Bots Are 53% of Web Traffic — and Brands May Be Blocking Their Own Customers
Bots are 53% of web traffic and now buy on behalf of consumers. Brands blocking them may be silencing their own demand before analytics can even register the loss.
By Amara Osei
3 min read
Updated
What's News
- Bots account for 53% of web traffic, according to the Entrepreneur contributor piece.
- Brands have spent thirty years building CAPTCHAs, rate limits and login walls that now block helpful AI agents.
- Many brands still block the bots ChatGPT, Claude and Perplexity use, blocking AI citations.
- A 35% drop in organic search traffic may reflect impressions moving to LLMs, not lost demand.
- The author calls the fix architectural, not an SEO tweak, with marketing owning most of it.
By Amara Osei
Bots now account for 53% of web traffic — the stat everyone repeats on LinkedIn, as the article puts it — and for the first time in thirty years, marketers need to keep them in rather than keep them out.
That's the core argument of an Entrepreneur contributor piece arguing that the CAPTCHAs, rate limits, login walls, fingerprinting and "internet fortresses" brands have built over three decades have become a liability to their web stacks. Security hasn't stopped mattering, the author writes. But the default posture — automated traffic is hostile until proven otherwise — now costs brands real demand.
"The very term 'bots' had a negative connotation, and the layers and layers of protection we've built are now a liability to brands' web stacks," the piece states.
Why can't defenses tell good bots from bad ones?
The problem is scale and behavior. Agents don't just scan sites anymore; they interact and execute workflows, which makes good and bad traffic harder to tell apart.
"Your defenses can't tell the difference between someone scraping your catalog nefariously and someone's assistant trying to buy from it," the author writes. "Same door, same knock."
The distinction now runs three ways: bots working for a company, agents working for a consumer, and bad actors — who, the author notes, "are still bad actors."
What happens when an agent hits friction?
Consider a shopper who tells their assistant: "Find me trail runners, men's size 10.5, waterproof, under $150, at my door by Saturday." The agent lands on the site, reads the page code, infers what buttons do, and clicks.
If it fails, it doesn't email support or retry tomorrow. It moves to an easier site and tells the customer it found the shoes there. "No cart, no session, no signal anything happened," the author writes.
The stakes have shifted: "Site friction used to cost you conversion rate. Now it costs you the consideration set, silently, before a number lands in your analytics."
Skip the retooling, and agents route around brands to marketplaces and resellers where data is easy to get. The product becomes "a row in somebody else's comparison table" — no brand story, no bundle, nothing left to compete on except price and a star rating.
Four moves the author prescribes
The piece lays out a concrete playbook for treating bots as a first-class audience:
- Audit what you're blocking. Bot policies often got set by a vendor default that nobody has opened since. The author says plenty of brands still block the bots ChatGPT, Claude and Perplexity use to fetch pages — meaning they can't be cited when a shopper asks AI what to buy.
- Structure beats styling. Pricing, inventory, FAQs, sizing, shipping windows and return policy must live in structured data. Ratings and reviews locked in a carousel or an image "don't exist to agents."
- Map the agent's journey. A footwear brand, for example, should make sure agents can buy products, read reviews and compare against main competitors — and re-engineer those steps for agents, not just human shoppers.
- Rebuild analytics. Web analytics stop being a trustworthy source of truth when agents report back on a different surface. Organic search traffic may have dropped 35% over recent quarters without impressions falling — they've likely moved from the brand's website to conversations between large language models and shoppers.
Is this SEO or architecture?
Neither, the author argues. "None of this means the last thirty years were a mistake. The gates were correct for the internet we had. They're just pointed at the wrong thing now."
The rework is architectural, and "marketing owns more of it than marketing expects." The author's warning is blunt: "Nobody from security is going to walk into your Monday standup and tell you the bot rules are costing you customers."
The takeaway for brands: the bot policy set by a vendor default years ago may now be quietly filtering out the exact automated buyers — and AI citations — that drive the next wave of organic demand.
Original: imperva.com
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Senior reporter covering companies, deals and strategy in entrepreneurship, startups and venture funding at Business Bearings.
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