10 Best Enterprise AEO Platforms: Pricing & APIs (2026)

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 across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview is one comparison axis rather than a universal entry-tier baseline. The strongest products are the ones that can close the loop from prompt monitoring to page-level diagnosis to an agent-executable fix plan.

Foglift's June 2026 AI search tool citation benchmark found that the source set changes materially by engine. A single-engine tracker can miss the pages and claims shaping recommendations elsewhere. Foglift addresses that gap with five-engine monitoring, citation history, Technical Audits, prioritized recommendations, and developer workflows.

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 Technical Audits, five-engine AI Visibility 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. AI Readiness 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. Broader entry-tier coverage scores higher, and coverage of ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview earns the maximum score for this criterion. It is one weighted signal rather than a universal eligibility requirement.
5. Recommendations engine. Whether the platform translates findings into prioritized actions, or only reports them. Platforms that identify a weak page, name the evidence, and define a re-measurement step score higher than dashboards that stop at the visibility chart.
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 run a Technical Audit, see the weakest AI Readiness 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). Together, those surfaces let Foglift customers improve a page, re-measure the same prompt set, and document the result from one workflow.

Key specs

• Pricing: Free; Launch $49/month (4,000 tokens, 3 brands); Growth $129/month (11,500 tokens, 10 brands); Enterprise custom pricing and allowances with hourly monitoring
• AI engine coverage: 5 engines at every paid tier (ChatGPT, Perplexity, Claude, Gemini, Google AI Overview)
• Technical Audit: 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, Gemini, Perplexity, Copilot, Claude, and Grok, while the public homepage also names Meta AI, DeepSeek, and Google AI Overviews. Its AI instructions page also describes real conversation data, crawler intelligence, and autonomous agents. The current pricing page offers a free seven-day Trial with 50 unique prompts run daily across ChatGPT, Gemini, and Google AI Overviews, followed by custom Enterprise packaging for ongoing monitoring.

Key specs

• Pricing: free 7-day Trial; ongoing monitoring uses custom Enterprise packaging (verified at tryprofound.com/pricing, October 13, 2026)
• AI engine coverage: ChatGPT, Perplexity, Gemini, Copilot, Claude, Grok, Google AI Overviews, Google AI Mode
• Optimization guidance: includes content optimization, but the lead use case is enterprise answer-engine analytics
• Developer integration: API access at Enterprise; JavaScript and Python SDKs plus hosted MCP are documented; no public CLI
• Best for: enterprise brand teams that want broad answer-engine analytics, agents, and contracted developer access

3. AthenaHQ

AthenaHQ is one of the few purpose-built GEO platforms that publishes pricing on a Starter tier. As of September 16, 2026 the paid Starter tier is $295/month, includes 3,600 credits, and lists visibility across 11 models: ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral. Above Starter sits a custom-priced Enterprise tier with the Athena Citation Engine, multi-region support, SSO, and executive dashboards. The credit-based usage model is uncommon in this category and worth modeling against your monthly query volume before committing.

Key specs

• Pricing: Free Essential; Starter $295/month with 3,600 credits; Enterprise custom (verified on the AthenaHQ plans page on September 16, 2026)
• AI engine coverage: 11 models at Starter, including ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral
• Optimization guidance: content recommendations, on-page and off-page actions, and content optimization agent at Starter
• Developer integration: API access is a paid add-on on Starter and included with Enterprise; no public MCP server documented
• Best for: marketing teams that prioritize broad model coverage and are comfortable with a credit-based usage model

4. Peec AI

Peec AI is a Europe-based AI search visibility platform with pricing tied to tracked prompts and models rather than the number of countries or languages. The current pricing page says the Starter plan includes 50 prompts and a choice of three models, while Enterprise adds all models, API access, SSO, and unlimited projects. The pricing grid also lists an MCP integration, which 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; Starter includes 50 prompts, 3 chosen models, and 1 project
• AI engine coverage: Starter/Pro/Advanced choose from ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Perplexity, and Gemini; Enterprise adds API models including Qwen, Deepseek, Claude Sonnet 4, and GPT-5 Search
• Optimization guidance: tracking-focused
• Developer integration: MCP integration listed; API access at Enterprise; no public CLI documented
• Best for: international marketing teams needing prompt/model flexibility with an AI-assistant-native reporting workflow

5. Otterly.ai

Otterly.ai is the lowest-priced platform on this list at $25/month for the Lite plan (15 search prompts) on the current pricing page. It is monitoring-focused and does not lead with the same Technical Audit workflow that scanning platforms produce. The Standard plan is listed at $160/month for 100 prompts, and Premium is listed at $422/month for 400 prompts. Coverage at every tier includes ChatGPT, Google AI Overviews, Perplexity, and MS Copilot, with Google AI Mode, Gemini, and Claude available as add-ons. Otterly's August 2026 documentation lists API, MCP, and Looker Studio access on Standard and Premium, with 2,000 monthly API and MCP requests on Standard and 5,000 of each on Premium.

