Best GEO/AEO Tools for B2B SaaS in 2026

Wynter's 2026 B2B CMO survey found that 84% of B2B chief marketers now use AI assistants and large language models as part of their vendor-discovery research before booking a sales call. Gartner projects search engine volume will drop 25% by 2026 as AI chatbots absorb the top of the funnel. The Aggarwal et al. KDD 2024 paper that introduced the GEO-Bench benchmark showed source-level optimization can lift generative-engine visibility by up to 40%. A B2B SaaS company that ranks for its keywords but is not cited by ChatGPT, Perplexity, Claude, Gemini, or Google AI Overview ends up missing from the buyer's shortlist entirely.

This guide ranks ten GEO/AEO platforms specifically for B2B SaaS marketing and engineering teams, with verified pricing where it is public and an explicit "sales-led" label where it is not. The angle is the SaaS buyer side — a marketing or engineering team adopting GEO for their own product — not the agency side. Most other B2B GEO listicles are written from the agency-delivery perspective and rank tools by multi-client workspace features. We rank by API-first integration, MCP server coverage, public pricing, and fit with an existing SaaS stack.

Foglift is on this list because we built one of the platforms in it. We've slotted ourselves at #1 for SaaS teams that want their AI search visibility to live alongside their codebase — wired into CI, into Cursor or Claude Code, into Mixpanel or HubSpot dashboards. For agencies running GEO across multiple SaaS clients, Scrunch (#6) is a stronger fit because the multi-tenant workspace was built for that shape. For enterprise multi-brand programs with Fortune 500 budgets, Profound (#3) is positioned for that segment. The ranking criteria and the underlying data are below; if you disagree with the slot, the comparison table and runnable evaluation script will let you re-rank against your own priorities.

How we ranked these platforms

Five criteria, weighted equally, with a B2B SaaS tilt:

1. Engine coverage relevant to SaaS buyer journeys. The five generative engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overview) at minimum, with a bonus for tracking the enterprise-skewed engines (Microsoft Copilot, Google AI Mode) that show up inside SaaS-buyer enterprise tools.
2. API and MCP integration depth. Whether the platform ships a public REST API, an MCP server, an open-source CLI, and documented webhook patterns. The Stack Overflow 2025 Developer Survey reports 76% of developers are using or planning to use AI tools in their workflow, and SaaS engineering teams are at the leading edge of that distribution. AI-coding-agent-friendly integration is the single highest-leverage axis for SaaS in 2026.
3. Public pricing. Whether a SaaS PMM or growth lead can see the entry price without booking a sales call. Sales-led platforms are penalized by one slot per criterion when features are otherwise tied, because pricing opacity is real friction for SaaS teams running on lean software budgets and quarterly procurement cycles.
4. Buying-committee fit. Whether the dashboard, reporting layer, and integrations work for the SaaS buying committee shape — typically a head of marketing plus a head of growth plus an engineering or product owner — rather than for a single-seat agency analyst. Slack and HubSpot integrations, single sign-on, and multi-seat workflows count here.
5. Pricing-page citation as a proxy. Whether the platform's own pricing page is indexed and cited by AI engines today. If a vendor cannot get its own page cited in ChatGPT or Perplexity for a query like "best AI visibility tracking tools," the demo is going to have to do all the work. We checked this informally as a tie-breaker, not as a primary axis.

1. Foglift

Foglift sits at #1 for SaaS teams that want their AI search visibility data to live alongside their codebase — wired into CI, into Cursor or Claude Code, into Mixpanel or HubSpot. The platform combines an eight-dimension AEO 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 (ChatGPT, Perplexity, Claude, Gemini, Google AI Overview) and an Actions Engine that converts findings into prioritized work. Launch starts at $49/month — the lowest entry-tier price among full-stack AEO/GEO platforms with public pricing. Foglift is the only platform on this list that ships a first-party Model Context Protocol server (foglift-mcp), a public REST API, and an MIT-licensed open-source CLI on npm (foglift-scan).

Transparency note: For agencies running GEO across multiple SaaS clients, Scrunch (#6) is the stronger fit because the multi-tenant workspace and per-client license model were built for that. For enterprise multi-brand SaaS programs with Fortune 500 budgets, Profound (#3) is positioned for the sales-led segment. Foglift is best when one product team owns AI search and wants the data inside their codebase and dashboards rather than inside a separate vendor portal.

