Tag Archives: GEO

The Buyer is an Agent: How to sell to something with no eyes – and why SEO, GEO and AEO just became one job.

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Your next customer may never look at your website. A machine will read it, compress it, and hand a human three options. You are no longer charming a person in a chair – you are being quoted by something with no patience and no taste for adjectives.

PART ONE: HOW OFTEN IS THIS ACTUALLY HAPPENING?

1. Today: 45% of consumers already use AI in the buying journey (IBM, Jan 2026) – 41% research, 33% reviews, 31% deal-hunting.

2. Next season: 60% of shoppers expect to use an agent within 12 months (Kearney). By 2030, half of online shoppers will, carrying ~25% of their spend.

3. The traffic already arrived: AI-referred retail traffic grew 393% year over year in Q1 2026 (Adobe); Shopify orders from AI search rose 13x.

4. And it converts: AI-referred visitors convert ~42% better than traditional search – +37% revenue per visit, +87% time on site.

5. B2B is the bigger stadium: Gartner expects 90% of B2B purchasing to route through agents by 2028: $15 trillion, machine to machine.

6. The trust gap is the strategy: 65% of Americans trust AI to compare prices; only 14% let it buy unsupervised. The agent makes the shortlist, the human signs it.

7. You can’t see it happening: About 70.6% of AI referral sessions log in GA4 as “direct” – you are read far more than your dashboard shows.

PART TWO: THE WORLD CUP PART

8. Nobody gets signed off a highlight reel. An agent scouts you like a federation scouts a striker: minutes played, conversion rate, injury history. “Award-winning” is not a stat.

9. Semi-automated offside doesn’t hear the crowd. It reads coordinates. Your hero video and parallax scroll are crowd noise. JSON-LD is the coordinate.

10. It’s a group stage, not a final. Agents shortlist three to five. FAQ schema makes content ~3.2x likelier to surface; full Product + Review schema hits ~61.7% citation.

PART THREE: WHO DOES WHAT ON MONDAY MORNING

11. Designers: beauty that can’t be parsed is decoration. Real headings, real text – 44.2% of LLM citations come from the first 30% of a page. Answer first, then be gorgeous.

12. Developers: JSON-LD for Organization, Product, Offer, FAQ. Server-render the facts. Allow GPTBot, ClaudeBot and PerplexityBot – a quarter of the top 1,000 sites block them. Ship llms.txt: hours, not weeks.

13. Marketers: trade adjectives for numbers. Princeton’s GEO research measured up to 40% visibility gains from citing statistics and sources. About 86% of AI citations trace to brand-controlled pages.

14. Owners: pick one thing you can prove you are best at, publish the proof with a date on it, keep the date fresh. Vagueness is now a pricing disadvantage.

The referee is a machine now. Argue with it, or hand it clean footage and let it put your name on the scoreboard. 88% of marketers have already started; the other 12% are about to learn what relegation feels like.

Let Another Man Praise Thee: Your employees already wrote your best recruiting copy. Fifteen ways to go get it.

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Somewhere out there, a warehouse lead sat on the edge of his bed at eleven at night and typed four sentences about your company into a review site. Nobody paid him. Nobody handed him a creative brief. And what he wrote beats the careers page you spent forty grand on, for one simple reason: nobody believes you. They believe him.

Proverbs 27:2 says let another man praise thee, and not thine own mouth. Three thousand years later, every employer brand deck still breaks that rule on slide one. Says who? Says you. That’s the whole problem. Here’s how to fix it.

1. Go dig it up. Pull the last twenty-four months of everything – reviews, LinkedIn recommendations, exit interview notes, the open-text box on the engagement survey that somebody reads once and files. Print it. Get a highlighter. You are not brainstorming; you are doing archaeology on a site you already own.

2. Make two piles. Pile one: things anybody at any company could have written. Pile two: things only your people would ever say. Pile one is garbage – throw it out without guilt. Pile two is the entire rest of this article.

3. Specifics beat superlatives. “Great place to work” is the beige paint of the internet. But a med-surg nurse writing that her charge nurse quietly absorbed two patients so she could make her daughter’s recital? That lands. So does a driver saying that in three years dispatch has never once made him miss a Friday night at home.

4. Paraphrase, never lift. Don’t paste somebody’s review onto a billboard. The terms of service are a headache, they wrote it anonymously for a reason, and conscripting a stranger into your marketing is a little creepy. Find the pattern and say the pattern: home time here isn’t a promise, it’s a schedule.

5. LinkedIn is signed. Glassdoor is anonymous; a recommendation has a real name, a real face, and a reputation attached to it forever. Your former managers have been quietly publishing a leadership review of your company for years. You have never read it. Go read it tonight.

6. Ask the boomerangs. The people who left and came back are your most credible witnesses on earth, because they went and looked at the alternative. Ask them one question – what made you come back – and shut up. That answer is your retention strategy in a sentence.

7. Check the weird corners. Indeed and Comparably are obvious. Blind, RepVue, Levels.fyi, Fishbowl, industry subreddits, and the Google reviews of your own hiring event are where people talk when they think you’re not in the room. That’s exactly why it’s worth reading.

