You asked ChatGPT who handles fractional CFO work in Downtown Tampa, and it named two other firms while leaving yours out entirely.
Trojan's AI SEO, AEO and GEO for a business advisory practice in Downtown, Tampa, Florida lines up the facts ChatGPT and Google's AI answers read about your firm with your own site. It's for advisers who asked an AI tool about themselves and got, "I couldn't find much." In Florida, a trade name gets registered on Sunbiz before you do business under it.
Paste in what ChatGPT says when you ask it about your firm. The first strategy call is free, and during business hours we aim to reply within five minutes.
Firm facts matched across public records
Answers written so AI tools can quote them
A fact sheet your office keeps current
Jeff Clerisier has built websites since 2016 and founded Trojan in March 2018, years before AI answers sat on top of search results, so this work starts with the unglamorous part: writing the firm's facts down once and checking them against public records before they're repeated word for word on every page and profile.
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Trojan Digital Marketing offers AI SEO, AEO and GEO for consultancies, professional service firms and business advisers serving Downtown in Tampa. The project centers on consistent business facts, useful answers and evidence for AI SEO, AEO and GEO. For a business offering operations consulting, that means helping a prospective customer understand whether the engagement addresses the actual business problem and who will do the work and how to request an engagement discussion. The proposed examples below show how the work can be scoped around a real operating process.
Questions about AI SEO, AEO and GEO in Downtown, Tampa, Florida
It's priced after the free strategy call, because the work depends on how many pages and outside profiles carry your firm's facts and how far they disagree. If you'd like a scored look first, the $99 Jev audit reads up to 3,000 pages and scores each one for direct answers and clear business facts, alongside up to three competitors you name.
Why would our Sunbiz record matter to AI answers?
It's a public record stating your firm's legal name, so any tool that reads public sources can see it. Florida Statute 865.09 requires registering a fictitious name with the Division of Corporations before doing business under it, after advertising it once in a newspaper in your county. If your site uses a trade name that was never registered, that mismatch is the first thing to fix.
What's the difference between AI SEO, AEO and GEO?
AI SEO is the umbrella term. Under it, AEO means writing answers a tool can lift and quote whole, and GEO means checking that generative tools describe your firm correctly when someone asks about advisers in Tampa. For a small advisory practice, both rest on one short list of true facts about your services and where you work, repeated the same way everywhere.
Can you guarantee ChatGPT will recommend us?
No, and anyone promising that is guessing. What we can control is whether the facts about your firm agree everywhere a tool might look, and whether your pages answer client questions in plain sentences. We'd ask a set of those questions in the main AI tools before and after the work and keep the dated answers, so you can compare them yourself.
What happens first if we go ahead?
The work opens with a fact sheet: legal name, trade name, office address, services and the advisers who deliver them, checked against your Sunbiz record and your Google profile. Where they disagree, we fix the sources you control before asking anyone else to. Then each service page gets rewritten so its first paragraph answers the question a client asks about it.
Does being in Downtown Tampa change the work?
It changes which place names you lean on. Downtown has more than one official outline: the Tampa Downtown Partnership's Special Services District covers 1,177 acres, while the city's redevelopment area follows its own boundary. Give AI tools your street address and the areas you serve, and use Downtown as a description, because the word by itself doesn't pin you to one spot.
Do you have clients in Tampa?
Not yet. Trojan works remotely from Indianapolis, Indiana, and Jeff's Florida experience is a marketing role he held in West Palm Beach from 2018 to 2021, on the other coast. AI SEO doesn't depend on being down the street, since the work happens in public records and inside the AI tools themselves, and we can reach both from anywhere. Trojan also has more than 1,400 live websites you can ask about on the call.
Which Florida and Tampa records should match your site?
AI SEO for an advisory firm in Downtown, Tampa, Florida depends on public records agreeing with your pages, and these checked rules decide what those records say.
Downtown, Tampa, Florida
Florida Statute 865.09 requires anyone doing business under a fictitious name to register it with the Department of State first, after advertising the intent at least once in a newspaper in the county of the principal place of business.
Your site and Google profile should spell the trade name exactly as your Sunbiz filing does, so every source a tool reads names the same firm.
A corporation, LLC or partnership in good standing with the Division of Corporations doesn't need a fictitious name registration when it does business only under its registered name.
If your firm trades under its exact legal name, the Sunbiz entity record is the one your site and profiles should mirror.
