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PRISOL

Solutions · Enterprise

AI search visibility for enterprises

Enterprises rarely lack content or authority. Their challenge is consistency and control: many sites, many teams, many markets — and AI answers that piece together a picture of the brand from all of them, including the parts nobody owns any more.

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At a glance

Governance
Who owns which facts, and how changes propagate across sites and profiles.
Scale
Thousands of pages, multiple CMSs, country sites and legacy domains.
Coordination
SEO, content, PR, product and legal working from one prompt set.
Measurement
Visibility by brand, product line, market and platform.

1. Conflicting facts across a large footprint

Corporate site, product sites, country sites, investor pages, careers sites, press archives, partner portals — each states facts about the company. Over time they diverge: old product names, superseded figures, former executives.

What we do: an enterprise entity inventory, a governed source of truth for core facts and a change process that updates every surface.

2. Legacy content that won’t die

Retired products and campaigns often remain crawlable on forgotten subdomains. AI answers can retrieve them.

What we do: discovery of legacy hosts and pages, with retire/redirect/update decisions and redirect maps.

3. Technical complexity

Multiple CMSs, JavaScript frameworks, international setups and CDN bot rules create uneven crawlability — including for AI search crawlers.

What we do: cross-property technical SEO review, crawler access policy and hreflang/international checks.

4. Many teams, no shared target

SEO tracks rankings, PR tracks coverage, product tracks adoption. Nobody owns “how AI answers describe us”.

What we do: a shared prompt set and dashboard by brand, product and market, with clear ownership of each fix.

5. Reputation at scale

For large brands, AI answers often include sentiment from news and reviews. Issues that are resolved can persist in summaries.

What we do: monitoring of representation and accuracy, with input to communications teams.

What an enterprise engagement typically includes

  1. Scoping by brand, product line, market and platform.
  2. Baseline and competitor benchmark.
  3. Entity governance model and fact inventory.
  4. Technical and legacy-content review.
  5. Prioritised roadmap with owners across teams.
  6. Ongoing measurement and quarterly reviews.

Common mistakes

  • Treating AI visibility as a single team’s project.
  • Fixing the corporate site while country sites keep old facts.
  • Blocking AI crawlers globally without assessing each one’s purpose.
  • Reporting one global “AI visibility score” that hides market-level problems.

FAQ

Enterprise: frequently asked questions

How do enterprises measure AI visibility across many markets?
With a structured prompt set per market and language, sampled on each relevant platform, reported by brand and product line. Consistency of method matters more than volume.
Can old microsites and legacy domains affect AI answers?
Yes. Outdated pages that are still crawlable can be retrieved and repeated. Part of enterprise work is finding and retiring or redirecting them.
How does this fit with existing SEO teams and agencies?
We typically work alongside them — supplying AI-visibility measurement, entity governance and AEO/GEO expertise while existing teams own day-to-day SEO.

Related to Enterprise

AI Visibility Audit

Is your brand visible where your customers are searching?

Our AI Visibility Audit shows how you appear across Google and AI answer engines today — and what to fix first.

Prefer email? prithvi@prisol.org