8. Know your industry’s tell. Nobody reviews a company; they review the thing their industry gets wrong. Manufacturing: does the plant manager know names, and does broken equipment get fixed. Healthcare: ratios, and whether the posted schedule is the real schedule. Public accounting: what busy season actually costs you. Restaurants: does the GM work the line on a bad Saturday.

9. And the rest of them. Construction: is safety a culture or a poster. Home health: mileage reimbursement, and whether the scheduler picks up at six a.m. Trucking: does the settlement match the rate confirmation. Community banking and insurance: is the career ladder real or decorative. Find where somebody says you got the hard part right, then build on that one sentence.

10. Name people, not perks. Nobody ever took a job for a ping-pong table, and nobody ever wrote a heartfelt review about cold brew on tap. They write about a supervisor who covered a shift during a funeral. Perks are amenities. People are the product.

11. Own the criticism. A city set on a hill cannot be hid, and neither can your two-star reviews – so quit pretending. A calm, non-defensive, non-robot reply to a rough review persuades skeptical candidates more than a wall of five stars, because it’s the only thing on the page proving a human is home.

12. Put it everywhere. Job postings. Recruiter outreach. The offer letter. Day one of onboarding. The sales deck. The RFP response. The lobby wall, the break room, the investor update. If a candidate can reach the interview without hearing your own people talk about you, your marketing is broken.

13. Stop burying it. Right now the good stuff gets screenshotted, dropped in a channel, hearted by nine people, and forgotten. That is the parable of the talents with a corporate expense account – the servant who dug a hole, hid what he was given, and got absolutely torched for it.

14. Repetition is the strategy. Most companies win a Best Places badge, hang the plaque by the elevator, post once, and go silent for eleven months while the plaque becomes wallpaper. Yell it from the mountain. Then climb back up next Tuesday and yell it again, because nobody heard you the first time.

15. Fix the job first. Faith without works is dead, and so is employer branding without a decent job under it. Trust research keeps landing in the same place: people believe employees far more than executives. That cuts both ways – great marketing on a bad job just helps people quit faster and tell more friends.

Here’s the whole thing in one line. Somebody already said the most believable, most specific, nicest thing that will ever be said about your company, and they said it for free. Go find it. Then don’t hide it under a bushel – put it on the lampstand where everybody walking past can see the light.

Your Best Copywriter Already Wrote It, Charged You Nothing, and You Buried It

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Sixteen ways to put your Google reviews back to work

Everybody knows the line from the baseball movie. Build it and they will come. That is the biggest lie in small business. You built it, you do good work, and a stranger comparing four names on a phone at 10:47 on a Tuesday night has no idea you exist.

Here is the part that stings. Your customers already wrote your ad for you. They typed it into a little box on Google, hit post, and went to bed. It got read by nobody and then it sank.

This is not a soft idea. Nielsen has been reporting for years that people trust other people way more than they trust companies. Edelman’s yearly trust survey keeps showing the same slide, where the big official voices lose ground and regular voices pick it up. Researchers at Harvard who studied restaurant ratings found that one extra star moved sales enough to decide whether a place kept its doors open. You can borrow that trust. You just have to carry it somewhere people will actually see it.

1. Use her sentence. A heating company pays real money for a headline like Comfort You Can Count On. That same company has a review from a woman who wrote that the tech put covers over his boots without being asked and told her the price before he touched a single screw. One of those two sentences was written by somebody who was actually in the house. Guess which one belongs on the homepage.

2. Answer the fear first. Every business has one worry nobody says out loud. For movers it is not price, it is watching strangers carry your grandmother’s dresser down a stairwell. Somewhere out there is a review where a customer mentions that nothing broke and then spends the rest of the paragraph on the fact that nobody made her feel rushed. That second part is the sale.

3. Three stories per proposal. Roofers, remodelers, IT firms, and commercial cleaners all send documents that end with a price and a signature line, which is a cold way to finish a pitch. Put three short customer stories on the last page instead. Swap them by job type so the church renovation prospect reads about a church.

4. Praise at the register. The invoice. The booking page. The confirmation email. The hold music. The sign by the front desk. A dentist’s payment page is a moment of quiet dread, and one line from a patient who admits she put the appointment off for six years does more work there than any certification badge.

5. One review, one post. You will never stare at an empty content calendar again. A dad writes that his kid finally stopped covering his mouth in photos. That is an orthodontist’s whole quarter of marketing, sitting in one line, written by somebody with nothing to gain.

6. Retell, do not screenshot. A cropped screenshot slapped on a stock background is lazy and everybody can smell it. Tell the story in your own words, then say what happened next. Thirty words of context turns a testimonial back into a story, and stories are the only thing people share.

7. Praise recruits people. Trades, dental groups, vet clinics, and home care agencies are all fighting over the same shrinking pile of good workers, and every one of those job ads reads the same. Drop three real customer stories into the posting. Nobody wants to work at a place nobody thanks.

