Midtown Atlanta AI SEO, AEO and GEO So AI Tools Describe You Right

The shortlist prompts buyers type before they email anyone

Business buyers ask AI tools for a shortlist, a price and a comparison long before they fill out a demo form. Each of those prompts needs a page of yours to draw on.

Look at the right-hand column. None of it is exotic. These are pages most growing tech companies mean to write and never get around to, because the product always needs something more urgent. The trouble is that AI tools don't wait. If you haven't said how much you cost or who you're for, they'll build an answer from whatever they can find. That's often a reseller's old blog post or a review from two versions ago.

You can run these prompts yourself this week, in two or three tools, in about half an hour. Expect at least one answer that makes you laugh and one that makes you wince. In our experience, the wince points at the page to write first.

Don't panic at a bad first result. AI answers shift from week to week and from tool to tool, so one odd reply isn't a verdict. What matters is the pattern across a dozen prompts, run the same way, a few months apart. That's the baseline we'd set on day one, before a single page changes.

Write the comparison page you've been putting off

If you don't publish a fair comparison with the product buyers weigh you against, someone else's comparison becomes the one AI tools repeat. Write yours, date it and keep it honest.

• Compare only on things a buyer can check, like price, plans, integrations and support hours
• Link to the rival's own page for every claim about them, and note the date you checked
• Say plainly where they're stronger, since buyers trust a page that admits a trade-off
• Leave out adjectives about the rival entirely
• Put a review date at the top and refresh it every quarter

The 'choose them if' part tends to scare founders the most, and it's the part we'd fight hardest to keep. A page that admits a rival suits some teams better reads like advice. A page that says you win every row reads like an ad, and people skim ads. We'd rather lose a buyer who was never a fit than earn a churned customer six months later.

We'd build the page as a simple table with short notes. Buyers scan comparisons, and machines pull from clear rows more easily than from paragraphs full of qualifiers. Each row gets a source link and each quarter gets a fresh date, so the page stays something your sales team is happy to send.

Put pricing in daylight, even if it's only a starting point

A pricing page with a clear starting point and a date gives AI tools your number to repeat. Without one, the answer to 'how much' comes from wherever they can find it.

Founders tend to raise the same worry. If we publish prices, competitors will see them and big customers will anchor low. Both are fair concerns. But the prompt 'how much does it cost' gets answered either way. The only question is whose number shows up, and whether it's this year's.

Publishing a starting point also saves your sales team time. Buyers who could never afford you stop booking demos, and buyers who can afford you arrive already past the sticker shock. Few sales leads miss the calls that end with 'oh, that's more than we thought'.

• A starting price, or the price of your smallest plan
• What changes the price, such as seats, usage or contract length
• Whether there's a free trial or a free tier, and how long it lasts
• What every plan includes, so the cheapest plan isn't mistaken for a stripped-down demo
• When the page was last updated

We only sell custom enterprise contracts. What can we publish?

Publish the shape of the price instead of the number. Say whether you charge per seat, per location or per year, name a typical contract length and describe what moves the quote. That answers more of the question than 'contact sales' ever will.

Won't competitors undercut us once they see the numbers?

They may already know them from your prospects. Publishing mostly changes what buyers see first. We'd rather they see your honest range than a rumor from a forum thread.

Does the pricing page need special markup?

It helps machines read facts the page already shows, as long as the markup matches the visible text. Google's markup for software apps also asks for a real price offer and a genuine rating or review before it can show a rich result.

Should the starting price appear on the homepage too?

A short line is enough, like 'plans start at' with a link to the pricing page. Keep the full details in one place, so there's only one page to update when prices change and no stale copy left behind.

Docs and changelogs hold the product facts that go stale fastest

Every rename, retired plan or dropped integration leaves old descriptions scattered around the web. A dated changelog and tidy docs give machines a clear record of what's true now.