The Tampa Downtown Partnership administers the Special Services District under an annual contract with the City of Tampa. It's the longest-operating business improvement district in Florida and covers 1,177 acres.
Because Downtown has more than one official outline, your structured data should carry your street address and service area, with Downtown as a description.
Checked through search results on 26 September 2026. This isn't legal advice, so confirm your own filing on Sunbiz. Trojan hasn't done AI search work for a Tampa firm yet.
How does a firm fact sheet get built and kept current?
AI SEO for a Downtown, Tampa advisory practice runs on one approved fact sheet, and these steps show who writes it and what makes it change.
Pull every public descriptionWe collect, word for word, how your site, your Google profile, your Sunbiz record and the larger directories describe the firm today.Trojan
Mark what's true nowA partner marks anything out of date, like an old suite number or a service the firm no longer offers.Your team
Write the approved fact sheetOne page with the legal name, trade name, address, services and the advisers behind them, in wording you sign off on.Together
Fix what you control firstEverything you control gets updated to match, from page copy to schema. Outside directories get correction requests, and we note any that haven't acted.Trojan
Recheck when the firm changesA new partner, a moved suite or a dropped service sends us back through every place the fact sheet lives.Your team
A consultancy's authority should be grounded in specific people, services and evidence. Trojan would create an approved map of the proposed Downtown firm's name, public profiles, consultant roles and engagement types. We would distinguish the firm from a consultant's earlier employer so a biography does not unintentionally attribute another organization's work to the current practice.
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The worked example is a service page that describes implementation support while a public profile calls the firm a strategy adviser only. We would resolve the current position with the responsible partner, then align owned descriptions and document legitimate external corrections. AEO answers would explain what a process assessment includes and what a client must contribute. GEO preparation would make approved project evidence easy to locate and interpret. An anonymized example would remain explicit about its limits. The objective is a factual body of material that a buyer can evaluate, with no invented rankings, awards or claims that an answer system must recommend the firm.
Connect professional expertise to verified current roles
Trojan would deliver an approved firm and consultant fact register, a list of inconsistent public descriptions and answer drafts for the major engagement types. The relationship between an individual's experience and the firm's current work would be recorded explicitly. Evidence would retain the conditions attached to anonymization and client permission.
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Implementation would begin with identity and service scope conflicts. Then we would prepare useful answers about assessment, client participation and implementation responsibilities. The partner would review every claim about experience and completed work. Acceptance would include checking that a public answer does not attribute a prior employer's project to the current consultancy. The resulting information can support sales material and website content as well as answer preparation, giving the firm a consistent factual foundation it can maintain as people and services change.
Which AI crawlers a CFO firm's robots.txt should welcome
Let OAI-SearchBot in, decide separately about GPTBot, and know that Google-Extended won't touch your Google rankings. Check your robots.txt for those three names before anyone edits a word of page copy.
Three AI crawler names a firm's robots.txt might list
Name in robots.txt
What it's for
What a block does
OAI-SearchBot
Finding pages ChatGPT search can surface and link.
OpenAI says a site that blocks it won't have content shown in ChatGPT search summaries and snippets.
GPTBot
Gathering pages that may help train OpenAI's models.
Keeps your pages out of that training without hiding you from ChatGPT search.
Google-Extended
A token governing certain Gemini training and grounding uses.
Google says it has no effect on your Google Search inclusion or ranking.
Why would a CFO firm block these by accident? A security plugin, a hosting setting or a cautious developer can add a blanket rule, and nobody at a finance firm reads robots.txt for fun. We'd check it before anything else, since a perfect fact sheet does nothing behind a locked door.
The fix is usually a few lines. We'd decide with you which crawlers to allow, write the rules, and note the date of the change in the same log we use for everything else. If you'd rather keep your pages out of model training, that's a fair choice, and it doesn't have to cost you a place in AI search.
One warning from experience: robots.txt edits are easy to make and easy to forget. We'd keep a copy of the file before and after each change, with a note on why, so the next developer doesn't undo a careful decision because it looked odd.
Finding the visits ChatGPT sends to your fee page
Filter Google Analytics for the chatgpt.com source to see visits from ChatGPT search links. OpenAI tags those links, so you can count at least part of what AI answers send to your fee and service pages.
Open Traffic acquisition In Google Analytics, go to Reports, then Acquisition, then Traffic acquisition.
