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Get your brand recommended by ChatGPT, Perplexity, Gemini, and Claude. We build the editorial signals LLMs use to decide. Large language model optimization positions brands in AI outputs. LLM seo ensures your brand appears in AI-generated answers.
LLMs don’t recommend brands at random. They have to apply certain criteria to decide which brands to mention in their output. Knowing these criteria is the key to starting to get more visibility for your brand with LLMs.
LLMs (Large Language Models) are trained on the internet. Brands that are mentioned frequently across credible sources during training data collection are anchored in the model.
Not all mentions are created equal. A mention in VentureBeat has more value than a mention in some random blog. LLMs are heavily biased to content from highly authoritative editorial sources.
To train and understand Light Language Models (LLMs), you have to make them aware of what your brand does, and what category or niche it belongs to, as well as what differentiates it from others.
ChatGPT, Perplexity Each new release of ChatGPT, Perplexity and Gemini will include new features which incorporate real time web search results into their primary training datasets.
LLMs, especially those used by Perplexity LLMs used in Perplexity and Gemini give a lot of weight to the discussions on Reddit. Positive mentions in relevant subreddits are more likely to be cited.
LLMs take information from multiple places to generate their responses.
The more you appear in relevant, authoritative publications (edits) in which your brand is mentioned, the more likely your brand will appear as a recommendation in the LLM.
Organization schema, Person schema for key stakeholders and consistent brand messaging across all touchpoints. Ensure that every mention of your brand is categorized and represented consistently with the same product categories, value propositions and key expertise.
Digital PR campaigns Digital PR obtains coverage from real journalists and this earned media coverage is highly weighted by LLMs as it comes from trusted 3rd parties.
Properly attributed original research and statistics become part of the training data for Large Language Models (LLMs).
LLMs trained on Reddit data (and real-time tools like Perplexity The List of Lists models that we train on the Reddit corpus (and the real time tool called Perplexity that points to the Reddit corpus) suggest relevant brands that.
Screenshots from live campaigns we run for brands, affiliates, and agency partners.
Unfulfilled orders receive full account credit. Your balance is always protected.
If we cannot fulfil a placement, you get a full refund. No fine print.
Every placement is verified as indexed by Google, or replaced at no cost.
Links removed within 12 months are replaced on a comparable site, free.
Brands in competitive niches, from a standing start to full-funnel organic growth. Live data; client names withheld.
Observed across recent queries: the same pages now surface where buyers look.
Results are not guaranteed. SEO outcomes depend on many factors outside any tool's control, including your competition, content, technical health, and search engine updates. SERPpro surfaces the gaps and recommends the optimizations and placements to influence your campaigns positively. It does not guarantee rankings, traffic, or revenue.
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SlackEditorial placements on vetted publishers, guaranteed and tracked for you.
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