Don't Just Rank.
Get Cited, Get Trusted, Get Found.

What's in this briefing

Eight parts. End to end.

Part 2

SEO Best Practices for Large Content Catalogues

Technical Foundations That Matter Most

Crawl Budget and Indexation

Google allocates a crawl budget to each site based on authority and server performance. Large sites that waste crawl budget on low-value pages end up with their best content crawled infrequently or not at all.

• →Audit for orphaned pages, pages with no internal links, and pages that have generated zero traffic in 12+ months.
• →Block crawling of faceted search results, internal search pages, and tag archives via robots.txt.
• →Set canonical tags correctly on paginated content. Page 2 of a topic hub should canonicalize to page 1.
• →Submit clean XML sitemaps including only indexable, canonical URLs. No redirect chains, noindex pages, or parameter URLs.

Site Speed and Core Web Vitals

Use a CDN for all static assets. Compress images with WebP or AVIF. Reserve space for ad units in the layout before they load to prevent CLS.

On-Page Optimization

Keyword Strategy at Scale

Large publishers often have the inverse of a startup's problem - too much content, much of it cannibalizing itself.

• →Run keyword cannibalization audits. Three articles targeting the same query split the signal. Consolidate, differentiate by intent, or redirect weaker versions to the strongest.
• →Build topic clusters. A hub page supported by related pieces linking back to it signals topical authority far more powerfully than isolated strong articles.
• →Use Search Console data over keyword tools to find what queries your pages are actually surfacing for. Your best opportunities are usually hiding in existing impressions data.
• →Review older evergreen articles against current search intent. A piece about "social media strategy" written in 2020 may now rank for outdated queries.

Authority, Trust, and E-E-A-T

E-E-A-T - Experience, Expertise, Authoritativeness, Trustworthiness - is where editorial standards and SEO strategy genuinely converge. It's also where the signals that rank you in Google and get you cited in AI overlap most directly.

• →Detailed author pages with credentials, professional history, and expertise links. Direct E-E-A-T signal for both search and AI.
• →Editorial transparency - fact-checking policies, correction notices, ownership disclosures. Not just good journalism. Good SEO. Good GEO.
• →Google News inclusion for journalism publishers. Requires original reporting, clear bylines, and clear publication dates.
• →Backlinks from authoritative domains remain among the strongest ranking signals that exist. Actively pitch original research to journalists covering adjacent topics.
• →Cite and link to primary sources within articles. It signals that your content is grounded in real evidence, not manufactured to rank.

Internal Linking at Scale

• →Establish clear content hierarchy: evergreen hubs at top, supporting articles in the middle, timely content at the bottom.
• →Every new piece should link to at least two or three relevant older pieces. Make this a standard editorial step.
• →Identify your most authoritative pages and make sure they're pointing to your most important targets.
• →Audit for orphaned content regularly - any page with no internal links is essentially invisible to crawlers.

Part 4

GEO - Optimizing for AI Platforms

How AI Engines Actually Work

When someone asks an AI a complex question, the AI breaks it into smaller sub-queries and searches for each one separately. It then uses retrieval-augmented generation (RAG) to pull specific passages from web pages and feed them to the language model as context. It synthesizes information from multiple sources into a single, coherent response and cites the originals. The implication: AI engines don't read content the way people do. They break pages into individual passages and evaluate each one for relevance, clarity, and factual density. Every section needs to stand on its own.

The number that matters most: LLMs only cite 2 to 7 domains on average per response - far fewer than Google's 10 blue links. The competition for those slots is intense. Authority and structure are what get you in.

What All AI Platforms Share in How They Evaluate Sources

• →Third-party validation over self-promotion. LLMs heavily weigh earned media, thought leadership, and analyst mentions. They distinguish between a brand that simply publishes content and one recognized by others as an authority.
• →Front-load your best material. 44.2% of all LLM citations come from the first 30% of text - the intro. Structure leads with the answer.
• →Recency matters. A guide published in 2024 with no updates will lose ground to a 2026 article on the same topic. Refresh cornerstone content with updated data and a visible "last updated" timestamp.
• →The three-part GEO foundation: cite authoritative sources and include verifiable data; structure with clear headings and FAQ sections; build genuine topical authority through content clusters.

The Reddit / UGC Factor Nobody Talks About Enough

This is one of the biggest gaps in most publishers' GEO strategies. Reddit alone appears in 40% of citations across ChatGPT, Perplexity, AI Mode, and AI Overviews - making it the single largest source of information for generative engines. UGC-rich platforms like Reddit, LinkedIn, YouTube, Quora, and Yelp have gained visibility while evergreen information sites experienced sharp traffic declines.

Part 6

Tactical Implementation Guide

Schema Markup: The Publisher Stack

AI Bot Permissions: Know What You're Allowing

Content Structure Tactics for GEO

• →Open every page with a 40–80 word Quick Answer that directly addresses the core query. 44.2% of all LLM citations come from the first 30% of text.
• →Structure H2s as actual questions that mirror real user searches. "How to optimize for AI search" beats "AI Search Optimization."
• →Keep paragraphs short - two to three sentences maximum. Long blocks of text are harder for AI to parse and less likely to be extracted as a citation.
• →Add FAQ sections to all major content. AI engines rely heavily on clear question-and-answer pairs when building responses.
• →Add brief TL;DR statements under key headings so each section can stand alone as a complete answer.
• →Make it harder to summarize. Add original reporting, proprietary data, expert commentary, tools, timelines, and real-world examples. If AI can summarize your piece in one sentence, give readers a reason to click through anyway.

Editorial Brief Upgrade

Add a "why us" requirement to every brief: what is unique, exclusive, or genuinely helpful about this story? Include target entities, primary sources, and the one sentence you want others to cite. If your writers can't answer "what's the one sentence we want AI or journalists to pull from this piece?" before they publish, the piece probably isn't ready.

Measurement: The New KPI Stack

Traditional analytics platforms like GA4 or Google Search Console cannot track AI visibility signals. They only see what happens after a click. You might be the most-mentioned brand in ChatGPT and your dashboards would show zero activity. Build a parallel measurement system.

Tools to Track AI Visibility

HubSpot's AI Search Grader is worth running as a free one-time diagnostic before committing to a paid platform. It scans ChatGPT, Perplexity, and Gemini for your brand's mention frequency, sentiment, and competitive positioning in about two minutes.

Part 8

Forward-Looking Strategy

What's Happening Right Now That Changes Things

How to Build an Always-Relevant Content Operation

The through-line across everything in this briefing is that quality compounds. The publishers who will thrive regardless of how search and AI evolve are investing in things that don't expire: genuine expertise, original reporting, authoritative sourcing, excellent structure, and a real relationship with a real audience.