8. Read them out loud. Monday meeting, out loud, using the name of the person mentioned. There is a review on some vet clinic’s page where the writer barely mentions the diagnosis and spends four sentences on the doctor sitting down on the floor next to the dog. That hits somewhere a performance review never will.

9. People tell you what stuck. Stack up a hundred reviews and count what keeps coming up. Nobody writes about your equipment. If the auto shop keeps hearing about the mechanic who walked customers out to the bay and showed them the busted part, that is not a nice touch, that is the product. Hire for it. Train for it. Put it in the ad.

10. Paragraphs beat stars. A four star review with six sentences of detail sells harder than a five star that says great job. Stop sorting your best material by rating and start sorting it by story. The one people believe is the one that mentions a hallway, a time of day, or a name.

11. Old praise reads dead. A wall of glowing reviews that stops in 2021 tells a stranger the good crew already left. Fresh ones are their own kind of proof, separate from what they say. Somebody comparing four names on a phone at eleven at night is checking whether you are even still open.

12. Ask at the peak. Most companies send the automatic text three days later, which is about three days after the feeling wore off. Ask when the boat dealer hands over the keys, when the crew pulls the last fan out of a flooded basement, when the surgery goes fine. Tell them straight that what they write helps the next scared person pick. You will get paragraphs instead of stars.

13. Give it a face. Thirty seconds, one phone, somebody on your team reading a customer’s story out loud. Better, ask the customer to say it again on camera. Med spas, wedding venues, and injury firms live on this, but a storage facility can run the same play.

14. Customers write better ads. Take the strongest line a customer gave you, clean it up, and run it against whatever your agency wrote. It will be shorter, stranger, and more specific, and it will usually win, because it came from somebody who was not being paid to like you.

15. Your reply is content. Answer all of them, the good ones too, because your response is public and permanent and read by strangers. A funeral home writing back to a family a year later and remembering the son’s name is not doing customer service. It is publishing.

16. The bad one sells too. Nobody believes a perfect profile. The person reading your one star review is not checking whether you are flawless, she is checking who you turn into when something goes wrong. Answer it like fifty people are watching, because fifty people are.

Somewhere in your company there is a person who thinks repeating nice things about yourself is tacky. It is not. Your customers said it, they meant it, and sitting on it does not make you humble. It makes you quiet while a competitor doing worse work does all the talking.

There is an old Christmas movie where a department store Santa tells a mother she can get the toy cheaper across the street. Everyone in the room figures he just cost the store a sale. Instead there is a line out the door, because he told the truth and she told everybody she knew. That is the whole thing right there. Say it out loud. They already wrote the words for you.

The Catalogue of Ships: Why the numbers in your drive are worth more given away than kept

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Book Two of the Iliad stops the war cold so Homer can list the ships. Who sailed, from where, how many hulls, under whose command. It is the passage every reader skips, and it is the passage scholars have been citing for three thousand years, because it is the one place the poem quits singing and starts counting. The war reads as real because somebody did inventory.

That is the whole argument. The rest of this is just me making it inconvenient for you.

1. The research keeps finding the same two levers

The academic work on generative engines did something refreshingly dull. Researchers took source pages, rewrote them nine different ways, pushed them through the systems that write answers, and measured which rewrites got pulled into those answers more often. Keyword tricks did essentially nothing. Two edits did nearly all of the work: real statistics with sources, and quotes from named humans with credentials. Visibility moved by double digits, and it moved hardest in the crowded categories where every vendor already sounds like every other vendor.

The reason is not mysterious. A model composing an answer needs somewhere to put specificity. It has four hundred interchangeable ways to say your industry is changing fast. It has exactly one way to say that dwell time at grocery distribution centers in the Southeast runs 2.7 hours against a 45-minute appointment window – and that sentence has your name welded to it.

2. Most “proprietary” data is just unopened

Every operator I meet has a folder. Warranty returns by SKU. Denial codes by payer. Dwell times by receiver. Reorder intervals going back to the Obama administration. The reflex is to call it proprietary. Usually it isn’t proprietary, it’s just unpublished. Proprietary means a rival could beat you with it. Unpublished means nobody can use it at all, including you, while it quietly rots in a drive nobody has opened since the last CRM migration.

There is a parable about a servant who buries the money he was given. He is not rebuked for losing it. He is rebuked for making it inert. Sitting on data is not a neutral act.

3. Go dig. Here is where to put the shovel.

Stop hunting for somebody else’s study to cite and go count something only you can count. A few I would pay money to read:

  • A freight brokerage already knows detention hours by receiver type and region. Nobody has ever published what an average dock actually costs a driver. That figure would be quoted in logistics answers for the next five years.
  • A dental group has fifteen years of charts. What share of patients who skip two consecutive cleanings need a crown within five years? The whole profession is guessing. You have the answer sitting in your practice management system.
  • A commercial insurance broker can say which kitchen layouts generate fryer burn claims, and at what rate per thousand covers served.
  • An equipment dealer in the Corn Belt can put bushels on each day of planting delay, banded by soil temperature. Growers argue about this at the co-op every spring with nothing but folklore.
  • A medical billing shop knows denial rates by payer and code. Better yet, it knows what share of denials come back paid on first refile – a number that is worth a keynote.
  • A regional staffing firm knows time-to-fill by metro and role. Every CFO in the country is currently estimating that number badly.
  • A residential mover knows breakage by packing method. Publish it and you have written the definitive citation on whether dish barrels are worth the upcharge.