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 AEO score, full SEO/performance/security/accessibility audit
• Build-pipeline integration: REST API, MCP server, open-source CLI on npm, public docs
• Best for: SaaS engineering and growth teams that own AI search internally and want it wired into their existing stack

2. AthenaHQ

AthenaHQ is the brand-discovery and citation analytics option for SaaS teams attributing AI traffic to revenue. Pricing is $295/month Self-Serve monthly-billed, or $95/month when billed annually (a 17% discount on the published rate, with a current "first month 67% off" promo on the pricing page), with a custom-priced Enterprise tier for the "Athena Citation Engine" and white-glove setup. The Self-Serve tier includes 3,600 credits/month at one credit per AI response, generous for a single-brand SaaS monitoring use case and tight for a multi-brand portfolio. AthenaHQ's strength is the citation depth and the LLM traffic analysis surface; its weakness for a SaaS engineering team is the lack of a public MCP server.

Key specs

• Pricing: Self-Serve $295/month monthly-billed or $95/month annual-billed, Enterprise custom (verified at athenahq.ai/pricing, April 2026)
• AI engine coverage: per published marketing copy — major engines covered
• On-page scoring: content optimization AI agent at Self-Serve tier
• Build-pipeline integration: API access at Enterprise tier; no public MCP server documented
• Best for: single-brand SaaS marketing teams that prioritize citation depth and LLM traffic attribution over developer integration

3. Profound

Profound is the enterprise-tier brand-monitoring platform. Pricing is sales-led with no public starting price as of April 2026; tryprofound.com/pricing renders to a navigation skeleton with no dollar amounts and every primary CTA routes to a demo or contact form. Profound's positioning targets enterprise SaaS multi-brand monitoring, share-of-voice analytics across portfolios, and ChatGPT integration — the lane where a sales-led tier with white-glove setup makes economic sense. Worth a slot for any SaaS company already running sales-led tools elsewhere in its stack and a budget that matches.

Key specs

• Pricing: not publicly listed (sales-led — verified at tryprofound.com/pricing, April 2026)
• AI engine coverage: ChatGPT, Perplexity, Claude, Gemini, plus ChatGPT integration (per public marketing copy)
• On-page scoring: monitoring-focused; on-page audit is not the lead use case
• Build-pipeline integration: API access available on request; no public MCP server documented
• Best for: enterprise B2B SaaS portfolios needing share-of-voice analytics across multiple sub-brands with budget for a sales-led tier

4. Peec AI

Peec AI is the Europe-based AI search visibility option positioned for SaaS marketing teams that need GDPR-compliant tracking and EU-resident data. Four tiers are advertised — Starter, Pro, Advanced, Enterprise — though as of April 2026 no monthly amounts are published; tier features and the contact form route through a single "Get Started" or "Talk to Sales" flow. Public marketing copy lists 3 AI models on Starter/Pro/Advanced and unlimited on Enterprise, scaling from 1 to unlimited projects. For a comparison page that goes deeper, see our Foglift vs Peec AI feature comparison.

Key specs

• Pricing: tier names public (Starter, Pro, Advanced, Enterprise); monthly amounts not published (verified at peec.ai/pricing, April 2026)
• AI engine coverage: 3 models on Starter/Pro/Advanced, unlimited on Enterprise (per published marketing copy)
• On-page scoring: tracking-focused
• Build-pipeline integration: no public MCP server documented
• Best for: European B2B SaaS marketing teams needing GDPR-compliant AI visibility tracking and comfortable with a sales-led pricing flow

5. Otterly.ai

Otterly.ai is the budget-conscious option for SaaS teams testing GEO before committing to a higher tier. Lite at $29/month (15 search prompts, 1,000 GEO URL audits) is the lowest entry-tier price in this guide, with Standard at $189/month (100 prompts, 5,000 audits) and Premium at $489/month (400 prompts, 10,000 audits). Coverage at every tier includes ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot, with Google AI Mode and Gemini available as separate add-ons ($9-$149/month). Otterly publishes a 15% annual-billing discount on every tier and a Looker Studio connector at Standard and above.

