The GEO agencythat engineers, cites, tracks, compounds, adaptscontent LLMs actually quote.
A GEO agency that engineers your content for citation in ChatGPT, Perplexity, Gemini and Claude. Citability patterns, entity authority graph, JSON-LD schema, weekly tracking on 30-80 strategic queries. Generative share of voice as a measurable number, not a vibe.
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
Attio
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude
Claude Code
Claude Cowork
Clay
Clickup
Cursor
Deepseek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Freepik Spaces
Gamma
Gemini
Glide
Grok
HiggsfieldGEO that actually moves citations stands on 4 pillars.
Most GEO pitches are buzzwords stapled onto a generic SEO retainer. The stack we deploy in 2026 treats citation count as a number on a dashboard, not a future-of-search slide, and engineers the four layers that compound to move that number.
- Citability
Content that LLMs actually cite
Generated answers cite content that's structured to be quoted: a TL;DR summary upfront, headings phrased as the exact questions users ask, quantified claims with source links in the first paragraphs, comparison tables, lists. We engineer every page that matters for citation, not for word count.
How we structure pages - Entity authority
Build the graph LLMs read
LLMs cite entities with authoritative coverage across multiple sources, not standalone pages. We build your entity graph: Wikipedia where eligible, Crunchbase profile, podcast appearances, team LinkedIn presence with worksFor markup, mentions in trade press. Without the graph, even brilliant content struggles to land citations.
See entity SEO - Schema + technical
JSON-LD, robots, AI bot signals
FAQ schema and HowTo schema on every page that warrants it. robots.txt explicitly allowing GPTBot, ClaudeBot, PerplexityBot, GoogleOther, Applebot. Author bylines with worksFor markup. Semantic internal linking that mirrors the entity graph. Small technical pieces, each amplifying the next.
See technical SEO - Measurement
Weekly citation tracking
Generative share of voice tracked weekly across ChatGPT, Perplexity, Gemini, Claude on 30-80 strategic queries via Otterly, Profound, AI Visibility, plus a manual sample to catch what automated tools miss. Server log analysis on AI bot traffic as a leading indicator of where citations are about to land.
What we measure
What a GEO engagement actually delivers.
- +60%AI citations after 4 months
On the queries we explicitly target. Measured weekly via Otterly, Profound and manual sampling across ChatGPT, Perplexity, Gemini, Claude. Directional benchmark — starting authority and industry shift the amplitude.
- 30-80Strategic queries tracked
Per client, refreshed monthly. The set spans informational (model answers), comparative (model cites a comparison table), and decision (model recommends a tool). The tracker tells you which queries shifted, which competitors gained, where the gap is.
- 0Guaranteed promise
GEO is moving ground. LLM algorithms shift every 2-3 months, citation behavior changes silently, measurement tools lag. We promise a stack that adapts faster than your competitors', not a position on a leaderboard.
Our 4-step build, from baseline to weekly tracking.
Same shape regardless of starting baseline. We measure where you are on 30-80 strategic queries, engineer the content that needs rewriting, ship the entity graph signals in parallel, then track weekly so the next month's backlog writes itself.
- Audit · current citation footprint in ChatGPT, Perplexity, Gemini, Claude on 30-80 strategic queries
- Engineer · content rewritten for citability + entity graph signals shipped in parallel
- Wire · FAQ schema, robots.txt for AI bots, semantic internal linking, worksFor markup on bylines
- Track · weekly citation report + monthly review of what to extend, retire, refresh
Generative share of voice is a number you can audit, not a vibe.
Most "GEO" offerings hand you a deck about "the future of search" and a generic content retainer. We hand you a number — your generative share of voice, week over week, per query — and the next 20 actions to move it. If a competitor steals a citation on a strategic query, you see it within 7 days, not next quarter.
- Citation count is measured weekly, not announced as a vague output
- Entity graph signals shipped in parallel with content — they amplify each other
- robots.txt explicitly allows GPTBot, ClaudeBot, PerplexityBot — no accidental blocking
- Monthly competitor gap analysis: which queries are shifting and why
We pull your current citations, you leave with a plan.
Before quoting anything, we spend 60 minutes auditing where you stand on 30 strategic queries across ChatGPT, Perplexity, Gemini and Claude. You walk away with a citation baseline you can show to your CMO and 3 quick wins to ship within 30 days. Zero pitch, just an outside look.
