OptimizeAISearch — AI SEO Agency
✨ Generative Engine Optimization

Get Cited by ChatGPT,
Perplexity & Gemini —
Not Just Ranked on Google.

Generative Engine Optimization (GEO) is the discipline of structuring your content, entity signals, and technical setup so AI engines pick your brand when they generate an answer. It has a real academic backbone: the term was defined in a 2024 Princeton-led paper at ACM SIGKDD that showed targeted GEO tactics can lift a source's visibility in AI answers by up to 40%. We run engagements built directly on that evidence — not folklore.

ChatGPT Perplexity Gemini Copilot Claude
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500+ brands cited across every major AI engine

Free · No Credit Card · 24hr Turnaround

Are AI Engines Citing You? Find Out Free.

Free GEO Visibility Audit — we run your brand through 100+ real buyer queries across ChatGPT, Perplexity, Gemini & Copilot and show you exactly where you are cited, missed, or beaten.

500+

Brands Cited

24hr

Audit Delivery

Free

No Credit Card

Up to 40%

Visibility lift in AI answers from GEO tactics (Princeton, KDD 2024)

~60%

Of Google searches now end without a single click (SparkToro)

800M+

Weekly active ChatGPT users globally

45–60d

Typical time to first measurable citation lift (our client benchmark)

Sources: Aggarwal et al., "GEO: Generative Engine Optimization" (arXiv:2311.09735, KDD 2024); SparkToro zero-click research; OpenAI weekly-active reporting. Timeline figures reflect our own client engagements.

Definition

What Is Generative Engine
Optimization (GEO)?

Generative Engine Optimization is the practice of structuring your content, brand entity signals, and technical setup so generative AI engines cite, quote, or recommend your brand when a user asks a question in your category. The term was coined in a peer-reviewed paper by researchers from Princeton, Georgia Tech, IIT Delhi, and the Allen Institute for AI, published on arXiv in November 2023 and presented at ACM SIGKDD 2024. The paper introduced the GEO-bench benchmark of ~10,000 queries, tested nine optimisation tactics, and demonstrated that the right combination could lift a source's visibility in generative-engine responses by up to 40%.

The practical implication is simple: AI answer engines do not rank pages, they extract passages. A GEO engagement is the discipline of making your passages the ones AI engines choose to lift.

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Academic Origin

Coined by Aggarwal et al. in the paper "GEO: Generative Engine Optimization" (arXiv:2311.09735) and presented at ACM SIGKDD 2024 in Barcelona — the first peer-reviewed study of the field.

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Evidence-Based

The Princeton team tested nine tactics on around 10,000 queries. Adding named citations, adding statistics, and rewriting for fluency were the strongest levers. Keyword stuffing was the only tactic that reduced visibility.

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Multi-Surface

GEO is not a single-engine game. Effective work spans ChatGPT, Perplexity, Google Gemini and AI Overviews, Microsoft Copilot, and Claude — each with a different source pool and weighting.

GEO vs SEO vs AEO

Three Disciplines,
One Integrated Strategy.

These terms get used interchangeably. They should not be. Each optimises for a different unit of success, and modern brands need all three running together. We cover the narrower answer-engine focus on our Answer Engine Optimization service page, and the ChatGPT-specific work on our ChatGPT SEO service page. The context on why Google itself formally acknowledged both terms is covered in our post on Google officially naming GEO and AEO in 2026.

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SEO

Search Engine Optimization

Optimises for position among ranked links. Success = rank #1. Metrics = keywords, backlinks, domain authority, organic clicks.

GEO

Generative Engine Optimization

Optimises for visibility across all generative AI surfaces — being mentioned, quoted, referenced, or recommended anywhere an LLM generates an answer.

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AEO

Answer Engine Optimization

The narrower slice of GEO focused specifically on becoming the extracted, cited answer inside AI-generated responses. Every AEO engagement is a GEO engagement.

Dimension Traditional SEO GEO
Primary Goal Rank in search results Be cited inside AI-generated answers
Unit of Optimisation Whole page Passage (small text chunk)
Success Metric Rankings, organic clicks Citation share of voice, AI referrals
Highest-Impact Signal Backlinks & keyword coverage Fluency, named citations, statistics
Structured Data Useful, optional Foundational — FAQ, HowTo, Article, Organization
Query Coverage Google / Bing ChatGPT + Perplexity + Gemini + Copilot + Claude
Reporting Cadence Monthly rank reports Weekly citation tracking
Time to First Signal 3–6 months 45–60 days
The Five Surfaces

Cited Across Every Engine
Your Buyers Actually Use.

GEO is not "ChatGPT SEO." Each generative engine draws from a different source pool with different rules for what gets cited. A serious GEO engagement covers all five simultaneously.

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ChatGPT

OpenAI's consumer product, plus SearchGPT for real-time web queries. Weights structured content, established publisher authority, and Bing-index signals for web queries. Our ChatGPT SEO service goes deeper on this engine specifically.

Full Coverage
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Perplexity

Citation-first by design — every answer shows numbered sources. Strong GEO here converts directly to referral traffic and click-throughs, not just brand impressions.

