Generative engine optimization consulting that gets your brand named in AI answers.
Generative engine optimization services built on first-party data from six B2B SaaS accounts. I measure where AI answers name your brand, cite it, or leave it out, then build the plan that changes the answer. AEO and LLM SEO are part of the same engagement.
Where your brand drops out of AI answers.
AI shortlists your competitors
Buyers ask ChatGPT for the best tools in your category and get three names. Yours is not one of them.
AI links to your page and recommends a competitor
Your page shows up as a source link while the answer recommends someone else. Buyers read the answer and skip the links.
ChatGPT gets your product wrong
It describes a feature you retired, a positioning you abandoned, or a competitor's strengths as yours.
Nobody can tell you where you stand
Dashboards show a visibility score that moves every week for no clear reason, and none of it maps to pipeline.
Why generative engine optimization matters now
Buyers ask AI assistants to shortlist vendors before they visit a single website. Whatever the answer says becomes the starting list. Generative engine optimization is the work of making sure your brand is in that answer, described accurately, and recommended for the right use cases.
Most of that answer is decided off your site. Across six B2B SaaS accounts I track, 88.7% of the sources AI cited about a category were independent third parties and only 2.6% were the brand’s own site. GEO consulting that only edits your pages misses most of the game.
How I approach GEO consulting
I start with measurement, because every claim after it depends on the baseline. A fixed, dated prompt set shows where you are named, where you are only cited, and where you are absent, next to your competitors. From there the plan splits into two tracks: retrofitting the pages AI already reads so they are easy to quote, and earning a place in the third-party sources models trust.
GEO, AEO, and LLM SEO are one engagement
Generative engine optimization, answer engine optimization, and LLM SEO are three names for the same work: getting your brand into AI-generated answers, across the same engines, measured on the same scoreboard. Whichever term brought you here, the engagement covers all of it. The full definitions are in what is GEO.
Answer engine optimization services: the page-level work
Answer engines reward pages that are easy to quote: the answer comes first, the passage stands on its own, the header matches the question, and the structured data says who is answering. AEO services apply that discipline to the pages that should own your buyers’ questions, one brief per page.
AI Overviews take top-of-funnel clicks first. Across five B2B SaaS accounts, broad informational clicks weakened while bottom-of-funnel demand held, so the same briefs also strengthen the commercial pages where buyers still click.
LLM SEO services: what the models believe about you
Before changing anything, find out what the models say. I ask ChatGPT, Claude, Gemini, and Perplexity the questions your buyers ask, record the answers, and note which sources each one leans on. That shows whether the problem is accuracy, presence, or ranking against competitors, and each needs different work.
Models form a picture of your brand from three inputs: your own pages, the entity signals that tie those pages to one company, and the much larger body of third-party content about your category. LLM optimization services work on all three.
What GEO consulting covers.
AI visibility baseline
- A dated prompt set for your category: best-of, versus, alternatives, and problem-first questions
- Named, cited, or absent across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews
- How each model describes your brand and category: accuracy, sentiment, and competitor mention share
Question research
- People Also Ask, AI Overview, and conversational prompts for your category
- Which questions trigger an AI answer today, and who gets quoted
Source analysis
- The third-party sources AI pulls from for your category: review sites, lists, forums, video
- Which of those you are missing from, and which ones are realistic to earn
On-site retrofits
- Answer-first structure, self-contained passages, and question-led headers on the pages AI already reads
- Entity consistency across your site, profiles, and structured data
- Crawler access, rendering checks, and llms.txt where it helps
Off-site plan
- A prioritized list of lists, reviews, and communities to show up in
- Owned research and first-party data worth citing
Measurement
- Re-measure the same dated prompts on a set cadence
- Top-of-funnel and bottom-of-funnel tracked separately
- Tie AI presence to referral sessions, demos, and pipeline where the data allows
How GEO consulting runs.
I measure whether AI names you or only cites you, find the sources the models trust, and plan the on-site and off-site work that changes the answer.
I set the baseline
A prompt set across ChatGPT, Claude, Gemini, Perplexity, and AI Overviews, scored on named versus cited for you and your competitors.
I plan the on-site and off-site work
Retrofits for the pages that should be quoted, and a source plan for the third-party sites the answers are built from.
Your team executes
Writers and developers ship the retrofits, PR and partnerships work the source plan, and I rerun the prompt set to measure it.
A named-versus-cited baseline and a roadmap.
A named-vs-cited baseline
Where you stand today for the prompts that matter, next to your competitors, with the date on it so progress can be measured honestly.
A GEO roadmap
On-site retrofits, off-site targets, and content to create, ranked by the likelihood of changing the answer.
Page-level briefs and specs
For each target question, which page should answer it, what the first sentence says, how the section is structured, and the schema and crawler specs that go with it.
What GEO work has shown.
Anonymized by industry. Each links to the full story where one exists.
GEO, AEO, and LLM SEO questions.
What are generative engine optimization services?
Generative engine optimization services improve how AI products like ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews describe and recommend your brand. The work covers measurement, on-site retrofits, off-site presence, and content that gives models something specific to repeat.
Are AEO services the same as GEO consulting?
Answer engine optimization services and GEO consulting are the same engagement under two names. AEO is the older term from the featured-snippet era, GEO comes from the 2023 research paper that named the practice, and both aim to get your brand into AI-generated answers, measured on the same prompt set.
What does LLM SEO mean?
LLM SEO means optimizing for how large language models like ChatGPT, Gemini, and Claude describe and recommend your brand. It is the same work as GEO, with the emphasis on what the models believe about your company, and ChatGPT SEO services are LLM SEO applied to one model.
What is AI search optimization?
AI search optimization is the same discipline under another name: making your brand the answer in AI-generated search results. AI search optimization services and GEO consulting cover the same work.
How is GEO different from SEO?
GEO builds on SEO. AI answers pull heavily from pages that already rank, so the fundamentals still matter; GEO adds prompt-level measurement, answer-first structure, and the off-site sources models trust.
How much do generative engine optimization services cost?
I quote GEO consulting after a fit call, because the price depends on the category and whether you want a one-time plan or ongoing work. The fixed-price starting point is the $5,000 SEO & GEO audit, which includes an AI visibility read.
Do you implement the changes?
No. I measure, prioritize, and write the briefs and specs; your team or a developer makes the changes. Off-site work like reviews and community presence stays with your team too, with a clear plan from me.
How long until AI answers change?
Retrofits to pages AI already reads can move within weeks: the HR-tech retrofits gained 18 points in 30 days. Earning presence in third-party sources takes longer, typically quarters.