Two Problems, One Budget
The two failures look identical from inside the company: no foreign inquiries. Both get treated with the same spend. They should be diagnosed separately. Traffic that arrives and leaves is a chosen-problem; the site is losing buyers the channel already delivered. No traffic at all is a found-problem; the market cannot see you. Fixing the wrong one wastes the budget and discredits the right fix. Solving the chosen problem is the work of generative engine optimization, which we run as generative engine optimization services.
Found Is the Door
In Iraq and the Gulf, search means Google, and increasingly it means an AI assistant answering directly. Being found is mechanical: indexable pages in the buyer's language, matching the terms procurement actually types (supplier, capacity, minimum order, HS code) and entity facts consistent enough for an answer engine to cite. This is search capture and answer capture. It opens the door. It does nothing else.
Chosen Is the Ninety Seconds
Procurement gives an unknown supplier about ninety seconds. What survives that window: specifications, certifications, production capacity, native Arabic and English, a real address, a page that loads fast on a phone. Build this asset first, then point discovery at it. Reverse the order and you pay to deliver buyers to a page that loses them.
How do I know if my problem is being found or being chosen?
Pull two numbers: search impressions from Google Search Console and inquiries from your inbox. Near-zero impressions is a found problem; the market cannot see you. Steady traffic with zero inquiries is a chosen problem; buyers arrive and the page loses them. The diagnosis takes one afternoon and it decides where the budget goes.
Then run the ninety-second test. Open your own site on a phone, on mobile data, in the buyer's language. Time how long it takes to find your certifications and your production capacity. If you cannot find them in ninety seconds, procurement will not look longer.
Fix in the order the diagnosis dictates. A chosen problem is fixed on the site: evidence, native language, load speed. A found problem is fixed in the channel: indexation, the terms buyers type, entity facts an engine can verify. For exporters selling from Iraq, that channel work is SEO in Iraq.
Why does my website get traffic but no inquiries?
Because the site fails procurement's verification, not its attention. Visits prove buyers found you. Zero inquiries proves the page gave them nothing to verify. Procurement does not browse. It audits.
A procurement officer builds a file he can defend to his manager. A supplier page with no certifications, no capacity figures, and no physical address gives him nothing for that file. He does not email to ask. He returns to the shortlist and picks the competitor whose page did the verification work.
The common response is to buy more traffic. That multiplies the loss: every new visitor hits the same wall, and the ad budget pays for each one. Repair the page first. Discovery spend returns money only when the destination converts.
Does AI search change how buyers shortlist suppliers?
Yes. An AI assistant runs procurement's scrutiny before the buyer sees a single website: it names the suppliers whose facts it can verify and omits the rest. Being chosen now happens twice. Once inside the engine, when it decides whom to cite. Once on your site, when the buyer decides whom to email.
Citation is a separate door from ranking. In Ahrefs' study of 863,000 keywords, only 38% of pages cited in AI Overviews ranked in Google's top ten, down from 76%. A supplier can hold a first-page ranking and still be absent from the answer a Gulf buyer reads.
The signals that earn citation are credibility signals. Across 75,000 brands, Ahrefs measured web mentions correlating with AI visibility at 0.664, against 0.218 for backlinks. Engines name companies that other sources describe and confirm. The evidence that survives procurement's ninety seconds is the same evidence that gets you cited. Chosen feeds found.
