Generative Engine Optimization
An AI specialist agent that audits how often Perplexity, ChatGPT, Claude, and Google AI Overviews actually cite you for your target queries — then hands rewrite briefs to SEO Content when AI engines under-cite a page that should rank.
Sample briefing
"Cited on 7 of 12 target queries this week (+0.14 WoW). Wins: AI Overviews now cite us for "managed AI marketing service" (was missing 2 weeks ago). Gaps: "sqlite-vec alternative" — Perplexity cites OpenClaw + Chroma but not us, despite our blog post being indexed. Diagnosis: our post lacks a concrete benchmark table; engines prefer pages with structured comparisons. Rewrite brief sent to @seo with 3 specific edit recommendations."
What Generative Engine Optimization does
- Runs weekly citation audits across Perplexity, ChatGPT, Claude, and Google AI Overviews on your target query list
- Tracks per-query citation rate over time — "cited on 7/12 this week, was 5/12 four weeks ago"
- Diagnoses why AI engines cite a competitor instead of you for a specific query (content shape, structured data, evidence density)
- Drafts rewrite briefs for SEO Content — exact section to revise, what to add, what concrete numbers/citations engines need
- Verifies post-rewrite — re-runs the citation audit 7 days after a page redeploys to confirm the gap closed
- Maintains an llms.txt + structured-data hygiene checklist (FAQPage, HowTo, Article schema) for citation eligibility
- Surfaces queries you should target but currently don't — based on what AI engines are answering for adjacent terms
How it works
Search is bifurcating. Half your prospects still type queries into Google's blue links; the other half ask Perplexity / ChatGPT / Claude and accept the synthesis. SEO optimises for the first surface; GEO (Generative Engine Optimization) optimises for the second. The two share the same content base but measure different signals — a page that ranks on Google can fail to be cited by AI engines, and vice versa.
The audit is your visibility metric. Each Wednesday the role queries your tracked questions across all 4 engines, parses the cited sources, and computes a citation rate per query and an aggregate weekly score. The number is exact: "cited on 7 of 12 queries this week." You can see the trend, the wins, the gaps, and the engine-by-engine breakdown.
Diagnosis matters more than the score. When a query under-cites you, the role doesn't just flag it — it diagnoses why. Common patterns: your page lacks a structured comparison table (engines prefer pages with parsed-out comparisons); your post buries the answer below 800 words of preamble (engines extract from the first chunk); you don't have FAQPage or HowTo structured data on a how-to query (engines bias toward pages with explicit Q&A markup); you don't cite primary sources (engines cite pages that cite sources). Each diagnosis is concrete, not "improve content quality."
The rewrite brief is the leverage point. When the diagnosis surfaces a rewrite need, the role hands a brief to SEO Content with exact recommendations — section to revise, content to add, structured data to inject. SEO Content does the rewrite; you approve; the page redeploys. 7 days later GEO Strategist re-runs the citation audit on that query and verifies whether the rewrite worked. The loop closes.
What Generative Engine Optimization does not do
- Promise specific citation outcomes — engines change their citation behaviour weekly; we measure, you decide
- Crawl your full site for technical SEO audits (use a technical-SEO tool for that)
- Buy citations or publish to AI-engine training data (no such product exists; anyone selling it is selling snake oil)
- Track non-AI search engine rankings (that's SEO Content's lane via your GSC data)
- Auto-rewrite content on its own — every rewrite goes through SEO Content's drafting + your approval
FAQ
- How do I get my startup cited by ChatGPT and Perplexity?
- Ceres's Generative Engine Optimization agent measures and improves exactly that. Each week it audits how often Perplexity, ChatGPT, Claude, and Google AI Overviews cite you for your target queries, computes a per-query citation rate, and diagnoses why an engine cites a competitor instead — usually a missing comparison table, a buried answer, or absent FAQ/HowTo structured data. It then briefs the SEO Content agent on the exact rewrite and re-audits the page a week after it redeploys.
- Is GEO actually a real thing, or is this marketing buzzword theatre?
- It's real and measurable. Whether you call it GEO, AI search optimization, or LLM citation optimization, the underlying signal is concrete: when prospects ask Perplexity "best AI marketing tool for indie SaaS", does the answer cite you or a competitor? That citation rate is trackable, has a real trend over time, and responds to specific content changes (structured data, comparison tables, primary-source citations, llms.txt). The buzzword is irritating; the work is real.
- How do you query the AI engines without burning my budget?
- We use the public consumer interfaces (Perplexity, ChatGPT, Claude.ai, Google's AI Overviews) at the scale of one query per tracked term per engine per week — typically 10–25 queries × 4 engines × 1 run/week = 40–100 calls per audit. The role pays for its own API usage where APIs are available; for engines without an API (AI Overviews) it queries the consumer surface directly. Audit costs are part of the role pricing, not separate metering.
- What if I'm a brand-new product with no citations yet?
- First audit will show 0/N citations across most queries — that's the starting point. The role sets up your tracked-query list, runs the baseline audit, and starts the foundation work: llms.txt, structured-data sweep, comparison-page coverage. Most new products start to see citations within 6–12 weeks of consistent SEO Content + structured-data work; the audit makes the trajectory legible week-by-week.
- How is this different from what an SEO agency would do?
- Most SEO agencies optimize for blue-link rankings (Google's main results page). GEO operates on the citation layer — what AI engines say about you when prompted for your category. The work overlaps (content, structured data, primary citations) but the measurement is different. Many SEO agencies don't track AI-engine citations at all; the metric isn't on their dashboards yet.
- Will optimizing for AI citations hurt my Google rankings?
- Almost never — and usually it helps. The pages that AI engines prefer (structured data, comparison tables, evidence-cited content, clean schema markup) are the same pages Google rewards in its main index. The exception is over-aggressive structured-data stuffing, which we don't do. The two surfaces' incentive structures are aligned; the work compounds.
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