Is Your Content Recommending Your Competitors in AI Search?
Summarize this article with AI
A client calls me on a Tuesday morning.
A client calls me on a Tuesday morning.
His SaaS site gets 12,000 organic sessions per month. A page titled « Top 10 Marketing Automation Tools » attracts 3,200 visitors and holds the top ranking on Google.
« Stéphane, my leads have dropped 40% since January. But traffic is holding up. »
I look.
I run a search on Google.
The AI Overview displays a clear summary. The cited source: his page. The recommended tool: a competitor.
I see the problem immediately. His content is pushing his competitors.
This case isn’t rare. Since Google rolled out AI Overviews everywhere, comparative pages and listicles ranking « best tools » are working against their creators. You think you control your visibility. In reality, you’re handing your competitors free advertising, validated by Google’s AI.
In this article, I break down the trap. I give you recent data, a concrete client case, and the method to take back control.
Here’s the hard truth: when you rank #1 with a listicle that ranks yourself first, Google AI Overview is likely to recommend a competitor instead. This donut shows the proportion of self-promotional pages that get cited but lose the recommendation to a competitor.
AI Overviews: 85% of Self-Promotional Listicles Recommend a Competitor
Based on Lily Ray’s June 2026 study of 100 B2B queries
The research that shook B2B SEO (June 2026)
Lily Ray, VP of SEO Strategy at Amsive Digital, released a study in June 2026. She ran 100 B2B queries like « best [category] software » through Google AI Overviews. She tested each query three times between April and June 2026.
Result: 80 out of 100 queries generated an AI Overview.
And here’s the number that stings.
85%. That’s the percentage of self-promotional pages (a tool ranking itself number 1 in its own list) that are cited as a source but not recommended by the AI. The AI Overview prefers to recommend a competitor listed on the page, or an outsider entirely.
Your content gets the citation, the « trusted source » badge. But the prospect clicks to the competitor.
Better yet: 42% of recommendations in these AI Overviews concern brands absent from the AI’s sources. Your page becomes a springboard—someone else grabs the traffic.
Search Engine Journal relayed the news on July 7, 2026, with an article titled « AI Search: Is Your Content Strategy Accidentally Recommending Your Competitors? » sponsored by FirstPromoter. The message is clear: the self-promotional listicle has become a SEO liability.
These numbers confirm what I was seeing with several of my clients. Pages in the top 5, plenty of traffic, zero conversions. Pure waste.
Why self-promotional listicles backfire
Google AI Overview summarizes a page, but more importantly, it extracts entities, compares trust signals, and cross-references external citations. When it reads your listicle with a table comparing 10 tools, it interprets each row as a potential recommendation.
You wanted to show you’re the best, but the AI mainly infers that all these tools are valid options for the user. When it synthesizes, it picks the one with the strongest global reputation, the most reviews, or simply the one appearing most often in other sources.
Result: you did the comparison work for the AI, and it leverages that to recommend a better-established competitor.
Worse, the higher your page ranks, the more likely the AI Overview will use it as a source. And the trap snaps shut.
I saw this with a B2B CRM client. Their page « Comparison of 8 Best CRM Software » drove 3,200 organic visits per month. Their tool was in the top spot of their own table. Yet the conversion rate on that page was nearly zero.
I analyzed outbound clicks using Search Console data and audience tools. Of the 3,200 visits, 288 clicks (9%) went directly to competitor pages cited in the AI Overview. And this unwanted traffic was rising since early 2026.
We deleted the page. We restructured content around the tool itself. Six months later, monthly leads grew 37%. With zero additional paid campaigns.
The page was feeding the competition.
Semantic architecture replaces comparison
The solution isn’t better content. It’s a different architecture.
In my practice, I apply the DOSE framework (Dissecting, Organization, Structuring, Expansion) taught by Guillaume Attias at BMO Academy. The core idea: position your brand as the reference entity on a semantic field, never naming alternatives.
Dissecting. We map intentions. We identify queries where the user wants comparison. Instead of creating a page « Tool X vs Y », we segment: « Feature A », « Benefit B », « Feature C ». Each page covers a need, never a comparison.
Organization. We build a semantic cocoon: a central pillar page, thematic clusters, internal linking that reinforces your authority on the topic. The cocoon makes Google understand that your site is the exhaustive source, not just another opinion aggregator.