- Citation baseline on 30+ strategic queries across ChatGPT, Perplexity, Gemini, Claude
- Entity authority audit (Wikipedia eligibility, Crunchbase, press, LinkedIn coverage)
- Technical audit (FAQ schema, robots.txt, semantic internal linking)
- Top 3 quick wins actionable within 30 days
How we run a GEO engagement.
Five steps, in order, no skip. We don't rewrite content before the baseline audit is signed, we don't publish before FAQ schema and entity references are in place, and we don't bill a retainer before the citation tracker is set up and the first weekly report has shipped. Every step has a DOD and you approve before we move to the next.
- Step 1 · Citation baseline
Audit your current GEO footprint on 30-80 strategic queries
We pick 30 to 80 queries that matter for your business — a mix of informational queries (model gives a direct answer), comparative queries (model cites a comparison table), and decision queries (model recommends a tool category). We run each query on ChatGPT, Perplexity, Gemini and Claude, log who's cited, and build the baseline map: where you appear, where competitors appear, where nobody appears (the white space). You walk away with a one-page diagnostic and the top 3 quick wins to ship within 30 days.
- Step 2 · Content engineering
Rewrite or write content for citability, not for word count
Every page that matters for a strategic query gets the same anatomy: TL;DR paragraph at the top with the quantified answer in plain English, H2 and H3 phrased as the exact questions users ask, quantified claims with source links in the opening paragraphs (not buried at the bottom), comparison tables when the query is comparative, FAQ marked up as JSON-LD schema. The page reads cleanly to a human and parses cleanly for an LLM. Both audiences served.
- Step 3 · Entity authority
Build the entity graph LLMs use to decide who to cite
LLMs don't rank pages, they rank entities. Your company, your founders, your products, your industry, your geography, your case studies all need authoritative coverage across multiple sources before the model trusts the citation enough to surface it. We work in parallel with the content engineering: Wikipedia page when eligibility is clear, Crunchbase profile completed and verified, podcast appearances booked, team LinkedIn presence with consistent worksFor markup, mentions in trade press where the case is solid. Slow work, compounds over 6-12 months.
- Step 4 · Technical wiring
Wire the small technical hooks AI engines actually read
FAQ schema and HowTo schema on every page that warrants it. Semantic internal linking that mirrors the entity graph — a Claude agency page links to the Anthropic agency page, both link to the AI agency, the home, the labs review of Claude, in a circular reinforcement LLMs pick up as topical authority. robots.txt explicitly allowing GPTBot, ClaudeBot, PerplexityBot, GoogleOther, Applebot. Sitemap up to date. Author bylines with worksFor schema markup. Each piece tiny on its own, compounding when stacked.
- Step 5 · Track + iterate weekly
Track citations weekly, refresh the backlog every month
Citation tracking on the 30-80 strategic queries via Otterly, Profound and AI Visibility tools, plus a manual weekly sample to catch what automated tools miss (engines change behavior often, automated tools lag). Server log analysis on GPTBot, ClaudeBot, PerplexityBot, Googlebot AI traffic as a leading indicator of where citations are about to land. Content gap analysis monthly: queries where competitors are getting cited that we're not covering, articles decaying, entities needing a fresh signal. Action items written, shipped before the next review.
The same engine, across multiple client missions.
The frames below come from real weekly citation reviews with clients running GEO retainers: citation count refresh on the strategic queries, competitor gap analysis, entity authority signals to ship next, articles to refresh or retire. Same operational rigor, different industries, all in B2B SaaS and services. Our Trustpilot reviews come from the operators running these retainers.
- Weekly citation tracker shared in real time, no quarterly slide deck
- A competitor stealing citations on a strategic query triggers a content rewrite within the week
- Monthly entity authority signal — at least one Wikipedia / Crunchbase / press / podcast move
- Trustpilot reviews come from the marketing and CMO teams running the engine
The 10 questions we get asked on every call.
What's GEO and how is it different from SEO?
GEO (Generative Engine Optimization) is the discipline of getting your content cited inside answers generated by LLMs — ChatGPT, Perplexity, Gemini, Claude. Classic SEO optimizes for the Google ranking algorithm (keywords, backlinks, page speed). GEO optimizes for the citation behavior of LLMs (TL;DR structure, FAQ schema, entity authority, semantic clustering). The two overlap heavily — solid SEO is the foundation that makes GEO work — but the optimization techniques diverge meaningfully on the citability side.What's the difference between this GEO page and /agency/ai-seo?
