AI Visibility Monitoring: 83% Brand Mentions at $0.006 Per Probe

AI visibilityLLMRAG

AI Visibility Monitoring: 83% Brand Mentions at $0.006 Per Probe

What we measured

This study tracks how often a monitored B2B software vendor appears in AI-generated answers on Perplexity, and what it costs to measure that visibility. We ran 390 AI probes between 2026-08-31 and 2026-09-29, covering 30 distinct days. Each probe used one of 13 keywords drawn from the vendor's core product and service categories. The cost per probe was $0.006 USD, for a total study cost of $2.34.

The data comes from a single AI platform (Perplexity), a single brand, and one tenant. This means the results reflect visibility within one search ecosystem, not across all AI answer engines. The keyword set is narrow and product-specific; it does not represent the full range of search queries a B2B software vendor might encounter. Results may differ on other platforms, in other languages, or with different keyword selections. The cost figures are based on Perplexity's API pricing at the time of measurement and may not reflect current rates.

What the data shows

Finding 1: The monitored B2B software vendor appears in the majority of AI answers.

The vendor was mentioned in 325 of 390 probes, an overall mention rate of 83.3%. This means that when users ask Perplexity about any of the 13 tracked keywords, the vendor's domain surfaces in the answer roughly four out of five times. The remaining 65 probes (16.7%) returned answers that did not reference the vendor.

Finding 2: Mention rates vary significantly by keyword.

The top-performing keyword, "smart education solution," achieved a 97% mention rate (29 of 30 probes). The lowest, "data visualization dashboard," reached 70% (21 of 30). The full breakdown is below.

The gap between the highest and lowest keywords is 27 percentage points. Keywords tied to AI and education services perform above the overall average; keywords tied to data visualization and e-commerce sit below it.

Finding 3: The tone of mentions is overwhelmingly neutral.

Of 390 probes, 384 (98.5%) carried a neutral tone and 6 (1.5%) carried a positive tone. No negative-tone answers were recorded. This suggests that when the monitored B2B software vendor appears in AI answers, the context is informational rather than promotional or critical. The sample size of positive mentions (6) is too small to draw firm conclusions about sentiment trends.

Finding 4: The vendor's own domain is the most cited source in AI answers.

The most-cited domains across all probes are:

The vendor's own domain (www.zzcxin.cn) leads with 779 citations, followed by www.etycx.com at 397 and www.asiainfo.com at 330. The vendor's domain accounts for a substantial share of total citations, but third-party domains also appear frequently in the answer ecosystem.

Finding 5: Monitoring visibility is inexpensive at scale.

At $0.006 per probe, 390 probes cost $2.34 total. Extrapolating to a monthly cadence of 390 probes, the annual cost would be approximately $28.08. This makes repeated measurement feasible for teams with limited analytics budgets, though the cost assumes a single-platform, single-brand scope.

Why it matters for your brand

For B2B software vendors, AI answer engines are becoming a real distribution channel for organic visibility. An 83.3% mention rate on Perplexity means the monitored vendor is already present in a significant share of relevant AI answers. But presence is not the same as control. The data shows that mention rates drop to 70% on lower-performing keywords, and that third-party domains such as www.etycx.com and www.asiainfo.com also appear frequently in answers. This means the vendor shares visibility with competitors and publishers, and the balance can shift as AI models update their training data or citation preferences.

The neutral tone distribution is another signal worth noting. When AI answers reference the vendor, they tend to do so in a factual, descriptive manner rather than a promotional one. For B2B buyers, this is useful: neutral mentions in AI answers often carry more credibility than paid placements. But it also means the vendor cannot rely on AI answers to convey brand positioning or differentiators. If the goal is to influence how the brand is described in AI-generated content, the vendor needs to invest in the underlying signals—technical content, documentation, and structured data—that AI models draw from when forming answers.

How to act on it

1. Measure your own visibility monthly. Run 390 probes across your keyword set using the same methodology. Track mention rate, tone, and domain citation share over time. The cost is low enough to make this a regular practice, not a one-off experiment.

2. Prioritize keyword gaps. Focus content and technical SEO efforts on the keywords where mention rate falls below 80%. For the monitored vendor, "data visualization dashboard" sat at 70%. Identify which pages or resources AI models are pulling from for those queries, and improve or create content that covers them more completely.

3. Build citable assets that AI models can reference. Third-party domains appeared frequently in answers, often because they host content that AI models find authoritative. Publish technical documentation, case studies, and API references on your own domain that are structured for machine readability. Schema markup, clear headings, and explicit product descriptions increase the chance that your domain is the primary citation rather than a secondary one.

4. Monitor competitor and publisher presence. Track which domains appear alongside your own in AI answers. If competitors or industry publishers consistently show up in answers for your target keywords, analyze what content they are providing that the AI model finds useful. Replicate the structure and depth, not the topic.

5. Set a baseline and measure ROI. Use the $0.006 per probe cost as a reference point for budgeting visibility monitoring. If monthly mention rate improves by even 5 percentage points, the return on a $28 annual monitoring spend is significant. Track this metric alongside organic traffic and conversion data to connect visibility to business outcomes.

Bottom line

The monitored B2B software vendor appears in 83.3% of Perplexity answers across 13 tracked keywords, at a monitoring cost of $0.006 per probe. Mention rates range from 70% to 97% by keyword, tone is nearly always neutral, and the vendor's own domain is the top-cited source but shares visibility with multiple third-party domains. For B2B software vendors, AI visibility is measurable, inexpensive to track, and unevenly distributed. The brands that treat it as a regular metric—not a one-time check—will be the ones that can act on it before the signal fades.