GENERATIVE ENGINE OPTIMIZATION
GEO — Generative Engine Optimization
We position your brand 'inside the answer' across generative search engines like ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews: citable content architecture, a solid entity graph, and weekly measurable visibility.
Being inside the answer is now a stronger position than being clicked on.
Traditional SEO was a race for clicks on blue links, and a link that went unclicked produced no value. Generative search engines have inverted that equation: when a user asks ChatGPT, Perplexity or Google AI Overviews a question, the model pulls from tens of thousands of sources and compresses them into a single paragraph. If your brand, the frame you're categorized under, or your point of view shows up in that paragraph, the user has already formed a relationship with you 'inside the answer' — without ever clicking to your site. GEO doesn't leave that new layer to chance: by building citable content architecture, a verified entity graph, and weekly measurable visibility across 12 generative search engines, it turns your brand into a 'default component' of the machine's answer.
GEO OPERATING FRAMEWORK
A 6-layer 'Answer Layer' framework
We run GEO not as a one-time audit but as an ongoing operation that adapts to the weekly changing behavior of generative search engines. Each layer ties to a measurable output and an SOP you can take over.
DISCOVER
Prompt & entity mapping
Your category's 80-200 prompts, current brand mentions, entity graph health and competitor answer architecture are consolidated into a single baseline report. You see clearly where your brand stands across 12 LLM platforms.
ARCHITECT
Content & schema re-architecture
We convert your existing content into an answer-first structure: H2/H3 hierarchy, semantic chunking, schema.org + JSON-LD integration, an llms.txt manifest, FAQPage/HowTo/Article markup and canonical clarity.
PLANT
Citable source & entity placement
Rule-compliant Wikipedia/Wikidata edits, natural mentions in partner publications, additions to industry databases, integration into high-authority Reddit/Quora answers, and tier-1 publication placement strategy.
MEASURE
Weekly visibility tracking across 12 platforms
Brand mention rate, citation link share, sentiment, relative ranking and answer position; all visible in a single Looker Studio dashboard, live and auto-updated.
DEFEND
Brand defensibility & misinformation control
LLMs repeat outdated facts, confuse you with competitors, or misname your product. We spot these errors and fix them at the source (Wikipedia revision, partner errata, canonical contradiction). Model answers update in 60-90 days.
ITERATE
Monthly review + content map revision
Which prompts are progressing, which are regressing; at month-end we agree on a plan to close the gaps via new content / entities / sources. Newly launched LLM platforms are added to tracking once they cross a category threshold.
— CLASSIC SEO vs GEO
Same goal, different surface, unified gain.
Classic SEO and GEO don't replace each other; they feed each other. Merging the two into one operation is the new definition of category leadership.
| Criterion | Classic SEO | GEO | Roibase: both together |
|---|---|---|---|
| Form of gain | Blue link click traffic | Mention inside the generative answer | Visibility on both surfaces |
| Result surface | Google / Bing SERP 10 links | ChatGPT, Perplexity, Gemini, AI Overviews, Claude | 15+ surfaces (classic + generative) |
| Targeted behavior | User clicks the link | LLM cites the brand in the answer | Both click and citation simultaneously |
| Core signal | Backlink, keyword, E-E-A-T | Entity graph, citability, schema | Schema + knowledge graph + citable network |
| Measurement tool | Search Console + GA4 | 12-platform prompt queries | Looker Studio unified dashboard |
| Iteration cadence | Monthly / quarterly review | Weekly prompt pool tracking | Hybrid: weekly signal + monthly plan |
| Time to impact | 90-180 days of steady improvement | 45-90 days to reflect in model answers | 60-120 days combined effect |
| Investment defense | Fluctuates with algo updates | Model errors corrected in 60-90 days | Two-layer defense |
PROOF
Outcomes, measured
Weekly automated tracking across ChatGPT, Perplexity, Gemini, Claude, Grok, AI Overviews, Copilot, Kagi, You.com and 3 other platforms.
A live prompt pool tailored to your category, containing transactional, informational and comparison questions.