Key specs

• Pricing: Lite $25/month, Standard $160/month, Premium $422/month, Enterprise custom (verified on Otterly's pricing page and plan documentation on September 16, 2026)
• AI engine coverage: ChatGPT, Google AI Overviews, Perplexity, and MS Copilot; Google AI Mode, Gemini, and Claude are paid add-ons
• Optimization guidance: not the lead use case; positioned as monitoring-first
• Developer integration: API, MCP, and Looker Studio at Standard and Premium; no public CLI documented
• Best for: solo operators or content teams that want low-cost AI mention tracking, with API/reporting upgrades available on higher tiers

6. Semrush One

Semrush One combines SEO and AI-search visibility in one platform. Its current product page connects keyword rankings, backlinks, site auditing, prompt-level AI visibility, competitive research, and website optimization in a shared workflow. Starter includes 50 prompts tracked daily, one domain for AI brand performance, 300 AI visibility reports per day, an AI-ready Site Audit, and MCP access. The plan is listed at $165.17/month when billed annually or $199 month-to-month. Advanced adds API data integration and raises prompt tracking to 200 prompts per day. Semrush also sells the standalone AI Visibility Toolkit from $99/month per domain for teams that do not need the combined SEO plan. This breadth makes Semrush One a strong fit for teams consolidating SEO and AI-search work. Buyers who need a narrower AI-monitoring workflow should compare the higher starting price and larger tool surface with purpose-built platforms.

Key specs

• Pricing: Semrush One Starter is $165.17/month billed annually or $199 month-to-month; standalone AI Visibility starts at $99/month per domain billed annually
• AI engine coverage: ChatGPT, Google AI, Gemini, and Perplexity on the AI Visibility pricing page; Google AI Overviews and LLM answers are also named across Semrush One product copy
• Optimization guidance: AI-ready Site Audit, competitive gaps, prompt monitoring, and step-by-step website recommendations alongside Semrush SEO data
• Developer integration: MCP access on Starter and API data integration on Advanced; no public CLI documented
• Best for: SEO teams that want keyword, backlink, site-audit, and AI-search visibility data in one platform

7. Ahrefs Brand Radar

Ahrefs Brand Radar is the AI search arm of the Ahrefs SEO platform. Pricing is unusual for this category. The current Ahrefs pricing page lists standalone Brand Radar AI from $199/month and custom-prompt packages from $50/month. Custom Prompts are also included in paid Ahrefs plans. Brand Radar's product page says it tracks brand visibility across AI answers, YouTube, and Reddit, with index-prompt datasets for AI Overviews, AI Mode, ChatGPT, Copilot, Gemini, Perplexity, and Grok. The current pricing matrix also lists API access and an MCP Server, which makes Ahrefs more assistant-ready than older comparison tables credited. The platform leverages a large search-backed prompt dataset, which is a structurally different data foundation from purpose-built GEO startups.

Key specs

• Pricing: Brand Radar AI from $199/month; custom-prompt packages from $50/month; paid Ahrefs plans include a tracked-prompt allowance (verified on the Ahrefs pricing page on September 16, 2026)
• AI engine coverage: AI Overviews, AI Mode, ChatGPT, Perplexity, Copilot, Gemini, Grok
• Optimization guidance: leverages Ahrefs' existing site-audit infrastructure
• Developer integration: Ahrefs API and MCP Server; no public CLI 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 Brand Visibility

Adobe Brand Visibility is Adobe's unified enterprise GEO product, formerly sold as Adobe LLM Optimizer. It combines category and competitor intelligence with content activation, bot verification, controlled experiments, and attribution through Adobe Analytics and Customer Journey Analytics. Pricing is sales-led with no public starting tier as of the current source pass.

Key specs

• Pricing: not publicly listed (sales-led, Adobe Experience Cloud licensing)
• AI engine coverage: ChatGPT, Claude, Perplexity, Google AI Mode, Microsoft Copilot, and more
• Optimization guidance: prioritized content briefs, content activation, bot verification, experiments, and baseline comparison
• Data integration: Adobe Analytics and Customer Journey Analytics; no public CLI documented
• Best for: enterprise teams that want category intelligence, activation, and revenue attribution inside Adobe

9. Scrunch

Scrunch publishes Starter at $250 per month billed annually or $300 month to month. Starter includes 350 custom prompts, 1,000 industry prompts, three personas, five page audits, three user licenses, and monitoring across ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, and Meta. Growth costs $417 per month billed annually or $500 month to month and increases the allowance to 700 custom prompts, 2,500 industry prompts, five personas, ten page audits, and five users. Enterprise uses custom pricing and adds enterprise security, expanded scale, and the Enterprise Data API.

