What can be improved?
People ask AI tools which provider to choose, what a service includes and how options compare. Your website should answer those questions with specific, accurate information: what you do, who it is for, how the work happens, what it costs or how it is scoped, and what evidence supports your claims.
For Google AI Overviews and AI Mode, Google says the established SEO practices remain relevant. A special AI file or a new schema type is not an additional requirement for appearing. Crawl access and clear content help establish a usable source; they do not guarantee selection.
Our scope
- Accessibility: inspect the public HTML, robots rules, response codes and discoverable links. Where possible, verify real crawler activity rather than relying only on a simulated user-agent.
- Identity: make the company name, service scope and contact details consistent, supported by truthful Organization and Service markup.
- Useful answers: explain buyer questions directly, with original evidence and links to primary sources where a technical claim needs support.
- Original proof: publish approved case evidence and explain its limits. Illustrations and internal pilots must be clearly identified.
- Observation: record what selected AI-search experiences actually say and which URLs they cite.
Measure mentions, citations and visits separately
| Measure | What it tells you | What it does not prove |
|---|---|---|
| Brand mention | The answer named the business. | That the answer linked to the website or generated a visit. |
| Source citation | The answer included a link to an EntAI page. | A stable ranking or a future citation. |
| Referral visit | Analytics recorded a visit with a recognizable referring source. | Every AI-influenced visit; some referrals are missing or unattributed. |
A repeatable AI visibility panel
First agree a set of real buyer questions, target language and market. For each observation, record the exact prompt, date, platform, product or model where shown, search mode, account context, answer and cited URLs. Keep consumer-product observations separate from API experiments.
Repeat the same panel on an agreed schedule and inspect changes, including incorrect claims about the business. Report the number of questions and runs behind any percentage. A small prompt sample describes those observations; it is not a measurement of the whole market.
Our measurement methodology explains how this fits alongside Search Console and GA4.
What requires human review?
Evidence collection and recurring checks can be automated once access is connected. Business claims, expert advice, case-study permissions and final publication still need an accountable reviewer. Automated content production should support a real service and answer a real question.
Questions before you start
Can you guarantee that ChatGPT, Claude or Gemini will recommend us?
No. AI-search products choose their own sources and answers. We improve the information available and report actual observations, including when the business is absent.
Is an AI crawler request proof that we were cited?
No. A fetch means content was requested. A citation requires an observed answer that links to the page. Training crawlers and search crawlers also serve different purposes.
Do FAQs or structured data guarantee AI inclusion?
No. Useful questions and accurate markup can clarify content for readers and machines, but neither guarantees an answer-engine citation.
Is this the same as monthly blog production?
No. Publishing more articles is only useful when they answer a relevant question with reliable information. We first identify gaps in service information and evidence, then agree whether new content is warranted.