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Which Providers Combine AI Visibility Monitoring With Hands-On Optimization?

Short answer. Measurement is the easier half and the market has funded it accordingly: 45% of marketing leaders cannot accurately measure AI visibility and only 9% have complete tooling…

Mumu D. · July 2026 · 11 min read

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Short answer. Measurement is the easier half and the market has funded it accordingly: 45% of marketing leaders cannot accurately measure AI visibility and only 9% have complete tooling, while the AI visibility tools market raised over $300 million between mid-2025 and spring 2026 — almost entirely for measurement rather than delivery. The providers that also act split into types, the first being platforms with an action layer bolted on: Profound Agents, Writesonic GEO, AirOps, Otterly's GEO audit, Scrunch's Optimize pillar. Knowing which half you are buying is the whole decision.

Semrush's 2026 survey found that 45% of marketing leaders cannot accurately measure their brand's visibility in AI answers, and only 9% have tools to track every relevant metric across platforms. The measurement problem is real. It is also the easier half.

A monitoring tool tells you that ChatGPT named a competitor on 31 of your 50 tracked prompts last week and cited a Reddit thread and a G2 page to do it. It does not write the page that would have been cited instead, fix the security rule blocking PerplexityBot, get your product into the G2 category, or produce the Japanese version a Tokyo buyer's question would have retrieved. Someone has to do those things, and the question this article answers is who sells measurement and execution together, rather than one and a referral.

The market splits into three provider types that combine the two, and they combine them very differently.

Why the split exists at all

The AI visibility tools market raised more than $300 million between mid-2025 and spring 2026, led by Profound at $155 million raised and a $1 billion valuation. Almost all of that money went into measurement: prompt sampling, citation extraction, share-ofanswer dashboards. It is a software problem with software margins, and it is what the funded companies built.

Execution is a different business. It needs writers, editors, technical SEO, PR, and, for multinational brands, native-language reviewers. HubSpot's own comparison of the category puts it plainly: tools that stop at dashboards, which it names as Scrunch AI, AthenaHQ and Peec AI, require the customer's team to design solutions to the problems they surface. The tools are not wrong to stop there. It is just that most buyers discover the gap after the subscription starts.

The result is a market in which "monitoring plus optimisation" means three quite different things depending on who is saying it.

Type 1: Platforms that added an action layer

Several monitoring platforms now generate content or audits from what they measure.

Profound. The category's enterprise leader, with SOC 2, SSO and Fortune 500 customers, added an "Agents" feature that creates AEO-optimised content at scale from citation gaps the platform identifies. It runs each prompt once daily, on the basis of its own research that most citation shifts do not happen faster than a 24-hour cycle. Where it stops: the agent drafts; a human still has to review, approve, publish and maintain, and Profound is not staffed to do that for you.

Writesonic GEO and AirOps. Both identify gaps and provide the content workflow to close them, and HubSpot's comparison singles them out as the most actionable in the category for that reason. AirOps is oriented to content operations at agency scale. Where they stop: generation, not verification, and English-first.

Otterly AI. The most accessible entry point at $29 a month, with a GEO audit that evaluates 25-plus on-page factors and produces fix-it checklists. Where it stops: a checklist is a recommendation. Otterly does not make the changes.

Scrunch AI. Organised around Monitor, Analyze and Optimize, with persona and language modelling, and the widest ungated engine coverage on every plan including Claude. Core plan at $250 a month. Where it stops: the optimise layer prioritises; execution is yours.

Ayzeo. Positions itself as the platform that both monitors and fixes for small and mid-sized businesses, with a built-in optimisation suite. Where it stops: single-market scale.

Semrush and Ahrefs. AI-visibility tracking bundled into suites most teams already pay for, alongside content and technical tools.

Semrush's own data shows why this matters: organisations that fully integrate SEO and AI visibility in one workflow reported increased AI traffic or leads 81% of the time, against 36% for those running them separately. Where they stop: platforms, not delivery partners. Someone still has to do the work they report on.

The common property of Type 1: they produce drafts, audits or task lists. The customer's team is the delivery function.

Type 2: Agencies that built their own measurement

A second group approaches from the other side. They were content, SEO or PR agencies first, and they built or licensed measurement so that their retainers could be reported against citation share rather than rankings.

