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SEO · AEO · GEO — Zero to Expert

Brand mentions & AI E-E-A-T

ExpertDuration ~14 min video + 45 min hands-onTools A brand-mention scanner (brand_scanner.py provided), Ahrefs Brand Radar or similar, Google + Reddit + Wikipedia

Why this lesson

Section titled “Why this lesson”

Everything so far has been about your own pages — writing them to be quoted, letting crawlers reach them, marking them up. But most of what an AI “knows” about you it learned somewhere else. When ChatGPT decides whether to recommend your business, it’s synthesising every place your brand appears across the web: the listicle that ranked you third, the Reddit thread where someone vouched for you, your Wikipedia entry, the G2 reviews. Ahrefs studied 75,000 brands and found that branded web mentions had the strongest correlation with visibility in Google’s AI Overviews — stronger than backlinks, referring domains, even domain rating. This lesson is how you build that off-site presence deliberately, and how it ties back to the trust framework Google already uses: E-E-A-T.

Watch

Section titled “Watch”
Watch for: The three-tier model of where to earn mentions: Tier 1 third-party editorial (industry publications, review sites like Wirecutter/TechRadar, listicles, YouTube reviews) — the hardest and most valuable, since 43.8% of ChatGPT citations are listicles and comparison pages; Tier 2 community and user-generated content (Reddit, Quora, forums) where you contribute genuine answers, never spam; Tier 3 your own properties (YouTube, podcast, LinkedIn). Note the 0.7 correlation between mentions on highly-linked pages and AI Overview appearance.
Watch for: The six gap dimensions that turn a vague 'we're not visible' into a to-do list: visibility gap (you appear less than competitors), narrative gap (AI describes you wrong), topic gap (topics you should own but don't), format gap (content types AI cites — guides, videos, comparisons — that you're missing), web-mentions gap (sources citing rivals but not you), and demand gap. Then the fix/build/influence prioritisation and the map-your-entities-first step.

The explainer

Section titled “The explainer”
Section titled “Mentions, not just links”

For twenty years SEO ran on links. AEO runs on brand mentions — your name appearing in text across the web, whether or not it’s hyperlinked. That last part matters: an unlinked mention (your brand named with no link at all) still counts, because the AI is reading the words, learning that you exist, what you do, and whether people speak well of you. A closely related idea is the entity mention — the model connecting the string “your brand” to a distinct thing in its understanding of the world (this is why the Wikipedia and sameAs work in lesson 3.4 pays off here). The more places your brand appears in a positive, on-topic way, the more training and retrieval examples the model has to draw on.

Not all mentions are equal, and the video’s three-tier model is the map:

  • Tier 1 — third-party editorial. Industry publications, review sites (Wirecutter, TechRadar), authoritative listicles and comparison posts, and YouTube reviews from creators in your space. These are the hardest to earn and the most valuable, because 43.8% of ChatGPT’s citations are listicles and comparison pages — exactly this content. Mentions on highly-linked pages showed a 0.7 correlation with AI Overview appearance. You don’t have to wait to be cited: find the “best X” and “X vs Y” pages that already have lots of referring domains but don’t mention you, and go earn a spot.
  • Tier 2 — community & user-generated content. Reddit, Quora, niche forums. Reddit is one of the most frequently cited sources by ChatGPT and a foundational LLM training source; Perplexity indexes it heavily. The play is community validation — find threads where your product genuinely answers the question and contribute a real, useful answer. Spam your brand name and it backfires fast. This is a third-party signal: someone who isn’t you vouching for you, which a model weighs far more than your own marketing.
  • Tier 3 — your own properties. Your YouTube channel, podcast, and LinkedIn are all indexed and can surface as sources. YouTube is one of the most-cited domains, so a single good video can do real work.

Wikipedia, reviews, and the scoring order

Section titled “Wikipedia, reviews, and the scoring order”

When you scan your presence, weight the platforms by how much AI trusts them. Wikipedia is the strongest entity signal there is — check it via the API, not just a site: search, and if you legitimately qualify for an entry, it’s the single highest-leverage off-site asset because it lifts ChatGPT, Perplexity and Gemini at once. Then Reddit (recency and sentiment), YouTube, LinkedIn, and the review directories — G2, Trustpilot, Capterra and industry sites. That order roughly mirrors how the GEO frameworks score brand presence.

The gap analysis, and why this is E-E-A-T

Section titled “The gap analysis, and why this is E-E-A-T”

The second video turns “be more visible” into a checklist. Map your branded entities first (main brand, sub-brands, products, proprietary metrics, key people), then measure six gaps — visibility, narrative, topic, format, web-mentions, demand — and sort each fix into fix / build / influence. The web-mentions gap (rivals cited where you aren’t) is usually the fastest win: it’s outreach, not new content. Tracking how often you’re named versus competitors gives you a share of voice number to move over time.

Step back and this is just E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — expressed through AI. Off-site mentions are how authoritativeness becomes machine-readable. And author authority feeds it too: a named expert with a real byline, credentials, and a presence AI can verify (their own LinkedIn, conference talks, Person schema) makes both the author and the brand more citable. Being trusted by AI isn’t a trick — it’s the same reputation SEO always rewarded, now read by a different machine.

Do it

Section titled “Do it”
  1. List your branded entities: main brand, product names, proprietary terms, and the people who represent you.
  2. Run a brand-mention scan — check Wikipedia (via API), Reddit, YouTube, LinkedIn, and the review directories (G2/Trustpilot/Capterra) for your brand. Score each platform present/absent. Use the provided brand_scanner.py to automate the sweep, or do it by hand.
  3. In Brand Radar (or by Googling “best [your category]” and “[category] vs”), find 5 Tier-1 pages that mention competitors but not you. That’s your web-mentions gap.
  4. Find 3 Reddit or forum threads where your product genuinely answers the question. Draft one honest, useful reply for each — no brand-stuffing.
  5. Map every gap to fix / build / influence and pick the two quickest wins.
  6. Log your baseline scores and target list in the Level 3 workbook.
Level 3 workbook — brand-mention scorecard, three-tier target list & the six-gap grid (ships with brand_scanner.py)level-3-workbook.pdf113 KBOriginal course material — free to use

Terms introduced

Section titled “Terms introduced”

Check

Section titled “Check”

Check yourself

  1. In Ahrefs’ study of 75,000 brands, which signal had the strongest correlation with appearing in Google’s AI Overviews?

  2. Why does Reddit matter so much for AI visibility?

  3. What is an "unlinked" brand mention, and why does it count for AEO?

You can move on when you can… run a brand-mention scan across the platforms AI trusts, identify your biggest web-mentions gap versus a competitor, and explain why off-site mentions are how E-E-A-T’s authoritativeness becomes visible to an AI.

Go deeper

Section titled “Go deeper”
  • Ahrefs — Brand Radar and its “brand gap analysis” guide: the cited-domains and share-of-voice reports that turn this lesson into a repeatable audit.
  • Google — E-E-A-T & the Quality Rater Guidelines: the framework underneath all of it. Off-site mentions are authoritativeness made machine-readable.
  • Next: 3.9 · Measuring AI visibility — prove any of this is working.