Your Competitor Just Improved Their GEO Score - Would You Know?

In traditional SEO, you check competitor rankings daily. It's table stakes. But in GEO? Most businesses audit their own site once - if ever - and never look at competitors at all. That blind spot is costing them citations they don't even realise they've lost.

Here's a scenario I see constantly: A B2B software company runs a GEO audit in January. Score: 64. Decent. They make a few fixes, feel good about it, and move on to other priorities.

Six months later, inbound leads are down. They blame the economy, sales cycles, maybe even the website redesign they did in March. What they don't check is their GEO score - which is now 52. And they definitely don't check their competitors - three of whom now score above 70.

The leads didn't disappear. They went to competitors who show up in AI search answers. The company just didn't know it was happening.

The Blind Spot Nobody Talks About

Every SEO professional knows you have to track competitors. You monitor their rankings. You analyse their backlinks. You watch their content strategy. You set up alerts when they publish something new.

But AI search visibility? Most businesses treat it like a one-time checkbox. Audit done. Moving on.

This makes no sense when you think about it. AI search is where an increasing share of discovery happens. ChatGPT, Perplexity, Google AI Overviews - these tools cite a handful of sources per answer. If your competitor is cited and you're not, that's a lead you lost before you even had a chance to compete for it.

And unlike traditional SEO where position 3 still gets clicks, AI search is winner-take-most. The cited sources get the traffic. Everyone else gets nothing.

What Competitors Actually Do (That You're Missing)

When a competitor improves their AI visibility, they usually do one or more of these things:

1. Schema Markup Upgrades

Comprehensive schema.org markup is one of the most effective GEO signals. Competitors who add thorough FAQPage, HowTo, Article, Organisation, and Product schema see meaningful lifts in AI citation rates.

We tracked 45 e-commerce sites through Q3 2025. The 12 that added comprehensive Product schema (including offers, reviews, availability) saw average AI visibility increases of 18 points. The others - including their direct competitors - didn't move. Relative position shifted dramatically.

2. llms.txt Implementation

The llms.txt standard is gaining traction. Sites that publish this file give AI systems clear instructions on how to interpret their content, what areas of expertise to prioritise, and how to cite them correctly.

If your competitor adds llms.txt and you don't have one, they've given AI engines better metadata about their authority. That's a small but real advantage.

3. Author Credentials and EEAT Signals

AI engines increasingly favour content with clear author attribution and demonstrable expertise. Competitors who add author bios with credentials, link to author social profiles, and implement Person schema gain credibility in AI citation decisions.

4. Brand Authority Building

This is the hardest to track but often the most impactful. When a competitor:

• Gets press coverage in industry publications
• Appears on podcasts or speaks at conferences
• Gets mentioned on Wikipedia or Wikidata
• Publishes research that gets cited elsewhere
• Builds a presence on platforms AI engines index

...their brand authority signals strengthen. AI engines are better at verifying they're a legitimate, trustworthy source. That translates to more citations.

5. Technical GEO Improvements

Unblocking AI crawlers. Improving page speed. Adding structured data. Fixing mobile experience issues. These technical changes fly under the radar but compound into meaningful visibility gains.

Share of AI Voice: The Metric You Should Track

In traditional SEO, you track "share of voice" - how much of the search visibility in your category belongs to you versus competitors. You need the same metric for AI search.

This is harder to measure than traditional share of voice because AI answers are synthesised, not ranked in a neat list. But directionally, you can track it by:

1. Monitoring your own AI visibility score over time
2. Monitoring competitor AI visibility scores
3. Comparing relative position in your competitive set
4. Manually testing key queries in ChatGPT, Perplexity, and AI Overviews

If your score stays flat while competitors rise, your share of AI voice is shrinking - even if your absolute number didn't change.

Real Competitor Monitoring Stories

The Legal Firm That Saw It Coming

A commercial law firm in Manchester subscribed to our Monitor plan, tracking themselves plus four direct competitors. In March 2025, they noticed one competitor's score jumped from 58 to 71 in a single month.

What happened? The competitor had hired a GEO consultant who implemented comprehensive legal schema markup, added solicitor profile pages with proper Person schema, published an llms.txt file, and unblocked AI crawlers they'd previously restricted.

