A·K
← All tools
The selection guideSource-backed research ↗
AI Search Monitoring / AI visibility monitoring and GEO action-planning platform

Maxeo

AI visibility monitoring, sentiment analysis, and GEO action planning

AI visibility monitoringSource and sentiment analysisGEO action planning
Why it stands out

Clear prompt-based AI visibility workflow with four named surfaces.

Source review: · Public-source research, not a hands-on test

↗ Best for

Marketing, content, and communications teams monitoring recurring AI-answer visibility.

! Know before you buy

No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversion, pipeline, or revenue impact.

01 / Editorial assessment

Is Maxeo for you?

The AICiteKit take

Maxeo is a credible new GEO shortlist candidate for teams that want monitoring and action planning in one workflow. Official pages document a $350 Growth plan, 100 queries / 1,300 prompts, four named AI surfaces, alerts, a quarterly audit, unlimited seats, and an Enterprise boundary. The evidence is stronger for identity, advertised scope, and pricing than for efficacy: no representative customer-rating sample, controlled benchmark, or hands-on test was found, and vendor testimonials remain selected evidence. Consider Maxeo for a pilot, but require raw answers, citations, model/version coverage, fixed-prompt measurement, retention, export/API terms, and a design that separates visibility observations from traffic or revenue impact.

A good fit if you are…

  • Marketing, content, and communications teams monitoring recurring AI-answer visibility.
  • Teams wanting source, sentiment, technical-readiness, and content actions in one workflow.
  • Buyers able to maintain a fixed prompt panel and review generated recommendations.
  • Agencies or leadership teams needing custom reporting, subject to confirming workspace and white-label terms.

Consider another option if…

  • Solo buyers seeking a permanent free tracker.
  • Researchers needing public collection protocols, model versions, confidence intervals, or raw datasets.
  • Buyers requiring independently benchmarked citation accuracy or causal ROI.
  • Teams needing a documented public API and detailed language matrix before a sales conversation.

02 / Scope, not promises

Features & coverage

Named AI surfaces

ChatGPT, Perplexity, Google AI Overview, and Claude are named on the official workflow page.

Archived research · Research dated 2026-10-22; confirm exact model versions and regionsResearch excerpt · Prompt-based AI visibility monitoring
GEO workflow

Define prompts, inspect AI responses and sources, compare competitors and sentiment, audit technical readiness, and prioritize content or authority actions.

Archived research · Research dated 2026-10-22; confirm contracted modulesResearch excerpt · How the workflow works
Enterprise boundary

Custom Enterprise adds customized reports, custom AEO strategy, and dedicated specialist support.

Archived research · Research dated 2026-10-22; request written scopeResearch excerpt · Pricing and limits

Prompt-based visibility monitoring

Maxeo names ChatGPT, Perplexity, Google AI Overview, and Claude and describes configurable prompt tracking, share of voice, sentiment, and competitor analysis. The public packet does not disclose complete model versions or sampling.

Archived research context ↗

Sources, sentiment, and technical readiness

The platform says it identifies sources influencing AI representation, measures sentiment, and audits robots.txt, sitemaps, metadata, structured data, and related signals. These support planning, not a guarantee that a source will be cited or a fix will change AI answers.

Archived research context ↗

Content actions and reporting

Official materials describe Content Studio for articles, FAQs, and supporting pages and a Data Studio connection for custom reports. Publishing permissions, API access, white-label scope, and approval controls remain procurement questions.

Archived research context ↗

Commercial and evidence boundary

Growth is publicly priced at $350/month and Enterprise is custom. The public packet does not establish a complete quota, model, retention, raw-export, or accuracy contract; run a fixed-prompt pilot before relying on the metrics.

Archived research context ↗

A focused evaluation workflow
  1. Define the brand and a fixed prompt set, using or editing Maxeo's default queries.
  2. Run the configured AI platforms and inspect inclusion, sentiment, competitors, and sources.
  3. Review technical readiness and content gaps.
  4. Prioritize content, FAQ, authority, or source-engagement actions.
  5. Connect reporting and repeat the same panel over time.
  6. Compare observations with analytics without treating correlation as causal proof.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-10-22 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Growth pricing and allowance

Growth is listed at $350/month with 100 queries / 1,300 prompts; a 50% first-month offer is displayed.

