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.
Where this usually starts.
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.
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.
One offer, three names
Generative engine optimization, answer engine optimization, and LLM SEO describe overlapping parts of the same work. Whichever term brought you here, the engagement is the same: measure the answer, change the inputs, re-measure. See AEO services and LLM SEO services for how each angle is framed.
The scope, start to finish.
AI visibility baseline
- A dated prompt set for your category: best-of, versus, alternatives, and problem-first questions
- Named, cited, or absent across ChatGPT, Gemini, Perplexity, and Google AI Overviews
- Competitor mention share for the same prompts
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 specific claims on the pages AI already reads
- Entity consistency across your site, profiles, and structured data
- Crawler access and rendering checks so AI crawlers can read the content at all
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
- Tie AI presence to referral sessions, demos, and pipeline where the data allows
Strategy, specs, and briefs.
I find what's holding you back, decide what matters most, and tell your team exactly what to do about it. Your team, or a developer you hire, ships it. One-time project or ongoing, both work.
I diagnose and prioritize
Every issue and opportunity, ranked by impact against effort, so the first thing your team works on is the thing that moves the number.
I spec the fixes and write the briefs
Technical fixes written for a developer to act on, and content briefs written for a writer to execute, with the keyword research behind them.
Your team ships it
I don't edit your CMS or write your code. If you need a developer, hire one; I'll tell them exactly what to build and review it after.
A plan your team can run.
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.
Briefs and specs
Retrofit briefs for existing pages and specs for structured data and crawler access, ready for your team.
Results from real programs.
Anonymized by industry. Each links to the full story where one exists.
A few questions people actually ask.
What are generative engine optimization services?
Generative engine optimization services improve how AI products like ChatGPT, 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.
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?
It depends on the category and whether you want a one-time plan or ongoing work, so I quote after a fit call. 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.