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; Google AI Mode/Gemini add-on
• On-page scoring: monitoring-first; audit volume scales by tier
• Build-pipeline integration: Looker Studio connector at Standard+; no public MCP server documented
• Best for: SaaS teams testing GEO at a low entry price or content-led SaaS prioritizing AI mention tracking

6. Scrunch

Scrunch is the agency-workspace option for B2B SaaS programs delivered through an outside agency or run across multiple sub-brands. Pricing is published at $250/month Brand Core (125 prompts, 5 site audits, 1 brand workspace, 5 user licenses, 4 LLMs) and $500/month Agency Core (multi-brand support with higher limits), with custom-priced Brand Enterprise and Agency Enterprise tiers that add 9 LLMs, SAML/OIDC SSO, full site audits, and API access. A 7-day free trial of the Core plan is available with a credit card. Scrunch is the right fit when the SaaS company runs GEO through an agency with multiple clients on the same dashboard.

Key specs

• Pricing: Brand Core $250/month, Agency Core $500/month, Brand Enterprise and Agency Enterprise custom (verified at scrunch.com/pricing, April 2026); 7-day free trial
• AI engine coverage: 4 LLMs on Core tiers, 9 on Enterprise
• On-page scoring: 5 site audits/month on Core, full audits on Enterprise
• Build-pipeline integration: API access on Enterprise tiers; no public MCP server documented
• Best for: agencies delivering GEO to B2B SaaS clients or SaaS multi-brand portfolios needing per-client workspace separation

7. Attensira

Attensira is the prompt-tracking and content-generation hybrid for B2B SaaS content teams. As of April 2026, Attensira tracks an unusually broad set of AI engines — ChatGPT, Gemini, Google AI, Claude, Copilot, Perplexity, Grok, DeepSeek, and Qwen — across all tiers. Pricing is published at $129/month Starter (50 prompts, 6,000 responses, 5 articles), $299/month Growth (150 prompts, 18,000 responses, 15 articles), and $649/month Business (350 prompts, 42,000 responses, 30 articles), with custom Agency/Enterprise pricing above. Best fit for a SaaS content team that wants prompt-monitoring breadth plus content generation in one tool rather than two.

Key specs

• Pricing: Starter $129/month, Growth $299/month, Business $649/month, Agency/Enterprise custom (verified at attensira.com/pricing, April 2026)
• AI engine coverage: ChatGPT, Gemini, Google AI, Claude, Copilot, Perplexity, Grok, DeepSeek, Qwen
• On-page scoring: content generation focused; tracking is the lead surface
• Build-pipeline integration: not the lead use case; dashboard-first product
• Best for: SaaS content teams that want broad prompt-engine coverage plus content generation in one platform

8. AirOps

AirOps is the content-workflow option for SaaS teams executing on GEO insights at scale. The Insights free tier starts at $0/month (1,000 tasks/month, 1 user, basic templates, ChatGPT-only insights). Solo and Pro tiers advertise "Free to start" on the published pricing page with task and prompt allocations (20,000 / 75,000 tasks, 100 / 250 tracked prompts) and feature breakdowns, but specific dollar amounts for paid Solo and Pro are not displayed; treat as sales-led at the upgrade gate. The Pages and Enterprise tiers are explicitly sales-led with custom pricing. Pro adds multi-engine insights across Google, Perplexity, OpenAI, and Google AI Studio.

Key specs

• Pricing: Insights free at $0/month; Solo/Pro advertise "Free to start" with paid tier $ not displayed; Pages and Enterprise sales-led (verified at airops.com/pricing, April 2026)
• AI engine coverage: ChatGPT only on Solo; Google, Perplexity, OpenAI, Google AI Studio on Pro and above
• On-page scoring: content-workflow surface, not GEO-audit-first
• Build-pipeline integration: 30+ AI models, 10+ data providers, 10+ CMS integrations on free tier
• Best for: SaaS content teams that want a multi-engine workflow platform layered on top of GEO insights

9. Frase

Frase is the content-team option that has expanded into AI Visibility. As of April 2026, Frase publishes Starter at $49/month (1 domain, 10 AI articles, 50 audit pages, 2 AI visibility platforms), Professional at $129/month (5 domains, 40 articles, 250 audit pages, 3 AI visibility platforms), and Scale at $299/month (10 domains, 100 articles, 1,000 audit pages, 5 AI visibility platforms), with a 7-day free trial and a 20% annual discount. The tier prices are identical to Foglift's; the differentiation is the buyer profile and engine coverage. Frase is an article-research and content-brief platform with AI visibility added on, optimized for a SaaS content marketing team. Foglift is a dedicated AEO/GEO platform with 5 engines tracked at every paid tier plus developer integration, optimized for engineering and product-led SaaS teams. The right answer depends on which team owns AI search at your company.

