Generative Engine Optimization for AI Search
LLM brand visibility services make sure AI assistants describe your pricing, features and leadership correctly. Omeiro audits four AI models, writes an authoritative fact sheet, adds schema and spreads verified details across trusted sources such as Wikidata and high-trust profiles.
What the report can look like
A short preview of how we group and rank what we find. Every name and number here is made up. Your report uses your own data.
example-shop.test
Issues by area
Checked
- Crawling
- Indexing
- Speed
- Mobile
- Structured data
- Titles & headings
- Internal links
- Duplicate content
Fix first
Blog section blocked in robots.txt
TechnicalHigh impactLow effort12 pages have no meta description
On-pageHigh impactLow effortProduct images over 1 MB slow phones down
TechnicalMedium impactLow effortTwo pages aim at the same search term
ContentMedium impactMedium effort
Sample only: a made-up site and made-up findings to show how issues are grouped and ranked. A report shows what to fix; it is not a promise of rankings or sales.
What you get with generative engine optimization
Fixing model hallucinations regarding your company pricing, features, and leadership. Distributing authoritative verified entity data across Wikipedia, Wikidata, and high-trust press portals.
Basic Package
Brand audit in 4 AI models; fact sheet; schema. 7-day delivery, 2 revisions.
Standard Package
Plus Wikidata; 10 high-trust profiles corrected. 14-day delivery, 2 revisions.
Premium Package
Plus 2 press releases on high-trust sites; 60-day answer tracking. 30-day delivery, 2 revisions.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Ad spend and tool subscriptions are paid by you, straight to each platform. Results depend on many things outside anyone's control, so we report plainly on what was done.
How our generative engine optimization works
Audit the answers
We record what four models say about your company.
Write the facts
A verified fact sheet and structured data are prepared.
Publish and correct
Wikidata and profile corrections are made where your package includes them.
Track
Premium follows AI answers for 60 days.
LLM brand visibility: facts worth publishing first
Not every fact deserves equal effort. In llm brand visibility work the priority is whatever buyers ask assistants about: what you sell, what it costs, who runs the company, where you operate and how you differ from alternatives. Gather your current price list, product names, leadership bios and registered company details before ordering. Anything vague or contradictory between your own pages will reappear in model answers, so we flag those conflicts first.
Models weigh sources differently, which is why one page on your site is rarely enough. A fact sheet, structured data, a Wikidata record and corrected third-party profiles reinforce each other. A frequent error is updating the website but leaving directories showing the old details. Good llm brand visibility closes those gaps, then repeats the same questions later to see whether the answers have moved.
In short
- Delivery in 7 to 30 days, by package.
- Fixed price, shown before you order.
- Startups wanting ai brand accuracy optimization before a launch.
- Copyright yours after full payment.
Generative Engine Optimization: common questions
How much does generative engine optimization cost?
Prices are fixed and shown by package on our Generative Engine Optimization pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does AI brand accuracy optimization take?
Delivery depends on the package: Basic 7-day delivery; Standard 14-day delivery; Premium 30-day delivery.
What is included in the Basic Package?
The Basic Package includes: Brand audit in 4 AI models; fact sheet; schema. Higher packages add more scope, revisions and support.
Can I get a custom brand data for AI models package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
Do I need a Wikipedia page?
No. Standard uses Wikidata, which has lower eligibility barriers.
Which facts do you cover?
Typically pricing, features, leadership and company basics. Tell us what is wrong.
Will you invent claims?
No. Every fact is based on information you supply.
Why does ChatGPT get my company details wrong?
Models often fill gaps from old or inconsistent sources. Outdated pricing pages, unclaimed profiles and conflicting directories are common causes, and an audit shows which ones apply to you.
What is Wikidata and why does it matter for AI?
Wikidata is an open, structured database of facts about organisations and people that many systems can read. A correct entry gives machines a clean reference for your basics.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your generative engine optimization?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.