• A feature renamed in the app but still called by its old name in the docs
• A retired plan that's still listed on an old help page
• An integration you dropped that still appears in a partner directory
• Screenshots from two redesigns ago
• An old API version page with no note saying it's retired

1. Log the change with a date Add a changelog entry that says what changed, when, and what the old name or plan was called. One plain sentence is enough.
2. Update the docs the same week Search your help center for the old name and fix every page. Add a short 'formerly called' line on the main page for the feature.
3. Redirect retired pages Point old doc URLs at the page that replaced them, so outside links and bookmarks land somewhere current.
4. Fix the outside listings you control Update partner directories, marketplace listings and profiles where your company describes itself.
5. Rerun one prompt a month later Ask an AI tool about the feature by its new name and its old one, and note which version it describes.

Product teams move fast, and marketing pages rarely keep up. That gap is where AI tools pick up stale facts. Your engineers won't have to write marketing copy. We'd take the changelog entry they already write and carry the change through to the pages and listings buyers actually read. It's often about an hour of work per change, and it saves a lot of 'actually, we don't do that anymore' on sales calls.

The 'formerly called' line deserves special love. People search for the name they remember, even if your product team retired it last month. One sentence like 'Smart Queue, formerly called Auto Assign' connects the two for readers and for machines, and it costs nothing to keep.

When your company shares a name with something else

Plenty of startups share a name with an older company, a product or even a place. A consistent one-line descriptor and matching markup help machines tell you apart.

Name collisions are more common than founders expect. You picked a short, catchy word. Maybe a furniture brand in Ohio picked it too, and a podcast from 2019. When someone asks a chatbot about your company, it has to decide which one they mean. A vague homepage makes that guess harder.

The fix is boring and it works. Pick one descriptor, like 'Midtown Atlanta software company for dental clinics', and use it word for word in your homepage opening, your About page, your profiles and your markup. When every source says the same thing, there's much less room for a mix-up.

We also check what comes back when someone searches your name with a single extra word, like your city or your category. If the results still mix you up with the furniture brand, the descriptor isn't showing up in enough places yet, and that tells us where to add it next.

• One plain descriptor sentence, used everywhere without edits
• Your legal name, if it differs from the brand name
• The month and year you were founded
• Your street address, district and city, written out in text
• Links to your official profiles from your site, and back again
• The same logo file on your site and every profile

Two AI tools that show their homework, and how to read it

Perplexity footnotes its answers and Bing now reports Copilot citations to site owners. Both show which pages the machines lean on, which tells you where fixes will count.

1. Verify your site in Bing Webmaster Tools It's free. Plenty of teams set up Google Search Console years ago and never touched Bing's version.
2. Open the AI Performance report Note which of your pages get cited and which grounding queries lead to them. Those queries show how Copilot phrases questions about your field.
3. Run your shortlist prompts in Perplexity Click every numbered footnote. Write down which sites it cites for your category, including ones that aren't yours.
4. Sort the cited pages into three piles Your pages that are right, your pages that need fixing, and outside pages that describe you. The outside pile is where a polite correction email can help.
5. Log it with the date Keep the list in the same sheet as your prompt results, so next quarter you can see what moved.

Neither tool gives the full picture, and we'd never pretend otherwise. But together they're a rare look behind the curtain. For a B2B company, seeing that an answer engine keeps citing a three-year-old review of your product is worth more than any score. It tells us exactly which page to fix or which author to email.

One pattern to watch for: the same outside page cited again and again across different questions. That page has become a kind of reference for your category. Star it in your sheet. Whether it gets you right or leaves you out, it's the first place we'd go when it's time to ask for a listing or a fix.

Case studies an answer engine can quote without twisting

Write each case study so a single sentence pulled out of it stays true. Put the client type, the problem and the dated result in plain words near the top.

• A one-sentence summary with the kind of client, the problem and the result
• The client's name only with written permission, or a clear description of their type and size
• The starting point, with the date it was measured
• What you changed, in steps a buyer can picture
• The result, with dates and how it was counted
• A short quote the client approved, attributed to a real role

Plenty of B2B case studies bury the result in paragraph six, after the client's history and a lot of praise. That's backwards for people and for machines. If a buyer only reads the first two sentences, or an AI tool only quotes them, those sentences need to carry the whole story. Put the headline number in the first paragraph, with its date, and let the story explain it afterward.

Our own proof follows the same rule. For one local Indianapolis-area business, we publish the month, the measure and the comparison. In July 2026 its Google profile logged 523 interactions. That's 15.5 percent more than it logged in July 2025. We give no name and no stretch, only the dated number.

