AI Marketing Agent Setup: Paris for SEO and Paid Campaigns

Paris is the AI marketing agent Trojan Digital Marketing sets up to read the website facts, search data and ad accounts you approve. Paris turns them into search reviews, content briefs with sources, campaign reports and draft changes, and nothing goes live or spends until the person you name approves it. Pick a plan, call us to agree the work, then pay before onboarding starts.

For Paris, Focus could connect an approved page list and a Search Console review to one clear output. Team can separate search triage, a content brief and a campaign report with an approval handoff. Your purchase covers the agreed setup and monthly support. AI usage, hosting, platform subscriptions, ad spend and separately approved implementation cost extra.

Call about Paris setup

The first strategy call is free. During business hours, we aim to reply within five minutes. Call (317) 981-2386 or request a Paris callback. We'll review access, tasks and provider limits before taking setup payment. Jamie, our website assistant, can help you prepare that request, and the conversation doesn't buy or switch on Paris.

On our own site networks, we compare each town's search data over time and rebuild the towns that stay quiet. Paris can run that kind of period-to-period check on your pages and explain why each item comes first. Paris hasn't been installed for a client yet, so there's no past setup to show you. We start with one question: which search or campaign decision would get easier if its sources and next step arrived together?

Buy a marketing agent only when you can name the question it answers and the person who reads its work. We can configure Paris to examine an approved group of pages, compare agreed search periods or read an authorized ad report, then prepare recommendations with references. Your staff should be able to see which page, query, campaign or business fact led to each one.

Start with a recurring decision you already make. Maybe a service page gets impressions, yet callers still ask whether you offer that service. Or a manager wants to know whether a campaign is spending ahead of its approved period. Those situations call for different inputs, and we turn the problem into one workflow that can be tested with your actual information.

A workflow in the plan means one agreed trigger with a defined output and handoff, up to five actions and one approval step. A scheduled review of an approved page group may be one workflow, and a monthly campaign report is another. We count the work by its agreed behavior and don't assume every idea fits inside the first setup.

The first instruction explains what Paris may read, what it should produce and where uncertainty belongs. We can ask it to name a missing source or return a question for your team when the data doesn't support a conclusion. That keeps an incomplete analysis visible and stops a confident answer about facts nobody supplied.

Keep a recommendation separate from a live change.

Paris's base offer covers analysis and drafts. A recommendation to improve a title doesn't edit a published page, and a proposed budget change doesn't touch the ad account. The receiving staff member reviews the proposed wording or setting and its evidence. Development, content publishing and account changes get their own agreement and permissions, through our SEO and AI search work, paid campaign management or website design and development.

Your reviewer should know the business well enough to spot a service you don't provide. Search data may suggest interest in emergency work, and only your team can confirm whether you take it. We can write that restriction into the approved facts, with an owner who corrects them when availability or coverage changes.

The receiving person also needs authority over the proposed action. An office coordinator may understand inquiry quality without permission to raise media spend. We can route the report to that coordinator for context and keep the final budget decision with an approved manager.

We need approved facts before we ask an agent to explain your offer. Start with the service list, accepted work, contact route and actual coverage, then add the pages your team wants reviewed and the ad accounts in scope. Search Console and ad platform access belong to properties your business controls, with authorization for the data the workflow uses.

We don't need a customer's name to learn that people keep asking about financing or appointment availability. A short, approved description of the question may be enough. Remove account numbers and details unrelated to the marketing question. Your team decides which private material may reach the chosen AI provider, and we record that boundary in the configuration.

The plan's starting source allowance applies to pages and text-ready files. Focus includes up to 25, Team up to 75 and Operations up to 150, with each file up to 5 MB. A scanned archive needing transcription or a large document library gets a separate quote, and we check source quality before deciding whether more sources would help.

Each included connection covers one business account at one service that your company has authorized. Two analytics properties or two ad accounts can count separately even when a staff member views them through one login. The AI provider and hosting add their own metered charges, which we identify on the planning call.

For each source, save a recognizable name, the business owner and a last-reviewed date, so an expired offer is easy to find and retire. If Paris receives conflicting service descriptions, its report shows the conflict and asks for a decision. Repeating whichever document arrived last would make a fragile basis for public copy.

Search numbers help when the comparison is clear. Paris can prepare a report that states the property, date range, search type and filters before it describes a change, so your staff understand what was counted and can revisit the source without guessing how the chart was built.

