Pew Research found that users who saw an AI summary clicked a traditional result in 8% of visits, versus 15% without one. Your visibility is being decided inside the answer, not on the results page. So who do you trust to measure it? Here is how to vet AI search visibility monitoring vendors when one contender is an agency and the other is a free audit tool.
These two are not the same kind of vendor
Start here, because most comparison pages skip it. Netpulse and the free audit tool it is often compared with sit in different categories, and putting them in one feature matrix would mislead you.
Netpulse AG is a digital marketing agency in Winterthur, Switzerland. According to its own press release, it was founded in 2009. It combines SEO and Google Ads management with generative engine optimization. It also builds its own measurement tools to track brand appearances in ChatGPT, Perplexity and Google AI Mode.
The second vendor is software. Its public site describes a free audit tool that checks SEO, speed, security, accessibility and AI search readiness (GEO, AEO and LLMO). It positions itself as a complement to an existing SEO workflow.
One is a service with proprietary instrumentation. The other is a self-serve audit. Neither is, on the evidence of those pages, a prompt-level monitoring platform in the way Profound or Peec AI are marketed. That distinction matters before you spend a dollar.
Auditing whether your site is ready for AI search is a different job from monitoring whether AI engines actually name your brand. Buy for the job you have.
Audit versus monitoring: the question you must answer first
An audit looks at your site. It flags schema gaps, slow pages and thin content. It tells you about readiness.
Monitoring looks at the engines. It runs prompts, records which brands get cited and tracks that over time. It tells you about outcomes.
Plenty of teams buy the first and assume they got the second. We broke down that confusion in our piece on AI visibility versus site audit tools. The short version: a high readiness score does not guarantee a single citation.
So ask yourself a blunt question. Do you need to know what to fix, or whether the fixes worked? Most mid-size brands need both, and that is where stacking tools can go wrong.
What each vendor gives you, and what it leaves open
Netpulse: depth in a niche, with a self-reporting problem
The interesting claim in the Netpulse release is about multilingual markets. The agency says brand visibility inside AI answers can vary from one Swiss language region to another. If you sell across German, French and Italian audiences, that is a real operational concern. Global dashboards rarely split results that finely.
The release also says companies that rank well in classic organic results do not always appear in AI answers. That matches what many practitioners see, and it is a useful hypothesis to test on your own category.
Now the caution. The same release is labeled as an advertorial on the publisher’s page, and the findings come from the agency’s own tooling. The release, as published, gives no sample size, prompt count or methodology. Treat it as a vendor’s perspective, not independent research. That is not a knock on the work. It is a reason to ask for the method before you sign.
The free audit tool: low-cost entry, narrow scope
A free audit lowers your risk of trying it. You can run it on a staging site or a competitor-adjacent property and see whether the recommendations are specific or generic. That is a fair first test.
What the public page does not show is any engine-by-engine citation tracking, prompt libraries or share-of-voice reporting. If those exist behind the login, ask for a demo. If they do not, you are buying an auditor, not a monitor. Neither outcome is bad. Just do not confuse them.
A vetting checklist you can use this week
Whichever vendor you evaluate, press on the same points. Here is the list I would hand a procurement lead.
- Prompt set ownership. Who chooses the prompts, and can you supply your own? Vendor-picked prompts flatter the vendor.
- Engine coverage. Which of ChatGPT, Perplexity, Gemini, Claude and Google AI Mode are tracked, and how often?
- Repeatability. AI answers vary run to run. Ask how many samples sit behind each data point.
- Market and language splits. Can results be segmented by country and language, not just aggregated?
- Outcome linkage. Can visibility be tied to sessions, leads or revenue? Netpulse says it connects appearances to conversion tracking. Ask to see an anonymized example.
- Error handling. What happens when an engine states something false about your brand? We covered that angle in vetting error detection claims.
- Exit terms. Can you export your historical data if you leave? Our guide to agentic AI vendor vetting covers exit clauses in detail.
Notice what is not on the list: a single composite score. Be wary of any 0-100 number you cannot decompose. Our review of the AI Mindshare Suite makes the same point about consideration scores.
Why the measurement stakes are high
The Pew analysis covered 68,879 unique Google searches from a panel of 900 users. Pew found that links inside the AI summary itself were clicked in just 1% of visits to pages with such a summary. Think about what that means for reporting. If your analytics lean on referral traffic, you will undercount influence badly. A brand can be named in thousands of answers and see almost no click trail.
This is the strongest argument for dedicated monitoring over audits alone. Your readiness can be perfect while your presence in the answer is zero. It is also why influencer and creator content matters here. Engines pull from third-party mentions, and that is a brand-awareness question as much as an SEO one.
If clicks undercount AI influence, the vendor you pick has to prove its measurement logic, not just show you a chart.