Mentions you earn away from your own website

AI tools read far more than your site. Partner directories, speaker pages, event recaps and local press often hold the outside descriptions of your company that answers draw on.

• Integration and partner directories that list your product
• Speaker bios from conferences and meetups
• Podcast show notes where a founder was a guest
• University or research partnership pages
• Local business news and startup roundups
• Member pages from groups you belong to

Your starred footnote list is where we'd begin. Those outside pages are already the ones AI tools lean on for your category, so one line on them can travel further than a new page on your own site. For each page, find a real person to write to. That might be the author, the editor or whoever keeps the list up to date.

We expect a slow reply rate, and we'd ask you not to take it personally. Editors of busy roundups get plenty of pitches. A short email that fixes a real error for their readers tends to get further than one that only asks for a favor. When there's an error to fix, we lead with it.

Be choosy about where you chase mentions. A paid listing on a directory nobody reads won't help people or machines much. A talk at a real meetup carries more weight. So does a partner page from a tool your buyers already use, or a local story about your launch, because real people read those pages.

1. Read the page before you write We check what it covers and how it picks who to include. A roundup of scheduling tools for clinics won't add a payroll product, however nicely you ask.
2. Ask for one specific change Name the section you'd fit in, or quote the line that's wrong about you. We skip vague notes asking to be mentioned, since they tend to sit unanswered.
3. Point to your proof We'd link the page on your own site that backs up each claim, such as pricing or integrations, so the editor can check it in a minute.
4. Log the ask and the answer We note the date, the person and any reply in the same sheet as your prompts. Follow up once after a few weeks, then let it go.

One hour a quarter that keeps the machines current

A short, repeatable check every quarter catches stale answers before buyers do. Rerun your prompts, read the citation reports and fix the one thing that matters most.

1. Rerun the saved prompts Use the exact wording from last quarter in the same tools, and save the replies beside the old ones.
2. Read the citation reports Check Bing's AI Performance report and your Perplexity footnote list for new or dropped pages.
3. Check dates on the pages that matter Pricing, comparison and About pages should each carry a date from this quarter. Anything older goes on the fix list.
4. Scan the changelog Look for renames or retired features since last quarter and make sure the docs and listings caught up.
5. Fix one thing, then stop Choose the single change most likely to correct a wrong answer, make it and log the date. Small and steady beats a frantic rewrite.

We keep the whole ritual in one shared sheet so you can run it without us if you want. Or we can run it with you on a call and log what changed in the same sheet. Either way, the point is the same: the facts about your company should never be older than your last product release.

The first quarter is the slow one, since we're building the prompt list, the page dates and the logs from scratch. After that, the hour really is an hour. A typical quarter might end with one or two small fixes and a sheet that proves the rest of the facts are still right.

Long sales cycles, shortlists and other founder worries

Most founder worries come down to how slowly this pays off and how much of it nobody controls. The honest answers are below, as plainly as we'd give them over coffee.

We have a long sales cycle. Does any of this move revenue?

Slowly and indirectly. It rarely creates a deal on its own. It makes sure a buyer who asks an AI tool about you early gets an accurate picture, so you don't lose them before your sales team ever hears their name.

Should our descriptions say Midtown or Atlanta?

Both, in that order when it fits, like 'based in Midtown Atlanta'. Midtown tells locals where you are, and Atlanta tells everyone else. Keep your full street address in plain text on the contact page too.

Can you get us named in ChatGPT's answers?

No one can honestly guarantee it, so we don't. Our part is keeping your own pages clear and current, fixing outside sources that describe you wrong and tracking the answers over time.

Should our blog answer questions about competitors?

Sometimes. A post that fairly explains when a rival is the better fit can earn trust and get quoted. A post that exists only to rank for a rival's name usually reads as sour, and buyers notice. We'd keep the head-to-head facts on your one dated comparison page and let blog posts link to it.

Do review-site listings matter more than our own pages?

They matter in a different way. Your pages are where you state the facts. Review sites are where buyers see what customers say about you, and AI tools often draw on them too. A thin or stale profile on a site your buyers trust can undercut a good answer, so we'd claim the big ones and keep their basics current.