Show session source Switch the table's main dimension to Session source and look for chatgpt.com in the list.
Add landing page Add Landing page as a second dimension. These are the pages ChatGPT chose to link.
Follow them to the contact page Check how many of those visits went on to reach your contact or booking page.
Log one line a month Visits, the top landing page and any inquiry that mentions ChatGPT. That's the whole record.
Read three months at a time Compare three-month stretches, since small numbers swing a lot from week to week.
For a fractional CFO practice, the landing pages tell a story. If ChatGPT keeps sending people to an old blog post about year-end closes, that post is doing sales work whether you planned it or not. We'd give it a clear next step, a current date and a link to the service page that matches, then watch whether inquiries follow.
The numbers will be small at first, and that's fine. A practice that signs a handful of clients a quarter doesn't need thousands of visits. We'd care far more about whether the two or three ChatGPT visitors a month land on a page that answers their question and shows them how to book a call.
Glance at the time of day, too. If ChatGPT visits cluster in the evening, a clear online booking link matters more than a phone number. Few people want to phone a finance firm at 9 p.m.
One firm, two names: legal name and trade name in markup
Put your legal name, trade name, alternate spellings and outside profiles in their own labeled fields of Organization markup. Tools reading your site then don't have to guess which name belongs to which firm.
Hypothetical example A made-up Downtown practice we'll call Gull Street Advisory LLC, which trades as Gull Street CFO
Before
The footer says 'Gull Street' in one place and 'GS Advisory' in another.
Markup lists only the trade name and a logo file.
LinkedIn and the Google profile each use a third spelling.
After
name holds 'Gull Street CFO', the name clients actually say.
legalName holds 'Gull Street Advisory LLC', exactly as registered with the state.
alternateName catches the 'GS Advisory' shorthand people still type.
sameAs lists the LinkedIn page and other profiles that describe the same firm.
address carries the full street address, suite included.
Markup isn't magic on its own. It helps when the visible page says the same thing, so the footer, About page and contact page should match it word for word. We'd write the visible text first, then the markup, then compare both against the state record you already keep.
For a finance practice, the legal name matters more than usual. Engagement letters, invoices and bank records use it, and a founder checking you out may search it. When your site ties the legal name to the name on your door, that search lands on you instead of a dead end.
Do we need a developer to add Organization markup?
Not always. Many site builders have a field or plugin for it. We'd still run the output through a structured data validator, since one missing comma can quietly break the whole block.
Where should the markup live?
Once, on the home page or the About page. We'd avoid pasting slightly different versions across a dozen pages, which invites exactly the confusion you're trying to fix.
Partner bios that keep an old employer's work off your record
Give each partner a bio with their full name, current role first, past employers marked as past, credentials with a public lookup link, and a last-checked date. That keeps AI answers from blending careers together.
Full name exactly as it appears on any license or professional listing.
Current title at your firm in the first sentence, before any history.
Past employers labeled 'before joining,' so a tool doesn't credit an old firm's work to yours.
Credentials with a link to the public lookup that confirms them, where one exists.
The kind of companies they help, in plain words, such as family businesses with 10 to 50 staff.
One photo, one email and the date the bio was last checked.
The 'before joining' label matters more than it looks. AI tools stitch answers together from scattered pages. A bio that says 'ran finance at a regional bank' with no dates can end up describing your firm as a bank. It sounds silly until you find it in an answer about your own company. We'd rather spend ten extra words on a bio than an afternoon asking a directory to fix it.
Bios need upkeep, too. When a partner earns a new credential, changes focus or leaves, the bio is the first page to update and the markup comes right after. We'd put bios on the same quarterly checklist as listings, so none of them drift for a year.
Hypothetical example An invented partner bio, first lines before and after
Before
'With 20 years in banking and big-four accounting, Dana brings deep expertise to every client.'
No dates, no current role and no firm name in the first paragraph.
After
'Dana Ruiz is a partner at Gull Street CFO, where she leads cash-flow planning for family businesses.'
'Before joining in 2022, she spent 11 years in commercial banking.'
A license lookup link and 'Bio checked September 2026' close the page.
A partner-by-partner scorecard of what the tools believe
Test the tools on hard facts: your legal name, CPA status, founding year and each partner's current role. Score every reply against the record you'd hand an auditor.
