Generative Engine Optimization Services: Get Cited, Not Just Ranked
Generative engine optimization services make a business the source Google’s AI Overviews, ChatGPT search and Perplexity actually cite — built on the crawler access, indexability, schema and content checks that are documented to matter, not on llms.txt tricks or invented “AI visibility scores.”
It is SEO’s next layer, not a replacement for it: Google’s own guidance says optimizing for generative AI search is still SEO, so our GEO work runs the technical foundation first and adds the AI-specific checks on top.
What generative engine optimization actually buys you
Generative engine optimization, GEO, is the work of making a business the source that Google’s AI Overviews, ChatGPT search, Perplexity and similar systems actually cite when someone asks the question your business answers — instead of only ranking a blue link for it. If you want the fuller definition, mechanics and how GEO differs from plain SEO, that lives on our GEO explainer; this page is about the service, not the definition.
What buying this from us gets you is not a trick or a plugin. It is a fixed, repeatable process — audit, fix the technical foundation, build the content that actually answers real questions, measure what is measurable, and iterate — run by the same team that runs it on our own companies before we ever sell it to a client.
We are not a general AI marketing shop for this page’s purposes — that broader positioning lives on our AI marketing agency page. This page is specifically about earning citations in generative answer engines, which is a narrower, more technical job.
Is GEO different from SEO, or just SEO with a new name?
Mostly the second, and we say that plainly because it is Google’s own position, not just ours. Google Search Central’s AI optimization guide states that optimizing for generative AI search is optimizing for the search experience, and is therefore still SEO. There is no separate, secret ranking system to game.
Google is explicit about what to ignore: publishing an llms.txt or other “special” AI markup file, chopping content into tiny chunks for AI, rewriting existing content just to please a model, and chasing inauthentic “mentions.” None of those move the needle on Google, by Google’s own account, and no third-party tool has access to Google’s internal ranking or AI systems — so anyone promising an exact “AI visibility score” tied to real ranking outcomes is guessing.
What is genuinely different is the standard the content has to meet to be lifted and cited cleanly, and the handful of AI-specific settings and checks layered on top of ordinary technical SEO. That combination — rigorous SEO plus the AI-specific layer — is what we sell. We do not sell AEO hacks.
What we actually do for generative engine optimization
The work is specific and auditable, not a bundle of vague promises. Here is what is actually in it:
- Crawler access audit. We check robots.txt for OAI-SearchBot, Googlebot, PerplexityBot, Claude-SearchBot and Bingbot, and treat Google-Extended and GPTBot as separate, deliberate training-data choices rather than something to block by accident.
- Indexability and snippet eligibility. A page has to be indexed and eligible to show with a snippet to be used as a supporting link in Google’s AI features at all — so we check for noindex, nosnippet and max-snippet settings quietly working against you.
- The Search Console AI control setting. Google’s Search generative AI control (rolled out sitewide 31 August 2026) can Include, Exclude or Inherit a property from AI Overviews, AI Mode and AI features in Discover — we check it is not sitting on Exclude by accident, left there by a previous agency or admin.
- Entity and Organization schema so engines can identify who is actually behind the answer, alongside real FAQPage markup on genuine FAQ content.
- Answer-first, first-hand, non-commodity content and hyper-specific pages built around the actual questions buyers type, sourced from Google autocomplete data through our free keyword tool — not invented search-volume numbers.
- Measurement through Search Console’s Generative AI performance report plus manual prompt checks run by hand in ChatGPT, Perplexity and Google.
- Lead capture on GoHighLevel, built through our GoHighLevel systems, so a citation that actually sends a visitor turns into a captured enquiry instead of a visit nobody notices.
How do Google, ChatGPT and Perplexity actually differ?
Each engine documents its own rules, and they do not match, which is exactly why a single “AI SEO” checklist copied across all three is unreliable. Here is what is actually documented, and where we are honest that it is not:
| What we check | Google (AI Overviews / AI Mode) | ChatGPT search (OpenAI) | Perplexity and other engines |
|---|---|---|---|
| Separate crawler for training vs. search inclusion | Google-Extended (AI training use) is separate from Googlebot (indexing). | GPTBot (training) is separate from OAI-SearchBot (search inclusion); each is controlled independently in robots.txt. | Not documented in the sources we cite. |
| A dedicated opt-out switch for AI answers specifically | Yes — Search Console’s Search generative AI control (Include / Exclude / Inherit). | No equivalent documented; access is controlled only through robots.txt. | Not documented. |
| Does llms.txt affect inclusion? | Explicitly ignored by Google Search — no help, no harm, per Google’s own documentation. | OpenAI’s crawler documentation describes robots.txt controls, not llms.txt, for search inclusion. | Not documented. |
| First-party performance report | Generative AI performance report in Search Console (impressions, by page, device and country). | No equivalent documented; manual prompt testing is the available method. | No equivalent documented; manual prompt testing is the available method. |
That last row is the practical takeaway: Google gives you a real, first-party report. ChatGPT and Perplexity do not, as far as any documentation says, which is why part of our measurement work is manual, repeated prompt testing rather than a dashboard.