None of that needs a data science function. It needs one person with database access and a free afternoon.

4. Then put a human being’s name on it

The second lever is a person, not a brand voice. A named human with credentials – a title, a tenure, twenty-two years on loading docks, licensed in four states, board-certified in something. These systems learned from a corpus in which credentials predict reliability, so they reach for the sentence somebody is accountable for. An unattributed claim from a company is marketing. The same claim from your named VP of operations is testimony. Identical words, completely different gravity.

5. The giveaway is the distribution

The Rosetta Stone is a tax decree. Bureaucratic housekeeping about temple revenues, of no importance to anyone. It survived because it was carved in public, in three scripts, in a place where strangers could read it. The confidential decrees of that era are gone. The one they gave away unlocked a language.

You will not get distribution by parking the good stuff behind a form. A machine cannot fill out your form, which means every gated PDF is now invisible to the thing your buyer is asking. And this race has a very short lead: the first credible number on a topic becomes the anchor, gets restated, gets cited by people citing the people who cited you, and hardens into the default answer. Second place gets summarized as “some estimates suggest.”

6. Legal will say no. Here is the yes.

The answer is almost always the same three moves: aggregate, lag, anonymize. Nothing below two hundred observations. Ninety days delayed. No client names, no geography tighter than a metro. State your method plainly – sample size, window, what you excluded and why. That is a defensible dataset, and frankly it is more rigor than most of what your industry currently passes around as a benchmark.

7. Publish the dog that didn’t bark

Holmes cracks one case on the fact that the dog stayed quiet. Negative findings are findings. The retention tactic that moved nothing. The material that failed in salt air. The segment that never converted no matter what you spent. Almost nobody publishes these, which is precisely why they get quoted – a system trying to give a balanced answer has almost nothing to reach for on the “it didn’t work” side of the question.

Last thing

Borges imagined a library containing every possible book and made the quiet point that total information is indistinguishable from noise. That is the corpus these machines are reading now. Infinite shelves, mostly interchangeable. The way out is not to write more. It is to be the one shelf with a number on the spine, a name underneath it, and a date.

Go find your ships. Count them. Publish the list.

Go Join Something. The Machines Are Taking Attendance.

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Why directories, associations and conference programs quietly decide whether an AI ever says your name

For twenty years the game was ranking. Ten blue links, everybody elbowing for the top three, and an entire industry built on the theory that page two of a search result is where URLs go to die. That game is not over, but a second one has started next to it. Somebody types a question into a chatbot and gets back three names and a sentence apiece. No links to scroll. No page two. Just a short list, handed over with the serene confidence of a machine that has never once been unsure of anything.

Shakespeare had Juliet ask what’s in a name, and decided the answer was: not much, a rose smells the same either way. Respectfully, Juliet was not doing business development in 2026. Right now a name is a retrieval key, and if a machine cannot find yours in enough places, written down by enough people who are not you, then as far as that machine is concerned you are a rumor.

The fix is unglamorous and very old-fashioned: join things. Directories, member rosters, trade associations, industry clubs, licensing boards, alumni lists, award shortlists, speaker programs. Show up at conferences that print your name and your company somewhere a crawler can reach. Here are ten reasons that works, and what these systems are actually doing behind the curtain.

1. Corroboration beats claims. Your website says you are a leading advisor in your field. Of course it does; nobody’s About page says otherwise. A retrieval system treats your own site as a single witness with an obvious motive. A member roster, an association directory and a conference agenda are three additional witnesses with nothing to gain. Journalists call this sourcing. Machines do the same thing, faster and with less coffee.

2. You become an entity. Before answering anything, these systems try to resolve a name into a thing – a node with attributes, sitting in a knowledge graph. This is the same architecture a major search engine shipped over a decade ago, now doing much heavier lifting. Repeated, consistent listings of your name, title, company, city and specialty are what turn a string of characters into a node. Inconsistent listings turn you into three half-people.

3. Retrieval, not memory. The dominant technique in the research literature is retrieval-augmented generation: the model does not recall you from training, it goes and fetches supporting passages at the moment of the question, then writes around them. That means the unit of visibility is the passage, not the website. Directory entries are short, structured, fact-dense and self-contained – close to a perfect passage. Your 1,800-word narrative about the founding journey is close to a perfect nap.

4. You are your neighbors. Language models learn meaning from proximity; words that keep appearing near each other get treated as related. Sitting inside a specialist association’s member list drops your name into a dense cloud of the exact vocabulary your buyers use. One firm I watched went from invisible to routinely named in its category without publishing a single new blog post – it just got itself into four rosters where the category language already lived.