Full Coverage

Google Gemini

Powers AI Overviews above traditional search results, plus the Gemini app. Weights the same E-E-A-T signals as core Google Search — strong SEO foundations translate directly.

Full Coverage
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MS Copilot

Embedded in Windows, Edge, Bing, Office, and Teams. Dominant in enterprise research and procurement workflows. Draws heavily on Bing index and Microsoft-partnered publisher sources.

Full Coverage
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Claude

Trusted by senior technical and executive audiences for research-heavy queries. Citations here signal credibility to high-value decision-makers.

Full Coverage
Evidence-Based Tactics

What the Princeton Study
Actually Found.

Most GEO advice you read online is opinion. The Aggarwal et al. paper is different: it tested nine specific content tactics on a benchmark of ~10,000 queries and measured which ones actually moved the needle. Here is a summary of what the study reported — and what we build engagements around.

Cite Sources

Add named external citations (author or institution + URL). Anchors your claims to a verifiable third party.

Up to ~28% lift
Use
Fluency Optimization

Rewrite passages for readability without changing the underlying claims. AI retrievers extract cleaner text from cleaner prose.

Up to ~28% lift
Use
Add Statistics

Insert relevant statistics with clear attribution. Numbers with named sources are highly extractable.

Up to ~40% lift (combined with fluency)
Use
Quotation Addition

Include direct quotes from named experts or organisations, formatted so they can be lifted intact.

Positive lift
Use
Unique Wording

Distinctive phrasing that AI engines can attribute to your source specifically, rather than generic language.

Positive lift
Use
Authoritative Voice

Confident, definitive language backed by evidence — hedged, uncertain prose gets cited less.

Positive lift
Use
Keyword Stuffing

Traditional keyword-density tactics ported from old-school SEO.

−8% to −10% (worse than baseline)
Avoid

Figures are drawn from the Aggarwal et al. paper and its published breakdown of Position-Adjusted Word Count (PAWC) and Subjective Impression across nine tactics. Exact effect sizes vary by domain and query type; we recalibrate per engagement.

What Is Included

A Complete
GEO Engagement.

Every engagement combines the Princeton-evidenced content tactics with the technical, entity, and citation infrastructure required to make them stick.

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GEO Visibility Audit

Baseline audit of your brand across 100+ real buyer queries on ChatGPT, Perplexity, Gemini, Copilot, and Claude — with competitor citation mapping and gap analysis.

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Passage-Level Content Rewrites

Restructuring your highest-intent pages at the passage level using the Princeton tactics: named citations, statistics with attribution, fluency optimization, and unique wording.

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Entity & Knowledge Graph

Optimising your presence in Google Knowledge Graph, Wikidata, and the entity databases LLMs rely on to identify who you are as a distinct business.

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Structured Data

Deployment of FAQPage, HowTo, Article, Organization, Product, and Review schemas — the machine-readable layer that helps AI engines parse your content confidently.

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AI-Focused Digital PR

Editorial placements on the publications, listicles, and industry sources AI engines consistently draw from — the third-party validation that turns a page into a citable source.

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LLM Crawlability

Verifying that GPTBot, ClaudeBot, PerplexityBot, and Google-Extended can access, parse, and understand your critical pages — including robots.txt review and llms.txt setup.

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Wikipedia & Wikidata

Ethical Wikipedia and Wikidata contribution where eligible — a high-authority entity source that heavily influences LLM factual grounding.

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Weekly Citation Monitoring

Live tracking of your brand mention rate, position, and sentiment across every major AI engine for 100+ target queries.

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Monthly Reporting

Executive reports tied to citation share of voice, query coverage, and AI referral traffic — no vanity keyword rankings.

Our Process

From Invisible to Cited
in 90 Days.

A four-phase framework you can measure — no black-box promises, no vanity metrics.

Phase 01 🔎

Audit

We run 100+ real buyer prompts through ChatGPT, Perplexity, Gemini, Copilot, and Claude — documenting every citation, every competitor mention, and the exact reasons AI engines are quoting someone other than you.

Week 1
Phase 02 🗺️

Strategy

A prioritised roadmap built for your category and buyer journey — including passage-level content targets, schema deployment plan, entity fixes, and citation acquisition goals.

Week 2
Phase 03 ⚙️

Execute

Content rewrites using the Princeton tactics, schema and entity work, AI-focused PR outreach, Wikipedia/Wikidata contributions — all in parallel for compounding citation velocity.

Month 1–3
Phase 04 📈

Monitor

Weekly citation tracking across every major engine, monthly reporting tied to referral outcomes, and continuous refresh cycles as engines re-index their preferred sources.

Ongoing
What We Measure

Real GEO KPIs.
No Vanity Metrics.

Measuring GEO is harder than measuring SEO because a large share of AI mentions never generate a click. That is why we track direct and indirect signals in parallel.

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Citation Share of Voice

How often your brand is quoted in AI answers for your target queries versus competitors — the core outcome metric.

