LLM Optimization. How to Get Recommended by AI Language Models.
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.
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.
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.
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).
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.
Both disciplines share the same foundation: editorial backlinks from authoritative sources.editorial backlinks from authoritative sources.
Factor
Traditional SEO
LLM Optimization
Goal
Rank in search results
Get recommended in AI answers
Primary signal
Backlinks + on-page
Brand mentions + authority + entity clarity
Content format
Pages optimized for keywords
Citable statements, data, clear definitions
Measurement
Rankings + organic traffic
AI citation monitoring + brand mention tracking
Timeline
3 to 6 months for results
Compounding over 6 to 12+ months
Foundation
Identical: 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
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.
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 (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.
The Platform
Every SEO discipline. One platform.
Switch between on-page and off-page. Every feature your team would run a campaign with.
Content Engine
Rank-ready content that sounds human.
Generate articles. Humanize them through the same platform. Every draft gets a content score, AI detection report, and auto-distribution to LinkedIn + Twitter variants.
4,000+ word articles
Content Score /100
Built-in AI detector + humanizer
21-variant social distribution
AI Humanizer
Bypass AI detectors. Keep your voice.
Paste any AI draft. Get a human-scored version back in seconds. Fast mode or maximum mode with auto-re-humanize if detection still reads above 25%.
AI detection score out of 100
Fast or Maximum mode
Auto re-run until clean
Preserves SEO intent and tone
Distribution
One article. 21 social variants.
Every article auto-splits into LinkedIn threads, Twitter posts, and more. No copy-paste. No reformatting. Just publish.
LinkedIn + Twitter variants
Multiple angles per article
Character-length optimized
Hashtag + formatting included
Projects & Analysis
Site analysis + competitor gap.
Attach a project to every campaign. See niche matches, news & authority, local & regional, and competitor gaps in one view.
Niche match + authority filtering
Competitor gap analysis
Local + regional targeting
Content knowledge base per project
Publisher Marketplace
20,250 publishers. Live filters.
Sort by Domain Rank, DA, traffic, category, country, or price. Every site is manually vetted - forbes.com, reuters.com, techcrunch.com, hbr.org, and 20,000 more.
DR 92+ premium sites
40+ countries covered
Dofollow + nofollow filters
Real traffic & category data
Anchor Strategy
Reverse-engineer the winning anchor mix.
Enter a domain and target keyword. We pull the top 10 ranking URLs, analyze every backlink anchor, and show you the distribution that's already winning the SERP.
Top 10 competitor analysis
Full anchor distribution breakdown
Publisher recommendations by niche
PDF export included
Prospect Research
Find every link prospect worth pitching.
Give us keywords. We run Google operators across multiple footprints, dedupe across all runs, and enrich every prospect with DR, traffic, email, and AI-generated pitches.
Unlimited searches, up to 6 keywords per batch
Auto-enrichment (DR, traffic, email)
AI pitch drafting
Sequences & inbox built in
Digital PR
Every live journalist query. One feed.
Every open HARO, SourceBottle, X.com, LinkedIn, and MentionMatch query - live, unlimited, filtered by niche.
Live updates across every source
Every niche covered
6 source integrations
AI pitch drafting + gift-guide tracker
Site Finder
One tool. Nine ways to find anything.
Link prospects, digital PR, journalists, GBPs, affiliate sites, resource pages, roundups, unlinked brand mentions, comparison pages - all from one search.
Web, GBP, and Journalist modes
9 preset strategies built in
Auto-enriched with DR, traffic, and contact data
One-click pitch drafts
Before & After
The team, time, and tools you stop needing.
Stop hiring. Stop juggling tools. Stop waiting weeks for placements.