Best GEO & AEO Tools for Ecommerce (2026)

Last updated: September 7, 2026

AEO (answer engine optimization) and GEO (generative engine optimization) both describe the practice of optimizing content to appear in AI-generated answers.

Adobe Analytics measured a 693.4% year-over-year increase in generative-AI referrals to U.S. retail sites during the 2025 holiday season. Those visits converted 31% more often than non-AI traffic. Adobe based the analysis on more than 1 trillion visits to U.S. retail sites. General answer engines and retailer-owned shopping agents now influence product discovery often enough that ecommerce teams need a dedicated measurement and optimization layer. This guide compares ten current platforms and links every pricing and product claim to first-party evidence.

Adobe also found that AI referrals were 33% less likely to bounce, spent 45% more time on site, and viewed 13% more pages per visit during that period. Those are channel-level observations, not a promised lift for every store. Separately, Aggarwal et al.'s KDD 2024 paper introduced GEO-Bench and measured visibility gains of up to 40% from source-level optimization, with results varying by domain. The tools below address different parts of that opportunity: monitoring, technical diagnosis, shopping-agent coverage, and product-data work.

Foglift is on this list because we built one of the platforms in it. We've slotted ourselves at #1 for a specific buyer profile: merchants building Shopify themes, headless storefronts on Next.js, Remix, or Astro, or agentic apps with Cursor, Claude Code, v0, or Lovable. For Amazon or Walmart shopping-agent optimization, Azoma at #2 is the stronger fit. 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.

This page owns the ecommerce-specific shortlist. For the broader cross-industry buyer guide, use the best AI search optimization tools comparison. For platform-by-platform head-to-heads, start with the AI visibility software comparison hub.

One reason ecommerce-specific tooling diverges from generic GEO: the citation shape AI engines apply to retail and CPG queries is structurally inverted from tech SaaS. Foglift's Aggregators vs Vendors in AI Search (Q2 2026) benchmark analyzed 375 buyer-intent responses across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview. CPG and retail responses cite a neutral aggregator (review site, marketplace listing, comparison roundup) 80.0% of the time, and cite the vendor's own first-party site only 22.7% of the time. Tech SaaS responses run the opposite shape: 92.7% vendor-site citations and 44.7% aggregator citations. On the same vendor-share metric the gap between the two categories is 70 percentage points (92.7 minus 22.7). The structural inversion means an ecommerce brand's AI search program needs to invest heavily in off-site citation surfaces (Wirecutter, Reddit, YouTube, niche review sites, Amazon Editorial) alongside its own PDPs, and that the tooling that helps you do that looks structurally different from a B2B SaaS dashboard. Several of the platforms below reflect that split.

A new enterprise entrant: Yotpo Discover

Yotpo Discover is a demo-led AI visibility and optimization platform for commerce brands. Its current product page documents product- and category-level tracking, onsite and content agents, an activation agent, shopper-data grounding, and an MCP connection for Claude. The initial release is designed for brands generating $10M+ in annual GMV; smaller brands are routed to a waitlist. That enterprise threshold is why Discover is not ranked in this self-serve top ten yet.

Foglift is the stronger fit for developer-led startups and ecommerce teams that need to start below that threshold: every plan includes unlimited single-page Technical Audits, and the $49 Launch plan adds daily monitoring across five AI engines, prioritized recommendations, REST API, CLI, and MCP access. Yotpo Discover is the stronger specialist to evaluate when a mature commerce brand wants catalog-level workflows grounded in its existing Yotpo reviews, loyalty, and shopper data.