Our /agency/ai-seo page covers the full SEO IA mix: classic SEO foundation, GEO content engineering, entity authority build, citation tracking. This GEO page focuses specifically on the engineering side of generative engine optimization — citability patterns, entity graph signals, schema markup, citation tracking. If you want the full retainer with classic SEO included, /agency/ai-seo is the better entry point. If you already have a solid classic SEO setup and want to layer GEO on top, this page is the right scope.How do you actually measure citations in LLMs?
Three layers. (1) Specialized tools: Otterly, Profound, AI Visibility, Athena run automated queries across the engines and report citation counts and rankings, refreshed daily or weekly. (2) Manual sampling: we run 30-80 strategic queries by hand on each engine each week and log who's cited (engines change models and citation behavior often, automated tools lag by weeks). (3) Server log analysis: GPTBot, ClaudeBot, PerplexityBot show up in your access logs with telltale user-agents — we track which pages they hit most often as a leading indicator of where citations are about to land.How much does GEO cost in 2026?
Depends on scope and starting baseline. A focused GEO mission (audit + content engineering on 10-20 strategic queries + entity graph kickoff) runs $8,000 to $20,000. A monthly retainer covering ongoing content engineering, entity build, citation tracking and competitor gap analysis starts around $3,000-$6,000/month. Watch out for agencies that promise top-3 in AI engines guaranteed — that's not how the technology works. Our approach: free audit first, then a price aligned with real targets.How long until we see citations move?
Honest answer: 3 to 6 months for the first measurable citation lifts (new pages start getting cited, rewritten pages re-indexed by the engines). 9 to 12 months for the entity graph signals to compound and produce steady citation lift on the strategic queries. GEO is faster than classic SEO at the page level (LLMs re-crawl and re-rank weekly), but the entity authority work needed for consistent citations takes the same 9-12 months as a domain authority build. No shortcut.What's an entity graph and why does it matter for LLM citations?
An entity graph is the network of named concepts an LLM associates with you — your company name, your founders, your products, your industry, your geography, your tools, your case studies. The model doesn't cite a page, it cites an entity with authoritative coverage across multiple sources. Building your entity graph means Wikipedia eligibility, Crunchbase profile, mentions in trade press, podcast appearances, team LinkedIn presence with consistent worksFor markup, semantic internal linking on your own site. Without the graph, even excellent content struggles to land citations because the model doesn't know what you stand for.Do I need to allow GPTBot, ClaudeBot, PerplexityBot in robots.txt?
Yes, if you want to be cited. The major AI engines respect robots.txt: if you disallow GPTBot, OpenAI's training and citation pipeline won't read your pages, and you won't appear in ChatGPT answers. Same for ClaudeBot (Anthropic), PerplexityBot, Applebot, GoogleOther. The tradeoff is that allowing them means your content is used to train the next generation of models. Most B2B teams accept the tradeoff — being cited beats being trained on for the few queries where this matters. We audit your robots.txt at week 1.What kind of content gets cited by LLMs?
Three patterns consistently land citations. (1) Quantified answers in the first paragraph: 'X is Y because of Z, with N% improvement based on…' — LLMs love quoting the precise sentence. (2) Comparison tables: when the query is 'X vs Y vs Z', the model often quotes the table directly. (3) FAQ-style Q&A with JSON-LD schema: the model picks up the structured Q&A and quotes the answer verbatim. Vague long-form content gets less traction. Specific, quantified, structured content gets cited.Can we measure ROI on GEO?
Yes, with caveats. Direct attribution is hard because LLMs don't always pass referral data the way Google does — a user reading a ChatGPT answer that cites you may not click through, but the impression still shapes their next move. We track three layers. (1) Generative share of voice: % of strategic queries where you're cited. (2) Referral traffic from ChatGPT, Perplexity, Gemini when the user does click through (typically 10-20% of citation impressions). (3) Brand search lift on Google after GEO ramp — users hear your name in an AI answer, then Google-search you. The three combined give a reasonable ROI picture.How long do we commit for?
Three formats. (1) Audit only: flat fee, 2 weeks, deliverable is the citation baseline and the ranked backlog. (2) Sprint: 3 months, we engineer the foundational rewrites and kick off the entity graph, hand over the playbook. (3) Ongoing retainer: 6-month minimum (GEO doesn't deliver in month 1, we won't bill for nothing), monthly cancellation after. No forced annual contract, no convoluted exit clauses. If we don't deliver, you stop.
Stop guessing about GEO. Measure your citations.
A 60-minute audit, your current citation baseline on 30 strategic queries across ChatGPT, Perplexity, Gemini and Claude, three quick wins to ship in 30 days. If your GEO is already running well, we'll say so and we won't sell you anything.