Our client saw this within a week of the changes going live. They responded immediately - implementing similar improvements plus additional content work. By May, they'd not only matched but exceeded the competitor's score.

Without competitor monitoring, they'd have noticed nothing until client enquiries shifted months later.

The SaaS Company That Didn't

Contrast that with a project management SaaS that ran a single audit in November 2024, made basic fixes, and didn't monitor. When we re-audited them in September 2025 (at their request, because leads had dropped), here's what we found:

They hadn't done anything wrong. They just stood still while three competitors invested heavily in GEO. The lead gap they attributed to "market conditions" was actually a competitive AI visibility gap they could have addressed - had they been watching.

What Competitor GEO Monitoring Actually Involves

Effective competitor monitoring isn't complicated, but it does require consistency:

Weekly Score Tracking

Run AI visibility audits on yourself and your top 3-5 competitors weekly. Track the scores over time in a simple spreadsheet or dashboard.

Change Detection

When a competitor's score jumps more than 5-7 points in a week, investigate. Check their robots.txt for AI crawler changes. Look for new schema markup. Search for recent press coverage. Something caused that jump.

Trend Analysis

Look at 8-12 week trends, not just week-over-week changes. Are you consistently gaining, losing, or flat relative to competitors? Trends matter more than individual data points.

Category-Level Comparison

Don't just track overall scores. Compare categories: AI citability, brand authority, structured data, content signals. This tells you where competitors are investing and where you might be vulnerable.

Alert Thresholds

Set up alerts for when:

• Any competitor score increases by more than 10 points
• Your score drops by more than 5 points
• A competitor overtakes you in overall score
• Any competitor moves from one tier to a higher tier (e.g., Developing to Strong)

Building a Competitive Intelligence System

Here's a practical framework for competitor GEO monitoring:

Step 1: Identify Your Competitive Set

Who actually competes with you for AI citations? This might not be the same as your traditional competitive set. Think about:

• Direct competitors (same product/service)
• Content competitors (produce content on same topics)
• Category leaders (dominate AI citations in your space)
• Emerging challengers (startups investing heavily in content/GEO)

Pick 4-6 competitors max. More than that becomes noise.

Step 2: Baseline Everyone

Run full audits on yourself and all competitors. Document not just overall scores but category breakdowns. This is your starting point for comparison.

Step 3: Set Up Regular Monitoring

Weekly for high-competition categories. Fortnightly for slower-moving industries. Monthly at absolute minimum. Consistency matters more than frequency.

Step 4: Document Changes

When you see score movements, note what caused them if you can determine it. Over time you'll build a library of "what works" based on competitor experiments.

Step 5: Act on Insights

Monitoring is useless if you don't respond. When competitors improve, analyse how and decide whether to match, exceed, or differentiate. Don't just watch - play.

The Cost of Competitive Blindness

Let's quantify what you're risking by not monitoring competitors:

Lost Discovery Traffic

If competitors are cited in AI answers and you're not, you're losing discovery at the research stage. These are potential customers who never even see you as an option because AI didn't mention you.

Reactive vs Proactive Position

Without monitoring, you only discover competitive gaps after they've caused damage. You're always playing catch-up instead of matching or pre-empting competitor moves.

Wasted GEO Investment

If you invest in GEO improvements without watching competitors, you might celebrate moving from 55 to 65 - while competitors moved from 60 to 80. Your investment yielded absolute gains but relative losses.

Strategic Blind Spots

Competitor monitoring reveals industry trends. When multiple competitors start investing in specific GEO areas, that's a signal. Without monitoring, you miss those signals.

The Bottom Line

AI visibility is a competitive sport. Your score doesn't exist in isolation - it exists relative to everyone else trying to get cited in the same AI answers.

When a competitor improves their GEO score by 15 points, your relative position drops 15 points - even if you didn't change anything. That's how competitive markets work.

The businesses that win AI search visibility are the ones that track both themselves and competitors consistently. They see movements early. They understand what's working in their space. They respond before gaps become chasms.

The businesses that audit once and move on? They're the ones asking "why did leads drop?" six months later - and blaming everything except the competitor whose AI visibility just passed theirs.

Which one are you going to be?