How we ranked these platforms

Five criteria, weighted equally, with an ecommerce-specific tilt:

1. Engine coverage relevant to ecommerce. The five generative engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overview) plus the marketplace engines (Amazon Rufus, Walmart Sparky) where the platform tracks them. Marketplace coverage is rare and is the differentiator for the top of the list.
2. Product-page scoring depth. Whether the platform validates Schema.org Product, Offer, and AggregateRating markup, and produces an AI Readiness score that surfaces the structural gaps an AI engine uses to decide whether to cite the page.
3. Public pricing. Whether a buyer 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 a real friction cost for ecommerce teams running on lean software budgets.
4. Build-pipeline integration. Public CLI, REST API, MCP server, CI/CD documentation. The Stack Overflow 2025 Developer Survey reports that 84% of developers are using or planning to use AI tools in their workflow, and ecommerce engineering teams are no exception. AI-coding-agent-friendly integration is the single highest-leverage axis for storefront builders in 2026.
5. SKU-volume fit. Whether the platform's pricing and content-generation volume scale to a real ecommerce catalog. Tools sized for content-marketing teams (50 prompts/month) are not sized for a 10,000-SKU storefront, and we say so explicitly.

1. Foglift

Foglift sits at #1 for a specific ecommerce buyer profile: merchants building Shopify themes, headless storefronts on Next.js, Remix, or Astro, and agentic apps with Cursor, Claude Code, v0, or Lovable. The platform combines unlimited single-page Technical Audits across SEO, AI Readiness, performance, security, and accessibility with five-engine AI Visibility tracking and an Actions Engine that converts findings into prioritized work. Launch starts at $49/month and adds weekly full-site Technical Audits of up to 100 pages, daily monitoring across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overview, plus REST API, CLI, and MCP access. Frase also starts at $49 and publishes all three developer interfaces, but caps Starter audits at 50 pages per month. Foglift's combination adds unlimited single-page Technical Audits and an MIT-licensed open-source CLI on npm (foglift-scan).

Transparency note: For pure Amazon or Walmart marketplace SKU work, Azoma (#2) is the stronger fit because it covers Amazon Alexa for Shopping, Amazon COSMO, and Walmart Sparky, then connects to commerce and product-information systems. Foglift covers the five general answer engines, checks product markup inside its Technical Audit, and integrates cleanly with developer storefront builds, but it is not a marketplace listing tool.

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: unlimited single-page checks on every plan across SEO, AI Readiness, performance, security, and accessibility; weekly full-site audits of up to 100 pages on Launch+
• Build-pipeline integration: REST API, MCP server, open-source CLI on npm, and public docs from Launch
• Best for: developer-led storefront teams, headless ecommerce, agentic-storefront builders, mid-market ecommerce SaaS

2. Azoma

Azoma is the agentic-commerce option in this guide. Its current first-party documentation lists Amazon Alexa for Shopping (formerly Rufus), Amazon COSMO, Walmart Sparky, ChatGPT, Gemini, Perplexity, Meta AI, and Claude, along with product-data enrichment, content syndication, and commerce or PIM integrations. Azoma uses custom pricing for brands and agencies. Azoma's current first-party documentation identifies Ecomtent as its former brand, so this guide counts Azoma and Ecomtent once.

Key specs

• Pricing: Custom pricing for brands and agencies
• AI and shopping-agent coverage: Amazon Alexa for Shopping (formerly Rufus), Amazon COSMO, Walmart Sparky, ChatGPT, Gemini, Perplexity, Meta AI, and Claude
• Optimization guidance: product-data enrichment, PDP content, off-site citation work, and direct publishing into commerce systems
• Build-pipeline integration: secure API access for commerce, PIM, and product-data systems
• Best for: consumer brands and retailers that need shopping-agent coverage and SKU-level product-data workflows

3. Scrunch

Scrunch is the site-audit and content-delivery option. The browser-rendered brand plan lists $250/month Core with 125 unique prompts, 5 site audits per month, 1 brand workspace, 5 user licenses, and monitoring across four engines: ChatGPT, Perplexity, Google AI Overview, and Copilot. Its custom-priced Enterprise plan lists nine engines, complete site audits, AXP, Query API access, advanced API access, and custom MCP access. Scrunch publishes its Agent Experience Platform as the content-delivery layer. For ecommerce teams, the practical contrast is price and workflow: Foglift starts at $49/month with unlimited single-page Technical Audits plus API, CLI, and MCP access, while Scrunch's browser-rendered plan starts at $250/month and emphasizes monitoring, page audits, and AXP delivery.

