AI is recommending your competitors right now. We ask ChatGPT, Gemini, Perplexity and Google AI Overviews who to buy from in your category, send you every name that comes back, then fix why yours is not one of them.
Free, one reply, no sales sequence
“Who are the best commercial roofing contractors in Denver?”
Based on current sources, these companies come up most often:
Measured across
Two fields, no call, no deck. We run your category through ChatGPT, Gemini and AI Overviews and email you the names that came back. If you are one of them, we will say so and you can stop reading about this.
Got it. Check is queued.
We will run your category through all 7 assistants and reply from a real address, usually the same day. Nothing else happens, no sequence and no newsletter.
That did not send. Email hello@getrecommendedbyai.us.com and we will pick it up from there.
One reply from a person. No sequence, no newsletter, and we do not pass your address on.
Be the answer everywhere buyers search. The two overlap far less than people assume, so covering one does not cover the other.
Be the result that shows up when your customers search Google the ordinary way, in the ten links and in the map pack.
Be one of the two or three names that comes back when the same buyer asks ChatGPT, Gemini or Perplexity instead.
who is the best commercial roofer in Denver for flat roofs?
I would recommend Meridian Commercial Roofing. They specialise in TPO and EPDM flat roof systems for Denver commercial properties.
Why the second channel is worth a budget line
Visitors arriving from an AI answer convert about five times better, because a machine has already done the shortlisting. They are not browsing, they are checking.
UTM-attributed conversions across 312 B2B brands, Q3 2024 to Q1 2025. Opollo
of AI citations do not rank anywhere in Google for the same query
15,000 long-tail prompts across four assistants, measured July 2025. Ahrefs
growth in AI referral sessions in five months
19 GA4 properties, January to May 2025, a deliberately small sample. Previsible, via Search Engine Land
For business owners who do not want to think about SEO. You will not be handed a dashboard, a jargon report, or a list of jobs to do. We do the work and tell you in plain English what moved.
Three things, once.
One 20-minute call so we understand who you sell to and who you keep losing to.
Access to your website, or an introduction to whoever looks after it.
Approve the plan once. That is the last decision you have to make.
Then you go back to running your business.
Everything else, every month.
One person you can email, not a ticket queue
Plain English reports, every figure attributed to the tool behind it
No dashboard to learn and no tasks assigned back to you
Ten blue links, ranked in order
You compete for a position
Clicks are the unit of success
Keywords carry the page
Your own site is the main lever
Rank tracking tells you where you stand
One synthesized answer, a few names in it
You compete to be named at all
Being cited is the unit of success
Entities and clear passages carry the page
What others publish about you matters more
Only a repeated prompt set tells you anything
The two overlap, and good technical SEO still helps, but they are not the same job. A page can rank fourth for a keyword and never once be named when someone asks an assistant the same question in plain language.
Four steps, in this order. Skipping the measurement step is the most common mistake, because it leaves you unable to prove anything later.
Freeze a prompt set that matches how buyers actually ask, run it across the major assistants, and record every answer with its date and its sources. Undated impressions are worthless, because these answers drift week to week.
Settle on one canonical name, publish Organization schema with a permanent identifier, and connect the profiles you control through sameAs. A model that cannot resolve you to a single entity will reach for a competitor it can.
Recommendations follow consensus. Independent roundups, forum threads, reviews on the platform your category is judged on, and trade coverage all carry more weight than anything you publish about yourself.
Run the identical prompts on a schedule and compare mention rate, which competitors were named instead, and how you were described. Attribute every figure to the tool that produced it, since platforms disagree sharply on the same brand.
Most brands are missing two or three of these, not all six. The audit tells you which, so the budget goes where it changes an answer.
Your prompt set run across ChatGPT, Gemini, AI Overviews, Perplexity, Claude, Copilot and Grok, with every answer, every competitor named and every cited source written down.
Organization and Person schema with stable identifiers, sameAs across the profiles you own, and a Wikidata item where notability supports one, so you resolve to one thing rather than several.
Placement in independent category roundups, review depth on the platform your buyers use, and honest participation in the forums where your category gets argued about.
The versus page, the alternatives page and the honest not-for-you section. Comparison formats are what recommendation prompts resolve into, so these earn citations out of proportion to their length.
