How to Build a Winning Share of Model Strategy
A winning Share of Model strategy is a documented plan that defines which category prompts matter most, who owns fixing what a model says about your brand, and how that work gets sequenced and resourced over time. It’s the layer above the tactics — without it, most teams end up running a handful of prompts once, feeling good or bad about the results, and never building anything repeatable.
- What a Share of Model Strategy Actually Requires
- Define What Winning Means for Your Category
- Choose Your Battlegrounds: Prioritizing Prompts, Personas, and Platforms
- Build the Content and Entity Roadmap
- Assign Ownership and Workflow
- Sequence the Rollout: From Baseline to Ongoing Program
- Align the Strategy With Existing SEO, PR, and Content Efforts
- Budget and Resource the Program Realistically
That gap is common because Share of Model still gets treated like a one-off audit rather than a program. A strategy fixes that by turning a curiosity check into a standing part of how a marketing team allocates its time and budget, the same way a content calendar or a link-building roadmap does.
What a Share of Model Strategy Actually Requires
A strategy is different from a checklist of tactics. Running prompts, logging mentions, and fixing bad entity data are all tactical actions — a strategy is the decision-making layer that determines which tactics get prioritized, in what order, and against what goal. Skip this layer and teams tend to chase whichever prompt result looked worst that week instead of working toward a defined outcome.
At minimum, a real strategy answers four questions before any prompt gets run: what does winning look like for this category, which prompts and platforms matter most to the business, who is accountable for the work that follows, and how will progress be reported. Everything else in this article builds out those four answers.
Define What Winning Means for Your Category
Vague goals like “improve our Share of Model” don’t survive contact with a budget conversation. A strategy needs a specific, defensible target tied to how the business actually competes.
Start by separating two different kinds of goals: presence goals and position goals. A presence goal is about simply showing up — getting mentioned at all in response to non-branded category prompts where you currently get zero mentions. A position goal is about improving standing where you already appear — moving from being the fourth option listed to being named first, or from a bare mention to an explicit recommendation with a citation.
Most categories should start with presence goals, since there’s no strategic value in optimizing your rank inside answers you never appear in. Once baseline presence is established across a meaningful set of prompts, the strategy can shift toward position and sentiment goals — the more advanced, harder-to-move levers.
Choose Your Battlegrounds: Prioritizing Prompts, Personas, and Platforms
Not every category prompt is worth the same investment, and a strategy has to rank them rather than treat the full prompt list as equally important.
- Prioritize by buyer intent. Prompts closer to a purchase decision — “best [category] for [specific use case]” — usually matter more than broad awareness prompts, since a mention there is closer to influencing a real decision.
- Prioritize by competitive winnability. Some prompts are dominated by entrenched, heavily-cited competitors and won’t move quickly. Others sit wide open with thin or outdated information filling the gap — those are where a strategy gets early, visible wins.
- Prioritize by persona. A B2B agency and a solo local operator ask different questions even inside the same category. Build separate prompt sets per buyer persona rather than one generic list.
- Prioritize by platform reach. If a business’s audience is skewed toward one AI tool over another, weight the strategy accordingly instead of splitting effort evenly across every model by default.
The output of this step should be a short list — usually fifteen to thirty prompts — ranked into tiers, with the top tier getting the first round of content and entity work.
Build the Content and Entity Roadmap
Once priority prompts are set, the strategy needs a roadmap connecting each one to a specific fix: new content, updated content, or entity-level cleanup.
Some gaps are content gaps — no page on the site directly and clearly answers the prompt in question, so there’s nothing for a model to retrieve or cite. Others are entity gaps — the content exists, but the brand’s name, description, or category association is inconsistent across the sites and sources a model draws from, weakening the signal even when relevant content is present.
Sequencing the roadmap
Fix entity inconsistencies first where they exist — outdated business descriptions, inconsistent naming, wrong facts repeated across directories and mentions. This is comparatively fast, cheap work, and it removes friction that would otherwise blunt the impact of new content. Then move to content gaps for the highest-priority prompts, followed by refreshing the presence and sentiment of prompts where a mention already exists but reads weak or outdated.
Assign Ownership and Workflow
Share of Model work stalls most often not from lack of tactics but from lack of a named owner. It touches SEO, content, PR, and sometimes product marketing, and without a clear home it becomes everyone’s part-time responsibility and no one’s actual job.