Scrunch's public pricing URL currently serves a different Starter and Growth matrix to some crawler-readable clients. This guide uses the browser-rendered brand plan buyers see and records the discrepancy instead of treating either payload as a universal contract.

Key specs

• Browser-rendered pricing: $250/month Core; custom-priced Enterprise; 7-day Core trial
• Core monitoring: 125 unique prompts across four engines: ChatGPT, Perplexity, Google AI Overview, and Copilot
• Core audits and workspace: 5 site audits per month; 1 brand workspace; 5 user licenses
• Enterprise: nine engines, complete site audits, AXP, Query API access, advanced API access, and custom MCP access
• Best for: ecommerce teams that want monitoring, site audits, and an optional AI-agent content-delivery layer

4. Attensira

Attensira is the prompt-tracking and content-generation hybrid. Its current pricing page lists 10 AI engines, the highest count among the platforms in this guide, including ChatGPT, Gemini, Google AI Overview, Google AI Mode, Claude, Copilot, Perplexity, Grok, DeepSeek, and Qwen. 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 pricing above. Best fit for an agency or ecommerce team that wants prompt-monitoring breadth plus content generation at agency scale, all in one tool.

Key specs

• Pricing: Starter $129/month, Growth $299/month, Business $649/month, Agency/Enterprise custom
• AI engine coverage: 10 engines (ChatGPT, Gemini, Google AI Overview/Mode, Claude, Copilot, Perplexity, Grok, DeepSeek, Qwen)
• Optimization guidance: content generation focused; tracking is the lead surface
• Build-pipeline integration: not the lead use case; dashboard-first product
• Best for: agencies and ecommerce teams that want broad prompt-engine coverage plus content generation in one platform

5. AthenaHQ

AthenaHQ is the brand-sentiment-and-discovery option. Essential is free with 300 credits, five named engines, unlimited members, source and competitor insights, content recommendations, and the Athena AI agent. Starter costs $295/month and includes 3,600 credits, 10-model coverage, CSV export, integrations, and action workflows. API access and extra credits are optional paid add-ons billed on top of the Starter subscription. API access is included with Enterprise. Enterprise is custom-priced for the Athena Citation Engine and organization controls. The Starter tier includes 3,600 credits/month at 1 credit per AI response, which is generous for a single-brand ecommerce monitoring use case and tight for a multi-brand agency. AthenaHQ's strength is sentiment depth; its weakness for ecommerce is the lack of marketplace-engine coverage.

Key specs

• Pricing: Essential free with 300 credits; Starter $295/month with 3,600 credits; Enterprise custom
• AI engine coverage: 5 named engines on Essential; 10 models on Starter
• Optimization guidance: content recommendations and Athena AI agent on Essential; deeper action workflows on Starter
• Build-pipeline integration: API access is a paid add-on on Starter and included with Enterprise; no public MCP server documented
• Best for: single-brand ecommerce teams that prioritize sentiment depth and brand-discovery analytics over marketplace coverage

6. Profound

Profound is an AI search analytics platform with public self-serve and enterprise tiers. Its current pricing page lists $99/month Starter and $399/month Growth, both billed yearly, plus custom-priced Enterprise. Starter tracks ChatGPT only, while Growth tracks three answer engines and Enterprise expands to as many as nine. The platform leans toward share-of-voice depth and content agents for multi-brand portfolios.Foglift enters lower at $49/month and adds unlimited single-page Technical Audits plus API, CLI, and MCP access for teams that want the diagnostic and developer workflow alongside monitoring.