5. Structure is a shortcut. Directories publish in tidy, repeating templates, usually with schema markup underneath. Clean fields, predictable labels, machine-readable. Parsing your listing costs a system almost nothing; parsing your hero image and animated scroll effects costs it a lot. Being easy to read is an underrated competitive advantage, in software as in people.

6. Conferences mint citations. A conference is a citation factory that also serves bad coffee. Speaker pages, session agendas, sponsor lists, press releases, post-event recaps, someone’s enthusiastic write-up – all timestamped, all third-party, all indexable, all naming you and your company in the same breath as your topic. One panel can seed a dozen independent mentions. Even the badge scan is optional; the program is the point.

7. Recency carries weight. Retrieval systems tilt toward fresh material, partly to avoid confidently reporting things that stopped being true. A directory entry from 2019 with a dead phone number is a fossil, and worse, a contradiction the system now has to resolve. Current listings say you still exist. That is a lower bar than it sounds, and plenty of people are failing it.

8. The long tail wins. Nobody asks a chatbot for the best consultant. They ask who handles compliance readiness for early-stage payment startups in the Midwest, and they expect a real answer. Niche directories are built entirely out of that kind of specificity – the sub-sub-category, the credential, the region – which is precisely the language a narrow question is fishing for. Broad visibility is expensive. Narrow visibility is available to anyone willing to fill out a form.

9. Disambiguation protects you. There are other people with your name. One of them is a minor-league pitcher and one of them is in the news for reasons you would not enjoy. Systems separate identical names using surrounding detail: city, employer, credentials, field. Every consistent listing adds another distinguishing feature and lowers the odds that a machine merges you with a stranger. A study of AI-generated answers found a meaningful share of confident attributions pointing at the wrong entity entirely; that is a coin flip you can load in your favor.

10. It compounds. One listing is noise. Twelve consistent listings across independent sources are a pattern, and pattern is what these systems reward – they are, at bottom, elaborate machines for noticing that many places agree. This also explains why the shortcut fails: dumping your name into fifty junk link farms produces volume without independence, and low-quality sources get discounted or filtered. Ten places that a human would respect beat a hundred that nobody would.

None of this is a growth hack. It is the same advice a decent mentor gave a nervous junior colleague in 1985 – join the association, go to the conference, get your name in the program – with one new wrinkle. The room now includes a very literal-minded participant who reads every roster, remembers every agenda, and forms opinions about who counts based entirely on where your name shows up and how often the sources agree.

So audit yourself the way a machine would. Search your own name and your company together and see what a stranger would conclude. Fix the listings that disagree. Renew the memberships you let lapse. Take the panel slot, even the 8:15 a.m. one on the last day.

Juliet was wrong about names, but she was right about one thing: it is a terrible idea to depend on a single source of information. Go get listed.

Say Their Names: Hiding from your competitors used to be a branding choice. Now it’s a search problem.

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There’s a moment in Mad Men where the ad man tells a panicking client that when the conversation is going badly, you don’t argue with it. You start a different one. That was about cigarettes in 1960. It’s a pretty good job description for your website right now.

Here’s what nobody warned you about with AI search. When a buyer asks an assistant whether they should go with you or the shop across town, the assistant does not visit your homepage and admire your mission statement. It goes looking for text that already frames that exact choice. The head-to-head. The “which one is better.” The ranked list. And it finds one. It always finds one. The only real question is who wrote it.

For most companies, the answer is: a forum thread from four years ago written by somebody who had one bad week with you. A review aggregator whose business model is selling you a rebuttal. A directory that charges for placement and doesn’t mention that. Or, best case, a competitor’s marketing team who was clever enough to write the comparison first and generous enough to include you in it, in the column where you lose.

None of this advice is new in spirit. Researchers looking at how these systems pick what to cite keep landing in the same place: the machine surfaces what’s clear, current, specific, and easy to lift out of the page in one piece. Marketers have been saying a version of this since the first assistant started eating clicks. What is new is that a real chunk of your buyers now never land on your site at all, so your copy has to survive being read by software, compressed into three sentences, and repeated to someone who will never check.

So write the comparison yourself. Ten ways to do it.

1. One page per rival. Not one page listing eight of them. A page that lists eight competitors is a page about nothing, and a retrieval system treats it that way. Give each real competitor its own URL, its own headline with both names in it, and 600 to 900 words of actual comparison. Six of these beat one big roundup every time, because each one matches a question somebody is actually typing.

2. Lead with the question. Your headline should be the sentence a buyer would say out loud, not a clever phrase your agency likes. If people ask which is cheaper for a small team, that’s your H2, word for word. Then answer it in the first two sentences underneath, before any setup. Front-load the conclusion. Machines pull the paragraph directly under the heading, and so do skimming humans.

3. Concede something real. Say plainly where the other guy is better. Not a fake weakness, a real one. This does two things: it makes the rest of the page believable to a human, and it gives the model a balanced passage it’s far more willing to quote than a page that reads like a press release. Pages that only flatter themselves get treated as marketing and skipped. I’ve watched a client double their comparison traffic by adding one honest paragraph.