Google's Search Console API lets an authorized user query data with filters and a selected date range. Its official query reference says the response doesn't guarantee every row, because the system returns top rows within its internal limits. We carry that limit into the report. A query table can show a pattern worth checking while some activity sits outside the exported view.

Choose a comparison that fits the business question. If a holiday changed your opening hours, an earlier period with ordinary hours may explain less than you hoped. If a page launched partway through the period, include that date. Paris asks for the missing context and won't present a bigger number as progress caused by a content change.

Keep impressions, visits and inquiries separate in the report.

An impression tells you something about visibility in the selected report. A click is a different event, and neither one tells the agent that your office spoke with a suitable customer. When the team wants to discuss inquiries, we need a separately approved record and a clear definition of an inquiry, and the report shows where the evidence ends.

Average position can change because the mix of searches changes. A broader set of questions may bring more impressions with a different average, so Paris explains which query group it examined before suggesting that a business-wide position improved or worsened.

Your staff can group queries by the customer problem they describe. Requests for a repair, a planned replacement and information about an unusual symptom may need separate destinations. Paris can propose a grouping with examples for staff to check, and your team confirms ambiguous wording so the next brief reflects work you can actually sell.

The readout ends with a bounded next action, such as checking a contact button, asking staff about an unclear service condition or drafting a section that answers a recurring question, and it names an owner and the evidence to check. You can try the search opportunity finder with your own Search Console data before discussing a connected setup.

A good recommendation can be blocked by a simple site defect. We can configure Paris to organize approved technical findings beside their affected URLs and the people who own them. The agent makes the issue easier to check, and a developer still confirms the cause and makes the repair.

For example, a customer may reach a service page through a menu while search crawlers meet a different link path. Google recommends crawlable links built as anchor elements with an href attribute. Paris can flag an observed navigation concern in a supplied audit, though a screenshot alone doesn't show the site's underlying link markup, so we keep the evidence matched to the claim.

Keep indexing observations dated.

The URL Inspection API reports the inspection data available for an authorized property. We can include supported results in the agreed task, recording when the check ran and which URL it covered. That observation doesn't guarantee a future indexing decision or mean every URL on the site was inspected.

Priorities should reflect the visitor's problem as well as the technical label. A broken inquiry route on a current service page may deserve attention before a cosmetic fix on an old article. Paris states that reasoning, and your staff decide whether the order fits capacity and current priorities.

The Jev Website Scanner on our site is a separate tool that can start a website discussion, and the published build log explains how that web app was made. The screenshot below shows the scanner's input screen as a reference for our website analysis work. It isn't a picture of a Paris interface.

A Paris content brief connects a customer question with the approved offer, source pages and a proposed place to answer it. We set the output up around the person writing or reviewing the page. The brief makes clear what the business can support, where evidence is missing and which claims need an owner's decision.

Start with one reader and one decision. A person comparing appointment types needs different information from someone checking whether you serve their town. Put that distinction at the top of the brief, and have Paris find the existing page that fits the question before recommending a new one.

We ask the writer to keep their own judgment. Search data can reveal a question without supplying the answer, and a model can draft a clear sentence while misunderstanding a service boundary. Reviewing the source beside the proposed wording keeps an uncertain inference from turning into a public business promise.

Google's people-first content guidance emphasizes useful information and clear attention to who created it, and its spam policies address scaled content made mainly to manipulate rankings. A large output count is a weak buying goal, so we configure Paris to make a small set of worthwhile decisions easier to check.

A brief can recommend improving a relevant page that already exists, or explain why another page needs a distinct purpose. Swapping a town name while keeping the same unsupported claims gives a customer little reason to read. You can start a do-it-yourself fact register with our AI answer kit, and the customer language miner helps you examine customer wording you have permission to use.

AEO work looks at the questions a person wants answered and how clearly your website supports an answer. Paris can organize those questions and draft answer briefs from approved facts. We keep improving a page and receiving a citation separate, because an outside search or answer service decides what it shows.

Google says established SEO practices also apply to its AI Overviews and AI Mode features, with no additional requirements or special optimizations for appearing in them. A supporting link needs an indexed page that can appear with a snippet, and meeting the requirements still doesn't guarantee that Google will crawl, index or serve it.

That changes what we ask Paris to investigate. We look at whether your information is accessible, accurate and connected inside the site. Paris can find questions an approved page leaves unanswered and help prepare wording that defines the service and states its conditions, and a reviewer confirms that the answer reflects the business.

Keep the promise close to the work you control.

