ShareOfAsk Review (2026): GEO Pricing, Pros & Cons

GEO · GEO Brand Tracking & LLM Rank TrackingActiveEvidence-Ledger Verified
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Bottom line

ShareOfAsk is a Web SaaS tool for GEO (GEO Brand Tracking & LLM Rank Tracking) in GEO & AI SEO. Pricing: Free plan · $49–$1,990/mo · Enterprise plan. Editor ratings: AI autonomy L2 (workflow copilot); moat score 1.7/5.0 (Thin wrapper). Fact-checked by MarTechRadar Research Desk on Oct 28, 2026.

AI search visibility platform tracking brand mentions, citations, and share of voice across ChatGPT, Claude, Gemini, Perplexity, Grok, and AI Overviews.

Is ShareOfAsk worth it in 2026? Buyer fit & when to walk away

Choose ShareOfAsk if (Best Fit)

  • Target ICP & Stack Fit: You operate as GEO teams requiring a Web SaaS deployment for GEO, with verified ecosystem connectivity for Model Context Protocol (MCP).
  • L2 Architecture & Defensibility: Anchors every AI visibility metric to archived answer-level evidence across seven LLM and search surfaces while exposing questions, citations, and action analyses via an OAuth MCP server.
  • Commercial Model Fit: Your procurement budget aligns with Free plan · $49–$1,990/mo · Enterprise plan and want a self-serve free tier for zero-cost initial validation.

Walk away from ShareOfAsk if (Deal-Breakers)

  • Walk away if your workflow requires uncapped enterprise volume on the Free plan · $49–$1,990/mo · Enterprise plan entry plan without upgrading tiers.
  • Walk away if your workflow cannot tolerate question & model quota bottlenecks: Because daily multi-model prompt execution incurs upstream inference overhead, self-serve plans enforce caps on active questions (25 on Starter, 100 on Growth) and AI models per workspace (up to 3 on Starter and 4 on Growth), requiring Enterprise contracts for seven-engine coverage.
  • Walk away if no automated CMS publishing writeback is a deal-breaker for your team: ShareOfAsk generates evidence-linked Action Analyses and exposes them via its MCP server, but lacks direct CMS writeback to push schema edits or publish articles into WordPress, Webflow, or Shopify without human or external agent execution.

ShareOfAsk pricing, free plan & scorecard at a glance

ShareOfAsk commercial, technical, and corporate scorecard
PricingFree plan · $49–$1,990/mo · Enterprise planVendor pricing page
Free planYes
DeliveryWeb SaaS
Audience—
AI autonomy levelL2 · Workflow copilotEditor-verified
Moat tier & score1.7 / 5.0 · Thin wrapperEditor-verified
FundingBootstrapped
Company size2-10 employees
Ecosystem integrationsModel Context Protocol (MCP)
HeadquartersSzczecin, Poland
Founded2026
Last verifiedOct 28, 2026

ShareOfAsk pros & cons: strengths vs. operational limitations

Pros: core strengths & capabilities

  • Daily scheduled prompt snapshots: across ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews, and AI Mode
  • Four standardized GEO metrics: (AI Presence, Competitive Share of Voice, Question Coverage, Average First Position) linked to raw answers
  • Evidence-backed Action Analyses: that convert citation and sentiment gaps into concrete optimization steps
  • Multi-client agency workspaces and: an OAuth-enabled Model Context Protocol (MCP) server on every plan

Cons: operational limitations & risks

  • Question & Model Quota Bottlenecks: Because daily multi-model prompt execution incurs upstream inference overhead, self-serve plans enforce caps on active questions (25 on Starter, 100 on Growth) and AI models per workspace (up to 3 on Starter and 4 on Growth), requiring Enterprise contracts for seven-engine coverage.
  • No Automated CMS Publishing Writeback: ShareOfAsk generates evidence-linked Action Analyses and exposes them via its MCP server, but lacks direct CMS writeback to push schema edits or publish articles into WordPress, Webflow, or Shopify without human or external agent execution.
  • LLM Sampling Variance & Model Drift: Non-deterministic sampling latency and model drift across commercial LLMs cause day-to-day fluctuations in citation order, requiring longitudinal tracking across the 12-month history window rather than reacting to single-day swings.
AI Procurement Red-Teamer · Evidence-Locked Dossier

ShareOfAsk TCO & deal-breaker stress test

Simulate 12-month stepped TCO, hidden cost multipliers, contract lock-in exposure, and stack failure modes using only facts verified by MarTechRadar Research Desk on 2026-10-28 · Capture SHA eb90b7f5.