4. Best for whom. End every comparison with two short verdicts instead of one. Choose us if you’re this kind of buyer. Choose them if you’re that kind. Be specific enough that it stings a little: team size, budget, timeline, technical skill. Assistants love this structure because the question they’re usually answering isn’t “who is best” but “who is best for me,” and you’ve just handed them the answer key.

5. One yardstick, both ways. Pick five or six criteria that buyers actually raise and run both companies through all of them, in the same order, in prose. Not a chart. Charts get stripped out when a page is parsed, and half the meaning goes with them. Write it as short subheads with a paragraph under each. If you cover response time for yourself, cover it for them too. Uneven coverage reads as dodging, to people and to software.

6. Put a number on price. Everyone wants to write “contact us for pricing” and everyone gets punished for it. You don’t have to publish a rate card. Publish a range, a typical project, a starting point, what drives it up. A page with a real number in it becomes the source; a page without one becomes the thing a Reddit guess gets cited over. If your pricing is genuinely complicated, say what makes it complicated. That’s an answer too.

7. An alternatives page. Separate from the head-to-heads, build one page titled around the phrase people search when they’re leaving somebody else in your category. List the real options, describe each fairly in a short paragraph, include yourself, don’t rank yourself first. It feels insane the first time. It works because it’s the exact shape of the question, and because a page that treats the reader like an adult gets cited more than one that treats them like a lead.

8. Make switching concrete. Nobody stays with a vendor they like. They stay because leaving looks like a nightmare. So describe the leaving: what gets moved, who does it, how long it takes, what breaks, what it costs. A page that walks through a switch step by step answers a question no competitor is answering, which means it has almost no competition in the index.

9. Date everything. Put a visible “last reviewed” line at the top, and actually review it on that cadence. Stale comparisons are worse than no comparisons, because now you’re the one publishing wrong information about somebody else. Retrieval systems weigh freshness heavily on anything that looks like a product claim. A quarterly calendar reminder is the whole implementation.

10. Mine your sales calls. Stop guessing what the comparison should cover. Go pull the last thirty deals you lost and the objections you heard, and write the pages in the buyer’s vocabulary instead of your category’s vocabulary. They don’t say “end-to-end solution.” They say “I don’t want to babysit it.” Use their words. That phrasing match is most of why one page gets surfaced and a better-written one doesn’t.

Two things about posting it. Give each page a clean, boring URL with both names in it, keep the whole comparison on one page rather than behind tabs or accordions that hide the text, and add basic FAQ markup so the questions and answers are machine-readable. And don’t let these pages sit in a dusty resources folder. Link them from your pricing page and your navigation, mention them in sales emails, and say the same things in the places where your buyers actually argue, so the claim shows up in more than one house.

One caution, since somebody always takes this too far. Comparative copy is legally fine when it’s accurate and it’s opinion where it’s opinion. It stops being fine the second you invent a fact about somebody else’s product. Write it the way you’d want a competitor to write about you: firm, specific, a little generous, and true.

The alternative is leaving the sentence about you to a stranger, a scraper, and a directory getting paid by the person who wants your customers. That conversation is already happening. Go change it.

40 Things to do to Make Your Website More Visible to AI Search

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Here’s the uncomfortable truth nobody in your marketing meeting wants to say out loud: your customers have started asking ChatGPT instead of Googling you. Gartner predicted traditional search volume would fall 25% by 2026, and that call is tracking almost exactly. McKinsey now puts the AI-mediated commerce opportunity at $750 billion in U.S. revenue by 2028, and in McKinsey’s own consumer survey, 44% of people now call AI their primary source of insight, versus 31% who still reach for a traditional search engine first. ChatGPT alone processes roughly 2 billion queries a day. That is not a trend piece. That is the floor moving under your business.

And here is the part that should really get your attention: the traffic that does arrive from AI search is worth dramatically more than the traffic you’re used to. Ahrefs found that AI-referred visitors converted at 23 times the rate of regular organic traffic, with just 0.5% of visits driving over 12% of signups. Semrush’s 2026 numbers put the average conversion advantage at 4.4 times. Exposure Ninja and Seer Interactive both clocked AI search converting around 14.2% versus roughly 2.8% for Google, and Adobe Analytics found AI-referred shoppers converting 42% better while spending 48% more time on product pages. Shopify saw AI referral traffic convert nearly 50% higher than organic on its storefronts in early 2026. Why? Because the person clicking through has already done their homework inside the AI conversation. They’re not browsing anymore. They’re buying.

So this is not a ‘nice to have someday’ project. I pulled together everything I could find from SEO strategists, GEO researchers, ecommerce operators, B2B marketers, and the Princeton/Georgia Tech/Allen Institute research team that literally coined the term Generative Engine Optimization, and I organized it into three buckets, based on how much pain each one costs you. Start with the free stuff. Move up as you get proof it’s working.

