Traffic in, revenue out.
LLM Citation Consultant: Get Cited by ChatGPT and Perplexity
Generative Engine Optimization
- Elementor100x$200K to $20M ARR as acquisition lead
- Riverside+337%MRR growth driven as a growth operator
- Across engagements$100M+ad budgets managed across paid social and search
What an llm citation consultant actually does
"Ranking on Google no longer guarantees you exist. If the AI models do not cite you, you are invisible to the buyers who ask them first."
Yaniv Goldenberg, fractional growth operator
Buyers ask ChatGPT, Perplexity, and Gemini before they ever reach Google. The model gives them an answer, names a few sources, and the rest of the market never gets seen. An llm citation consultant fixes the part most teams ignore: whether your brand is the source the model quotes. I work on getting you inside the answer itself, not on a blue link three scrolls down a page nobody opens.
I map agreed buyer questions, record the sources in current answers and implement the selected page, access and identity work. We then repeat comparable observations. I can ship the work; an engine decides whether its next answer includes or cites your brand.
Most pages were written for a person scanning. Language models read for extractable claims: a clear definition, a number with a source, a comparison stated plainly, a date. I restructure your highest-value pages so the model can lift a clean, attributable sentence. When the answer needs a source, yours is the cleanest one to grab. That is the whole game.
The work runs in three passes. First, measurement: I build a prompt set across your category and log who gets cited and who gets ignored, model by model. Second, structure: I rewrite the pages and add the schema, entity signals, and source-grade facts that make citation easy. Third, off-page: models pull from the wider web, so I get your claims into the third-party sources these systems already trust. Google's own structured data documentation is part of that foundation, and I implement it correctly rather than half-installed.
I have spent fifteen years connecting marketing work with revenue decisions, with acquisition work at Elementor during 100x ARR growth and $100M+ in media managed across my career. For AI search I record linked citations, mentions, observable referrals and qualified outcomes separately. Some answers produce no visit or attributable sale; that missing connection stays unknown.
Hire for a defined question about AI-search discovery or implementation. I personally investigate the agreed question set and pages, implement the selected content, access or tracking work, and document the evidence within your client or project scope. Later observations can improve, decline or remain unchanged; an absence alone does not reveal its cause.
I lead strategy and personally implement the agreed work. Scope, time commitment, capacity and availability are agreed for each client or project. We can plan continuing operation, a focused build or a documented handoff according to the work your team needs. The deliverables can include the question set, page checklist, markup templates and reporting method. We review source accuracy, actual answer observations and commercial evidence separately.
Frequently asked questions
What does an llm citation consultant do that a normal SEO agency does not?
SEO chases Google rankings. I chase whether ChatGPT, Perplexity, and Gemini cite you inside their answers. A page can rank first on Google and never get quoted by a model. I measure citation share per model, restructure pages so models can lift a clean attributable claim, and build entity and schema signals the models trust. The target is the citation, not the blue link.
How do you measure whether AI models are actually citing my brand?
I build a prompt set covering the questions your buyers type across your category, then run them through each model and log which brands get cited and which get ignored. I repeat this on a schedule so you see citation share move over weeks. Then I tie cited prompts to buying intent, sessions, and conversions, so you know which AI citations produce pipeline and which are noise.
Why are my competitors cited by ChatGPT and Gemini when I am not?
Usually three reasons. Their pages state facts in extractable, source-grade sentences while yours read like brochures. Their entity is recognized across the trusted third-party sources models pull from, and yours is thin. And their schema is implemented correctly while yours is missing or half-installed. I diagnose which of these is hurting you, then fix the highest-impact gap first instead of guessing.
How long until I see citations improve after starting the engagement?
Implementation timing depends on access, approval and the selected work. A released repair can be verified before any citation outcome is observed. Record comparable answer checks over the agreed window; engine behavior and third-party updates do not have a promised refresh cycle.
Do you only count mentions, or do you connect citations to revenue?
I connect them to revenue. A mention you cannot trace is a screenshot, not a result. I rank prompts by buying intent, track which AI answers send qualified people your way, and follow those sessions to conversions. I have managed $100M+ in budgets and took Elementor to 100x ARR by treating every channel as a pipeline question, and I treat AI citation the exact same way.
Can you guarantee ChatGPT will cite my brand?
No honest consultant can guarantee a model output. I can review access, accuracy, supporting evidence and structure, implement agreed changes, and record comparable answer checks. Inclusion and citation remain decisions of the engine.
