do you use same accounts? how do you make sure that chatgpt/gemini etc. dont personalize the queries when used with same account?Also responses change based on location and ip(residetial ip's are treated differently)
This is actually a fundamental limitation of prompt-monitoring approaches — personalization, location variance, account history all introduce noise that's hard to control.
One alternative is page-level structural analysis: instead of asking ChatGPT "do you cite this site?", you analyze the page directly for the signals that predict citation — source density, answer structure, fluency, statistics. No account needed, no IP variance, fully reproducible.
That's the approach I took with writeseo.vercel.app/geo-check — based on the Princeton KDD research (same paper vincko linked above). Different layer of the problem, but more stable as a diagnostic.
How do models deal with assessing the quality of content and its accuracy/veracity when recommending products currently? What do the providers do to avoid a situation where more content === more traffic? Would love to see links to relevant research on this, if you have them. much success to you, appreciate your ai slop risk awareness.
There is the preselection, which depends on the fanout queries the model comes up with and the contents performance across those queries on the search index.
After that content is actually assessed by the model. This paper tried different strategies to improve performance for this last step: https://arxiv.org/pdf/2311.09735. Adding statistics, sources, original data are all strategies that we apply.
In classic SEO, creating more and more content leads to "cannibalization". Generally this hurts performance of all overlapping content so much that it is not worth it.
We currently simply integrate with your Google Analytics and filter by Source. This tends to be a lower bound, since it's not always set correctly. Coming from some of the native apps, users might be categorized as direct visitors.
There are other data sources we want to enable in the future like Cloudflare.
That's a super valid question, we get it a lot. There are a lot of overlaps.
In our view Profound and Airops are aimed at existing marketing teams. Our goal is to be more hands-off, so you don't need a team. With many of our clients we act more like an agency, communicating via Slack and automating step by step. That's the experience we want to create. We aren't there yet though.
Regarding the topic of ambient agents, what’s the impact of your product? It’s hard for me to imagine the impact but I guess it must be a necessity if we have ambient agents to get discovered at all right? Nice to see a player from Europe on the market too!
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Is $249/month something most small brands/shops can afford? Many have a few $ks in total revenue.
One alternative is page-level structural analysis: instead of asking ChatGPT "do you cite this site?", you analyze the page directly for the signals that predict citation — source density, answer structure, fluency, statistics. No account needed, no IP variance, fully reproducible.
That's the approach I took with writeseo.vercel.app/geo-check — based on the Princeton KDD research (same paper vincko linked above). Different layer of the problem, but more stable as a diagnostic.
After that content is actually assessed by the model. This paper tried different strategies to improve performance for this last step: https://arxiv.org/pdf/2311.09735. Adding statistics, sources, original data are all strategies that we apply.
In classic SEO, creating more and more content leads to "cannibalization". Generally this hurts performance of all overlapping content so much that it is not worth it.
There are other data sources we want to enable in the future like Cloudflare.
In our view Profound and Airops are aimed at existing marketing teams. Our goal is to be more hands-off, so you don't need a team. With many of our clients we act more like an agency, communicating via Slack and automating step by step. That's the experience we want to create. We aren't there yet though.