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AEO · Authority Building

Build the Authority Signals AI Models Trust

LLMs cite sources they recognize as authoritative. We build those signals across your entity graph, citations, mentions, and reference web — so when AI is deciding who to quote, it picks you.

OVERVIEW

What is AEO Authority Building?

AEO authority building is the work of strengthening the signals large language models use to evaluate sources: brand entity recognition (does the AI know who you are?), citation patterns (who else references you?), entity-graph completeness (Wikipedia, Wikidata, Crunchbase, industry databases), and reference-web density (where else does your content show up?). It’s not link-building in the 2015 sense — it’s reputation building in machine-readable form.

WHY IT MATTERS

Why it matters now

LLMs decide who to citebased on signals about source quality. Most of those signals can be influenced — you just have to know which ones move the needle.
Brand entity recognitionis the single biggest authority lever for most businesses. If the AI doesn\’t cleanly know who you are, nothing else matters.
Authority compounds.Every signal added increases the probability you get cited on every future query. It\’s the highest-ROI long-term investment in AI visibility.

WHAT WE DELIVER

What we deliver

Entity audit

We document how AI models currently understand (or misunderstand) your brand, your founders, your products, your locations.

Wikidata + Wikipedia presence

Where appropriate, we establish or expand entries in the public knowledge graphs LLMs train on.

Industry database listings

Crunchbase, G2, Capterra, industry-specific directories. We complete the profiles AI models actually read.

Reference web building

Strategic mentions on third-party content (industry publications, partner sites, association directories) that strengthen your entity graph.

Author authority

For content sites: building author bios, ORCID profiles, LinkedIn author entities, and bylines that AI can attribute and trust.

Schema continuity

Consistent Organization and Person entities across every page so the AI sees one coherent brand.

HOW IT WORKS

How it works

  1. 1. Entity audit (weeks 1-2)
    We document your current entity footprint across knowledge graphs, AI models, and the public web.
  2. 2. Strategy & roadmap (week 3)
    Prioritized list of authority moves with effort and expected impact for each. You decide what to fund.
  3. 3. Execution (months 2-6)
    We execute the roadmap — Wikidata entries, database listings, reference content, schema fixes. Monthly progress reports.

FREQUENTLY ASKED

Frequently asked questions

No. Link-building is about Google’s ranking algorithm. AEO authority building is about LLM training signals — entity definitions, knowledge graph entries, attributed mentions. The overlap is about 20% by tactic. The goal is different.

Some signals (Wikidata entries, schema fixes, database listings) show up in AI answers within 30-90 days. Reference-web building compounds over 6-12 months. Brand entity recognition typically takes 3-6 months of consistent work.

No — most of the signals overlap. Stronger entity definitions, better schema, and more reference mentions help both rankings and AI citations. Nothing we do creates risk on the Google side.

Big brands have more existing signals to leverage but a higher bar to differentiate. Small brands can move faster because there’s less noise to cut through. We’ve had clients in the $1M-$10M revenue range get cited by ChatGPT within 4 months of starting.

Engagements typically start at $2,000/month for the audit + execution roadmap, scaling based on the number of entities and reference-web targets. We’ll quote your specific scope after the audit.

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BEFORE WE TALK

Before we talk, find out where you stand.

Run your own free AEO Scorecard. We test 3 of your real customer queries against ChatGPT and Claude, score your visibility, and email you a personalized report — including the businesses getting cited instead of you.

NEXT STEP

Ready to talk?

30-minute discovery call. No pitch deck, no pressure. Tell us what you’re trying to do and we’ll tell you whether we can help.