Structuring. Inbound links point to the pillar page. Content names no competitors. Even accidental mentions are tracked and removed.
Expansion. We extend the semantic field with substantive content: use cases, guides, APIs, testimonials with numbers. The goal: the AI has no reason to look elsewhere to fuel its recommendations.
With this architecture, AI Overviews shift their tone. For the same CRM topic, I audited results after restructuring. Before: the client’s brand was cited as a source 12% of the time and recommended only 3%. After: the brand appears as the primary source in 78% of AI Overviews and becomes the direct recommendation in 64% of cases.
No need to say « we’re the best. » The AI deduces it on its own.
« Stop talking about others. The AI interprets every mention as validation. »
It’s a complete paradigm shift. Direct self-promotional content is dead. Long live indirect semantic authority.
Diagnosis: Is your content hurting your brand?
Before any restructuring, you need an audit.
The method comes in three steps. I adapted it from Lily Ray’s protocol.
1. List your comparative pages or listicles.
Take your top 20 to 30 pages with tables, « Top 10 », « Best X » formats. Fewer if you’re smaller. Prioritize traffic-driving pages.
2. Test on Google AI Overview.
For each target keyword, spin up a clean VPN (or use a SERP tracking tool that handles AI Overviews). Run the query. Note two things: « Is the page cited as a source? » and « Which brand is recommended in the summary? ». Separate citation from recommendation.
3. Calculate your loss ratio.
If your page is cited but the recommendation goes to a competitor, that’s a direct loss. If the recommendation cites a brand absent from your page, that’s an indirect loss, just as damaging. In Lily Ray’s study, the loss rate hit 85%. In my audits, 7 out of 8 clients lost recommendations on at least 60% of their self-promotional queries.
Once diagnosis is clear, action is often radical: delete the pages or do a complete cocoon semantic overhaul. No hesitation.
Another e-commerce client selling SEO tools had a page « Top 5 SEO Tools for Small Business » driving 1,200 visits per month. I advised deleting it and redirecting to a pillar page « Complete SEO Guide for Small Business ». Three months later, the SEO hub totaled 1,800 monthly visits, AI Overviews cited the site without recommending a single competitor. Demo requests jumped 28%.
Deleting doesn’t hurt when you rebuild better.
The future of AI Search: Are you recommending yourself without knowing?
We’re just getting started.
Google Bard, AI Overview, conversational answers—all these systems rely on knowledge graphs. The sharper they get, the more implicit relationships they extract. Every line of your content will be analyzed to infer entities and recommendations.
Content that lists your competitors, even without naming them, could be interpreted. Describing standard features implies other equivalent solutions exist.
The goal is no longer to rank for a keyword. It’s to become the sole relevant answer on a topic.
That’s the semantic cocoon strategy I’ve run with over 1,300 clients since 2016. In 2026, the winners don’t shout loudest. They structure their semantic universe.
So here’s the question: Is your content recommending your competitors without you knowing?
Audit your content against AI Search
In a diagnostic call, I review your at-risk pages and show you, screen-shared, where you’re losing recommendations. In 45 minutes, you know what to delete and how to restructure.
Book a strategic call — 45 minFrequently Asked Questions
Why does Google AI Overview recommend a competitor when my listicle page ranks well?
The AI reads your page, extracts entities, and compares them across the entire web. Even if you’re #1, it estimates a competitor has stronger authority signals. Your page just supplies the material.
Should I delete all my comparative pages?
Not necessarily. Keep it if it genuinely serves the user and doesn’t talk about your tool. But any page comparing your product to competitors—replace it with content showcasing your strengths.
How do I know exactly how many clicks I’m losing via AI Overview?
Cross-reference clicks per page in Search Console with post-click behavior reports. Flag keywords with AI Overviews. Compare traffic before and after the AI Overview appeared on those queries. Semrush Trends is perfect for this.
What’s the most effective SEO alternative to a self-promotional listicle?
A semantic cocoon. A comprehensive pillar page on your solution, with thematic clusters (features, use cases, integrations). No competitors. The AI treats you as the unique expert.
Does this rule apply to e-commerce product pages too?
Partly. A product page citing competitors? Risky. On highly competitive markets, lean on your strengths and buying guides without direct comparison.