What order the work actually happens in
The order is fixed, and we do not skip ahead to content because it is more visible work. First, a free audit: crawler access, indexing status, the Search Console AI control setting, and current structured data. Second, fix whatever the audit finds broken in the foundation — nothing built on top of a blocked or excluded site is worth anything.
Third, content: answer-first sections, real FAQs, and hyper-specific pages built around the exact questions your buyers ask, not generic category pages. Fourth, measurement through the Generative AI performance report and manual prompt checks. Fifth, iterate — GEO is not a one-time project any more than SEO ever was.
Can anyone guarantee a citation in ChatGPT or an AI Overview?
No, and we will tell you that before we take a fee, not after. Google says plainly that indexing and serving are not guaranteed, and that no third-party tool has access to its internal ranking or AI systems — which means any agency quoting you a guaranteed citation count is telling you something Google itself says it cannot promise.
AI Overviews also only appear when Google’s own systems judge them additive to the search, so a query can simply not trigger one at all regardless of how well a page is built. What we can control is whether a page is eligible to be the citation when an AI feature does appear — indexed, snippet-eligible, not excluded, and written so the answer can be lifted cleanly. What happens after that is the engine’s decision, not ours or yours.
How we measure whether the work is actually succeeding
On Google, the Generative AI performance report inside Search Console shows impressions — a link to your site shown inside an AI Overview or AI Mode answer — broken down by page, device and country. It reports impressions, not clicks, and we say that plainly rather than implying it measures more than it does.
On ChatGPT and Perplexity there is no equivalent first-party report documented, so measurement there means asking the real questions by hand, repeatedly, and tracking whether your business is the one named. We also run a free readiness checklist that scores crawler access, snippet eligibility and schema — a checklist of what is fixable, not a promised outcome, and not a substitute for Search Console’s own numbers.
Why trust us to run this for your business?
Because we run the same systems on companies we own before we sell the work to anyone else: RentaPóliza, Vive Polanco, Art of NOMA and Josh Stein Realtor. We are not describing a theory we read about; we are describing the checklist we run on our own sites.
Ciaobellamarketing.com itself allows OAI-SearchBot, ChatGPT-User, PerplexityBot, Claude-SearchBot, Google-Extended and Bingbot in its own robots.txt, and publishes its own llms.txt — not because Google rewards it, but because it costs little and other systems may still read it. We do not claim any number of past results here; we describe what we do and let the audit speak for your own site.
Verified 24 September 2026 against Google Search Central, Google Search Console Help, OpenAI, SparkToro/Similarweb and Pew Research Center
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Frequently asked questions
Do you offer generative engine optimization as something separate from SEO?
We sell it as one engagement, not two separate products, because Google’s own documentation treats optimizing for generative AI search as SEO. What we add on top of standard technical and content SEO is a specific set of AI-facing checks: crawler access for AI-specific bots, the Search Console AI control setting, and content written to be cleanly lifted and cited.
Can you guarantee a citation in ChatGPT or Google AI Overviews?
No, and any agency that says yes is promising something Google itself says it cannot guarantee. Google states plainly that indexing and serving are not guaranteed and that AI Overviews only appear when its systems judge them additive. What we commit to is the audit and the fixes; the citation decision belongs to the engine.
Should I keep an llms.txt file on my site?
Google has said explicitly that it ignores llms.txt for Google Search — it neither helps nor hurts. OpenAI’s crawler documentation describes robots.txt controls, not llms.txt, for ChatGPT search inclusion. We keep one on our own site anyway because it costs little and other systems may read it, but we never sell it as a ranking or citation lever.
Google removed FAQ rich results — does that mean FAQ schema is a waste of time?
FAQ dropdowns stopped appearing in Google Search results on 7 May 2026, so schema alone will not produce that visual result anymore. A real, well-written FAQ section still helps readers, and a clear, direct answer is easy for any engine to quote, which is why we keep building genuine FAQs rather than dropping them.
What does a generative engine optimization audit actually check?
Robots.txt access for the AI-specific crawlers, whether pages are indexed and snippet-eligible, the Search Console Search generative AI control setting, existing entity and Organization schema, and whether current content is answer-first and specific enough to be quoted rather than generic.
How do you measure whether GEO work is succeeding?
On Google, through the Generative AI performance report in Search Console, which shows impressions in AI Overviews and AI Mode by page, device and country. On ChatGPT and Perplexity, through repeated manual prompt testing, since no first-party report is documented for either. We do not report an invented single “visibility score” as a result.
Sources
- Google Search Central — Optimizing your website for generative AI features on Google Search Last updated 10 July 2026.
- Google Search Console Help — Search generative AI control Rolled out to all properties worldwide 31 August 2026.
- Google Search Console Help — Generative AI performance report (Search) Rolled out 31 August 2026.
- OpenAI — Overview of OpenAI Crawlers Describes OAI-SearchBot, GPTBot and ChatGPT-User controls via robots.txt.
- Google Search Central — Search documentation updates FAQ rich result deprecation notice, 8 May 2026.
- Pew Research Center — Google users are less likely to click on links when an AI summary appears in the results Published 22 July 2025. Browsing data from 900+ US adults; 68,879 Google searches in March 2025.
- SparkToro — In 2026, less than one third of Google searches still send a click Published 9 June 2026. Similarweb clickstream panel, US, January–April 2026.