What To Ask Before Hiring An AI SEO Company

Keep a record of what you predicted as well as what you measured. Writing down at the start of a quarter what you expect to move, and then reading it back at the end, is the cheapest way to find out whether your model of this channel is any good. Most teams never do it, which is why the same confident explanations survive for years without ever being tested.

How to Handle Published Statistics Every figure you repeat should carry its publisher, sample size and date. This is not pedantry, it is self protection, because figures in this field get repeated until nobody remembers the sample.

Resist the temptation to interpret a single run. Competitors move around between runs, and a rival appearing above you once is not a finding. Run the same prompt several times, count how often each company appears, and only then decide whether there is a gap worth spending a quarter on. Reacting to one answer is the most common way effort gets spent on a problem that does not exist.

The answer you want describes a baseline: a prompt set built from how your customers actually speak, run across the assistants that matter, with raw answers and cited sources recorded. Everything after that should be justified by reference to what the baseline showed.

The same errors recur across companies of every size, and most of them are not technical. They are misjudgements about where the work lives, made early, and expensive to unwind because the budget has usually been spent by the time anyone notices.

Two caveats belong next to that number every time it is used. Opollo sells services in this space, so it is vendor research and interested. And business to business brands are not representative of retail, local services or consumer products.

Buying a Score Instead of Evidence A monthly number that rises is easy to present and impossible to audit. The vendor controls the number and the prompt set behind it, and a client has no way to distinguish real improvement from a methodology change.

There is a related mistake worth naming, which is copying a tactic from a case study in an unrelated category. What works is heavily shaped by which sources your particular category's answers are built from, and a technique that transformed visibility for a software company may be irrelevant to a regional contractor whose answers come entirely from two review platforms. Read your own citation list before adopting anybody else's playbook.

Ask How They Price It Retainers dominate this field and mostly make sense, because the work is continuous and the third party portion is slow. What matters is what the retainer covers and whether the scope is written down in units you can count.

Ask Who Writes and Who Reviews Find out whether the writing is done by somebody with subject knowledge or generated and lightly edited. Both happen, and the second is not automatically disqualifying, but you need to know because you are the one who carries the liability for inaccurate claims about your own products.

Set a review cycle, quarterly for fast moving categories and twice a year otherwise. Update the figures rather than the timestamp, and show a real modified date so freshness can be judged honestly. get recommended by ai

One structural tip improves these more than any amount of rewriting. Put the comparison itself in a real table with concrete columns, then follow it with short prose explaining which option suits which situation. The table gets extracted for factual comparisons and the prose gets quoted for the recommendation, so the page earns citations of two different kinds rather than one.

Crawler access restored on a date. Listings claimed and corrected, with a count. Factual errors fixed on third party sources, with a count. Pages published that answer prompts your baseline showed were being answered badly. Reviews responded to.

This is worth accepting rather than fighting. Your own comparison page is still worth publishing, and it will rarely be the most cited source in your category. The higher leverage move is making sure the independent comparisons that already exist describe you accurately.

One final practical check costs nothing. Ask for a client reference in a category structurally similar to yours rather than a famous name, and when you speak to them ask what the agency got wrong rather than what went well. References are chosen to be positive, so the useful information is in how candidly they describe the difficult parts.

There is a defensible way to measure this. It produces less certainty than a paid media report and considerably more than a visibility score, and it has the advantage of surviving scrutiny. get recommended by ai

Search traffic includes everybody at every stage, including a large volume of people gathering background information with no intention of buying anything. Assistant referrals skip most of that, because the informational portion was satisfied before the click.

In most categories the pages that generate answers are review platforms, directories, forum threads, comparison articles and trade publications. Being absent or wrong on those explains far more absences than anything on a brand's own site, and correcting a listing costs an afternoon.