A sample scorecard for the invented Gull Street CFO
Entity fact
The record says
What a tool replied
Verdict
Legal name
Gull Street Advisory LLC
Gull Street CFO, LLC
Wrong. Check the footer and the markup.
CPA firm?
No. One partner holds a CPA license, and the firm doesn't.
Yes, a CPA firm
Wrong. The About page needs a plainer line.
Founding year
2019
2016, the year a partner's old employer opened
Wrong. A bio is blending two careers.
Dana Ruiz's current role
Partner, cash-flow planning
Controller at a regional bank
Stale. Her bio needs the 'before joining' label.
Second partner's credentials
Whatever the public lookup shows
Nothing found
Missing. Link the lookup from the bio.
List the facts that must never be wrong Legal name, trade name, founding year, CPA status and one row for each partner's current role.
Ask one flat question per fact 'When was Gull Street CFO founded?' beats a clever prompt, because the reply is simply right or wrong.
Keep the proof beside each row Note where the true answer lives, such as the state filing, a license lookup or the partner bio.
Score in one word Right, wrong or missing. A reply that praises the firm and gets the year wrong is still wrong.
Trace every wrong row Each miss points us at a page to fix, most likely a bio, the About page or an old directory listing.
Why facts instead of asking who the good CFOs in Tampa are? Recommendation prompts can swing with every rewording, and nobody can promise you'll be named. Entity facts have a right answer sitting in your own records. When a tool gets one wrong, you can usually find the page it borrowed from. For a finance firm, a wrong CPA status or founding year is also exactly the slip a careful founder notices.
Why ChatGPT's Tampa answers lean on your listings
ChatGPT search may send reworded searches to outside providers and share a rough location for local results. So your listings and profiles can shape its Tampa answers alongside your own site.
For a Downtown firm, the dull listings matter. If your Google profile, LinkedIn page and main directories still show last year's suite or a partner who left, a tool pulling local listings may repeat them. We'd search your firm's name from a Tampa location, collect every listing that shows up, and fix them in the order they appear.
Keep the list short and real. A CFO practice doesn't need forty directories. It needs a handful of accurate ones, the association or chamber pages you actually belong to, and a website that agrees with all of them.
Listings also carry small details your site may skip, like hours, a phone line or the year you opened. When those details disagree between sources, a tool has to pick one. We'd make the site the reference copy and bring every listing in line with it, starting with Google and LinkedIn.
Should we pay for listings on AI-focused directories?
We'd be wary. Pay only if clients genuinely use that directory to find advisers. A paid page nobody reads is one more place for your facts to go stale.
How often should listings be checked?
Every quarter, and right away when something changes, such as a new suite, a new partner or a new phone line. Tie the check to your clients' quarterly deadlines so it never slides.
Does it matter where we run our checks from?
It can. Since location may be shared for local answers, we'd run local prompts from a Tampa location when possible and label any run done from elsewhere, so results aren't compared unfairly.
Your Google Business Profile.
The LinkedIn company page.
Your professional association's member directory.
The chamber of commerce page, if you're a member.
Any accounting-software partner directory that lists you.
Repairing an AI answer that misstates your firm
Find the page the tool seems to echo, fix what you control, ask other sites to correct theirs and use the feedback buttons. Then give it a month before checking again.
Copy the wrong answer exactly Save the prompt, tool, date and full reply. You'll want the before picture later.
Hunt for the source Search the wrong detail in quotes. An old press release, a stale directory or a partner's former bio is a common culprit.
Fix your own pages first Update the site, markup and Google profile so everything you control says the same true thing.
Ask outside sites to correct Send each one a short, polite note with the right detail and a link to your page that shows it.
Use the feedback buttons In an AI Overview, press thumbs down and choose Report a problem. Chat tools have feedback buttons of their own.
Recheck after a month Add the question to your monthly scorecard, and we'll watch with you whether the reply shifts over the next few runs.
Patience is the hard part. Each tool updates on a timetable nobody outside the company can see, and a fix you made today may not show for weeks. We'd log each change with a date so that, when the answer finally corrects itself, you know which fix did the work.
Keep every correction request polite. The person reading it didn't write the mistake, and a friendly two-line note with a link tends to get handled sooner than a stern letter.
Can we ask ChatGPT or Google to simply change the answer?
We don't know of any form that edits an answer directly. Feedback buttons help, but the lasting fix is correcting the pages the tools read and waiting for them to catch up.