We can agree a fact register, answer briefs and a reporting workflow. We can't assign a guaranteed citation to a search product we don't run, and the same goes for a number-one ranking or a fixed indexing date. Judge Paris by the quality and usefulness of the agreed outputs, alongside later search and business data.

Google also says special AI text files and extra structured data aren't needed for its AI search features, and structured data should match the page's visible text. That gives your team a clear check: does the page support the service and conditions its markup describes? Paris may flag a mismatch for a technical review.

A strong answer can be brief while the supporting page stays substantial. Put the direct answer near the opening and use the rest of the page for choices and boundaries, so a customer learns early whether you can help. Read our AI Overviews service if implementation is your immediate need.

Paris uses ad account data only through the authorization agreed with your business. We record the business, the account and the intended task before arranging a connection. The person granting access must be allowed to do so, and we name who can remove that access if the task or the working relationship changes.

Google's Ads API uses OAuth authorization and has extra access requirements, including a developer token, and its documentation explains access without handling a user's login details. For Meta account work, the official business SDK documents access tokens and permissions. Neither one makes every business account or requested action available automatically, so we check the specific account and method, and extra approval or bespoke development affects the quote.

Your staff shouldn't paste account passwords into a contact form or a public chat. We agree a supported authorization process during onboarding and keep the business's provider accounts in its own name where practical.

If an account connection fails, the report shows that it couldn't get the current input. It shouldn't quietly reuse an earlier report and call it fresh. A dated last-successful observation can stay for context, clearly marked, and a reviewer decides whether to wait, use an approved export or ask for support.

Authorization for a report also needs a sensible data boundary. You may want campaign totals without passing customer-level data to an AI provider, and a summarized input can do that. Where a task genuinely needs private records, the source owner and provider handling are approved before the workflow starts reading them.

A campaign report should say which account, dates and measurement definitions it uses. Paris assembles that context with the selected metrics, so the receiving person can tell whether a number describes platform activity, a recorded inquiry or a later business outcome.

Google's query documentation supports resources, metrics and segments in an authorized Ads API query. Choosing a segment changes how the metrics are grouped, so a report split by date answers a different comparison from one grouped by campaign or device. We set the report around the agreed question and make its grouping visible.

Before discussing cost per inquiry, define the inquiry count. Your business may count a completed form, a phone conversation that meets an agreed condition or a qualified request reviewed by staff. Those choices aren't interchangeable, and the report carries the definition and source so a changed counting rule doesn't look like a sudden campaign improvement.

A platform conversion can be useful without proving your team sold a job. If you want Paris to prepare a lead-quality comparison, supply the approved qualification data and a way to line it up with the campaign view. The lead cost calculator can help you model an acquisition allowance from your own qualification and close assumptions, and Paris keeps those assumed values apart from actual campaign findings.

Use a complete reporting day when the comparison needs daily spend, because a partial morning export can make an account look behind a full-day plan. Agree the account time zone and the point through which data is complete. Attribution and reporting delays can also affect a recent comparison, so Paris records when its report was prepared and which period may still change.

Currency belongs beside the amounts, and a multi-account report shouldn't quietly add different currencies into one spend total. If measurement is missing or unreliable, the next useful step may be a measurement audit, and our PPC audit service gives that its own scope. Connecting a reporting workflow doesn't repair the website, the phone tracking or the conversion definition.

The figures below are hypothetical teaching inputs. They aren't a client result or a spending proposal. Imagine a business has approved a 4,000-dollar media budget for a 30-day promotion. At the end of the eighth complete day, its entered spend is 1,200 dollars in the same account currency.

Paris could package that comparison with the campaign's approved purpose and a question for the manager. Was an early promotion surge intentional, has the offer changed, and are the reported inquiries useful to the business? The arithmetic shows a pacing difference and leaves the spending decision with the staff member who knows those conditions.

The campaign budget pacer runs this kind of calendar comparison with your own inputs. It doesn't connect to an ad account or change a budget. A Paris workflow can use an agreed calculation within its task, with the same line between a number and an approved account action.

Suppose the manager asks for a proposed adjustment. The next draft names the specific campaign and the budget field involved, with the current value, the proposed value and the approval window. A staff member confirms what that field means in the specific platform before the change is applied, and if the campaign changes before approval, the workflow asks for refreshed input and another approval.

This example helps us test whether the receiving person can use the packet. We can check the arithmetic, the source dates and whether uncertainty stays visible. None of those checks shows that a different daily setting will bring a lower lead cost or more booked work.

An approval workflow needs more detail than a button labeled yes. A Paris change request names the account, campaign or page and the affected setting or text. We agree who may approve it and what that approval covers, and a materially revised draft goes back for another review before anyone applies it.

