Sited vs Profound: Which Is Better for AI Citation Churn?

Sited is the better choice if you are a founder or small marketing team who wants a fast, affordable, one-off read on where you stand in AI search: a single $50 payment beats a recurring subscription that starts at $99 a month. Profound is the stronger pick if you run a large content operation and need a team logging in daily to monitor nine AI engines, benchmark competitors and manage autonomous agents. The right answer depends on whether you need a dashboard to run or an answer to act on, and a new study on how fast AI citations disappear makes that choice more urgent than ever.

What did the new AI citation study find?

A six-week study tracking 1,127 URLs across ChatGPT, Gemini, Perplexity and AI Overviews found that only 119 of those URLs were still being cited after three collection waves, with the rest replaced, according to Digital Authority Partners. That is a churn rate most marketing teams are not tracking at all.

A companion piece of research from the same team puts a sharper number on it: 66% of the URLs AI engines cited in week 1 were gone by week 4, per the AI Visibility Gap Study. Pages that win an AI citation today have roughly a coin-flip chance of still being cited a month later, and the odds get worse from there.

The study also found that the majority of AI-cited content does not rank anywhere in the top 20 results on Google or Bing, which means traditional rank tracking is blind to most of what is actually happening in AI answers. Platforms do not even draw from the same pool of sources: each AI platform draws from its own universe of sources with almost no overlap between them.

Perhaps most striking for brand owners: when AI engines recommend a brand by name, 89% of the supporting citations point to third-party media rather than the brand's own website. Your own site is rarely the thing doing the convincing.

Digging into platform behaviour, the researchers found Perplexity surfaced an average of 5.9 citations per query, many from domains with low Domain Rating that would never make the first page of Google. Meanwhile Copilot pulled from Etsy, DealFuel, and Bing-only domains that no other engine touched. Each engine is running its own retrieval logic, and optimising for one does not guarantee results on another.

Why does citation churn matter for your business?

If your brand gets cited in ChatGPT or an AI Overview today, that citation is not a fixed asset. It behaves more like a rented placement that needs renewing. A team that checks its AI visibility once and moves on could be operating on data that is already several weeks stale.

This is backed up by wider market data. Semrush's expanded AI Visibility Index, built from 126 million US AI search prompts, found that among organisations that fully integrate SEO and AI visibility into a unified workflow, 81% reported increased traffic or leads from AI platforms, while among organisations managing the two areas separately, only 36% reported the same result. Treating AI visibility as a one-off task rather than an ongoing discipline appears to cost real growth.

The commercial response is already visible. On 20 August 2026, B2B agency OneIMS launched its AI Visibility Audit, a service that measures how often and how accurately a company appears in AI-generated answers to the questions prospective buyers ask. That launch is a signal that demand for clear, understandable AI visibility reporting is growing fast, well beyond enterprise budgets.

Sited vs Profound: which fits the founder chasing AI citations?

Given how quickly AI citations churn, the honest question is not "should I check my AI visibility" but "how often, and with what tool". This is where Sited and Profound sit at genuinely different points on the spectrum, and it is worth being fair about both.

Profound is built for continuous monitoring. It watches how AI engines talk about a brand on an ongoing basis, with autonomous marketing agents and crawler analytics layered on top, and it covers the widest range of engines of any tool in this space: ChatGPT, Claude, Perplexity, Gemini, Grok, Microsoft Copilot, Meta AI, DeepSeek and Google AI Overviews. For a large content team that wants to log in daily, benchmark against named competitors, track sentiment over time and hand SSO and SOC 2 requirements to procurement, that always-on model genuinely earns its keep. Given the churn rates in the study above, always-on tracking has real merit for teams with the resource to act on it daily.

The catch is cost and complexity. Profound's published plans start at $99 a month for Starter and $399 a month for Growth, both billed yearly, with custom pricing at Enterprise level and credit-based agents on top; that is a recurring cost of well over $1,200 a year before you factor in a larger tier. It is also a platform you have to learn and run, with a dashboard, seats and, in many cases, a demo call before you even see numbers.

Sited takes the opposite approach on purpose. It is a point-in-time audit: you get a free infographic first, then a single $50 payment for a full self-serve report, delivered in minutes with no subscription, no dashboard to manage and no sales call required. For a founder who just wants a clear, current read on where their brand stands across AI engines right now, and a prioritised list of fixes, that is a materially faster and cheaper route to an answer than committing to a monitoring platform they may not have the headcount to run.

Given the citation churn data above, the honest verdict is this: if you need daily, cross-team monitoring across nine engines with enterprise controls, Profound's model is built for that job and earns the subscription. But if you are a founder or a small marketing team who wants to know today whether AI engines even mention you correctly, without learning a new tool or committing to a yearly contract, Sited's $50 one-time audit is the better fit, and it is the one you can act on within the hour.

What should you do now?

Do not assume a citation you won last month is still live. Given that 66% of week-1 citations were gone by week 4 in the study above, treat AI visibility as something to re-check on a regular cadence, not a box to tick once a year.

Check whether AI engines are naming you at all, and whether the details are accurate, since 89% of the citations behind a brand recommendation point to third-party media rather than the brand's own site. That means your reputation on other sites matters as much as your own.

If you want a quick, no-commitment starting point, running a free check of your own AI visibility with Sited's audit will show you where you currently stand before you decide whether a bigger monitoring investment is justified.

Frequently asked questions

How often do AI citations actually change?

Research tracking 1,127 URLs over six weeks found that only 119 of those URLs were still being cited after three collection waves, with the rest replaced. A separate cut of the same research put the churn at 66% of week-1 citations gone by week 4.

Do AI engines cite the same sources as Google?

No. The study found that the majority of AI-cited content does not rank anywhere in the top 20 results on Google or Bing, and each platform draws from its own pool of sources.

Is Sited or Profound better for a small business?

For a founder or small team wanting a fast, affordable snapshot, Sited's single $50 audit with no subscription is the more practical fit. Profound suits larger teams needing daily monitoring across nine AI engines, at a recurring cost starting from $99 a month.

Why does third-party content matter more than my own website for AI citations?

The data shows 89% of the citations behind a brand recommendation point to third-party media rather than the brand's own website. AI engines lean on independent coverage, reviews and mentions to validate claims about a brand, so earning coverage elsewhere matters as much as optimising your own site.

Does integrating SEO and AI visibility actually improve results?

Semrush's research found 81% of organisations that fully integrate SEO and AI visibility into a unified workflow reported increased traffic or leads from AI platforms, versus only 36% among those managing the two separately. Treating them as one discipline rather than two silos appears to pay off.