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In Marketing 101•August 17, 2026•10 Minutes

How do AI assistants decide which businesses to recommend?

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Short answerAI assistants do not rank businesses the way Google ranks pages. They retrieve. The model rewrites your question into several searches, pulls a small set of pages and third-party sources, then names the businesses that appear consistently across them. You get recommended when independent sources agree on what you do and who you serve.
The short answer

The short answer AI assistants do not rank businesses the way Google ranks pages. They retrieve. The model rewrites your question into several searches, pulls a small set of pages and third-party sources, then names the businesses that appear consistently across them. You get recommended when independent sources agree on what you do and who you serve. What.

The short answer

AI assistants do not rank businesses the way Google ranks pages. They retrieve. The model rewrites your question into several searches, pulls a small set of pages and third-party sources, then names the businesses that appear consistently across them. You get recommended when independent sources agree on what you do and who you serve.

What actually drives the recommendation

Four mechanics decide whether your name shows up in a generated answer. None of them is a secret ranking dial you can pay for.

1. Query fan-out replaces the single search

When someone asks an assistant for a recommendation, the assistant does not run one search. Google’s search engineering director Dounia Berrada describes AI Mode plainly: it is “basically doing a dozen searches for you in the time it takes to do one,” using a fan-out technique that triggers multiple searches at once and synthesises one answer. OpenAI documents the same behaviour for ChatGPT: the system “typically rewrites your query into one or more targeted queries” before sending them to its search partners.

The practical consequence: you are not competing for one keyword. You are competing to appear in eight or ten related sub-queries at once. Depth across a topic beats a single optimised page.

2. Ranking still matters, but far less than it did

Being in the top ten helps. It no longer decides the outcome. Ahrefs found in July 2025 that 76% of AI Overview citations came from pages ranking in the top 10, across 1.9 million citations. By March 2026, after analysing 863,000 keywords and four million AI Overview URLs, that figure had fallen to 38%, with roughly 31% of citations coming from pages that do not rank in the top 100 at all.

seoClarity’s analysis of 362,000 US queries found the other half of the picture: 94% of AI Overviews cited at least one page from the top 20 organic results, and a page ranking first was included 43% of the time versus 7% at position 20. So rank buys you a ticket. It does not buy the seat.

3. Third-party corroboration carries disproportionate weight

Semrush analysed 230,000 prompts and over 100 million citations across ChatGPT Search, Google AI Mode and Perplexity between July and October 2025. The most-cited domains were Reddit, Wikipedia, LinkedIn, Forbes and Medium, not brand websites. Assistants lean on places where other people describe you, because a third party saying “this firm handles Shopify migrations for mid-market retailers” is stronger evidence than you saying it.

4. For local recommendations, Google’s own rules still apply

When the question has a place in it, Google Business Profile signals feed the answer. Google states its local results are ordered by relevance, distance and prominence, that “more reviews and positive ratings can help your business’s local ranking,” and bluntly that “there’s no way to request or pay for a better local ranking on Google.”

How to tell whether you are eligible today

Run this test before you spend a dollar. Ask four assistants the exact question your buyer would ask, including the city if it is a local purchase. Then read what they cite, not just what they say.

What you see What it means The fix
Your competitors named, you absent, citations are directories and Reddit You have no third-party footprint Earn mentions where the model already looks
You are named but described wrongly Your entity data is inconsistent across the web Fix name, category, services and location everywhere
Nobody is named, the answer is generic advice The query has no strong commercial corpus yet Publish the definitive answer page and get it cited
You are cited from one page only Fragile visibility, one fan-out query wide Build topical depth around that page

Volume context matters here. ChatGPT reported 900 million weekly active users in February 2026, up from 800 million the previous October. But citation rates vary hugely by sector. Similarweb measured ChatGPT’s US citation rate at 6.8% overall by May 2026, around 23% in travel and hospitality, and under 4% in professional services. If you sell professional services, assistants cite outside sources less often, which makes the few citations that exist worth more.

What we’d do

Tack has been building search visibility for brands since 2009, and the method for answer engines is not mysterious. It is disciplined.

  • Confirm you are crawlable by the right bots. Google’s own documentation says there are “no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary” and “no special schema.org structured data that you need to add,” but the page must be indexed and eligible to show a snippet. OpenAI separately requires that OAI-SearchBot be allowed to crawl. Blocking either removes you from the pool entirely.
  • Write the answer, not the article. One question per page, answered in the first 60 words, then the evidence. That block is what gets lifted.
  • Build the entity, not just the site. Consistent business data, a real Google Business Profile, review volume, and mentions on the platforms models actually pull from. Our SEO, AEO and GEO work treats those as one system rather than three campaigns.
  • Measure citations, not just rankings. Track which pages get cited, by which engine, for which prompt. Rankings and citations have decoupled, so tracking only one of them hides half the story.

Common mistakes

Blocking the crawlers that feed the answers. Plenty of firms added blanket AI bot blocks in 2024 and 2025 and never separated training crawlers from search crawlers. If OAI-SearchBot cannot read you, ChatGPT cannot cite you. That is a self-inflicted zero.

Treating this as a content volume problem. Publishing 40 thin posts will not put you in a fan-out result. Ten pages that own ten specific questions will, because each one can be retrieved for a different sub-query.

Ignoring the off-site half. If every claim about your business originates from your own domain, the model has one source and no corroboration. Directory listings, review platforms, podcasts, industry roundups and community threads are what turn a claim into a fact. Pair that work with your paid media and conversion programme so the traffic the citations produce actually converts.

The bottom line

AI assistants recommend businesses that are easy to retrieve, easy to verify and consistently described by people other than the business itself. Rankings still help, but corroboration is now the deciding factor. Build the evidence trail and the citations follow.

If you want to know exactly what four assistants say about your company today, and what it would take to change it, book a call at calendly.com/tack-media-agency/talk-to-an-expert or call TACK at 310-620-1141. Engagements start at $5,000 per month. Twenty minutes, and you will know where you stand.

Sources

AEO AI search citations GEO SEO
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