AI SEO Agency — the bundle of SEO + AEO + GEO

"AI SEO" means 5 different things

Some agencies use "AI SEO" to mean AEO. Others mean "we use AI tools to do SEO faster." Others mean GEO. The category is muddled. Buyers don't know what they're actually getting.

AI Overviews steal clicks

When Google AI Overviews answer the query directly, organic CTR drops 30-50%. If your content isn't the cited source in the AI Overview, you're losing traffic to a Google answer that quotes your competitor.

ChatGPT recommends competitors

When prospects ask ChatGPT or Perplexity "best X tool for Y," competitors get cited and you don't. Without AEO, you're invisible in the fastest-growing search channel.

Entity recognition is invisible

LLMs cite brands they recognize as entities in their training corpora. Wikipedia, Wikidata, structured data, authoritative citations — the signals that earn entity status are different from traditional ranking signals.

METHODOLOGY

AI SEO = SEO + AEO + GEO under one playbook

Citelane defines AI SEO as the explicit bundle of three disciplines: SEO (traditional Google ranking), AEO (Answer Engine Optimization for AI search engines), and GEO (Generative Engine Optimization for entity recognition in LLM training corpora). These three share substantial infrastructure (schema markup, content quality, internal linking) but optimize for different reward functions. We run them as one bundled program because running them separately is wasteful overhead and produces inconsistent signals.

WHAT’S INCLUDED

In every AI SEO retainer

• ✓ Traditional SEO (14-Layer audit, content, links, technical)
• ✓ AEO (14-Point AEO Framework: schema, citation density, FAQPage, definitional openings)
• ✓ GEO (Wikidata claim, entity sameAs, authoritative citation building)
• ✓ AI engine citation tracking (ChatGPT, Perplexity, Google AI Overviews, Gemini)
• ✓ AI Overviews defensive content strategy
• ✓ Brand entity status monitoring across LLM training corpora
• ✓ Schema architecture sitewide
• ✓ Monthly cross-discipline reporting (one report, not three)

Triple-baseline audit

Three baselines established simultaneously: Google ranking baseline (GSC), AI engine citation baseline (multi-engine sweep across 20 buyer queries), and entity recognition baseline (Knowledge Graph / Wikidata / sameAs presence).

Bundled playbook

Schema markup deployed once and serves all three disciplines. Content engineered to rank in Google AND extract in AI engines AND build entity recognition. Internal linking architecture serves crawl budget AND citation density AND topical authority.

Cross-discipline tracking

Weekly monitoring across all three reward functions: ranking changes, AI citation changes, entity signal changes. Anomalies in any of the three trigger alerts.

One report, not three

Monthly executive report covers all three disciplines in one narrative. Pipeline attribution ties it together — which content drove SQLs from Google + which from AI engine referrals.