PART ONE: 20 THINGS THAT ARE EASY AND YOU CAN DO NOW WITHOUT CHANGING ANYTHING

None of this requires a developer, a redesign, or a budget meeting. It requires someone on your team spending a few focused hours a week. Marketers running consumer brands, B2B SaaS teams, and local service businesses all told me some version of the same thing: the low-hanging fruit is still hanging.

1. Get real people talking about you on Reddit. Roughly 85% of brand mentions inside AI answers come from third-party pages, not your own website, and Reddit specifically shows up constantly as a source AI engines trust. Q&A-style threads account for over half of all AI citations pulled from Reddit. Do not astroturf it. Have your actual team members, actual customers, and actual founders answer real questions where your brand is genuinely relevant.

2. Get listed on the authority directories in your industry. G2, Capterra, Clutch, trade association member lists, ‘top 10’ vendor roundups – these are exactly the kind of third-party validation an AI model leans on before it will cite you. One study found brands with five or more independent third-party source types hit 78% AI coverage, versus 18% for brands relying on just one.

3. Claim, clean up, or build your Wikipedia and knowledge-panel presence. AI systems build a mental model of your brand as an entity. If Wikipedia, Wikidata, or your Google Business Profile contain outdated facts, that confusion follows you into every AI answer about your company.

4. Add real statistics, with sources, to pages you already have. This is not a small thing. The Princeton-led GEO study found that adding statistics was the single strongest tactic tested, producing the highest citation lift of any method measured. Replace ‘many customers’ with an actual number and a year.

5. Put named expert quotes into your existing content. Quoting a real person with a real title lifted citation rates by as much as 115% in some categories in that same research. AI models treat a quoted, attributed opinion as a fact-bearing unit they can extract cleanly.

6. Slap a visible ‘last updated’ date on your key pages and actually update them. Roughly half of all content cited in AI answers is less than 13 weeks old. Freshness is not cosmetic. It is a ranking signal AI systems weigh heavily.

7. Submit your sitemap to Bing Webmaster Tools. ChatGPT leans heavily on Bing’s index for retrieval. Marketers obsess over Google and quietly forget that ignoring Bing means quietly locking yourself out of the ChatGPT citation pool.

8. Publish a simple llms.txt file at your site root. Think of it as a welcome mat and cheat sheet for AI crawlers, pointing them to your most important pages. It costs an afternoon and nothing else.

9. Rewrite your headings as actual questions. People ask AI models questions in full sentences, not keyword fragments. Definition-first sentence patterns doubled citation rates in controlled testing, according to the GEO research team.

10. Add FAQ sections to your most important pages. Pick the 10 to 15 questions your customers ask most, answer them directly and completely in the first two or three sentences, then support the answer underneath.

11. Go collect reviews on G2, Trustpilot, and category-specific review platforms. AI answer engines treat review volume and sentiment as a trust signal almost the way they treat backlinks in classic SEO.

12. Get your founders and subject-matter experts answering questions on Quora and industry forums. Consultancy-heavy fields like legal, finance, health, and insurance are already seeing outsized AI referral traffic, and forum-based expertise is a big reason why.

13. Pitch yourself for ‘best of’ and comparison roundups on the publications your buyers already trust. Distributing your story to a range of outside publications, instead of only your own blog, has been shown to lift AI citation rates by as much as 325%.

14. Add real author bios with real credentials to your blog and resource content. A named human with a verifiable background is worth more to an AI model’s trust calculation than a generic ‘Admin’ byline.

15. Check that you’re not accidentally blocking AI crawlers in robots.txt. It happens constantly, usually by accident, usually inherited from an old security setting nobody remembers approving.

16. Push your existing content out through LinkedIn, YouTube, and podcasts, not just your blog. AI engines increasingly pull from video transcripts and podcast text as citable sources, and this costs you zero new content creation.

17. Add basic schema markup – Organization, FAQPage, Article – to your key pages. It is not, by itself, a guaranteed citation booster, but it is table stakes for being machine-readable at all, and some brands have reported citation gains of up to 180% once entity signals became consistent.

18. Make sure your business name, address, and description read identically everywhere on the internet. Entity consistency across your own site, press mentions, and partner pages is what lets an AI model build one stable picture of you instead of several conflicting ones.

19. Start manually tracking how often you get mentioned in ChatGPT, Perplexity, and Gemini answers. You cannot improve a number you are not watching, and most teams have genuinely never looked.

20. Hand journalists and podcasters a real quote and a real data point whenever they ask. Digital PR is now a GEO tactic, not just a brand-awareness exercise, because third-party mentions are exactly what generative engines borrow authority from.

PART TWO: 10 THINGS THAT MAY BE DIFFICULT AND THAT WILL INVOLVE CHANGE

This is the tier where you’re not just adding things, you’re rearranging what’s already there. Nobody I talked to described this as fun. Several people who run in-house content teams described it as ‘necessary maintenance we’ve been avoiding.’ None of it means tearing your site down. It means changing how it’s organized.