Key specs

• Pricing: Starter $49/month, Professional $129/month, Scale $299/month, Enterprise custom (verified at frase.io/pricing, April 2026); 20% annual discount; 7-day free trial
• AI engine coverage: 2 / 3 / 5 / 8 AI visibility platforms by tier (per published marketing copy)
• On-page scoring: article-research and content-brief layers, plus audit pages
• Build-pipeline integration: API access at Scale tier; no public MCP server documented
• Best for: SaaS content marketing teams where the marketing team owns AI search and the workflow is article-research-first

10. Ahrefs Brand Radar

Ahrefs Brand Radar is the option for SaaS teams already running Ahrefs who want to add AI search tracking without a second vendor contract. As of April 2026, Brand Radar is bundled into the standard Ahrefs core tiers — Lite at $129/month (5 tracked prompts), Standard at $249/month (10 tracked prompts), and Advanced at $449/month (20 tracked prompts), with Enterprise pricing on request. The strength is consolidation — one vendor for the existing keyword and backlink program plus AI search. The weakness for a SaaS team that wants serious GEO depth is the prompt count: 5 to 20 tracked prompts is a small sample versus the 100-400 range that dedicated AI visibility tools track. Treat Brand Radar as a complement to the Ahrefs SEO program rather than a standalone GEO platform.

Key specs

• Pricing: Lite $129/month (5 tracked prompts), Standard $249/month (10 prompts), Advanced $449/month (20 prompts), Enterprise on request (verified at ahrefs.com/pricing, April 2026)
• AI engine coverage: per Ahrefs marketing copy — major engines covered through Brand Radar
• On-page scoring: leverages the existing Ahrefs site audit infrastructure
• Build-pipeline integration: Ahrefs API; no public MCP server documented
• Best for: SaaS teams already on Ahrefs adding light AI search visibility tracking inside the same dashboard

Comparison table

Four columns: tool, who it's best for, whether a free or trial tier exists, and the entry-tier monthly price (or "sales-led" when no public price exists). All pricing was verified by direct WebFetch against each vendor's own pricing page in April 2026.

How to evaluate any of these platforms against your own SaaS site

Vendor demos are designed to make every platform look great. The cleaner test is to run a baseline scan against your own revenue-bearing pages — your homepage, your top-of-funnel comparison pages, and your pricing page — and walk into the demo with that data. The script below uses the open-source foglift-scan CLI (MIT-licensed, on npm) to produce an AEO score and structured-data audit for any URL — your homepage, your pricing page, your top comparison pages, or a competitor's landing. Run it before every sales call and the conversation starts on different ground.

#!/usr/bin/env bash
# evaluate-saas-aeo.sh
# Run this before every B2B SaaS GEO/AEO platform sales call.
# Usage: ./evaluate-saas-aeo.sh https://your-saas.com
set -euo pipefail
URL="${1:?usage: evaluate-saas-aeo.sh https://your-saas.com}"
OUT="$(mktemp -d)"

# 1. Baseline AEO score on YOUR homepage (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 SaaS competitor homepages 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 the vendor demo and ask them to show how their tool"
echo "would lift the lowest two dimensions on YOUR page. Watch how concrete the answer gets."

The point of the script is not to replace any of the platforms in this guide — it is a baseline scoring layer that ships in every real AEO/GEO toolset and that lets you walk into a demo 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. AthenaHQ, Profound, and Scrunch layer share-of-voice analytics and citation engines 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

• Bundled SEO suites with AI add-ons (besides Ahrefs). Semrush AI Visibility Toolkit, Authoritas, and Scalenut all ship AI search modules; the AI Visibility Toolkit is the closest peer to Brand Radar but its pricing was not surfaced on the Semrush /pricing page during the April 2026 verification pass. Ahrefs Brand Radar made the list because it ships with public per-tier prompt counts and clear pricing.
• Adobe LLM Optimizer and BrightEdge Aura. Enterprise-CMS-integrated, sales-led, both belong on a vendor shortlist for any Adobe Experience Cloud or BrightEdge customer and probably nowhere else.
• Ecommerce-tilted GEO platforms. Azoma and Ecomtent ship marketplace AI engine coverage (Amazon Rufus, Walmart Sparky) and bulk SKU content generation, neither of which is the right shape for a B2B SaaS landing page program. Covered separately in our Best GEO/AEO Tools for Ecommerce 2026 guide.
• Pure brand-mention monitoring tools. Brand24, Mention, and Meltwater pre-date the AI search era. Meltwater GenAI Lens is a comms-stack play, not a SaaS-buyer-fit GEO platform; the engine coverage is communications-team-focused, not generative-search-focused.