Verify Official Pricing Page ↗
1. Team / Seat Scale
2. Monthly Budget Ceiling
3. Primary GTM / Data Stack
4. Procurement Guardrail
Low Procurement Risk · Strong Fit

ShareOfAsk aligns with your 5-seat / $800/mo profile. Review the walk-away triggers and contract levers below before deployment.

Estimated Floor (5 Seats · Growth)$199 / mo ($2,388 / yr on Growth)Stepped to Growth ($199/mo) for 5-seat team capacity (entry tier starts at $49/mo).
Fits within $800/mo cap (25% of ceiling at base floor)
Moat Score
1.7 / 5.0
AI Autonomy
L2
Free Tier / Trial
Free plan

Triggered audit signals & failure modes

  • Published Self-Serve Entry FloorVerified Pricing Ledger

    ShareOfAsk publishes a transparent entry point (Free plan · $49–$1,990/mo · Enterprise plan) with a free tier for initial validation before committing.

  • Tier Fit for 5-Seat Scale: Growth ($199/mo)Verified Tier Schedule

    Verified $199/mo Growth tier from vendor pricing schedule.

  • Primary Operational Bottleneck: Question & Model Quota BottlenecksAudit by MarTechRadar Research Desk

    Because daily multi-model prompt execution incurs upstream inference overhead, self-serve plans enforce caps on active questions (25 on Starter, 100 on Growth) and AI models per workspace (up to 3 on Starter and 4 on Growth), requiring Enterprise contracts for seven-engine coverage.

Scenario Stress-Test · Evidence-Bound RAG

Test a custom ShareOfAsk budget or stack constraint

Verified GEO alternatives for this spec:
CitationWatchFrom $149/moMoat 1.3/5.0L2

Lower 5-seat floor (~$149/mo vs. $199 / mo)

Peec AI$95–$495/mo · Enterprise planMoat 3.9/5.0L2

Lower 5-seat floor (~$95/mo vs. $199 / mo)

ShareOfAsk integrations, API, security & compliance stack

Ecosystem & CRM integrations:

ShareOfAsk AI moat & GEO positioning

Anchors every AI visibility metric to archived answer-level evidence across seven LLM and search surfaces while exposing questions, citations, and action analyses via an OAuth MCP server.

ShareOfAsk GEO Positioning Quadrant and 5-Axis Capability Radar Chart (Moat Score 1.7/5.0, Autonomy L2)
GEO Positioning Quadrant & Capability Radar: ShareOfAsk plotted at Moat Score 1.7/5.0 and Autonomy L2 against 8 editor-verified subtrack peers.

ShareOfAsk in-depth review, pricing & architecture analysis

Audited by MarTechRadar Research Desk (Evidence-Ledger Verified) on Oct 28, 2026.

What is ShareOfAsk? Overview & background

### What ShareOfAsk actually does When B2B and consumer buyers ask AI assistants for software recommendations, marketing teams rarely see whether their brand was named, how it was framed, or which third-party domains supplied the citations. ShareOfAsk (shareofask.com), a bootstrapped platform founded in 2026 in Szczecin, Poland with 2–10 employees, provides L2 AI search visibility tracking for growth teams and agencies. The platform queries major AI assistants with buyer-intent questions, archives every full response, and translates brand mention and citation patterns into prioritized optimization actions.

How ShareOfAsk works: architecture & workflow

### How the multi-model snapshot & MCP architecture operates Core Mechanism: ShareOfAsk executes daily scheduled snapshots across seven AI answer surfaces: ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews, and Google AI Mode. For each recorded response, the parser extracts whether the target brand appears, which competitors are listed and in what sequence, brand sentiment, and external URLs cited. Rather than hiding calculations behind opaque composite scores, ShareOfAsk publishes an open methodology centered on four verifiable metrics—AI Presence, Competitive Share of Voice, Question Coverage, and Average First Position—where every figure links back to the archived answer text. An Action Analysis engine synthesizes snapshots into structured recommendations with supporting evidence and suggested content fixes. Every plan includes an OAuth-authenticated Model Context Protocol (MCP) server so teams can query visibility metrics, citations, and action items inside their own AI assistants.

How ShareOfAsk works: GEO system workflow, AI agent control plane, and CRM integration architecture
System Workflow & Operational UI Blueprint: How ShareOfAsk orchestrates agent control plane, 4-stage execution sequence, and stack governance.