Average lift in brand mention rate across 6-8 prompt categories within the first 90 days.
For the free diagnostic, the report is in your hands within 48 hours of the request.
Secondary organic traffic effect from combining GEO + classic SEO (average of 6 clients).
Average time for Wikipedia/Wikidata/partner publication corrections to reflect in generative search engines.
WHAT WE DO
Engagement scope
Every offering is an outcome-based work package. Roibase blends strategy and execution inside a single team — no hand-offs.
Citability engineering
We structure content so that LLMs can summarize it in a single paragraph: clear definition + numerical data + primary source reference. Not TF-IDF, but semantic chunking + an answer-first paragraph pattern; this is the format most likely to enter the context window of models like GPT-4o, Claude 3.5 Sonnet and Gemini 1.5 Pro.
Entity graph & knowledge base construction
We simultaneously manage Wikidata, Wikipedia, Google Knowledge Graph, Crunchbase, LinkedIn company profiles and industry reference databases. We establish verifiable connections between brand name, founder, product, category and notable events; LLMs treat these links as 'proof of reality' and cite the content with more confidence.
Structured data + RAG-ready markup
Schema.org JSON-LD (Organization, Product, FAQPage, HowTo, Article), Q&A schema and semantic HTML5 structure give LLM crawlers clear signals. We also produce llms.txt and a custom vector-compatible content map — so models correctly understand which sections are 'meaningful on their own' while chunking your content.
Prompt landscape & share-of-voice analysis
We identify 80-200 real user questions in your category (transactional + informational + comparison). For each prompt we map which brands appear, how often, and with what sentiment — then turn it into a competitor-by-competitor share-of-voice table. The 'where are we missing' question gets answered with concrete numbers.
Multi-platform LLM visibility tracking
We run automated weekly prompt queries across 12 generative search engines: ChatGPT (GPT-4o, GPT-5), Perplexity, Google AI Overviews, Gemini, Claude, Grok, You.com, Kagi, Microsoft Copilot, Brave Leo, DeepSeek and Mistral Le Chat. For each query we measure brand mention rate, citation link share, sentiment and relative ranking.
AI Overviews & SGE optimization
Google's AI Overviews (formerly SGE) results are now the most visible surface on desktop Google. To be cited inside those boxes we optimize your content with: structured answer-first format, verifiable data citations, table/list/howto schema and E-E-A-T signals (real author, organization, source).
Citable source network
The sources LLMs cite are well-known: tier-1 publications like Wikipedia, Reuters, NYT; industry reference sites; academic papers; high-authority forums like Reddit/Quora. We build a partner publishing, PR and content seeding strategy to secure correct entity links and citations for you on these sources.
Conversational query optimization
Users now phrase LLM queries as natural sentences like 'I'm doing this, which X is best for me' instead of classic 2-3 keyword searches. We map out long-tail conversational query sets and ensure your content is written in the grammatical shape that answers those sentences naturally.
Brand defensibility & misinformation control
LLMs make mistakes — they repeat outdated facts, misposition competitors, misdescribe your product. We detect these errors and fix them at the source: Wikipedia edits, errata in partner publications, canonical contradiction on your own page. In 90 days, model answers usually update.
AI SEO playbook & team handoff
We merge classic SEO + GEO + content ops into a single operating manual. A 'GEO-ready content template' that lives in your content team's Notion/Confluence, a measurement dashboard, and a monthly review cadence make the process fully transferable to your team.
— WHAT THIS SERVICE EARNS YOU
Power gained from being in the answer — not from being clicked.
GEO isn't a 'visibility tune-up' but the shift where your brand becomes the default component of the machine's answer at the decision stage of your category. The following are the concrete outcomes of that transformation.
You become the category's 'default answer'.
When users ask platforms like ChatGPT, Perplexity and Google AI Overviews for a recommendation in your category, the model starts showing you among the top 3 cited brands. That position builds sustainable authority without any click race.
Your brand is mentioned before the purchase decision.