1. Rewrite your key pages into self-contained, answer-first passages. Research points to an ideal passage length of roughly 134 to 167 words, with the direct answer in the first 40 to 60 words. That is a real rewrite, not a tweak, across every important page on the site.

2. Build a full entity register, not just a few schema tags. This means auditing every product, person, location, and claim on your site and formally declaring it in structured data so AI systems can verify rather than infer. One case study, InSinkErator, saw a 69% increase in clicks after entity linking work, without a full rebuild.

3. Consolidate or kill your thin and duplicate content. If you have 40 blog posts saying a version of the same thing, AI models see conflicting or diluted signals about what you actually know. Cutting the weak ones sharpens the strong ones.

4. Reorganize your site into topic clusters instead of a flat list of pages. This usually means new pillar pages, new internal linking, and reshuffling your navigation, which touches design, dev, and content all at once.

5. Deploy a full llms-full.txt and a markdown mirror of your key content. This goes beyond the simple llms.txt welcome mat into a genuinely structured, machine-first version of your site’s knowledge, which takes real technical coordination to build and keep current.

6. Commission original research or a proprietary data study. A single original statistic that other sites cite back to you can out-produce a dozen generic blog posts, but original research takes budget, time, and someone willing to own the project.

7. Stand up a real digital PR program instead of ad hoc pitching. Getting consistent third-party citations on news sites, industry blogs, and analyst roundups is a program with a budget line, not a favor you ask a friend at a trade publication.

8. Rebuild your internal linking around entities, not just keywords. This usually means an information-architecture project: mapping which pages talk about which people, products, and concepts, and linking them so the relationships are unmistakable to a crawler.

9. Fix your analytics so you can actually see AI referral traffic. An estimated 70.6% of AI-driven traffic arrives with no referrer header at all and is invisible in a default GA4 setup, so measuring this properly requires real tagging and reporting work, not a new dashboard widget.

10. Put someone’s name on a freshness calendar. Content needs a genuine review cadence, on a 30, 90, or 180-day cycle depending on how time-sensitive it is, and that means a process and an owner, not a one-time cleanup.

PART THREE: 10 THINGS THAT INVOLVE YOU OVERHAULING YOUR PROCESSES AND BUSINESS

This is the tier for the businesses that have decided AI search isn’t a channel, it’s the front door. It usually means taking the site down and reimagining it, not patching the one you’ve got. It is expensive, it is slow, and the people who’ve done it describe it as the same kind of decision mobile-first redesigns were in 2013 – obvious in hindsight, terrifying in the moment.

1. Move to a headless, API-driven content architecture. A basic schema plugin is not the same thing as a genuinely agent-ready site. Building the full stack – schema as the identity layer, llms.txt as the index, a live query interface on top – usually means replatforming.

2. Redesign your information architecture entirely around the questions people ask, not the products you sell. This flips how most companies have organized a website for twenty years, and it touches every team from product marketing to customer support.

3. Build a true knowledge graph of your business from the ground up. Not a handful of schema tags bolted onto old pages, but a genuine, cross-referenced map of every entity your company touches, engineered to be machine-verifiable at the source.

4. Integrate a live query interface, such as the emerging MCP standard, so AI agents can pull real-time data directly from you. This is the difference between an AI describing your business from a stale snapshot and an AI agent booking, comparing, or transacting with you live.

5. Rebuild your site to render cleanly for machines first, humans second. Heavy client-side JavaScript that looks fine to a person can be functionally invisible to an AI crawler. Fixing that properly usually means a front-end rebuild, not a patch.

6. Re-message your entire brand for entity consistency, everywhere, all at once. Every press mention, partner listing, and old profile that describes you differently becomes a liability. Fixing it at scale is a company-wide communications overhaul, not a website update.

7. Build an in-house AI-visibility measurement function. Real GEO maturity means tracking ‘share of model’ – how often you’re mentioned relative to competitors across a whole set of prompts – as a standing metric alongside revenue and pipeline, reported to leadership like any other channel.

8. Reorganize your marketing department itself around AI-search-first thinking. Several agency operators told me the honest fix isn’t a new job title bolted onto an existing team, it’s redrawing who owns content, PR, product marketing, and analytics so nobody’s optimizing for a search engine that’s shrinking.

9. Renegotiate how and where your content gets distributed. If the citation pool rewards third-party placements over owned content, your syndication, partnership, and licensing agreements need to be rebuilt around that reality, not your old content calendar.

10. Relaunch the site itself, built API-first, so AI agents can take action, not just read about you. Booking an appointment, adding something to a cart, comparing plans – the businesses winning this next wave are building for AI agents to complete tasks on a customer’s behalf, not just fetch a paragraph.

None of this is about abandoning SEO. Every credible researcher on this topic, from the original Princeton GEO paper to the agencies living in this data daily, says the same thing: GEO layers on top of SEO, it does not replace it. The pages that get cited by AI overwhelmingly still rank well in traditional search. But the businesses that treat this as optional, while the traffic that converts best keeps shifting toward AI-mediated discovery, are the ones that will spend 2027 wondering where their leads went. Start with part one this week. You already have everything you need.