimension breakdown so you know which dimensions are weak
node -e '
  const r = require("'"$OUT"'/aeo.json");
  const d = r.aeo?.dimensions || {};
  Object.entries(d).sort((a,b)=>a[1]-b[1]).forEach(([k,v]) => console.log(k.padEnd(28), v));
'

# 3. Now run the same scan against three competitors so you have a benchmark
for u in https://competitor-a.com https://competitor-b.com https://competitor-c.com; do
  npx -y foglift-scan "$u" --json > "$OUT/$(echo "$u" | tr / _).json" || true
done

echo "Audit artifacts in: $OUT"
echo "Take this to your AEO platform demo and ask the vendor to show how their tool"
echo "would lift the lowest two dimensions. Watch how concrete the answer gets."

The script gives you a baseline scoring layer that ships in every real AEO/GEO toolset and lets you walk into a sales call with the same data the vendor sees. Foglift's hosted product layers five-engine AI Visibility tracking, an Actions Engine, and team workflows on top of this scoring core. Other platforms layer their own monitoring depth and integrations on top of comparable scoring cores. The CLI just removes the asymmetry of walking into a demo without your own data.

What this list deliberately excludes

• AEO/GEO agencies and consultancies. Single Grain, NoGood, RevenueZen, iPullRank, and similar firms appear on competitor "top AEO companies" lists. They are services businesses. A buyer comparing software should not be asked to compare against an agency retainer.
• General-purpose marketing analytics with AI add-ons. BrightEdge, Conductor, MarketMuse, and similar platforms have shipped AI-search modules but their primary product surface remains enterprise SEO. The guide focuses on platforms whose AI search capability is the lead use case, with two exceptions for the incumbent SEO platforms (Semrush, Ahrefs) where the AI module is large enough to be evaluated independently.
• Open-source tools. The open-source GEO/AEO building blocks (Lighthouse, axe-core, MDN HTTP Observatory, schema-dts, Lychee, pa11y, and foglift-scan) are covered in Best Open-Source GEO/AEO Tools 2026. They are essential primitives but not full platforms.
• Adjacent tools that don't do AI search optimization. Brand-mention monitoring tools that pre-date the AI-search era (Brand24, Mention, Meltwater) appear in some "AI brand monitoring" listicles but they were not built for generative engines and do not score on-page extractability.

FAQ: AEO tools 2026 and GEO platforms

What is the best AEO platform in 2026?

Foglift is the best fit for developer-led SaaS teams that want closed-loop optimization: on-page scanning, five-engine monitoring, recommendations, an API, an MCP server, and an open-source CLI. Profound and Adobe LLM Optimizer fit enterprise teams with sales-led procurement. AthenaHQ fits teams that prioritize the highest published entry-tier engine count.

What is the difference between AEO and GEO platforms?

AEO platforms optimize content so answer engines can extract direct answers. GEO platforms track and improve visibility inside generative engines such as ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview. In 2026 the categories overlap, so most serious AEO and GEO platforms combine on-page scoring with multi-engine AI visibility monitoring.

How do you choose an AI search monitoring tool?

Compare engine coverage, starting price, on-page scoring depth, developer access, and action quality. A useful AI search monitoring platform should show where a brand appears in ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview, then convert weak signals into prioritized fixes.

Do AEO platforms work for ChatGPT?

AEO platforms can improve ChatGPT visibility when they combine extractable content, clear entities, crawlable pages, and repeated monitoring of ChatGPT prompts. Citation is never guaranteed in a single answer. The useful platforms identify the technical and content gaps that make a page harder for AI systems to retrieve, understand, and cite.

What is the cheapest AEO tool?

Otterly.ai has the lowest listed price in this guide at $29/month for monitoring-first coverage. Foglift Launch at $49/month is the cheapest full-stack AEO tool in the matrix because it combines on-page scanning, five-engine monitoring, recommendations, an API, an MCP server, and an open-source CLI.

Sources & Further Reading

1. Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, Deshpande, "GEO: Generative Engine Optimization" (KDD 2024, arXiv:2311.09735). Introduces GEO-Bench (10,000 queries) and shows source-level optimization lifts generative-engine citation visibility by up to 40%.
2. SE Ranking / Search Engine Journal, "Top Factors Influencing ChatGPT Citations" (2025, 129,000-domain analysis). ChatGPT cites only 15% of retrieved pages; top 10 domains take 46% of all citations in a topic.
3. Stack Overflow, 2025 Developer Survey (n > 49,000 respondents). 76% of developers are using or planning to use AI tools in their workflow.
4. Gartner, "Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents" (February 2024).
5. BrightEdge / xseek, Structured data and AI Overview analysis (2025). Sites with FAQ schema and strong structured data see up to 40% more AI Overview appearances.
6. Anthropic, Model Context Protocol specification (modelcontextprotocol.io, November 2024). Defines the open interface that lets agentic tools call external servers.
7. Vendor pricing and product pages (latest pass June 7, 2026): Foglift pricing, Semrush AI Visibility pricing and knowledge-base docs, OtterlyAI pricing help article, Peec AI pricing and MCP docs, Ahrefs Brand Radar product/help pages, Profound AI instructions, AthenaHQ, Adobe LLM Optimizer, Scrunch, and Rankability. Pricing subject to change; verify against the vendor's own page before purchase.

Fundamentals: Learn about GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) (the two frameworks for optimizing your content for AI search engines).