The vast majority of research-phase B2B buyers and high-LTV B2C shoppers now consult LLMs before the final decision. Being inside the answer at that phase means taking position at the very top of the classic marketing funnel.
You gain visibility that isn't click-dependent.
As paid media CPCs climb, the cost of every conversion rises; GEO, in contrast, positions the brand on a free surface. As you get cited inside the answer, brand recall lifts organically, and that recall feeds the conversion rate directly.
Your existing SEO investment produces twice the value.
The schema, entity and content engineering done for GEO also strengthens classic Google rankings. Teams running both in parallel captured an average of 18% additional organic traffic per article compared to pure-SEO clients.
You steer the narrative about your competitors.
You map which brands are cited in which tone and from which sources across the 80-200 critical prompts in your category, then deliberately grow your own share-of-voice. Competitors can't take your place while you're leading.
Misinformation and misposition get corrected.
Is ChatGPT misdescribing your product, confusing you with competitors, or repeating outdated information? We trace the error to its source and apply permanent fixes via Wikipedia/Wikidata/partner publications — model answers usually update within 90 days.
DELIVERABLES
What you receive at month-end
Every deliverable is measurable, usable and transferable to your team. We build a working system, not a slide deck.
Baseline GEO Visibility report
12 platforms × 80+ prompts baseline measurement, competitor comparison, sentiment analysis.
Entity Graph health audit
Map of gaps & errors in Wikipedia/Wikidata/Knowledge Graph entries, with a correction plan.
Prompt landscape database
A categorized, intent-tagged live list of 80-200 questions in your category.
Citability score — top pages
LLM-friendly score and correction recommendations for your 20 most important pieces of content.
Schema.org + JSON-LD implementation
Live deployment of Organization, Product, FAQPage, Article and HowTo schemas.
llms.txt + AI crawler manifest
A file that tells generative search engines 'how should our content be cited'.
Answer-first content template
A Notion/Google Docs template for your content team — applicable to every new article.
Citable source network map
A plan for which publications you should earn mentions in, at what ranking and in what tone.
Wikipedia/Wikidata edit package
Rule-compliant, sourced and approvable edit proposals (not copyright infringement, publishable).
Looker Studio visibility dashboard
Live dashboard across 12 platforms × prompt pool, auto-updated weekly.
Monthly iteration report
Mention/citation/sentiment trends, new prompts, next content recommendations.
GEO playbook (for your team)
A 25-40 page operating manual to transfer the operation to your team, including video walkthroughs.
— SERVICE SCOPE
What this service includes and excludes
A scope that sets expectations from day one. For every item not included, there is either another Roibase service, or we point you to the right partner.
What this service covers
- Automated weekly prompt querying and report generation across 12 generative search engines
- Setup, tagging and monthly refresh of a live 200+ prompt pool tailored to your category
- Full Schema.org JSON-LD implementation: Organization, Product, FAQPage, HowTo, Article, BreadcrumbList
- llms.txt manifest, semantic chunking pipeline and vector-compatible content map
- Rule-compliant, sourced edit proposals for Wikipedia & Wikidata and publication follow-up
- Tier-1 publication placement strategy, partner PR and citable source network management
- Authoritative answer sets on high-authority forums (Reddit / Quora / industry communities)
- Re-architecture of your current top 20 pages into answer-first format
- Looker Studio live dashboard: 12 platforms × prompts × metrics, auto-updated
- Monthly iteration report + quarterly strategic review
- 25-40 page enterprise GEO playbook + team handoff with video walkthrough
- Brand defensibility: source-level correction of misinformation in model answers
What this service doesn't cover
- Google Ads, Meta Ads, TikTok Ads or other paid media operations (separate service: PPC)
- Rewriting your entire content catalog from scratch (separate content operations engagement)
- A guarantee of owning a Wikipedia page (editorial rules prohibit such commitments)
- Direct intervention on the LLM models themselves — technically impossible, nobody can do it
- Black-hat / spam / manipulative techniques (they weaken the brand's long-term defense)
- Exiting after a one-time audit without ongoing measurement (the system doesn't produce value unmeasured)
- Artificial link building from low-authority & spam sites (both AI and Google filter it out)
- Full-scope classic SEO operations (can be added as a bundle on request)
HOW WE WORK
Infrastructure in the first 6 weeks, then continuous iteration + team handoff
Week 1 — Diagnostic & baseline
Live baseline measurement with 80+ prompts across 12 LLM platforms, a share-of-voice report for your category, entity graph health audit, citability score for your top 20 pages and a map of competitor answer architecture. Output: a single 20-30 page kickoff report + live dashboard.
