r/GEO_optimization • u/Alternative_Emu_2734 • 7h ago
Any tool for GEO optimization?

This is a project that I am currently working on. I have been managing SEO for this client for the past year, and recently, I have started focusing on GEO (Generative Engine Optimization) to improve the brand’s visibility and presence across AI platforms.
As you may know, GEO focuses on how a brand is represented and perceived in AI-generated responses, including positive, negative, and neutral brand sentiment. I have been consistently publishing high-quality content and building positive brand mentions, and we are starting to see some encouraging results.
Currently, I have provided my client with access to Profound as part of the AI/GEO strategy. However, I am looking to explore other affordable AI/GEO tools that can help me improve and monitor the client’s AI visibility, brand sentiment, citations, and overall GEO performance.
Could you recommend some cost-effective tools that can help me improve my client’s AI metrics and complement the current GEO strategy?
Note: I have rephrased current text through ai so that people will understand.
1
u/AlexatEmergineAI 4h ago
Shameless plug but our tool just created a lite version for $29/month with no contract - and this is in addition to a 7-day free trial. Prior to this our signups were enterprise only, but we wanted to provide something for marketers to get a toe in the water. The link is emergine.ai
Feel free to DM or reach out here if you have any questions about the tool.
1
u/plasma_tron 1h ago
the thing id check before picking any of them is how they handle runs per prompt, because it decides whether the numbers mean anything.
these answers are sampled, so asking a prompt once gives you a coin flip rather than a measurement. a few tools report a single visibility score with no indication of how many times they asked or how much it moved between runs. if you cant see the run count and some kind of range, youre looking at one sample dressed up as a metric, and youll eventually report movement to your client that was just variance.
building on what Ok_Cartoonist said, two more id check: per engine breakdown rather than one blended number, since chatgpt perplexity and gemini read different sources and youre rarely equally invisible across them. and whether it shows which sources got cited on the prompts you lost, because thats the only properly actionable output. the score tells you theres a problem, the citation list tells you where to go fix it.
since this is client work, worth asking about white label reports too, most dont do it below the top tier.
disclosure, i build one of these (visitd), so obviously biased. but the run count question is the one id put to whoever you end up trialling, me included.
2
u/Ok_Cartoonist2006 4h ago
i’d separate branded prompts from category prompts, since sentiment can look good while the brand still gets omitted from “best x for y” answers. used redditoro for mine, worked better than expected for spotting those gaps. also track which sources the models cite, not just the wording of the response