A workable structure assigns one owner — often the same person who owns organic search strategy — responsible for running the recurring prompt audits, maintaining the prompt list, and routing fixes to the right team: content gaps to writers, entity inconsistencies to whoever manages directory listings and PR mentions, and technical structured-data issues to a developer. The owner doesn’t have to do all the work personally, but someone has to hold the roadmap and report on it, or it quietly falls off the priority list within a quarter.
Sequence the Rollout: From Baseline to Ongoing Program
A strategy needs a realistic timeline, not a single big push. A reasonable rollout looks like three phases.
- Baseline phase. Run the full priority prompt list across at least three AI tools, score every response, and document the starting point. This alone often surfaces the entity-cleanup work that should happen first.
- Fix phase. Work through the roadmap — entity corrections first, then priority content — while re-running prompts periodically to check whether changes are landing.
- Maintenance phase. Once presence stabilizes on the priority tier, shift to a lighter recurring cadence, expand the prompt list to the next tier, and treat Share of Model tracking like rank tracking — an ongoing input to the broader marketing strategy rather than a project with an end date.
Because model outputs change as models are updated, there’s no phase where the work is genuinely finished — the strategy should build in recurring check-ins from the start rather than treating this as a one-time initiative with a close-out date.
Align the Strategy With Existing SEO, PR, and Content Efforts
A Share of Model strategy built in isolation duplicates work that other teams are already doing. The entity signals that improve Share of Model — consistent business descriptions, credible third-party mentions, clear category association — are largely the same signals that support digital PR and local SEO. The content that earns citations in AI answers is largely the same content that should already be earning organic rankings and featured snippets.
The strongest strategies treat Share of Model as an additional lens on existing SEO and content work rather than a parallel workstream competing for the same budget. When we build this into a client’s plan at Salterra, it’s almost always layered onto an existing content and digital PR calendar rather than bolted on separately — the prompts just become another success criterion for content that was already being planned.
Budget and Resource the Program Realistically
Share of Model strategy doesn’t require new headcount to start, but it does require protected time. Budget for three things: the tooling or manual hours needed to run and log prompts on a recurring basis, the content and editing hours needed to close priority gaps, and a modest allowance for digital PR or outreach where entity credibility is the actual bottleneck.
For most small and mid-size businesses, the first few months should lean manual and cheap — a spreadsheet and a recurring calendar block — before investing in dedicated tracking software. Prove the program earns its place in the budget with a baseline and early movement before scaling spend on it.
Frequently Asked Questions
How is a Share of Model strategy different from just running prompts monthly?
Running prompts monthly is a tactic, not a strategy. A strategy defines which prompts matter most and why, sets a goal for what improvement should look like, assigns an owner, and sequences the fix work — the monthly prompt run is just the measurement step inside that larger plan.
Do we need dedicated software to run a Share of Model strategy?
No, especially at the start. A prioritized prompt list, a spreadsheet, and a recurring calendar block are enough to run a credible strategy. Dedicated tracking tools become worth the cost once the prompt list grows large enough that manual logging becomes the bottleneck.
How long before a Share of Model strategy shows results?
Entity-level fixes can show up in model outputs within weeks to a couple of months, since some of that data updates faster than a full model retraining cycle. New content earning citations typically takes longer, closer to the timelines you'd expect from organic SEO, since it depends on the content being crawled, cited elsewhere, and eventually reflected in retrieval or training data.
Who should own Share of Model strategy inside a marketing team?
Most often whoever already owns organic search and content strategy, since the skill set and the fixes overlap heavily. In larger organizations it can sit with a dedicated brand or digital PR lead, but it needs one named owner regardless of title.
Should every business build a full Share of Model strategy?
Businesses whose buyers research decisions through AI tools benefit from at least a lightweight version — a short prompt list and a quarterly check. A full, resourced program with a dedicated roadmap makes the most sense for businesses in competitive categories where AI-assisted research meaningfully influences the buying decision.
What's the first deliverable a new Share of Model strategy should produce?
A documented baseline: the prioritized prompt list, the current score and sentiment for each prompt across your key AI tools, and a short list of the highest-priority entity or content fixes. Everything else in the strategy builds from that single document.
Terry has 30+ years in software and SEO. He’s the founder of Salterra Digital Services and SEO Spring Training, host of the Roundtable SEO Mastermind, and lead instructor at SEO University — teaching the exact tactics his team uses on client work.
Continue learning
Ready to master this?
This guide is one lesson from the Measuring AI Visibility Share of Model course. Get every lesson, framework and checklist — plus the full 38-course catalog — inside SEO University.
Practitioner-focused training across the full digital marketing stack — from technical SEO to conversion optimization and the AI search era. By Salterra Digital Services, since 2011.