ShareOfAsk limitations, drawbacks & risks

### Where the platform hits operational limits

Operational considerations and platform boundaries include:

  • Question & Model Quota Bottlenecks: Because daily multi-model prompt execution incurs upstream inference overhead, self-serve plans enforce caps on active questions (25 on Starter, 100 on Growth) and AI models per workspace (up to 3 on Starter and 4 on Growth), requiring Enterprise contracts for seven-engine coverage.
  • No Automated CMS Publishing Writeback: ShareOfAsk generates evidence-linked Action Analyses and exposes them via its MCP server, but lacks direct CMS writeback to push schema edits or publish articles into WordPress, Webflow, or Shopify without human or external agent execution.
  • LLM Sampling Variance & Model Drift: Non-deterministic sampling latency and model drift across commercial LLMs cause day-to-day fluctuations in citation order, requiring longitudinal tracking across the 12-month history window rather than reacting to single-day swings.

ShareOfAsk pricing, plans & cost breakdown

### Pricing & workspace tiers

Commercial Model: ShareOfAsk provides a credit-card-free diagnostic scan alongside monthly and annual subscriptions (saving $98/year on Starter and $398/year on Growth):

  • Free Scan ($0, One-Time): 10 buyer questions across 3 AI models (OpenAI, Anthropic, Google) with 1 action analysis, MCP access, and 7-day sharing.
  • Starter ($49/month or $490/year): 1 workspace, daily snapshots for up to 25 active questions, up to 3 AI models, 1 action analysis/month, 12-month history, 3 team members, CSV export, and MCP access.
  • Growth ($199/month or $1,990/year, Most Popular): 3 workspaces, up to 100 active questions, up to 4 AI models per workspace, up to 4 action analyses per workspace/month (12 max), full history, and 10 team members.
  • Enterprise (Custom): Custom workspace, question, and model limits with manual invoicing.
Plan / Tier Verified Price & Billing Target Seat / Scale Fit Included Scope & Contract Terms
Free / Sandbox $0 1–2 seats (Evaluation) Entry free tier with capped usage or feature quotas for initial workflow testing.
Starter $49/mo 1–2 seats Verified $49/mo Starter tier from vendor pricing schedule.
Growth $199/mo 5 seats Verified $199/mo Growth tier from vendor pricing schedule.
Enterprise / Custom Custom quote 15–50+ seats (Enterprise SLA) Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA.
Contract Watchout: Credit & Usage Burn Multiplier Workflows on ShareOfAsk consume metered credits or usage quotas; voice/media minutes, multi-step synthesis, or high-frequency runs can exhaust base allocations and trigger mid-cycle top-up packs.

How ShareOfAsk compares vs. competitors & alternatives

### How ShareOfAsk compares to GEO tracking peers

Competitive Landscape: Within CAT-03-01 (*GEO Brand Tracking & LLM Rank Tracking*), ShareOfAsk competes with Profound, Peec AI, and AthenaHQ.

  • Profound targets enterprises with higher-cost custom contracts and CDN log analytics, whereas ShareOfAsk offers self-serve entry at $49/month with a free 10-question scan and MCP access on every tier.
  • Peec AI and AthenaHQ provide multi-LLM rank dashboards, while ShareOfAsk pairs a public four-metric methodology with OAuth MCP integration so agencies pull live citation data into Claude or Cursor.
  • Best fit: B2B SaaS marketers and SEO/GEO agencies seeking answer-level citation tracking and MCP-connected action workflows.

Frequently asked questions about ShareOfAsk

How much does ShareOfAsk cost in 2026?

ShareOfAsk pricing: Free plan · $49–$1,990/mo · Enterprise plan. A permanent free plan is available. Published tiers: Free / Sandbox ($0); Starter ($49/mo); Growth ($199/mo); Enterprise / Custom (Custom quote). ### Pricing & workspace tiers Commercial Model: ShareOfAsk provides a credit-card-free diagnostic scan alongside monthly and annual subscriptions (saving `$98/year` on Starter and `$398/year` on Growth): Free Scan (`$0`, One-Time): 10 buyer questions across 3 AI models (OpenAI, Anthropic, Google) with 1 action analysis, MCP access, and 7-day sharing.

What are the top ShareOfAsk alternatives in GEO?

Verified GEO alternatives include Senso (Pricing not disclosed), GeoRank (Custom / enterprise pricing), Plynt (Custom / enterprise pricing), CitationWatch (From $149/mo). ### How ShareOfAsk compares to GEO tracking peers Competitive Landscape: Within `CAT-03-01` (*GEO Brand Tracking & LLM Rank Tracking*), ShareOfAsk competes with Profound, Peec AI, and AthenaHQ.

Verified sources & evidence trail

ShareOfAsk alternatives

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