An investor who likes your pitch will open your site before the second meeting, sometimes during the first. They will land on the homepage cold, skim the pricing page, and compare you to the one competitor they already know. You get no narration while they do it. Whatever the page says on its own is what they judge.
You can see that first impression before they do. Point an AI assistant at your public site and have it run three ready-made studies, each one answering a question an investor will ask silently. The studies run from a chat, no code and no prompt writing. Below is what to run, why each one earns its place, and the failure mode when founders skip it.
Run a positioning audit so a stranger gets it in ten seconds
A positioning audit reads your homepage and key pages the way a cold visitor does: who is this for, what does it claim, does it prove the claim, and how do you start. It checks desktop and phone, and it comes back with the real screenshots it judged plus findings ranked by what each one costs you.
Why it works: you are too close to your own copy to read it cold. You know what the product does, so the homepage reads fine to you even when it opens with a slogan that could sit on any SaaS site. The audit catches the gap between what you meant and what the page actually says first.
The failure mode is the pitch where the investor nods along, then opens the site and cannot tell what you sell. The deck said one thing. The homepage leads with another. That mismatch reads as a team that has not decided what it is, which is worse than a rough page. If you want notes a writer can act on, see what a positioning audit hands a copywriter to rewrite from.
Run a pricing teardown so a buyer can tell what they would pay
A pricing page teardown asks one blunt question: can someone tell what they would pay and which plan is theirs. It works out the cost for a solo user, a team of 5, and a company of 25, reads the fine print, and checks the phone view. All from your public pricing page.
Investors read pricing as a proxy for whether you understand your buyer. A page that hides the number behind a demo request, or stacks five tiers with no clear default, signals you are guessing. A page where a solo founder and a 25-person team each find their price in a few seconds signals you know who pays and how much.
The failure mode is the "contact us" wall on every tier. The investor cannot model your revenue from the page, so they have to ask, and now you are explaining pricing in a meeting instead of closing a round. Run the teardown, find the tier that makes a reader squint, and fix it before anyone squints at you. Founders who skip this tend to make the same few errors the mistakes a founder won't read past catalogs.
Run a comparison study against the competitor they already know
A comparison study puts you next to two or three products for one decision, with a sourced, dated matrix and an honest overall lean. It uses your public pages plus web search, so it reads the same material an investor would read when they Google "you vs the obvious incumbent."
Why run it on yourself: the investor will make this comparison with or without you. Doing it first tells you where you actually win and where the honest answer is "they do that, we do not yet." Walking into a pitch knowing both is far stronger than being surprised by a question about the incumbent's feature you forgot they had.
The failure mode is claiming you have no competitor. Every founder who says that loses credibility the moment the investor names one. The comparison gives you a dated matrix you can reference instead, and if the study leans against you on one axis, you would rather know that from a study than from a term sheet that never comes. For the broader case, the competitive analysis page covers how the same method scopes a whole market.
Wiring it up takes about two minutes
These three studies run on public pages only, which means they finish inside a chat with nothing for you to do. Add Cobalt to the assistant you already use through its MCP connector, then ask in plain words, for example "Run a pricing teardown of yoursite.com/pricing." The AI coding agents hub has the exact steps for Claude, Cursor, Codex, and Perplexity, and the connect your coding agent guide walks the MCP setup line by line.
Each study comes back as a shareable review: a verdict at the top, screenshots of every page it judged, and findings ordered by cost. You can send the link to a cofounder, export it to PDF, or reopen it after you ship fixes. Re-running a study later leads with what got fixed, so the second pass doubles as a before-and-after you can show.
Cobalt is free to try with no credit card, unlimited reviews and screenshots. A review goes read-only for you after 7 days, though the shared link keeps working; Pro at $5 a month or $50 a year keeps everything editable with no cutoff. Before your next call, run all three on your own URL and read what a stranger reads. The cheap fixes are the ones you want gone before an investor finds them.