Key specs

• Pricing: $99/month Starter and $399/month Growth, both billed yearly, plus custom-priced Enterprise (verified at tryprofound.com/pricing, September 1, 2026)
• AI engine coverage: ChatGPT on Starter, three answer engines on Growth, and up to nine on Enterprise
• Optimization guidance: monitoring-focused; a Technical Audit workflow is not the lead use case
• Build-pipeline integration: Profound documents an MCP connector; Growth lists no API access
• Best for: DTC teams needing share-of-voice analytics across multiple sub-brands, with a self-serve starting tier and an enterprise upgrade path

7. Authoritas

Authoritas is the SEO-veteran option that has added an AI Search module. Current platform pricing remains gated behind "View Pricing Details" links on the overview page rather than published in full; a buyer should request pricing directly from authoritas.com. The strength is the underlying SEO infrastructure: established keyword and SERP tracking, an API, a long history with established ecommerce brands. The weakness for a specifically GEO-first ecommerce team is that the AI Search arm is a layer on top of an existing SEO platform rather than a purpose-built GEO tool, with the dashboard complexity that comes with that.

Key specs

• Pricing: platform pricing is quote-based; its separate SERPs API publishes usage pricing from £3.50 per thousand queries at 100,000 monthly queries
• AI engine coverage: per published marketing copy, major engines via the AI Search module
• Optimization guidance: leverages existing Authoritas site-audit infrastructure
• Build-pipeline integration: Authoritas API; no public MCP server documented
• Best for: established ecommerce brands already on a traditional SEO platform that want to add AI Search inside the same dashboard

8. Otterly.ai

Otterly.ai is the budget-conscious DTC entry. Lite at $29/month (15 search prompts) is the lowest entry-tier price in this guide, with Standard at $189/month (100 prompts) and Premium at $489/month (400 prompts). Coverage at every tier includes ChatGPT, Google AI Overviews, Perplexity, and MS 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. Best fit for a small DTC brand testing GEO before committing to a higher tier, or a content-led ecommerce site that wants AI mention tracking without a Technical Audit workflow.

Key specs

• Pricing: Lite $29/month, Standard $189/month, Premium $489/month, Enterprise custom
• AI engine coverage: ChatGPT, Google AI Overviews, Perplexity, MS Copilot; Google AI Mode/Gemini add-on
• Optimization guidance: monitoring-first; a Technical Audit workflow is not the lead use case
• Build-pipeline integration: API and MCP access begin on Standard; Looker Studio is also available on Standard and Premium
• Best for: small DTC brands testing GEO at a low price point or content-led ecommerce sites prioritizing AI mention tracking

9. Peec AI

Peec AI is the Europe-based AI search visibility option. Brand pricing is published at $95/month Starter, $245/month Pro, $495/month Advanced, and custom-priced Enterprise. Starter, Pro, and Advanced each let buyers choose three models, while Enterprise supports all listed models plus API and MCP access. Positioning emphasizes marketing-team accessibility rather than storefront or marketplace integration. For a comparison page that goes deeper, see our Foglift vs Peec AI feature comparison.

Key specs

• Pricing: $95/month Starter, $245/month Pro, $495/month Advanced, and custom-priced Enterprise
• AI engine coverage: choose three supported models on Starter, Pro, and Advanced; all listed models on Enterprise
• Optimization guidance: tracking-focused
• Build-pipeline integration: API and MCP access are Enterprise features
• Best for: European ecommerce marketing teams that want published self-serve pricing and daily prompt tracking

10. Frase

Frase is the content-team option that has expanded into AI Visibility. Frase publishes Starter at $49/month (1 domain, 10 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. Its first three paid price points overlap with Foglift's Launch and Growth prices, while Foglift Enterprise uses custom pricing. Frase is an article-research and content-brief platform with AI visibility added on, optimized for a content team. Foglift is a dedicated AEO/GEO platform with on-page scoring and developer integration, optimized for engineering and product-led teams. The right answer between the two depends on which team owns AI search at your company.