Read-only reporting is a sensible place to start. If you want scoped account actions, we check the supported connection and the staff approval step separately. Paris never gets a blanket instruction to raise ad spend because a metric moved, and a plan's workflow allowance authorizes no specific account action by itself.

Google documents partial failure for some API requests, where successful operations may commit while others return errors. A request's results need checking, so a mixed outcome counts as neither full success nor a harmless failure to repeat. For supported actions, we test how retries are recognized so a completed change isn't applied twice, and an uncertain outcome goes to the agreed staff member to confirm the real account state.

Approval also needs a clear end. A manager can reject a draft, ask for a change or let it expire. Your staff stays responsible for policy, offer accuracy and budget authority, and we set the routing around that responsibility with a record of the proposal the person actually reviewed.

Paris can draft campaign text from approved offer data. We give it the actual service, conditions and destination, and a reviewer can see which input supports each important claim. If the source doesn't confirm a price, credential or availability, the draft leaves that detail for the business to answer.

Ad copy needs the same factual care as the landing page. A short headline can still imply a promise your team hasn't approved, so the campaign approver compares the headline with its landing page and every offer condition. That matters most when a promotion has an end date or only applies to some customers.

If an ad promises a price condition, the page has to explain it accurately, and the staff receiving the inquiry need to know what the customer was offered. Paris can organize those questions in the brief, and any page edits belong to an approved page task. The campaign URL builder helps your team keep tracking labels consistent, so two labels for the same offer don't muddy a report.

Campaign visuals need approval too. Use photographs your business has permission to publish and describe them accurately. We don't fabricate campaign screenshots or imply a result with a stock dashboard. Creative production has its own agreement, and our video editing and creative services cover that work when a campaign needs it.

Policy compliance stays an explicit responsibility. Your staff and advertiser confirm whether the offer and text follow the relevant platform rules and requirements. Paris can flag a concern and keep the source context, and we don't promise that a drafted ad will be accepted or that acceptance brings results.

Paris's monthly fee covers the support hours and operating check in your plan. It doesn't buy advertising inventory or cover every charge from an AI provider or connected platform. We prefer business-owned accounts billed directly where practical, and when we pay an authorized provider bill for you, we pass through the documented cost with no markup.

We agree the provider, account and monthly usage allowance during scoping and set up the usage controls available. Spending that reaches 80 percent of your approved provider allowance triggers a warning, and at the limit optional work pauses or goes to your named staff contact. Provider reporting can lag, so we keep a safety buffer and don't promise a universal exact spending stop.

That provider control is separate from your ad account budget. If a reporting allowance runs out, the next Paris report may pause, and that doesn't mean an existing ad has stopped serving. The receiving team needs a clear escalation for that case.

We count a processed event or requested task as a workflow run, and retries count too. A failed run can still use provider resources. Polling that finds no matching event sits outside the run count while staying within the approved API budget, so an allowance of 3,000 runs never stands in for prepaid media, AI tokens or unlimited account changes.

Focus includes one support hour a month, Team two and Operations three. Unused time expires at the end of the month. Extra work needs approval at 150 dollars an hour or a separate project quote, and new workflows, migrations and bespoke API development get a fresh quote.

Handoff matters even when the workflow is small. Setup includes representative testing, instructions and one training session for up to three, five or ten people, by plan. Your staff should know how to spot a failed analysis, ask for a correction and revoke access when a connection is no longer needed. If you end managed support, the handoff explains which accounts and settings remain and which scheduled work stops.

You don't need a list of agent features. Bring a question your staff can describe, such as which service page needs attention, why a useful answer is hard to find or whether a campaign is spending ahead of plan. We look at the source requirements and the person who'll use the report, then decide together whether Paris fits.

Choose a small test your team can judge. An approved page and a known customer question, or one campaign and its last full month, often reveal more about the workflow than a broad request to improve every result. If your immediate need is full campaign management, our Google Ads management service covers ongoing account work, and we can talk through the difference before you pay.

For other jobs, see all four agents. Hector helps you choose the next marketing task, Helen answers the website chat and missed calls a campaign brings in, and Priam prepares invoice drafts from finished jobs. If you're building your own agent, the business AI agent guide explains the source and approval questions behind it.

Call about Paris setup

Prefer a callback? Use our contact form with a short description of the search or campaign task. We settle the workflow by phone, then arrange payment, and onboarding starts after payment is confirmed. Keep account credentials out of the message.