Key specs

• Pricing: Starter $250/month billed annually or $300 month-to-month; Growth $417/month billed annually or $500 month-to-month; Enterprise custom (verified on the Scrunch pricing page on October 10, 2026)
• AI engine coverage: ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, and Meta
• Optimization guidance: Starter includes five page audits; Growth includes ten; Enterprise uses a custom allowance
• Developer integration: Enterprise Data API at Enterprise; no public MCP or CLI plan inclusion documented
• Best for: brands and agencies needing monitoring, audits, recommendations, agent-traffic analysis, and enterprise integration options

10. Rankability

Rankability rounds out the list with daily AI and traditional-search tracking. The current pricing page lists Starter at $99/month for 60 active prompts and one workspace, Core at $199/month for 125 prompts and three workspaces, and Team at $399/month for 250 prompts and ten workspaces. Every plan includes unlimited seats, full tool access, an API, and hosted MCP. Engine breadth expands from three AI platforms on Starter to eight on Team. For a comparison page that goes deeper, see our Foglift vs Rankability comparison.

Key specs

• Pricing: Starter $99/month, Core $199/month, Team $399/month (verified on the Rankability pricing page on September 16, 2026)
• AI engine coverage: Starter includes ChatGPT, Google AI Mode, and Claude; Core adds Google AI Overviews and Perplexity; Team adds Gemini, Grok, and Microsoft Copilot
• Optimization guidance: full toolset access at every tier
• Developer integration: API and hosted MCP at every tier; no public CLI documented
• Best for: teams that want daily AI and traditional-search tracking with unlimited seats and agent access

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. Each price carries its own source-check date below. AthenaHQ, Otterly, Ahrefs, and Rankability received the most recent pass on September 16, 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 Technical Audit on YOUR site (no API key needed)
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) whose AI-search surfaces are substantial enough to evaluate alongside specialist tools.
• 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 measure page-level AI Readiness signals.

FAQ: AEO tools 2026 and GEO platforms

What are the leading AEO platforms in 2026?

The leading AEO platforms in 2026 are Foglift, Profound, AthenaHQ, Peec AI, Otterly.ai, Semrush One, Ahrefs Brand Radar, Adobe Brand Visibility, Scrunch, and Rankability. Foglift is the best fit for developer-led SaaS teams that want closed-loop optimization: Technical Audits, five-engine AI Visibility monitoring, recommendations, an API, an MCP server, and an open-source CLI. Profound and Adobe Brand Visibility fit enterprise teams with sales-led procurement. AthenaHQ fits teams that prioritize high 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 AI Readiness scoring with multi-engine AI Visibility monitoring.

How do you choose an AI search monitoring tool?

Compare engine coverage, starting price, AI Readiness 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 $25/month for monitoring-first coverage. Foglift Launch at $49/month is the cheapest full-stack AEO tool in the matrix because it combines Technical Audits, five-engine AI Visibility monitoring, recommendations, an API, an MCP server, and an open-source CLI.

How much does Scrunch cost in 2026?

Scrunch Starter costs $250 per month billed annually or $300 month to month and includes 350 custom prompts. Growth costs $417 per month billed annually or $500 month to month and includes 700 custom prompts. Enterprise uses custom pricing and is the only listed plan with the Enterprise Data API.

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. Anthropic, Model Context Protocol specification (modelcontextprotocol.io, November 2024). Defines the open interface that lets agentic tools call external servers.
6. Vendor pricing and product pages (Profound refreshed October 13, 2026; Scrunch refreshed October 10, 2026; AthenaHQ, OtterlyAI, Ahrefs, and Rankability refreshed September 16, 2026; Adobe refreshed September 13, 2026; remaining vendors last passed July 13, 2026): Foglift pricing, Semrush One and AI Visibility pricing pages, OtterlyAI pricing page, Peec AI pricing page, Ahrefs Brand Radar product/help pages, Profound homepage and AI instructions, AthenaHQ plans page, Adobe Brand Visibility, Scrunch, and Rankability. Pricing subject to change; verify against the vendor's own page before purchase.
7. Foglift product and pricing documentation, checked July 31, 2026: unlimited single-page Technical Audits on every plan, active-use weekly Perplexity monitoring on Free, and daily five-engine monitoring plus REST API, CLI, hosted MCP, local MCP, webhooks, and batch scanning on Launch.

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