Key specs

• Pricing: Starter $49/month, Professional $129/month, Scale $299/month, Enterprise custom; 20% annual discount; 7-day free trial
• AI engine coverage: ChatGPT and Google AI on Starter; Perplexity joins on Professional; Claude and Gemini join on Scale
• Optimization guidance: article-research and content-brief layers, plus audit pages
• Build-pipeline integration: API, CLI, and MCP are documented from Starter
• Best for: content-led ecommerce teams where the marketing team owns AI search and the workflow is article-research-first

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). The original pricing review was completed from current first-party pages on September 2, 2026. Azoma and Ecomtent are counted once because Azoma's own documentation identifies Ecomtent as its former brand.

How to evaluate any of these platforms against your own product pages

Vendor demos are designed to make every platform look great. The cleaner test is to run a baseline scan against your own revenue-bearing product pages and walk into the demo with that data. The script below uses the open-source foglift-scan CLI (MIT-licensed, on npm) to return the current Technical Audit score object for any URL: your homepage, your top-revenue PDPs, a competitor's PDP, or the vendor's own pricing page. Run it before every sales call and the conversation starts on different ground.

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

# 1. Baseline Technical Audit on YOUR product page (no API key needed)
npx -y foglift-scan "$URL" --json > "$OUT/aeo.json"

# 2. Print the five public Technical Audit dimensions
node -e '
  const r = require("'"$OUT"'/aeo.json");
  const s = r.scores || {};
  for (const key of ["seo", "aiReadiness", "performance", "security", "accessibility"]) {
    console.log(key.padEnd(18), s[key] ?? "not measured");
  }
'

# 3. Now run the same scan against three competitor PDPs so you have a benchmark
for u in https://competitor-a.com/products/x https://competitor-b.com/products/y https://competitor-c.com/products/z; 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. Azoma layers shopping-agent visibility, product-data enrichment, and commerce-system publishing onto its own platform. Scrunch pairs prompt monitoring and page audits with AXP delivery and lists API and custom MCP access under Enterprise in its browser-rendered comparison. The CLI removes the asymmetry of walking into a demo without your own baseline.

What this list deliberately excludes

• SEO-suite-adjacent AI products. Semrush AI Visibility Toolkit (an add-on to Semrush Pro), Ahrefs Brand Radar (a standalone subscription from $398 to $699/mo, layered on any Ahrefs plan or free account), and Scalenut all ship AI search products on top of an existing SEO platform; the first two are covered in our generic Top 10 AEO/GEO Platforms 2026 guide where the buyer profile is broader than ecommerce. They are not lead choices for an ecommerce-first stack but worth a slot on any incumbent-suite shortlist.
• 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.
• Review-schema and personalization platforms. Yotpo, Nosto, Dynamic Yield ship Schema.org Review and Product markup as part of their core feature surface, but they were not built for generative AI engines and do not score on-page extractability for ChatGPT, Perplexity, or Gemini. They are adjacent infrastructure rather than GEO/AEO platforms.
• Pure brand-mention monitoring tools. Brand24, Mention, Meltwater, and similar tools pre-date the AI-search era and do not cover the marketplace AI surface (Alexa for Shopping, Sparky) or the generative engine surface that this guide measures.

FAQ

Why do ecommerce sites need a dedicated GEO/AEO tool in 2026?

Adobe Analytics measured a 693.4% year-over-year increase in generative-AI referrals to U.S. retail sites during the 2025 holiday season. Those visits converted 31% more often than non-AI traffic across a measurement base of more than 1 trillion visits to U.S. retail sites. Ecommerce teams now need to measure both general answer engines and retailer-owned shopping agents.

What is the difference between an ecommerce GEO tool and a generic GEO tool?

An ecommerce-focused platform may add retailer shopping-agent coverage, product-catalog or PIM integrations, and SKU-level product-data work. Foglift combines general answer-engine monitoring, unlimited single-page Technical Audits, and developer workflows. Azoma focuses on the shopping-agent and product-data side of the market.

