Visibility Signal is the view in Opttab where we line up two lists that usually live in different tools. The first is the web searches AI models run while they answer your tracked prompts. The second is how your site performs for those same queries in Google Search Console and Bing Webmaster Tools: clicks, impressions, CTR and position, next to a visibility signal score.
We built it because of how assistants answer shopping questions. Models such as ChatGPT and Gemini can run web searches while they answer a prompt, sometimes several for one prompt. Those searches shape which pages the model reads before it writes. Your SEO team already knows how your site performs in classic search, and Opttab already connects to Google Search Console and GA4. We wanted the two sides on one screen.
Our view on SEO and GEO is simple: generative engine optimization does not replace SEO. It builds on crawlable, structured pages and adds goals search tools do not measure, such as whether an assistant mentions your brand or cites your page. Visibility Signal is where the two meet.
Where Visibility Signal lives
Open Prompts from the main navigation. Across the top you will see five tabs: Prompts, Responses, Search Queries, Visibility Signals and Funnel View. Visibility Signal works as a pair of tabs. Search Queries shows what the models searched for. Visibility Signals adds your search-console data to those queries.
We will take them in that order, because the second tab only makes sense once you have seen the first.
Step 1: Search Queries shows what the models searched for
The Search Queries tab opens with Top Searched Queries, a highlighted list of the searches AI models ran most often while answering your prompts. Below it is the full table, with a search box and a date range.
The columns, and what each one lets you compare:
Term Title: the query the model ran.
Visibility Score: a percentage with a dot meter, so you can scan which queries go with stronger or weaker visibility.
Volume: lets you rank queries against each other.
Model: which AI model ran the search, shown as an icon.
Sources and Citations: two columns you can scan for queries that do or do not connect to your sources and citations.
Last Seen and First Identified: dates that separate new queries from ones that keep coming back.
Two patterns stand out once you look at real data. First, the queries come in the language of the market, because we track prompts by country and language. Second, many are site: queries, where the model searches inside one retailer's or brand's domain. We read a site: query as a sign of which websites the model leans on for that question. If it keeps searching a retailer's site for your category and never yours, that retailer's product pages are part of your AI shelf.
Top Searched Queries lists the searches AI models ran most often. Notice the site: queries, where a model searched inside a single domain, and that queries appear in each market's own language.
Step 2: Visibility Signals adds your search data
Switch to the Visibility Signals tab. On the left, each row shows a Source, the Model and the Query. To the right are three blocks: Google Search Console (Clicks, Impressions, CTR, Position), Bing Webmaster Tools (the same four columns) and a Score column with the visibility signal score.
The search-console columns stay blurred until you connect the matching account. In their place you see "Connect to track signals from Google Search queries" and the same line for Bing search queries, each with a Connect button. Once connected, those columns fill in next to each query where your property has search data for it.
Until Google Search Console and Bing Webmaster Tools are connected, their columns are blurred and each block shows a Connect button. The query list already comes from your tracked prompts.
Step 3: Connect Google Search Console and Bing Webmaster Tools
You can connect from the Connect buttons on that tab, or from the dashboard. On the dashboard, open the Connections tab. It walks you through four steps: Visitor Analytics, Crawler Analytics, Webmaster Tools and CMS. Step three, Connect Webmaster Tools, asks for "Google Search Console, Bing Webmaster Tools, or both". Each step has Back and Skip, so you can pass over a source you are not ready to connect.
Connect the properties that match the site and markets you track in Opttab. If your prompts cover three countries and your Search Console property covers one, the rows for the other two will tell you less.
Webmaster Tools is the third of four connection steps. Connect Google Search Console, Bing Webmaster Tools or both.
How to read a row once it fills in
Each row answers a practical question: when an AI model searched for this, could it have found you. A few patterns we look for:
Strong in search, missing from the answer. You rank well and get clicks for a query the model ran, yet your Visibility Score for it is low. The model probably found you and chose another page. That points to GEO work on the page itself: a direct answer near the top, clear structure, valid structured data, and access for AI crawlers.
No impressions at all. The model searched for something your site does not rank for. That is a content gap, and often a page you have not written yet.
A site: query on someone else's domain. The model went straight to a retailer or a review site. Your work there is your listing on that site, your product data and outreach, not your own blog.
Read the score the way you read any visibility measure: as a direction over weeks, not a verdict from one day. The score is our own measure for lining up these signals, not an industry standard. Before you act on a move, check what changed in your search data and in your AI answers.
Turning signals into work
Visibility Signal is a starting point, so most rows lead to another screen. A query the models keep running with no matching tracked prompt is a candidate for Prompt Coverage, which shows which relevant prompts you are not tracking yet. To see how assistants describe you on the prompts behind a query, open Answer Engine Analytics and check mentions, citations and sentiment.
When you know what to fix, our GEO and AEO tools turn the finding into ranked actions, from crawl access, schema and canonicals to content and outreach. If you would rather ask than click, Opttab Chat has a Search-query gap skill. It compares the web searches AI engines run with your Google and Bing data, shows which queries source you and where you are absent, and suggests prompts worth adding.
What to know before you connect
Visibility Signal depends on your data. Google Search Console, Bing Webmaster Tools or both need to be connected and returning data before the search columns and score mean anything. The query list itself comes from the prompts you track, so a thin prompt list gives you a thin query list.
If you want to know whether Visibility Signal is included on your plan, ask us when you book a demo.
Getting started
Visibility Signal is one piece of the new Opttab. The launch post on the new Opttab gives the full tour across our four pillars: Discoverability, Visibility, Optimization, Agentic Commerce.
To see your search and AI numbers side by side, Start your agentic journey or Book a demo. Existing customers can open the new Opttab in the account they already use at app.opttab.com.