Week 2 — Strategic priorities & 90-day roadmap
A 90-day roadmap built on the baseline data: highest-leverage prompt clusters, most critical entity gaps, quick-win content edits and tier-1 source targets. Priorities are set by business impact and resource decisions are made together.
Weeks 3-4 — Structural content & schema engineering
Schema.org JSON-LD implementation (Organization, Product, FAQPage, HowTo, Article), llms.txt manifest, semantic re-chunking pipeline, conversion of your top 20 pages into answer-first format, and deployment of the 'GEO-ready content template' into Notion/Confluence.
Weeks 5-6 — AI Overviews & Featured Answer hardening
We pull content into the answer-first pattern to be cited inside Google AI Overviews and Featured Snippet boxes, validate table/HowTo/FAQ schemas, resolve canonical contradictions, and tighten the E-E-A-T signal layer (real author, organization, source).
Month 2 — Citable network & entity build
Rule-compliant Wikipedia/Wikidata edits, registration in industry reference databases, partner publication placements, authoritative answer sets on high-authority Reddit/Quora, and brand disambiguation clarity. Every placement is sourced and verifiable.
Month 3 — Content production cadence & first 90-day report
8-12 new 'answer engine optimized' articles per month; each built with the GEO-ready template, wired to the measurement system and baseline-compared. The first 90-day report: per-prompt mention lift, sentiment change, competitor-comparison table.
Month 4 — Defensibility pass & misinformation sweep
Systematic scan for outdated/incorrect/confused information in LLM answers; source-level correction for each error (Wikipedia revision, partner errata, canonical contradiction). Model answers update in 60-90 days and brand defense activates.
Month 5+ — Continuous iteration & team handoff
Monthly review cadence refreshes the prompt landscape, new LLM platforms are added, content production continues. By month 6 the operation becomes fully transferable to your internal team via a 25-40 page GEO playbook + video walkthrough.
— ECOSYSTEM
Platforms & tools we use in GEO operations
12+ active tools and APIs, orchestrated for tracking behavior across generative search engines, content engineering and entity graph management.
TRACKING & MEASUREMENT
CONTENT & SCHEMA
ENTITY & KNOWLEDGE
REPORTING & WORKFLOW
QUESTIONS
Frequently asked
— GLOSSARY OF TERMS
Quick glossary of the GEO world
AI assistants feature a brand the moment they feel they 'know' it. The concepts that build that familiarity are usually discussed together; before we start work, we share this short glossary so we speak the same language.
- Generative Engine Optimization (GEO)
- Users now get answers not from Google but from generative search engines like ChatGPT / Perplexity / Gemini. GEO is the applied discipline that ensures the brand appears inside those AI-generated answers as a correct, frequent and preferred source.
- AI Overviews
- The summary-answer block generated by Gemini that appears at the top of Google's search results page. When an AI Overview appears on a query, traditional blue links get pushed far below the fold; consequently, being cited inside the Overview is usually more valuable than being ranked first on the page.
- Citation (source attribution)
- The URL or institution name a generative engine bases its answer on and often displays visibly. A score like 'the 2nd citation on Perplexity' is the GEO equivalent of the classic 'what's your organic ranking' question; it is the primary metric for measurement.
- Entity graph
- The semantic network that defines your brand as interconnected entities: 'Company X operates in sector Y, is founded by person Z, offers product W'. LLMs reason from this relationship map rather than raw text; if the graph is fragile, the answer comes out distorted.