Which ecommerce GEO/AEO tools publish their pricing in 2026?

8 of ten in this guide: Foglift (Free / $49 / $129 / custom), Scrunch ($250/month Core in the browser-rendered brand plan, custom Enterprise), Attensira ($129 / $299 / $649), AthenaHQ (free / $295 Starter), Profound ($99/month Starter and $399/month Growth, both billed yearly), Otterly.ai ($29 / $189 / $489), Peec AI ($95 / $245 / $495 / custom), and Frase ($49 / $129 / $299). Azoma and Authoritas use custom or quote-based pricing. Scrunch's public pricing URL currently serves a different Starter and Growth matrix to some crawler-readable clients. This guide uses the browser-rendered brand plan buyers see and records the discrepancy instead of treating either payload as a universal contract.

Which ecommerce GEO/AEO tool is best for Shopify or headless storefronts built with AI coding agents?

Foglift is the strongest fit here when the requirement is unlimited single-page Technical Audits plus REST API, CLI, and MCP access from a $49 plan. Frase also documents API, CLI, and MCP from its $49 Starter plan but caps audits at 50 pages per month. Otterly adds API and MCP at $189, Peec reserves them for Enterprise, and Profound documents MCP while Growth lists no API access.

Which ecommerce GEO/AEO tool tracks Amazon Rufus and Walmart Sparky?

Azoma explicitly covers Amazon Alexa for Shopping, formerly Rufus, Amazon COSMO, and Walmart Sparky alongside general answer engines. Its first-party documentation says Ecomtent was the company's former brand, so the two names are one entry in this comparison.

Do AI-referred shoppers convert at a different rate than organic shoppers?

Adobe Analytics found that AI-referred retail visits converted 31% more often than non-AI visits during the 2025 holiday season. They were also 33% less likely to bounce, spent 45% more time on site, and viewed 13% more pages per visit. These are aggregate channel measurements, not a guaranteed result for any store.

How should an ecommerce team evaluate GEO/AEO tools before a sales call?

Run a baseline foglift-scan against your homepage, three top-revenue PDPs, and a competitor's PDP. The CLI is open-source and returns the current Technical Audit score object with no API key. Compare SEO, AI Readiness, performance, security, and accessibility, then ask the vendor to show how its workflow addresses the weakest measured dimension on your actual pages.

Sources & Further Reading

1. Adobe Analytics, "AI-driven traffic surges across industries" (January 12, 2026). Source for the 2025 holiday retail-traffic, conversion, bounce-rate, time-on-site, and pages-per-visit findings.
2. Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, and Deshpande, "GEO: Generative Engine Optimization" (KDD 2024, arXiv:2311.09735). Introduces GEO-Bench and measures source-level visibility gains of up to 40%, with results varying by domain.
3. Stack Overflow, 2025 Developer Survey: AI. Source for the 84% using-or-planning-to-use figure, based on 33,662 responses to that survey question.
4. Foglift, "Aggregators vs Vendors in AI Search". Source for the 375-response retail/CPG versus tech-SaaS citation comparison used in the ranking rationale.
5. Foglift pricing and developer documentation. Source for Free, Launch, Growth, Enterprise, Technical Audit, API, CLI, and MCP boundaries.
6. Azoma product, engine, integration, rebrand, and pricing facts.
7. Scrunch browser-rendered pricing and plan comparison. Source for the buyer-visible Core and Enterprise pricing; prompt, audit, workspace, user, and engine coverage; the Core trial; AXP; API; and MCP boundaries. The URL also exposes a conflicting Starter/Growth payload to some crawler-readable clients, so this guide does not present that payload as the single current contract. Verified September 2, 2026.
8. Attensira pricing, AthenaHQ plans, Profound pricing, Authoritas APIs, Otterly.ai pricing, Peec AI pricing, and Frase pricing. All vendor facts were rechecked against these first-party pages on September 2, 2026. Pricing can change, so verify 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).