The agencies that get recommended most often when you ask an assistant are largely built for companies with internal marketing teams. That is not a criticism of them. It is a mismatch worth understanding before you spend six months discovering it.
The mismatch, concretely
The most-named agencies in this category tend to assume three things a small business does not have.
An internal team to work with. iPullRank, for instance, is explicit that its engagements are designed for large organizations with internal SEO teams, and Clutch lists a minimum project size of $50,000+. That is a coherent product for the buyer it is built for.
A twelve-month horizon. First Page Sage's content programs are typically structured to run twelve months or more, with retainers independent sources place in the $8,000 to $20,000+ per month range as of 2026.
Someone to absorb the process. Quarterly planning, monthly decks, and a stakeholder to attend them.
None of that is bad. It is sized for a company with a marketing function, and a small business buying it usually becomes the smallest account in the building.
What a small business actually needs
The unglamorous work done. Claiming and completing the citation sources your category runs on. It is the highest-value early work, it is finite, and it is the thing most likely to move your number in the first few weeks.
A small number of prompts tracked properly. Ten to fifteen, with someone reading the actual answers. Not sixty, which produces a report nobody reads and hides a flat result inside an average.
A short commitment. Month to month, or a fixed-scope engagement ending in a decision point. Both exist in this market.
Not many meetings. For a business without a marketing function, an hour a month is a real cost.
The option most articles skip
Hire nobody, and do it yourself.
If you have a marketing person with genuine hours, buy a one-off audit to work out which four things matter, then execute in-house. It costs a fraction of a retainer, the domain knowledge stays with you, and it works. We recommend this to people it fits, which is more of them than our commercial interest would suggest.
The case where that fails is specific: no named owner with real hours. Six fragmented hours a month competing with running a business loses most months, and losing three in a row makes the whole thing feel like it failed rather than paused.
The other option most articles skip
Do nothing yet.
Ask an assistant the five questions your buyers would ask, in a logged-out session. If nobody in your category gets named, including your competitors, the category is not there yet. That is a legitimate finding, it costs twenty minutes, and it saves a year of spending against a market that has not arrived.
What to look for if you do hire
The four questions, in order of how much they tell you:
- Can I see a prompt-level report from a real client?
- Do you separate being cited from being named, and which is my problem?
- Which citation sources matter in my category, specifically?
- How will you show me movement in the first month?
Bring the result of your own twenty-minute test. It changes the conversation, and it makes the third question answerable rather than theoretical.
Our own position, since we are one of the options
Omni Eclipse is built for this buyer: done-for-you, entry pricing designed to start with minimal risk, month to month, per-prompt reporting across five engines. That is the pitch and you should weigh it accordingly.
The honest counterweight: this is our own list, so read it as one input rather than a verdict. Run the prompts yourself in a logged-out session and see who your own category names.
Why small is an advantage here, not a handicap
The usual assumption is that a small business cannot compete for attention against companies with far larger budgets. In AI search that is much less true than it is in paid media, for three specific reasons.
The category is concentrated, not crowded. Across 608 answers we measured in one category, 66 brands were named at least once but five of them took 40% of all namings, and half the field sat below 1.5% visibility. Most of your competitors are not fighting for the answer. They are absent from it.
The highest-value work is unglamorous rather than expensive. Claiming and correcting your listings on the sources your category runs on costs time, not budget, and it is the work that moves first because the models re-read those sources frequently.
Specificity beats scale. A model building an answer to a narrow question wants a source that addresses that question directly. A small business that genuinely specializes has better raw material than a large one covering everything, and it is easier to write.
The constraint for a small business is almost never budget. It is that nobody owns the work, and the failure mode is starting in week one and stopping in week three.
What this looks like for businesses this size
“We went from nobody finding us on AI search to being recommended in almost half of all relevant queries. I didn't think that was possible without months of work and a huge budget.
Annie Belle Boutique went from nobody finding them on AI search to being recommended in almost half of relevant queries, in six days. PROCERT is a building certification firm that had grown entirely on referrals; within a couple of weeks of the work going live, a stranger inquired directly through the website.
Neither is a large company. Both are published with the starting number, the end number and the period: Annie Belle Boutique and PROCERT.
A worked example
A seven-person specialist retailer, one part-time marketer, competing against two national chains.
The assumption they started with. That the chains would dominate because they spend more. In paid search that was exactly true.
What the test showed. On broad questions the chains were named, as expected. On the six narrow questions about the specific products they specialize in, nobody was named at all. Not the chains, not them, nobody. The answers were being built from generic sources with no business named.
What they did. Six pages, one per narrow question, each answering it properly. Claimed three category-specific sources the chains had not bothered with. About twenty hours in total.
Where it landed. Named on four of the six narrow questions inside two months. Still not named on the broad ones, and that was fine, because the narrow ones were where their actual customers were.
Why this worked. A national chain optimizes for the broad question because that is where their volume is. The specific question is unattended, and a small specialist has better raw material for it than a chain does.
The general principle. Do not fight for the answer everyone wants. Take the six nobody has claimed.
See which questions name you
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Ashur Homa
Built and scaled a digital brand to $100M+ in sales with zero ad spend. Has helped businesses generate millions through AI go-to-market strategy. Leads growth at Omni Eclipse.
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