AI Search / GEO

LLM Optimization. How to Get Recommended by AI Language Models.

Are you looking for ways to get your brand recommended when users ask for suggestions and the AI model responds with an answer that includes “what is the best tool for X.” Where your tool is included in the search results for that category. We can help you optimize your site so that your brand is included in those results and gets the exposure you want. This includes optimization for the newer large language models such as ChatGPT, Claude, Gemini and Perplexity.

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SERPpro Publisher Marketplace
20K+
Publishers
5+
LLMs Covered
12+ yrs
In Market
12 mo
Guarantee
MSN DR 94·USA Today DR 92·NY Post DR 91·VentureBeat DR 89·Yale .edu DR 90+·Columbia University DR 90+·Architectural Digest DR 87·Epicurious DR 85·NYU DR 90+·BizJournals DR 80+·Berkeley .edu DR 90+·Gannett Regional Press DR 75+·MSN DR 94·USA Today DR 92·NY Post DR 91·VentureBeat DR 89·Yale .edu DR 90+·Columbia University DR 90+·Architectural Digest DR 87·Epicurious DR 85·NYU DR 90+·BizJournals DR 80+·Berkeley .edu DR 90+·Gannett Regional Press DR 75+·

How LLMs Work

What Drives LLM Recommendations. The Signals That Matter.
The Signals That Matter.

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.

01

Training Data Frequency

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.

02

Source Authority

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.

03

Entity Clarity

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.

04

Real-Time Search Results

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.

05

Reddit and Community Consensus

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.

06

Consistency Across Channels

LLMs take information from multiple places to generate their responses.

The Playbook

The LLM Optimization Playbook.
Five Tactics.

There are five tactics that will have a significant on LLM visibility, and all of them start with editorial link building.editorial link building as the foundation.

01

Build Editorial Backlinks at Scale

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.

02

Build Entity Clarity with Schema.org

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.

03

Earn Third-Party Mentions Through Digital PR

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.

04

Create Data-Driven Citable Content

Properly attributed original research and statistics become part of the training data for Large Language Models (LLMs).

05

Build Reddit and Community Presence

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.

Comparison

LLM Optimization vs Traditional SEO.Different goals. Same foundation.
Different goals. Same foundation.

Both disciplines share the same foundation: editorial backlinks from authoritative sources.editorial backlinks from authoritative sources.

FactorTraditional SEOLLM Optimization
GoalRank in search resultsGet recommended in AI answers
Primary signalBacklinks + on-pageBrand mentions + authority + entity clarity
Content formatPages optimized for keywordsCitable statements, data, clear definitions
MeasurementRankings + organic trafficAI citation monitoring + brand mention tracking
Timeline3 to 6 months for resultsCompounding over 6 to 12+ months
FoundationIdentical: editorial backlinks Identical: editorial backlinks from authoritative sources

Pricing

LLM optimization starts with
editorial authority.

Per-placement pricing. No retainers. For the first time ever, you can now build the editorial footprint that LLMs rely on when generating recommendations. See full pricing by DR tier See full pricing by DR tier

FOUNDATION
Editorial Backlink - DR 30+
$149
per placement
  • DR 30+ vetted publisher
  • 1,000+ monthly organic traffic
  • 1,000-word original article
  • 1 contextual dofollow link
  • Full site approval
  • Index guarantee
  • 12-month replacement
  • AI tracking included
Browse Placements →
GROWTH - MOST POPULAR
Editorial Backlink - DR 40+
$199
per placement
  • DR 40+ vetted publisher
  • 5,000+ monthly organic traffic
  • 1,000-word original article
  • 1 contextual dofollow link
  • Full site approval
  • Index guarantee
  • 12-month replacement
  • AI tracking included
Browse Placements →
AUTHORITY
Editorial Backlink - DR 50+
$249
per placement
  • DR 50+ vetted publisher
  • 20,000+ monthly organic traffic
  • 1,000-word original article
  • 1 contextual dofollow link
  • Full site approval
  • Index guarantee
  • 12-month replacement
  • AI tracking included
Browse Placements →
ELITE
Editorial Backlink - DR 60+
$299
per placement
  • DR 60+ vetted publisher
  • 20,000+ monthly organic traffic
  • 1,000-word original article
  • 1 contextual dofollow link
  • Full site approval
  • Index guarantee
  • 12-month replacement
  • AI tracking included
Browse Placements →

The latest releases from DR 70+ through DR 92 are currently available in the market. Starting at $4,000 digital PR campaigns Digital PR campaigns from $4,000. White-label purchasing

Proof of Placement

Real editorials on
real publications.

These placements build the editorial footprint that LLMs use when generating recommendations.

Editorial placement screenshot
Editorial placement screenshot
Editorial placement screenshot
Editorial placement screenshot
Editorial placement screenshot
Cool Material placement
Banking publication placement
Forbes placement
Editorial placement screenshot
Editorial placement screenshot
Editorial placement screenshot
Editorial placement screenshot
Credit-Back Guarantee
Unfulfilled orders receive full account credit. Your balance is always protected.
Money-Back Guarantee
If we cannot fulfill your placement, you get a full refund. No questions, no fine print.
Index Guarantee
Every placement is verified as indexed by Google. Non-indexed links are replaced at no cost.
12-Month Link Replacement
Links removed within 12 months are replaced on a comparable site. We monitor all links for removals.

FAQ

Frequently asked
questions.

Yes. Large Language Models (LLMs) are not random, they are biased towards certain sources based on perceived editorial authority, brand mention frequency, entity clarity and/or community consensus. And these types of signals can be constructed through a variety of techniques such as: Editing links that support quality content related to the topic or entity for which you are trying to improve your standing; Digital PR activities that achieve links from high reach relevancy publications; Use of schema markup to facilitate understanding and improve entity clarity in search results; Activities which demonstrate popularity and/or consensus of opinion in various communities online.editorial link building, digital PR, schema markup, and community presence.

Perplexity SEO Perplexity SEO refers specifically to the SEO practice of optimizing for Perplexity’s real-time RAG-based citation system. LLM optimization refers to the practice of optimizing language models, including but not by any means limited to ChatGPT, Claude, Gemini, Copilot and more. Perplexity SEO and LLM optimization share some strategies but Perplexity SEO has a few distinct features, for example the way Reddit is weighted and the preferential weighting of fresher search results.

Training data updates vary by model. Real-time search tools (Perplexity Data updates vary by model. Real-time search tools (Perplexity, ChatGPT with search) can start to see the impact of new training data for coverage of recent events or updates to topical factual knowledge in a matter of days. Updates to foundational models typically occur on a longer schedule. However, building consistent editorial presence over a period of 6 to 12 months is best practice for maximizing the long term impact of an LLM.

Absolutely. Traditional SEO and LLM optimization share the same foundation: editorial backlinks Yes. Every other principle of SEO and LLM optimization are the same as they have always been. We are still looking for quality, authoritative, human-edited links to make any changes on our websites worthwhile. Most other factors that contribute to ranking in Google will also be a factor in ranking in an LLM’s database.

Yes. Agencies offering AI SEO to clients can outsource Yes. Agencies providing an AI SEO service to clients can outsource the link building, digital PR and Reddit campaigns to SERPpro and we will provide a fully white-label service.white-label branding.

Ready to optimize for
AI language models?

Establish the editorial authority, entity clarity and community presence that will drive LLMs to recommend your brand. Pricing is per placement, with no retainer required.

Browse Available Placements → Talk to Our Team
12+ years in market 12-month replacement guarantee AI tracking included