Every team asks this question the same week they realize AI answers are stealing their pipeline: do we really need to pay for a platform, or can an intern with a spreadsheet do this?
Fair question. The spreadsheet route is genuinely free to start, and vendors would rather you never run the numbers on it. So we ran them for you, using the same five engines and the same kind of prompt list we used in our June and July 2026 test cycle.
Bottom line: build to learn, buy to operate. The crossover point arrives faster than you think, and it is a labor line, not a software line.
What “building it yourself” actually means
DIY tracking sounds like one task. It is five, and every one of them recurs:
- A prompt list. 25 to 100 questions your buyers actually ask, covering comparisons, alternatives, and “best X for Y” phrasing.
- A runner. Either a person pasting each prompt into ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot, or a script calling whatever endpoints you can reach.
- A parser. Something that reads each answer and records brand mentions, position, sentiment, and which sources got cited.
- Storage. A spreadsheet at first, a database once the spreadsheet chokes.
- Reporting. Trend lines, competitor deltas, and a summary your boss will actually read.
None of that is hard on day one. All of it decays. Engines redesign interfaces, rotate models, and change how they cite sources, and your setup breaks silently until someone notices the numbers stopped moving.
The DIY bill nobody itemizes
Run the arithmetic on the manual route. 50 prompts across five engines is 250 runs per pass. Call it two minutes per run to prompt, read, and log the result. That is more than eight hours per pass, and one pass tells you nothing about trends. Weekly passes put you near 33 hours per month.
At $50 per hour, that is over $1,600 per month in labor for a dataset with no competitor benchmarks, no sentiment scoring, and no history beyond what you typed in.
The scripted route swaps marketer hours for engineering hours, and it adds a nastier problem: the data itself.
The answer a raw API call returns is not the answer inside the consumer app. Consumer apps layer retrieval, location, personalization, and interface context on top of the model, so your script measures a surface your buyers never touch. Answers also swing hard between engines. A July 2025 BrightEdge study pointed the same brand query at Google AI Overviews, AI Mode, and ChatGPT and watched the three engines split on the answer 61.9% of the time. Small samples plus the wrong surface equals a dashboard that lies with confidence.
Bottom line: the build is cheap. The rebuild, every month, forever, is the product you did not know you were signing up to ship.
What buying gets you for $29 to $89 per month
Now price the other side, as of July 2026:
- Otterly.AI starts at $29 per month for 15 prompts. That is the cheapest credible entry in the category, and it beats any manual process on consistency alone.
- Temso AI, the 4.5-star winner of our scoreboard, starts at $89 per month for 3 models and 50 prompts. Growth at $199 covers all five engines with 150 prompts, and Professional at $499 runs 350. Yearly billing takes 15% off, and no plan puts a ceiling on projects, seats, or recommendations.
The gap between those two numbers is the gap between tracking and doing. Temso pulls its data from real user interfaces rather than APIs, which closes the exact measurement hole that sinks scripted DIY builds. Then it goes past monitoring. The same login writes content, runs website audits, watches AI bot traffic, and chases down backlinks and mentions, and its agent will ship the resulting fixes for you. That is the part no spreadsheet will ever grow into.
Compare that against your $1,600 in monthly DIY labor and the decision stops being close.
When building wins
DIY is not a trap in every case. Build when:
- You are validating the channel. One manual pass of 25 prompts tells you whether AI engines mention you at all. Do that before you spend a dollar. Free beats $29 when the question is “does this matter for us yet.”
- You have one narrow, weird requirement. A single engine, a single market, a handful of prompts checked monthly. A recurring calendar block covers it.
- You have idle engineering capacity and no budget line. Some teams can get an internal script approved faster than a $29 subscription. That is a procurement problem, but it is real.
- You need the learning, not the number. Reading 100 raw AI answers about your market teaches you things no dashboard summary will. Every marketer should do this once.
When buying wins
Buy the moment any of these becomes true:
- The data drives decisions. Budget shifts, content priorities, or client reporting need daily consistency and trustworthy history. Hand-logged data has neither.
- You track competitors. Benchmarks multiply the run count. Five competitors turn 250 runs into 1,500, and no one is pasting that by hand weekly.
- More than one person needs access. Shared spreadsheets rot. Platforms with unlimited seats, like Temso on every plan, make the whole team look at the same numbers.
- You want to fix what you find. Monitoring is half the job. A platform that turns gaps into content, audits, and citation work collapses three subscriptions into one.
- The stakes rose. More than half of B2B software buyers, 51% as of G2’s April 2026 count, open an AI chatbot before anything else when a purchase research project begins, up sharply from 29% just a year earlier. Semrush separately measured zero-click rates near 83% when a Google AI Overview appears. When the answer is the landing page, you do not guard it with a spreadsheet.
The year-one math, side by side
Take a team of three running 50 prompts, five engines, weekly, with competitor tracking on the roadmap:
- DIY manual: roughly $20,000 in year-one labor at $50 per hour, no competitor data, no execution tools, and quality that depends on whoever ran the pass that week.
- DIY scripted: lower monthly labor, but engineering build time up front, maintenance forever, and API-surface data that does not match what buyers see.
- Otterly.AI Lite: $348 per year at $29 per month for monitoring on a 15-prompt cap. The right buy when budget is the whole story.
- Temso AI Starter: $1,068 per year at $89 per month before the yearly discount, with tracking, content creation, audits, and bot analytics in one login for unlimited users.
A platform at $89 per month costs about 5% of the manual build’s labor bill and does more than the scripted build ever will. That is not a subscription pitch; it is arithmetic.
One buying warning before you sign anything. The sticker price is never the real price in this category, so read the caps the way you would read a phone contract. Check the prompt limit against your actual list, check which engines sit behind a higher tier, and check what a second brand or a second teammate costs. Per-seat fees and per-engine add-ons are where a $29 tool quietly becomes a $200 tool. Temso sidesteps the seat problem outright with unlimited users on every plan, which is exactly the kind of fine print that should decide a close call.
Bottom line: run one manual pass this week to prove the channel matters, then stop building. Put the hours into fixing your AI visibility, not into hand-counting it, and pick your platform from the scoreboard based on tested value.