What does AI Search Visibility check on each page?

Six requirements, each tied to a stage in the pipeline. Each one is tested before and after.

Passage independence

What the system does
Passages are selected, summarized one by one, then verified one by one.
What the page needs
Every H2 block opens with a declarative that answers on its own.
How it is tested
Lift each block out of the page. Does it still make sense?

One fact per sentence

What the system does
A summary sentence is matched to a passage by meaning.
What the page needs
Each verifiable claim sits alone with entity, attribute, and value.
How it is tested
Sentence audit on the core pages.

Corroborated wording

What the system does
Confidence rises with the number of trustworthy documents that agree.
What the page needs
Consensus facts in the wording the field uses. Unique claims followed by their evidence.
How it is tested
Cross-source check for each core claim.

Author and organization identity

What the system does
Trust is read from author, domain, and inbound links.
What the page needs
A named author with a profile on every page. An identity block one click away.
How it is tested
Identity audit across templates.

Image text agreement

What the system does
Captions and text inside images are read as content.
What the page needs
Every diagram and screenshot carries text that agrees with the page.
How it is tested
Image audit.

Next-step coverage

What the system does
The system generates drill-down and next-step queries.
What the page needs
The three to five follow-up questions each have a block or a page.
How it is tested
Augmentation map per core query.

How does AI Search Visibility work?

Generative systems cite passages, not pages.

Google's filing on its generative search describes selecting a handful of documents per query. The filing then describes splitting them into passages and linking each summary sentence to a passage that verifies it. Confidence rises with the number of trustworthy documents that agree. The work here makes every passage on the site pass that check.

How does an AI Search Visibility engagement run?

  1. Prompt set and baselineA fixed prompt set per core query, run on each system. The record shows which sentences cite the site and which cite competitors.
  2. Structural fixesIds on every block, author and identity blocks, caption blocks, the sentence rewrite on core pages.
  3. Corroboration passCore claims checked against authoritative sources. Consensus wording adopted. Evidence attached to claims only this site makes.
  4. Augmentation coverageNext-step questions answered on the page or in the cluster.
  5. Re-run and reportThe same prompt set, monthly. The sentence-level record is the report.

Which Google documents does AI Search Visibility build on?

Patents describe systems Google has invented. They are not confirmed ranking factors. The work is built so a page passes the check each document describes.

Who is AI Search Visibility for?

Brands whose buyers ask an AI before they search

The answer names three vendors. The work is being one of them.

Publishers and knowledge sites losing clicks to AI answers

Being cited is the remaining path to the click, and to being named.

Healthcare, finance, and legal sites

Generative answers in these fields draw from sources with visible authorship and corroborated claims.

Not the right fit

A site with no pages to cite yet. A new site starts with the architecture. AI visibility is a layer on pages that exist.

How is AI Search Visibility priced and delivered?

Shape
Project or monthly
Pricing basis
Project for the structural pass; monthly for the prompt set, corroboration, and coverage
What you receive
The sentence-level citation record, updated each month

Exact scope is quoted in writing after the strategy call. How semantic SEO is priced.

Questions about AI Search Visibility

Can you guarantee citations?No. The systems choose. The work makes every passage on the site a candidate that passes the checks those systems describe. The record shows which sentences get cited and which do not.
Is this the same as GEO or AEO?Same work, different labels. GEO, AEO, and LLM SEO all name the structural layer this service fixes. The label changes nothing in the method.
Do we need schema markup?Schema supports the identity checks. Schema does not replace named authors and visible facts. A page with perfect schema and anonymous text is still anonymous.
Does this change our Google rankings?The same structure serves both. Passage ranking, deduplication, and the reviews system are deployed Google systems that read the same units. Nothing here trades one for the other.
Does Search Console show AI traffic?Partly. Search Console's generative AI features report covers Google's surfaces where available. No tool shows all of it. The prompt-set record, run by hand or by script, stays the measure.
Which systems do you check?AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, and Claude. The set is fixed at the start and does not change during the engagement, so the months compare.
What access does the work need?Edit access to the CMS for the structural fixes, or a developer on your side who applies them. Read access to Search Console. Author names and profile facts from your team.
Who writes the author profiles?Your team supplies the facts: names, roles, credentials, and profile links. We write the profile pages and the identity block from those facts. No author is invented.
Which existing pages get the sentence rewrite first?Existing pages are the raw material. Core pages get the sentence rewrite first. Other pages follow in the order of the queries they serve.
Does this work for pages in other languages?Yes. The prompt set is built per language. Each language version gets its own citation record.
Does AI Search Visibility need Authority Signals too?Not always. The filing names inbound links as one trust input among three. Author and domain identity are fixed in this service, and links belong to Authority Signals.