Skip to main content

Common GEO issues and how to fix them

The problems that cause drift in AI summaries.

Most AI visibility problems come from unclear wording, inconsistent information or outdated content. Small fixes often make a noticeable difference.

Why AI gets confused

AI search systems build a picture of your business by scanning your website, press coverage and third-party sources. If those signals clash, the system becomes uncertain. That uncertainty shows up as:

  • Vague summaries
  • Incomplete descriptions
  • Missing roles or locations
  • Summaries that feel slightly “off”
  • No mention at all

These issues are usually easy to identify once you know where AI struggles.

The most common problems

The most common problems fall into three broad areas: inconsistency, outdated material and unverifiable language. Specific examples follow.

  1. Inconsistent service descriptions

Property businesses often list their services differently across pages, brochures and PR.
AI sees:

  • “commercial property agent”
  • “industrial and office specialist”
  • "advisor”
  • “surveyor”
  • “consultant”

These all describe similar work, but the system cannot tell which one is your primary position.
The fix: choose stable wording and use it everywhere.

  1. Mixed job titles

A team member might be:

  • “Partner” on the website
  • “Director” in press coverage
  • “Head of Agency” on LinkedIn

AI cannot know which one is correct.
It chooses the most common or most recent version, which may not be right.

The fix: settle on one title and update it everywhere.

  1. Old or duplicate content

Many property firms have pages that linger for years.
Old bios, old office details, old service pages.

AI will not know which version to trust.

The fix: remove or update anything that no longer reflects who you are.

  1. Unclear deal pages

Some sites publish deal news without clear structure, for example:

  • Missing floor areas
  • Missing client names
  • Unclear roles (“acted on behalf of”)
  • No location metadata

AI struggles to extract the meaning.
It needs clear labels and simple wording.

The fix: follow a consistent format for deal updates.

  1. Mismatched signals between PR and the website

If your press coverage describes you more clearly than your website, AI may trust the press instead. That can lead to good or bad summaries depending on the accuracy.

The fix: align PR wording with your website wording.

  1. Unverifiable marketing claims

AI does not respond well to:

  • “leading”
  • “market-leading”
  • "award-winning”
  • "trusted by clients across the UK”
  • “delivering outstanding results every time”

It cannot confirm these, so it ignores them and looks elsewhere.

Verifiable credentials are a different matter.

Documented awards, named professional qualifications and recognised industry memberships: RICS, BCO, Estates Gazette awards and similar,  are picked up readily, because AI can confirm them from third-party sources. The issue is not marketing language in general, it is language AI has no way to verify.

The fix: replace unverifiable superlatives with factual language. Keep credentials that are documented and traceable.

  1. Multiple versions of your company description

Your company “About” paragraph should be one source of truth.
If AI sees five different versions across your site, LinkedIn, Google Business Profile and PDFs, it loses confidence.

The fix: standardise the wording and repeat it consistently.

How to fix issues quickly

Most problems resolve through three simple steps:

  1. Clean the wording
    Make your service language simple, factual and consistent.
  2. Update old material
    Archive or rewrite content that no longer reflects who you are.
  3. Strengthen your reference signals
    Use PR, structured data and updated web pages to reinforce the same message across multiple sources.

When multiple sources match, AI summarises you with confidence.

8. Stale-but-still-published content

This is different from the old or duplicate content covered earlier. The issue here is content that's still accurate but has not been refreshed in a long time: service descriptions written eighteen months ago, deal pages that haven't been updated since publication, team bios that have quietly aged.

Citation-first AI tools now actively favour recent material over older equivalents. A stable, accurate page from 2024 is competing with a fresher version of itself. If a competitor has published more recently on the same topic, the older page is increasingly likely to be passed over, even when both are correct.

The fix: review your most important pages every few months. Service pages, team bios and deal information benefit most. Stable does not mean static.

9. Inconsistent descriptions across AI platforms

If you ask ChatGPT, Perplexity, Gemini and Google AI Mode the same question about your firm, you may well get four different answers. Sometimes the differences are minor. Sometimes they are significant: outdated services on one platform, missing specialisms on another, mixed roles for the same team member.

This is now a diagnosable problem in its own right. A firm whose visibility looks healthy on one platform may have meaningful gaps on another.

The fix: check each major platform individually, note the differences, and trace each gap back to its source. Outdated press is often the culprit on platforms that lean on established authority. Stale website content is often the culprit on platforms that favour freshness. The cleanest signals win across all of them.

When you might need deeper support

If the problems are larger; legacy content, multiple site versions, unclear positioning a full GEO audit is more effective.
It should review:

  • Your website structure
  • Your content
  • Your PR activity
  • Your structured data
  • Third-party signals
  • Brand wording across all platforms
  • How each major AI platform currently describes you

This gives you a clean plan for restoring clarity.

Next steps

If you’d like help strengthening your digital signals, contact Net Yield.
We can review your website and PR to prepare your business for AI-led visibility.

For a deeper dive, you can buy a copy of "AI Search for Property Professionals", which expands on the ideas in this hub, giving greater detail and guidance around the topic.

Contact Net Yield to find out how we can help you.
Email