What if the wrong detail comes from a news story?
Ask the publication for a correction if it's genuinely wrong, and publish your own clear, dated statement of the fact. We'd never ask anyone to remove accurate reporting just because it's unflattering.
Answering 'what does a fractional CFO cost' without a rate card
Explain how your fees are set, what moves them and what a first engagement usually includes. An honest explanation gives AI tools something true to repeat when founders ask about cost.
Do we have to publish our rates?
No. You can explain the model instead: a monthly retainer, a project fee or hourly work, and what pushes a company toward each. That's still a real answer, and it's yours to give.
What makes a fee answer quotable?
Start with a sentence that names the model in plain words. Then add two or three things that move the price, like revenue size, the number of entities or how tangled the books are.
What if a tool invents a price for us?
Treat it like any wrong answer. Publish the correct explanation on one clear page, link it from your service pages, and add a row for it to your monthly scorecard.
Should we list a minimum engagement?
If you have one, yes. A clear minimum saves both sides a call, and AI tools can repeat it accurately. Say what it covers so it doesn't read like a price tag without context.
Hypothetical example The opening lines of an invented firm's fees page
Before
'Every engagement is unique. Contact us to discuss your needs.'
Nothing about retainers, projects or what changes the price.
After
'Most clients pay a monthly retainer set by revenue size, number of entities and reporting needs.'
'A one-time cleanup project comes first when the books are behind.'
'We quote after a free first call, usually within two business days.'
Cost questions are where founders make up their minds, so they deserve your clearest writing. We'd put the fee explanation on its own page, link it from every service page, and keep the opening two sentences short enough to survive being quoted alone. If a founder reads only those two sentences inside an AI answer, they should still know how you charge.
Asking the tools about Water Street and about Downtown
Ask an assistant for a fractional CFO near Water Street, then for one in downtown Tampa. If only one version finds you, the other name is missing from your pages.
Three neighborhood prompts and what each result tells a Downtown firm
Prompt
If your firm shows up
If it doesn't
Who offers fractional CFO work near Water Street in Tampa?
Your pages or listings already tie you to that name.
Add one plain sentence about the walk to Water Street, if it's true.
Fractional CFO in downtown Tampa?
Your address and label are doing their job.
Check that the footer, profile and markup agree on one label.
CFO help for a startup near the Channel District?
A nearby name is carrying you, which is fine.
Leave it alone unless clients really come from there.
A firm on the edge of Water Street might call itself Downtown on its site, Channelside on Google and Water Street on LinkedIn. Each one is defensible, and together they hand a tool three guesses. Pick the name clients use when they give directions, and let the others appear only in plain sentences.
We'd run the pair of prompts twice, a week apart, from a Tampa location. If the Water Street version never finds you and clients really use that name, one honest sentence on the About page is the fix. Switching your main label is a bigger move, so make it once and update every page and profile that same day.
What we can change in AI answers, and what we can't
We can make your facts consistent, your pages quotable and your tracking honest. We can't make ChatGPT, Gemini or Google recommend your firm, and we'll keep saying so.
Think of this as an engagement with no prior-year file. We've done no AI search work for a Tampa finance practice so far, and we work from Indianapolis. The work lives in public pages, listings and the AI tools themselves, all reachable from anywhere. What distance can't replace is the partner who knows which clients the firm is built for, and we'd lean on that judgment throughout.
We won't dress up a chatbot mention as a sales result, either. You'd see every reply exactly as the tool gave it, with its date, so you can judge for yourself the way you'd judge a client's numbers.
One detail a finance firm tends to care about: almost none of this touches client data. Apart from read access to your analytics, the scorecard, the listings and the markup all run on public facts, so there's no ledger access to grant.
Is AI search work separate from regular SEO?
They overlap a lot. Clear pages, accurate listings and consistent names help both. The AI-specific parts are the crawler settings, the fact scorecard and the tracking for AI referrals.
How much partner time does this take?
About an hour up front to agree on the fact sheet and bios, then a few minutes a month to glance at the scorecard. We'd bring questions to you in batches so nobody gets interrupted daily.
Will you name our firm in your own marketing?
Only with your written permission. Until then, anything we share publicly about the work stays anonymous.
Which crawlers to allow stays the partners' call.
How much to say about fees is yours to set.
Which neighborhood name to use comes from how clients talk.
Which past work can be described publicly depends on client permission.