New this week, we have just shipped Opportunities, a ranked list of the pages and prompts most likely to improve your AI-search visibility if you act on them. It scores three signals - prompts where you are missing citations, prompts where rivals are gaining ground, and prompts where you are close to breaking through - and orders them so you can start at the top. It is aimed at growth and search-marketing leaders who have more visibility data than they have time to act on it.
Most teams do not lack AI-search data. They lack a defensible answer to the question "what do we do on Monday?" Opportunities exists to close that gap.
What is Opportunities?
Opportunities is a prioritisation view inside the WriteWorks AI-search visibility workspace that ranks the pages worth creating or fixing next, based on where your brand is absent, slipping or nearly cited. Instead of reading every prompt, engine and citation report and forming a hypothesis by hand, you open one ordered list and work down it.
Each entry tells you what kind of work it implies - create something new, or strengthen something that already exists - and shows the prompts and engines behind the recommendation, so the reasoning is inspectable rather than a black box.
How Opportunities works
Opportunities is built on the prompt- and citation-level data WriteWorks already collects when it runs your tracked prompts across supported AI engines. It does not introduce a separate data set; it reinterprets the one you have through the lens of likely upside.
Three signal types drive the ranking:
- Missing citations. Prompts where your brand or domain is not cited at all, despite being relevant to the topic. These usually point to a page that does not exist yet, or exists in a form engines are not picking up.
- Competitive loss. Prompts where competitors are cited and you are not, or where their presence is growing relative to yours. These connect directly to the competitor share of voice picture and often point to a page that needs to be materially better, not merely present.
- Near misses. Prompts where you appear inconsistently - cited by some engines and not others, or cited intermittently across runs. These are usually the cheapest wins, because the underlying asset already has some traction.
Each opportunity carries a score so the list can be ordered, plus the supporting detail: the prompts involved, the engines where the gap shows, and the sources currently being cited instead of you. It is a prioritisation aid, not a guarantee - engines change their behaviour, and acting on an opportunity improves your odds rather than assuring an outcome.
Two things Opportunities deliberately does not do: it does not write the page for you, and it does not silently change your tracked prompts. Publishing decisions stay with your team.
Who Opportunities is for
It is especially useful if you:
- Own AI-search visibility as a KPI but split your week across several other channels, and need a defensible order of work.
- Run a content roadmap that is currently driven by keyword volume alone, and want AI-citation gaps factored in.
- Manage several brands or business units and have to justify where limited writing capacity goes each sprint.
- Have inherited a large existing library and need to know which pages to strengthen before commissioning anything new.
Advanced users benefit too. If you already run your own gap analysis, Opportunities is a fast second opinion - and the underlying prompts and sources are all one click away, so you can disagree with the ranking and see exactly why it landed where it did.
What Opportunities changes
The practical shift is from interpretation to execution. Previously, spotting a gap meant cross-referencing your visibility trend, your citation tracking across AI engines and your competitor reports, then deciding for yourself which gap mattered most. Opportunities does that first pass and hands you an ordered queue.
It also changes how these conversations go internally. "We should write more about X" becomes "here are the prompts where three competitors are cited and we are not, across two engines" - which is a far easier case to take into a roadmap review or a budget meeting.
How to use Opportunities
1. Open your workspace and select Opportunities in the AI Search Visibility section.
2. Review the ranked list from the top. Each row shows the opportunity type and its score.
3. Open an entry to see the prompts, engines and currently cited sources behind it.
4. Decide the action: create a new page, or improve an existing one. Cross-check candidates against per-URL performance in Page Analytics before you commit.
5. Brief the work through your normal process - including WriteWorks' AI content optimisation tooling if you use it - then publish and let the next tracking runs show whether the picture moves.
Availability: Opportunities is live in the AI Search Visibility area of the platform for workspaces with tracked prompts. Placeholder: confirm plan tiers and release date before publishing - see [WriteWorks pricing.]
Requirements: at least one tracked prompt set with completed runs, so there is citation history to score against.
Tips for a better result
- Fix near misses first. An asset with partial citation coverage usually needs editing, not commissioning, and turns around faster.
- Sense-check the prompt list before you act. If a prompt does not reflect real buyer language, refine your set using prompt research rather than building against it.
- Treat competitive-loss entries as quality problems, not volume problems. Being cited less than a rival on the same topic rarely gets solved by adding another thin page.
- Re-check the list after each publishing cycle. The ranking moves as engine behaviour and competitor activity change.
Frequently asked questions
What data does Opportunities use?
Opportunities uses the prompt and citation data already collected by WriteWorks when it runs your tracked prompts across supported AI engines, plus the competitor citation data from the same runs. No new tracking setup is required. If a workspace has no completed runs, there is nothing to score and the list will be empty.
How is an opportunity scored?
Each opportunity is scored on the strength of the signal behind it: whether your brand is absent from relevant prompts, whether competitors are cited where you are not, and whether you are cited inconsistently rather than reliably. The score exists to order the list, and the supporting prompts and sources are always visible.
Does Opportunities tell me exactly what to publish?
No. It tells you which topics and prompts have the clearest gap, which engines show it, and which sources are being cited instead of you. The editorial judgement - format, angle, depth, whether to create or revise - stays with your team. Google's own guidance on how AI features surface content still applies to the page you produce.
How does this differ from citation gap analysis?
Citation Gap Analysis focuses on the sources citing your rivals but not you - a domain-level view. Opportunities is page- and prompt-level: it ranks the assets you should create or improve. The two are complementary, and many teams use gap analysis for outreach targets and Opportunities for the content roadmap.
Will acting on an opportunity guarantee more citations?
No. AI engines decide independently what to cite, and their behaviour changes over time. Opportunities improves the odds by pointing effort at the clearest gaps rather than guessing, and subsequent tracking runs show whether visibility on those prompts actually moved. Google's documentation on AI features and your website sets out the technical conditions that make content eligible in the first place.
The bottom line
Opportunities turns AI-search visibility data into an ordered list of work, so effort goes where a gain is most plausible rather than where the last meeting landed. If you want a clearer view of what to build next, open Opportunities in your workspace and start at the top - or read the AI search visibility strategy framework for the wider picture it fits into.