How is this different from SEO?
SEO ranks a page on a list with a second page to fall back on. LLM citation work gets you named inside a synthesized answer where there is no second chance. The trust signals and measurement differ. See GEO vs SEO.
Which engines do you optimize for?
ChatGPT, Claude, Perplexity, and Google AI overviews, with monitoring across the major engines your buyers actually use.
Do you actually do this on your own brand?
Yes. I publish an annual benchmark on AI search visibility and monitor my own citation share. The methods I sell are the methods I run on myself first.
How do you measure success?
Citation-share monitoring: how often each engine names your brand across your priority buyer questions, tracked over time against a baseline.
How long until I see citations?
It depends on your starting authority and content. Structure changes can shift extraction quickly; earning trust and corroboration is a multi-month compounding effort.
What does it cost?
Diagnostic, infrastructure and embedded Operator pricing depend on the engagement. Scope, time commitment, delivery milestones and contract terms are agreed before work starts.
Do you also handle the wider GEO and AI marketing work?
Yes. Citation work is one piece of a broader GEO and AI marketing practice. See GEO and AI marketing.
Is there a minimum contract length for citation work?
My engagements are month-to-month with no minimum term, and either side can end the engagement with 30 days notice. Citation work runs as a focused project or a retainer, and scope, time commitment, delivery milestones and contract terms are agreed before work starts.
Why LLM citations are the new front page
Buyers increasingly start research inside an AI assistant, not a search box. They ask for a shortlist, and the model returns a handful of named brands with reasons. If you are not in that answer, you are invisible at the exact moment a buyer is forming their consideration set, and unlike a search result, there is no second page to climb onto. The shortlist is the whole game.
Getting cited is not the same as ranking on Google. Models synthesize answers from sources they trust, structured in ways they can parse, corroborated across the web. Generative engine optimization, or GEO, is the discipline of earning that trust and structure. It overlaps with SEO but is not the same craft. See GEO vs SEO.
What I do as an LLM citation consultant
Citable content architecture
Restructure your key pages so models can extract clean claims: direct answers, structured data, comparison tables, and FAQ blocks that map to how buyers actually ask.
Entity and authority signals
Schema, consistent entity identity, and the off-page corroboration that makes a model confident enough to name you.
Original, citable research
Models love to cite specifics. I help you publish data and benchmarks that become the source they quote, the way I do with my own AI search benchmark.
Citation monitoring
A pipeline that tracks when ChatGPT, Claude, and Perplexity start naming your brand, so the work is measured, not assumed.
How the engagement runs
Baseline audit
I measure how often the major engines name you today across your priority buyer questions, and where competitors are getting cited instead.
Structure and authority build
Rework citable pages, add entity and schema signals, and publish the original research that earns a citation.
Monitor and compound
Track citation share over time, double down on what gets quoted, and feed the data back into the next round of content.
I run this on my own brand first
I do not sell a play I have not run. I publish an annual benchmark on the state of AI search visibility and I monitor my own citation share across the major engines. The methods on this page are the methods I use to make my own brand show up when someone asks an AI which fractional CMO or GEO consultant to hire. Read the benchmark at the state of AI search visibility and the broader practice at GEO.
LLM citation work vs traditional SEO
| Dimension | Traditional SEO | LLM citation / GEO |
|---|---|---|
| Goal | Rank a page on a results list | Get named inside a synthesized answer |
| Surface | Ten blue links | A shortlist of a few brands |
| Second chance | Page two exists | None; you are in the answer or invisible |
| Trust signal | Backlinks and on-page | Corroboration, structure, entity clarity |
| Measurement | Rank tracking | Citation-share monitoring across engines |
Pricing
Citation work runs as a focused project or a retainer, and folds into a broader fractional or AI-marketing engagement.
An audit of your growth stack on an agreed timeline, plus a 90-day roadmap. Fixed scope; any follow-on retainer is agreed separately.
- Citable content rebuild
- Schema and entity signals
- Original research support
- Citation monitoring pipeline
Citation play inside a full fractional role. See fractional CMO.
Be the brand the AI names
Book a 15-min call. I will run a quick live check on how the major engines answer your buyer questions today.
Next step
Let's turn this into measurable revenue
Book a 15-min call. I will tell you whether this is your next move, or whether your money is better spent elsewhere.