Generative engine optimization.

What generative engine optimization actually is#

GEO is the practice of structuring content, brand presence, and entity authority so AI systems — ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Microsoft Copilot, Claude — cite or recommend your business inside their generated answers. It is not a separate discipline from SEO; it is the layer of SEO that targets the AI citation system rather than the ranking system, and the signals that drive it overlap with traditional SEO only partially.

Why we treat it as a discrete program#

Three structural differences from traditional search:

1. AI engines do not rank pages against a query. They retrieve passages across multiple sub-queries and synthesize an answer that may cite three to five sources from a much wider candidate set. Page-level optimization is less load-bearing than passage-level structure.
2. Citation behavior is non-deterministic. The same prompt produces different sources across responses. “Rank tracking” doesn’t translate; share-of-voice across many runs of relevant prompts does.
3. Third-party presence dominates self-promotion. Across professional-services categories, third-party listicles capture roughly 80% of citations and self-promotional lists about 20%. The work is as much off-site as on-site.

What we operate#

The entity layer#

The single highest-leverage move per the published research. We build the firm’s Wikidata entry and per-founder Person entries, sourced to verifiable references; we claim the Knowledge Panel once it triggers; we link the entity graph on-site via Organization and Person schema with sameAs arrays pointing at LinkedIn, X, GitHub, Wikidata, and the named third-party sources we’ve earned. AirOps’ published correlation: brands are 6.5× more likely to be cited through third-party sources than from their own domain.

Passage-level content structure#

Every page leads with a 50–80 word direct-answer paragraph. Subsequent H2s are question-shaped and map to real user prompts. Paragraphs run 2–3 sentences. Lists and tables outperform unstructured prose. We write to the way the retrieval pipeline chunks content, not the way long-form essays read on screen.

The Triple Threat#

The Aggarwal et al. KDD 2024 benchmark identifies three additions that consistently lift citation rate: statistics with sources (+41%), attributed quotations (+28%), and inline source citations (+31%). We bake them into the editorial workflow as a standard, not a “remember to add.”

Third-party presence#

G2, Capterra, Clutch, and category review sites are part of the work. So is substantive participation on Reddit, Hacker News, and the relevant subreddits and forums where the AI engines crawl most aggressively. We don’t astroturf. We participate.

AI-crawler hygiene#

The robots.txt allowlist is explicit for GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, Anthropic-SearchBot, PerplexityBot, Perplexity-User, Google-Extended, Applebot-Extended, and Bingbot. Cloudflare and security-plugin defaults that silently block these get audited and reversed.

Freshness cadence#

Pages updated within the last 60–90 days dominate citations against equivalent older content. We maintain a documented refresh schedule on cornerstone pages — not full rewrites, but documented additions of new data, current examples, and updated dateModified schema.

What we don’t do#

We don’t run “AEO/GEO” as a separate product to a client who is also paying us for SEO. It’s one program; charging for it twice is a bad-faith move. We also don’t track traffic from AI engines as a primary KPI — the absolute numbers are small, the conversion intent is high, and the operational metric that matters is share-of-voice on the prompts your buyers actually run.

Frequently asked questions#

Does GEO replace SEO?

No. Strong traditional SEO still feeds Google AI Overviews directly, and the technical fundamentals overlap heavily. Treat GEO as an additional layer on top of healthy SEO, not as a replacement.

Do backlinks affect AI citations?

Weakly. Ahrefs’ analysis of 75,000 brands found backlinks correlate with AI visibility at about 0.218, while brand mentions correlate at 0.664 — roughly three times stronger. YouTube mentions correlate highest at 0.737. We still earn backlinks because they help traditional search; we don’t lead with them for AI.

Which platform should we prioritize?

All the major ones, weighted by where your buyers actually research. ChatGPT delivers the largest share of AI referral traffic today (~87% per Conductor) but its share is eroding as Gemini grows. Perplexity over-indexes in B2B and academic queries. Single-platform strategies leave coverage gaps.

How do you measure this?

Share-of-voice within a fixed prompt set, citation depth (mention vs. recommended), citation accuracy (does the AI represent us correctly), and sentiment. Cadence: weekly or biweekly. Quarterly is structurally insufficient — published research shows 40–60% of cited domains change month-to-month.

Have you written about how this works?

Yes — see how LLMs decide who to cite, and how to engineer for it, which synthesizes the published research on AI citation behavior into the operating model we use.