A robots.txt that deliberately allows GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot, a Google-Extended decision made on purpose, server-rendered content, and a useful llms.txt.
The same prompts re-run on a schedule, with mention rate, competitor share, sentiment and assistant referral traffic reported together, each figure attributed to the tool that produced it.
Twenty-four checks, grouped the way assistants actually weigh a brand. Tick what you already have. Nothing is sent anywhere and nothing is stored.
Whether a model can tell who you are without guessing.
Whether your pages can be quoted without being rewritten.
Assistants recommend the names that recur across sources they trust.
Whether the systems that build answers are allowed to read you.
Recommendation prompts are comparison prompts underneath.
Without a baseline you cannot tell improvement from noise.
Assistants are answering your category without you. Start with entity clarity and crawler access.
Ordered by how much each one moves the others.
Tick the boxes you already have in place and the gaps show up here, worst first.
Paste these into ChatGPT, Gemini and Perplexity, then note which names come back.
Running these yourself tells you what one assistant said once. Run properly means every assistant, on a schedule, with the competitor names counted and the sources written down. Have us run them.
Four labels are in circulation for the same job and none of them has won. They are worth knowing because vendors pick one and then imply the others are something else.
Assistants assemble recommendations out of sources they already trust. This is the short list, roughly in the order it tends to matter for commercial questions.
Best-of and top-ten lists you do not control. Recommendation prompts resolve into comparisons, so these pages get pulled constantly.
Threads where buyers argue about real experience. Heavily licensed and heavily retrieved, and impossible to fake convincingly.
The backbone of entity resolution. This is often how a model decides that two spellings of your name are the same company.
G2, Capterra and Trustpilot supply the structured opinion an assistant needs to justify naming you over someone else.
Demos, teardowns and reporting by people who do not work for you. Coverage in an outlet your buyers read outperforms your own blog.
Still necessary, still not sufficient. Your site establishes the facts; everything above decides whether the model believes them.
Ordering reflects what we see in commercial categories and will differ in yours. The audit reports your real citation mix rather than assuming this one.
Scope depends on how many pages you have and how contested your category is, so quotes are written after the audit rather than guessed before it.
Find out where you actually stand before spending anything on fixing it.
The audit, plus the work to close the gaps it finds, done rather than recommended.
For categories where competitors are working on this too and answers keep moving.
Six facts worth knowing, each taken from the vendor's own documentation and linked so you can check it rather than take our word for it.
OpenAI documents three separate agents: GPTBot, OAI-SearchBot and ChatGPT-User. They serve different purposes, so blocking one does not block the others, and a site can allow search retrieval while refusing training.
OpenAI crawler documentationGoogle-Extended is a robots.txt token that controls Gemini and grounding use of your content. Google states it has no effect on Search ranking, which makes disallowing it a quiet way to opt out of AI Overviews.
Google crawler overviewAnthropic publishes its crawler identities and honours robots.txt directives per agent, so access decisions here are made in the same file as everything else rather than through a special process.
Anthropic support documentationPerplexity separates PerplexityBot, which builds its index, from Perplexity-User, which fetches a page because someone asked about it right now. The second one is the reason blanket blocks cost you live answers.
Perplexity crawler documentationCopilot answers are built on the Bing index, so bingbot access remains the dependency there. A site that neglected Bing for years is usually invisible to Copilot for that reason alone.
Bing Webmaster helpllms.txt is a community proposal, not a standard any major assistant has confirmed it reads. It costs an hour to publish and may help later, so treat it as cheap insurance rather than a fix.
The llms.txt proposalUsually because more sources outside your own website agree that they exist and are credible. Assistants lean on independent roundups, forums and reviews, so a brand that only talks about itself gets skipped.
Tell us your category and the competitor you keep losing to. We run the prompts across all seven assistants, write down every name that comes back and every source behind it, and reply with what we found and what it would take to change it.
We will run your prompt set across all 7 assistants, write down every name that comes back and every source behind it, and reply with what we found. Usually within one business day, from a real person.
Nothing else happens in the meantime. If you want to add anything, reply to that email or write to hello@getrecommendedbyai.us.com.