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Query Coverage

The percentage of high-intent buyer questions in your category where you are cited at all — measures reach, not just frequency.

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Sentiment & Position

Whether you are named first, praised, listed as an alternative, or mentioned only critically — position and framing matter as much as presence.

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AI Referral Traffic

Clicks and conversions from ChatGPT, Perplexity, Gemini, Copilot, and Claude referrers in your analytics — the direct commercial outcome.

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Branded Search Volume

A leading indicator of AI-driven brand awareness: users who saw your brand cited but did not click often search for you later on Google.

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Direct Traffic Growth

Users who read an AI citation and then typed your URL directly — a hidden but measurable side effect of consistent AI citations.

Who Benefits Most

Built for Any Brand
Whose Buyers Ask AI First.

If your buyers are asking ChatGPT or Perplexity a question before they visit any website, GEO is not optional — it is the visibility strategy. We run this playbook across 15+ industries, tailored to how buyers in each one actually search.

You research heavily before buying

Categories where buyers spend real time comparing options — SaaS, financial services, healthcare, legal, professional services, high-consideration e-commerce.

You already invest in SEO

Strong existing SEO makes GEO faster because AI engines heavily weight sources that already rank well in traditional search. GEO protects the traffic your SEO earned.

You compete on expertise

If your differentiator is depth, methodology, or category authority, GEO is how you turn that expertise into citations that compound.

You have measurable buyer questions

Categories where "best X for Y" or "top 5 X" queries drive real evaluation traffic — the query shapes AI engines answer most confidently.

You are watching organic traffic soften

If you are seeing traffic dip as AI Overviews expand, GEO is the proactive response — becoming the citation inside the Overview rather than the link below it.

You want brand-safe growth

Every GEO tactic we use has published evidence or transparent methodology. No black-hat prompt injection, no fake reviews, no schema spam.

FAQ

Frequently Asked Questions
About Generative Engine Optimization

Generative Engine Optimization (GEO) is the practice of structuring your content, brand entity signals, and technical setup so generative AI engines like ChatGPT, Perplexity, Google Gemini, Microsoft Copilot, and Claude cite and recommend your brand when users ask questions. The term was formalised in a peer-reviewed paper by Aggarwal et al. (Princeton, Georgia Tech, IIT Delhi, Allen Institute) published at ACM SIGKDD 2024, which showed targeted GEO tactics can lift a source's visibility in AI answers by up to 40 percent.

SEO optimises a page for its position among ten blue links on a results page — the unit of success is a rank. GEO optimises a passage for its likelihood of being extracted and quoted inside an AI-generated answer — the unit of success is a citation. The signals that drive them are related but not identical: SEO rewards backlinks and keyword coverage; GEO additionally rewards fluency, named citations, statistics, and unique wording. You need both, because AI engines still weight sources that already rank well in traditional search.

GEO is the broader discipline covering visibility across all generative AI surfaces. AEO (Answer Engine Optimization) is the narrower slice focused specifically on becoming the extracted, quoted answer inside an AI response. Every AEO engagement is a GEO engagement; not every GEO engagement is purely AEO. We run them together and cover AEO in depth on our Answer Engine Optimization service page.

ChatGPT (including SearchGPT), Perplexity AI, Google Gemini and AI Overviews, Microsoft Copilot, and Claude. Each engine draws from a different source pool with different weighting rules, so we build a multi-surface citation strategy rather than optimising for a single platform.

Most clients see their first measurable citation lift within 45 to 60 days. Meaningful, compounding citation share across multiple engines usually arrives between months 3 and 6. GEO often moves faster than traditional SEO because AI engines re-index and re-rank their preferred sources more frequently than Google's core ranking system.

We track (1) Citation Share of Voice — how often your brand is quoted in AI answers for target queries versus competitors, (2) Query Coverage — the share of buyer questions where you are cited, (3) Sentiment and Position — whether you are named first or listed as an alternative, and (4) Attributed Traffic — clicks and conversions from AI referral sources. We also track branded search volume and direct traffic as indirect indicators, since a large share of AI mentions never generate a click.

No. GEO usually starts with a targeted subset of your highest-intent pages — pillar articles, product and service pages, comparison content — restructured at the passage level. The Princeton research showed that AI engines extract small chunks of text, not whole pages, so passage-level rewrites deliver most of the value without a site-wide overhaul.

The Princeton study tested nine tactics on around 10,000 queries. The strongest gains came from three: adding named citations (author or institution plus source), inserting relevant statistics with attribution, and rewriting passages for fluency without changing the underlying claims. Keyword stuffing was the only tactic that reduced visibility, dropping it 8 to 10 percent. Our engagements are built around the tactics with published evidence, not folklore.

Ready to Be the Citation?

Every AI Query That Cites Someone Else
Is a Buyer You Are Losing.

Get a free GEO Visibility Audit. We will run your brand through 100+ real buyer queries across ChatGPT, Perplexity, Gemini, and Copilot — mapping exactly where you are cited, where you are missed, and where competitors are winning. Real data, delivered in 24 hours. Prefer to talk first? Contact us.

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