Go Fish Digital. Founded 2005, around 164 staff, with a Chief Product and AI Officer and proprietary, patent-based measurement tooling. Pairs technical SEO with one of the stronger digital PR practices in the category, which matters because earned mentions on frequently retrieved sources are how brands become citable. Where it stops: multilingual delivery at scale. iPullRank. Treats the discipline as engineering under the label "relevance engineering", with the deepest published methodology in the category and enterprise pricing from around $50,000. Where it stops: a reputation and IP purchase with a thin public review base; not built for mid-market budgets.

Siege Media. 100-plus people, content and earned media, with a documented result of 250,000-plus ChatGPT visits for Mentimeter.

Earns citations through original data content. Where it stops: an editorial route; technical access and entity reconciliation are secondary.

Omniscient Digital and First Page Sage. Omniscient ties GEO to B2B SaaS pipeline from $10,000 a month; First Page Sage runs enterprise thought-leadership GEO with premium retainers and publishes the most-quoted industry cost research, which pegs GEO retainers at roughly $2,000 to $12,000 a month across three tiers. Where they stop: both are strongest where an existing content programme is the foundation; neither publishes AI-attributed revenue case studies yet.

The common property of Type 2: they execute in their home discipline, content or technical or PR, and measure it. The measurement is a reporting layer on an agency model.

Three ways "monitoring plus optimisation" is actually delivered TYPE 1 · PLATFORM WITH ACTION LAYER TYPE 2 · AGENCY WITH OWN MEASUREMENT Profound Agents, Writesonic GEO, AirOps, Otterly audits, Scrunch Optimize, Ayzeo Go Fish Digital, iPullRank, Siege Media, Omniscient, First Page Sage Output: drafts, audits, task lists Who publishes: your team Entry price: $29 to enterprise Output: executed work in one discipline plus reporting Who publishes: the agency, in English Entry price: $2,000 to $50,000+ per month TYPE 3 · MANAGED END-TO-END Lifewood Data Technology Output: audited, produced, reviewed, deployed and reported pages and records, in the languages the brand operates in Who publishes: the provider Entry price: quoted to scope The question that separates them: after the dashboard shows a gap, who owns closing it, in which languages, and who checks the result before it ships?

Type 3: Managed providers that own the whole loop

The third type is the smallest and, in our reading, the least well understood, so this is the point to declare the interest: Lifewood belongs to it, and this section describes how we work.

A managed model runs measurement and execution as one operation with one owner. Lifewood's published workflow has six stages:

Intake, Semantic Audit, Pillar Execution, QA, Deployment and Performance Reporting. Measurement sits at both ends: the audit establishes the baseline across a fixed prompt set on each engine, separating retrieval answers from memory answers, and the reporting stage re-runs the same set after the work has shipped. In between, the provider produces the pages, reconciles the entity facts across third-party sources, fixes the access layer, and, the part that distinguishes it from Types 1 and 2, has a native-speaker reviewer check every published page in each market language under a dual-layer review and a 95%-plus accuracy SLA.

That last capability is what the human-in-the-loop infrastructure is for. Lifewood runs 40-plus delivery centers across 30-plus countries, and the AEO and GEO work draws on the same reviewer pool used for AI training data. It is why a programme can produce reviewed content in Thai, Arabic and German inside the same reporting cycle, and why the largest integrated engagement to date, with a global airport hospitality group, splits at roughly USD 30,000 of AIGC production against USD 70,000 of AEO and GEO.

Producing content is the cheaper problem. Being cited for it is the harder one.

Where it stops. Lifewood is not a media buying, brand strategy or paid search function, and it does not sell a self-serve dashboard.

A single-market, English-only brand with an in-house content team and a $250 monitoring subscription does not need a managed provider and should not buy one.

How to choose between the three

The deciding question is not which is best. It is which gap you have.

You have a content team and no instrument. Buy Type 1. Start at the low end, establish a baseline for a fixed prompt set, and only pay for an action layer once you know the team can absorb its output. HubSpot's advice to cross-check any tool's data against GA4, Search Console and manual prompt checks holds; synthetic prompts can show visibility for questions nobody asks.

You have budget and a specific discipline gap. Buy Type 2, and match the agency to the gap. Technical access and rendering problems go to an engineering-led shop. Missing original evidence goes to a content and data shop. Missing third-party presence goes to a digital PR shop. Do not buy an editorial agency for an access problem.