- Schema.org JSON-LD
- The structured-data format that renders page content machine-readable (Organization, Service, Product, Article, FAQPage, HowTo, etc.). It prevents the LLM from seeing raw HTML as 'raw food' and lets the page pour directly into the graph.
- llms.txt
- A plain text file placed at the root of your site that tells LLM crawlers 'here are this brand's most critical pages, canonical definitions and citable sources'. The AI-era counterpart of robots.txt; not yet a formal standard but read by major actors, Anthropic among them.
- Semantic chunking
- The technique of splitting long-form content into paragraph/section units — with topical coherence preserved — that an LLM can cite as a 'single-breath answer fragment'. Well-chunked content always earns more citations than a poorly structured 5,000-word blog post.
- Answer-first writing
- A content approach that gives the answer to a question in the first sentence of the paragraph, then opens supporting context. Because LLMs weigh 'top-of-chunk' position heavily, keeping the TL;DR at the top of the piece directly boosts GEO performance.
- E-E-A-T
- Experience, Expertise, Authoritativeness and Trustworthiness — the framework Google, and now LLMs, use to assess source quality. Author identity, company address, references and the external publication chain all feed into this score.
- Share of Voice (SoV)
- Your brand's visibility rate relative to competitors' visibility rates, weighted across an industry-specific prompt pool (e.g. 200 critical queries). It is the 'market share' metric of GEO and is tracked month over month.
- Prompt pool
- A fixed list of 50–300 prompts that your target audience actually asks generative engines and that you want your brand to appear in. Run weekly against the dashboard, it's how visibility / citation / tone metrics are reported.
- Hallucination defence
- The discipline of correcting a case where the LLM produces false information about the brand — at the source: Wikipedia / Wikidata edit, an 'authoritative correction' block on your own site, errata in a third-party publication. Model answers update within 60-90 days of the correction spreading.
- INP (Interaction to Next Paint)
- A Core Web Vital that replaced FID in 2024 — measures the longest delay across all the user's interactions on the page. Below 200 ms is "good"; the usual culprit is heavy JS blocking the main thread, fixed via code-splitting, off-thread work and main-thread budgeting.
- LCP (Largest Contentful Paint)
- A Core Web Vital that measures when the viewport's largest element (image, video poster, big text block) becomes visible. Under 2.5 s is "good"; improved with CDN, modern image formats (AVIF/WebP), preload hints and reducing render-blocking CSS.
- CLS (Cumulative Layout Shift)
- A Core Web Vital that scores the cumulative unexpected layout shifts during page load. Below 0.1 is "good"; the usual offenders are images without dimensions, late banners and web-font swaps. Fixed with width/height, reserved space and font-display.
- TTFB (Time to First Byte)
- The time from the browser sending the HTTP request to receiving the first byte. Not a CWV itself but the floor for LCP/INP; kept low by serving from a CDN near the origin, edge caching and removing unnecessary redirects. Under 800 ms is healthy.
- FCP (First Contentful Paint)
- The moment the browser paints the first meaningful content (text, image, SVG) on screen. Critical for the "something's loading" perception; good is below 1.8 s. Inlining critical CSS and deferring render-blocking JS are the key levers.
- PageSpeed Insights
- Google's free tool that measures a URL's performance both in lab (Lighthouse) and field (CrUX real-user data). Separate mobile and desktop reports; the reference for CWV pass/fail and remediation hints. Most teams pipe the weekly trend into Looker Studio.
— DECISION TREE
Is GEO right for you now?
Four short questions. Takes 30 seconds — at the end we tell you the right starting point for your brand: GEO, an SEO foundation first, or a unified program.
01 / 04
Has your organic search traffic declined over the last 6–12 months?
Check the total clicks or impressions trend in Google Search Console.
— LET'S BEGIN
How do ChatGPT, Perplexity and Gemini describe you today?
With our free GEO Diagnostic, we measure your brand's visibility on 10 critical prompts. Within 48 hours, you receive a report covering which platforms you appear on, how far ahead or behind your competitors you are, and the quick-wins that can be closed in the first 30 days.