FAQ

Why do B2B SaaS companies need a dedicated GEO/AEO tool in 2026?

Wynter's 2026 B2B CMO survey reported 84% of B2B chief marketers use AI assistants and LLMs for vendor-discovery research before booking a sales call. With Gartner projecting search engine volume will drop 25% by 2026, a SaaS site that ranks for its keywords but is not cited by ChatGPT, Perplexity, Claude, Gemini, or Google AI Overview ends up missing from the buyer's shortlist entirely. A dedicated GEO/AEO platform measures and improves that citation surface; a generic SEO suite does not.

What is the difference between a B2B SaaS GEO tool and a generic GEO tool?

A B2B SaaS GEO tool prioritizes API-first integration so engineering can wire AI visibility into CI/CD or into Cursor and Claude Code, a public REST API and ideally an MCP server so the data flows into existing SaaS dashboards (Mixpanel, HubSpot, Segment), and a tier structure that makes sense for a single-product team rather than a multi-client agency. Foglift sits at the API-first end. Scrunch and AirOps lean toward agency multi-client workflows. Profound and AthenaHQ lean toward enterprise monitoring.

Which B2B SaaS GEO/AEO tools publish their pricing in 2026?

Six of ten in this guide: Foglift ($49 / $129 / $299), AthenaHQ ($295/mo or $95/mo annual), Otterly.ai ($29 / $189 / $489), Scrunch ($250 / $500), Attensira ($129 / $299 / $649), Frase ($49 / $129 / $299), and Ahrefs core plans ($129 / $249 / $449 / $1,499). Ahrefs Brand Radar is sold separately as a standalone subscription ($398/mo Select Platforms or $699/mo All Platforms). Profound, Peec AI, and the paid AirOps tiers are sales-led with no public starting price.

Which GEO/AEO tool is best for a B2B SaaS engineering team that wants AI visibility wired into CI?

Foglift. It is the only platform on this list that ships a first-party MCP server on npm, an open-source CLI under the MIT license, and a public REST API. AthenaHQ, Profound, and Peec AI publish APIs at higher tiers but none ships a public MCP server. Frase and AirOps are content-workflow-first products. Scrunch is agency-workspace-first.

How does Frase compare to Foglift given the identical tier prices?

Same dollar amounts ($49 / $129 / $299), different products. Frase is an article-research and content-brief platform with AI Visibility added on; at the Starter tier it tracks 2 AI visibility platforms, scaling to 8 at Enterprise. Foglift covers 5 generative engines at every paid tier with the AEO score, AI Visibility tracking, and developer integration as the lead surface. The right answer depends on which team owns AI search at your company — marketing-led article-research → Frase, engineering or product-led → Foglift.

Is the AI search opportunity real for B2B SaaS, or just hype?

Real and measurable. Gartner's February 2024 forecast projects search volume will drop 25% by 2026. SE Ranking's 2025 study of 129,000 domains found ChatGPT cites only 15% of retrieved pages and the top 10 domains take 46% of all citations on a topic. That winner-take-most distribution paired with Wynter 2026's 84% B2B CMO adoption of AI for vendor research means a SaaS company either earns a top citation slot or drops out of the AI-mediated shortlist.

How should a B2B SaaS team evaluate GEO/AEO platforms before a sales call?

Run a baseline foglift-scan against your homepage, your pricing page, your top three comparison pages, and the homepages of two competitors. The CLI is open-source and produces an eight-dimension AEO score with no API key. Walk into the demo knowing which dimensions are weakest and ask the vendor to show how their tool would lift the lowest two on your actual pages.

Sources & Further Reading

1. Wynter — 2026 B2B CMO Survey. 84% of B2B chief marketers use AI assistants and large language models as part of their vendor-discovery research before booking a sales call.
2. 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%.
3. 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 — winner-take-most distribution.
4. 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.
5. Stack Overflow — 2025 Developer Survey (n > 49,000 respondents). 76% of developers are using or planning to use AI tools in their workflow.
6. Gartner — "Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents" (February 2024).
7. Vendor pricing pages (verified April 2026) — Foglift, AthenaHQ, Profound, Peec AI, Otterly.ai, Scrunch, Attensira, AirOps, Frase, Ahrefs. 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.