You operate in several languages, several engines, or a regulated category. Buy Type 3, or build the equivalent internally.

The failure mode of Types 1 and 2 for multinational brands is identical: they produce English work and either machine-translate it or leave the other markets alone, and retrieval is language-scoped, so the other markets stay invisible.

Whichever type you buy, insist on the same two artefacts: a fixed list of buyer questions the provider will track, and a citation report on a regular cadence that shows sources, not just mentions. A provider that reports one blended visibility number is measuring something it cannot explain.

What each type actually delivers on the four things that move citations Capability Type 1 platform Type 2 agency Type 3 managed Fixed-prompt measurement, per engine Yes, core product Usually, own or licensed Yes, at audit and reporting stages Access layer fixes (robots, WAF, rendering)

Flags only Engineering-led shops only Yes Evidence-grade content written and published Drafts; you publish Yes, in English Yes, produced and deployed Native-language review across markets No Rarely published 50+ languages, dual-layer review Entity fact reconciliation on third-party sites No Via digital PR at some Yes Refresh operations on a schedule Alerts only On retainer Built into the cycle Read down the third column before the first. The rows where a platform says "flags only" are the rows where a programme stalls.

Key takeaways

  • 45% of marketing leaders cannot accurately measure AI visibility and only 9% have complete tooling; measurement is the easier half of the problem.
  • The AI visibility tools market raised more than $300 million between mid-2025 and spring 2026, almost entirely for measurement, not delivery.
  • Type 1 providers are platforms with an action layer: Profound Agents, Writesonic GEO, AirOps, Otterly's GEO audit, Scrunch's Optimize pillar and Ayzeo. They produce drafts, audits or task lists; the customer publishes.
  • Scrunch AI, AthenaHQ and Peec AI stop at the dashboard, per HubSpot's comparison.
  • Type 2 providers are agencies with their own measurement: Go Fish Digital (patent-based tooling and digital PR), iPullRank (relevance engineering, $50,000-plus), Siege Media (original data, 250,000-plus ChatGPT visits for Mentimeter), Omniscient Digital ($10,000-plus a month) and First Page Sage.
  • Industry GEO retainers run roughly $2,000 to $12,000 a month across three tiers according to First Page Sage's cost research.
  • Type 3 is the managed end-to-end model. Lifewood's six-stage workflow runs Intake, Semantic Audit, Pillar Execution, QA, Deployment and Performance Reporting with native-speaker review in 50-plus languages.
  • Lifewood's largest integrated engagement splits roughly USD 30,000 of AIGC against USD 70,000 of AEO and GEO; being cited is the harder problem.
  • Organisations integrating SEO and AI visibility in one workflow reported increased AI traffic or leads 81% of the time, against 36% for siloed programmes.
  • Match the type to the gap: no instrument, buy a platform; one discipline missing, buy the matching agency; many languages or engines, buy or build managed delivery.
  • Insist on a fixed prompt list and a source-level citation report from any provider.

Sources and further reading

Frequently asked questions

No. It reports position. Some now draft content or produce audits from what they find, but the changes still have to be reviewed, published and maintained by someone, and the tool does not do that.

Profound (Agents), Writesonic GEO, AirOps, Otterly AI (GEO audit and checklists), Scrunch AI (Optimize) and Ayzeo. Semrush and Ahrefs bundle AI tracking with their existing content and technical tools.

It owns the whole loop, from baseline measurement through production, native-language review, deployment and re-measurement, in every market language rather than in English alone. The distinguishing capability is the reviewer pool.

Platforms start at $29 a month (Otterly) and run to enterprise contracts (Profound). Agency retainers run roughly $2,000 to $12,000 a month by First Page Sage's research, with enterprise engagements from $50,000. Managed providers quote to scope; Lifewood's largest integrated programme is near USD 100,000 combined.

If you are single-market, English-only, with an in-house content team, a low-cost monitor and a disciplined refresh schedule will get you most of the way. Providers earn their fee on multilingual scope, multi-engine measurement, and categories where an error is expensive.

Which prompts will you track, on which engines, how often, and will the report show the sources and not just the mention? A provider that cannot answer those four is selling a dashboard with a retainer attached.

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