Agency, tool, or both?
An agency like Netpulse makes sense when you need interpretation, local-language nuance and implementation, and you are willing to accept some opacity in the tooling. A self-serve audit tool makes sense when you need a cheap baseline and an internal team to act on it.
Running both is common, but watch for overlap and cost creep. If you are already weighing a suite against specialists, our suite versus specialist analysis gives a decision frame.
One practical test beats any demo. Pick ten prompts your buyers actually use. Run them manually across three engines this week and log which brands appear. Then ask each vendor to reproduce your results. The one that matches reality, and explains the gaps, earns the shortlist.
FAQs
Are Netpulse and the free audit tool direct competitors?
Not on the evidence of their public pages. Netpulse is a Swiss agency that offers SEO, Google Ads and generative engine optimization services supported by its own measurement tools. The other vendor presents itself as a free website audit tool covering SEO and AI search readiness. They overlap on topic but not on delivery model.
Does an AI SEO audit replace AI visibility monitoring?
No. An audit evaluates your site’s technical and content readiness. Monitoring records whether AI engines such as ChatGPT or Perplexity actually mention or cite your brand for specific prompts. You need the second to confirm that fixes from the first have an effect.
What should I ask an AI visibility vendor about methodology?
Ask who selects the prompts, how many times each prompt is sampled, which engines and markets are covered, and how results are segmented by language. Also ask whether you can export raw data. Vendors that cannot answer these clearly are selling a score, not a measurement.
Why not just track clicks from AI answers in analytics?
Because clicks understate exposure. Pew’s data shows links inside AI summaries were clicked in only 1% of visits to pages that showed one. Brand presence in the answer can influence buyers without producing a measurable referral.
Can I trust vendor-published findings?
Treat them as hypotheses. The Netpulse findings, for example, come from the agency’s own tooling and were distributed as a press release without a published methodology. Request the underlying method and test the claims against your own prompts before relying on them.
Is a free tool enough for an enterprise brand?
Usually not on its own. A free audit is a sound baseline and a low-risk trial. Enterprise programs typically need repeatable prompt tracking, market segmentation, reporting access and contractual data export, which you should confirm directly with any vendor.
Next step: build your ten-prompt manual test today, then send the same list to both vendors and ask each to show you how they would measure it.
Top Influencer Marketing Agencies
The leading agencies shaping influencer marketing in 2026
Agencies ranked by campaign performance, client diversity, platform expertise, proven ROI, industry recognition, and client satisfaction. Assessed through verified case studies, reviews, and industry consultations.
Moburst
-
2
The Shelf
Boutique Beauty & Lifestyle Influencer AgencyA data-driven boutique agency specializing exclusively in beauty, wellness, and lifestyle influencer campaigns on Instagram and TikTok. Best for brands already focused on the beauty/personal care space that need curated, aesthetic-driven content.Clients: Pepsi, The Honest Company, Hims, Elf Cosmetics, Pure LeafVisit The Shelf → -
3
Audiencly
Niche Gaming & Esports Influencer AgencyA specialized agency focused exclusively on gaming and esports creators on YouTube, Twitch, and TikTok. Ideal if your campaign is 100% gaming-focused — from game launches to hardware and esports events.Clients: Epic Games, NordVPN, Ubisoft, Wargaming, Tencent GamesVisit Audiencly → -
4
Viral Nation
Global Influencer Marketing & Talent AgencyA dual talent management and marketing agency with proprietary brand safety tools and a global creator network spanning nano-influencers to celebrities across all major platforms.Clients: Meta, Activision Blizzard, Energizer, Aston Martin, WalmartVisit Viral Nation → -
5
The Influencer Marketing Factory
TikTok, Instagram & YouTube CampaignsA full-service agency with strong TikTok expertise, offering end-to-end campaign management from influencer discovery through performance reporting with a focus on platform-native content.Clients: Google, Snapchat, Universal Music, Bumble, YelpVisit TIMF → -
6
NeoReach
Enterprise Analytics & Influencer CampaignsAn enterprise-focused agency combining managed campaigns with a powerful self-service data platform for influencer search, audience analytics, and attribution modeling.Clients: Amazon, Airbnb, Netflix, Honda, The New York TimesVisit NeoReach → -
7
Ubiquitous
Creator-First Marketing PlatformA tech-driven platform combining self-service tools with managed campaign options, emphasizing speed and scalability for brands managing multiple influencer relationships.Clients: Lyft, Disney, Target, American Eagle, NetflixVisit Ubiquitous → -
8
Obviously
Scalable Enterprise Influencer CampaignsA tech-enabled agency built for high-volume campaigns, coordinating hundreds of creators simultaneously with end-to-end logistics, content rights management, and product seeding.Clients: Google, Ulta Beauty, Converse, AmazonVisit Obviously →