Archived research · Research dated 2026-10-22; confirm unit relationship and overageResearch excerpt · Pricing and limits
Enterprise boundary

Custom Enterprise adds customized reports, custom AEO strategy, and dedicated specialist support.

Archived research · Research dated 2026-10-22; request written scopeResearch excerpt · Pricing and limits
Independent feedback

No representative customer-rating sample, controlled benchmark, or hands-on product test was found; third-party profiles provide directional context only.

Archived research · Independent evidence checked 2026-10-22Research excerpt · User feedback and evidence quality
Your buying checklist

Get these answers first.

  • Which exact models, versions, surfaces, countries, languages, and prompt samples are included?
  • How do 100 queries and 1,300 prompts relate, and how are refreshes and overages counted?
  • Can buyers export complete answers, citations, timestamps, prompts, and model metadata?
  • Which API, Data Studio, white-label, workspace, retention, and approval controls are included?
  • Which Content Studio actions are included in Growth versus Enterprise, and what human services are separate?

Pricing context & qualifications

Research checked 2026-10-22. Growth is listed at $350/month with 100 queries / 1,300 prompts and a 50% first-month offer; Enterprise is custom. Confirm the relationship between query and prompt units, refresh and overage rules, model/market scope, retention, export/API, reporting, and cancellation.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • Clear prompt-based AI visibility workflow with four named surfaces.
  • Public Growth price and allowance signals.
  • Connects source discovery, sentiment, technical readiness, and content actions.
  • Data Studio reporting and Enterprise specialist/reporting boundary are publicly described.
  • Third-party profiles corroborate the product's AI-visibility positioning.

Reasons to pause

  • The public packet does not disclose model versions, location/language methodology, or sampling protocol.
  • The relationship between 100 queries and 1,300 prompts requires confirmation.
  • API, raw export, retention, white-label, and workspace boundaries are not public.
  • No representative rating sample or controlled efficacy study was found.
  • Testimonials and the 200+ brands claim are vendor-selected evidence.

No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversion, pipeline, or revenue impact.

05 / Choose by the job

Alternatives to consider

Editorial fit comparisons—not performance rankings or claims that one option always wins.

Another direction / 01

Peec AI ↗

Focused recurring AI-search visibility and citation-gap monitoring is preferred.

Another direction / 02

Profound ↗

Enterprise answer-engine intelligence and reporting are preferred.

Another direction / 03

Brandlight ↗

Enterprise visibility and source-influence analytics are preferred.

Another direction / 04

AthenaHQ ↗

Brand-accuracy monitoring and public plan detail are preferred.

06 / What we can substantiate

Reviews & evidence

No meaningful public customer-rating sample, controlled benchmark, or hands-on product test was found. WhyThis provides directional product context and Authoritas provides a competitor-authored comparison, but neither validates measurement accuracy or causal outcomes. Client logos, testimonials, and the 200+ brands statement remain vendor-selected.

AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.

Sources & original verification dates

SourceEvidence typeChecked
Maxeo official product page ↗Official product page; workflow, platforms, features, reporting and testimonials
Maxeo pricing ↗Official pricing page; plan, allowance and Enterprise terms
WhyThis Maxeo profile ↗Third-party editorial product context; not a controlled test
Authoritas Maxeo comparison ↗Competitor-authored comparison; undisclosed-feature and procurement context
CitedIndex Maxeo listing ↗Directory discovery source; not quality evidence

Original review evidence & date context

Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.

Evidence checked 2026-10-22. Official pages support product identity, four named AI surfaces, configurable prompts, source and sentiment analysis, AI-readiness checks, content actions, reporting, and displayed pricing. WhyThis and Authoritas provide directional third-party context, not controlled validation. No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversions, pipeline, or revenue.

Pilot checks

  1. Export raw answers, citations, prompts, timestamps, model/version, market, and language.
  2. Recalculate share of voice and sentiment on a fixed panel and manually inspect sources.
  3. Reconcile query/prompt allowance, refresh, overage, retention, API, Data Studio, and white-label terms.
  4. Separate technical/content recommendations from managed outreach or publishing services.
  5. Compare observations with analytics without causal inference.
Research notes & unresolved discrepancies
  • Official product and pricing pages checked 2026-10-22.
  • WhyThis and Authoritas were used for third-party positioning and procurement context, not product validation.
  • No public customer-rating sample, controlled benchmark, or hands-on test was found.
  • CitedIndex was used for discovery only.

Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.