Why isn't my SEO working after 6 months?

Why isn't my SEO working after six months of effort?

Six months of organic work with nothing to show for it usually means one of three things: your pages aren't indexed, they're indexed but not good enough to beat what already ranks, or they rank for keywords nobody buys from. Starting point matters enormously. An established domain with existing traffic often sees real movement in six to eight weeks, while a brand-new site realistically needs four to six months for first rankings and closer to a year for consistent traffic. And roughly 95% of newly published pages never reach the top ten within twelve months — so patience by itself won't rescue a weak page.

The second trap is measuring on the wrong clock with the wrong ruler. Months one and two are almost entirely invisible: crawling, indexing, internal links and early impressions happen below the surface, which is exactly when most owners decide it isn't working and pull the plug. Revenue lags traffic by another two to three months, so a campaign that genuinely started compounding in month five can still look flat on a sales report in month seven. If you're tracking average position instead of enquiries by query, you'll misread both the problem and the progress.

Here's the unpopular opinion: publishing cadence is almost never the bottleneck. Twice-a-week posting isn't a strategy, and ten mediocre articles compete with each other rather than with your competitors. What moves rankings is being the single most useful page on the internet for a specific query, then surrounding it with three or four related pages that link to it and to each other. Scattered one-off posts across unrelated topics keep topical authority permanently thin. Before you commission more content, model what your current pages could realistically earn at their existing positions — the gap is usually revealing.

How do I tell if it's a content problem or a technical one?

You can separate the two in roughly twenty minutes using Search Console. If a page shows impressions, it's indexed and crawlable — your problem is content, intent or authority, not technology. If it shows zero impressions and zero coverage, you have an indexing problem, and no amount of rewriting will help until it's fixed. That single fork saves months of effort aimed at the wrong thing. Check the page indexing report first, then robots.txt, stray noindex tags, canonical tags pointing somewhere unexpected, and whether your sitemap actually lists the URLs you care about.

Crawl waste is the quiet technical killer on bigger sites. Tag archives, paginated category pages, filtered URLs with parameters, and near-duplicate location pages all consume crawl attention that should go to your money pages. When search engines spend their budget on thousands of low-value URLs, your genuinely good articles get revisited rarely and updates take weeks to register. Consolidate or block the noise, flatten your architecture so important pages sit within three clicks of the homepage, and make sure every priority page has at least a few internal links pointing at it from relevant content.

Once you've ruled out technical causes, judge your content against the pages currently ranking rather than against your own standards. Open the top three results and ask what they cover that you don't, what format they use, and whether they answer the query in the first paragraph. Most underperforming pages fail on intent: a buyer typing "best accountant for a small business" wants a shortlist, not a 1,500-word explainer on bookkeeping. Match the format the results already reward, add something genuinely new — original numbers, real examples, a clear position — and you've given a search engine a reason to switch.

Is my traffic down because of AI Overviews or because I lost rankings?

Compare impressions and clicks side by side at query level. If impressions held steady or grew while clicks fell, you didn't lose rankings — you lost the click to an AI answer. If impressions fell too, your positions actually dropped and you have a ranking problem. The distinction matters because the fixes are opposite. As of early 2026, close to half of queries can trigger an AI Overview, around 60% of searches end without any click at all, and the zero-click share on mobile runs far higher than on desktop. That pressure is real, and it isn't evenly distributed.

Which queries you depend on determines how hard you're hit. Independent studies of AI Overview impact landed on very different numbers — roughly 15% average CTR loss across all positions in one, about a third for position one in another, and as much as 61% for purely informational queries in a third. They're measuring different query mixes, not contradicting each other. Transactional and comparison queries lose far less, because people still need to visit a site to buy or book. Meanwhile overall US organic search traffic fell only a couple of percent year over year — a dent, not a collapse.

The strategic response isn't to abandon informational content; it's to stop depending on definition-style queries for revenue. Shift weight toward commercial and comparison terms where the click still happens, build branded demand so people search for you by name — branded queries with an AI Overview actually see higher click-through — and get your pages cited inside the AI answers themselves, since cited sources earn meaningfully more organic clicks than uncited competitors on the same query. One sentence summary: compete for the answer, not just the ranking.

What makes AI assistants cite your site instead of a competitor's?

AI assistants cite pages that are easy to extract, corroborated elsewhere and recently updated. The most reliably measured pattern is structure: pages with side-by-side comparisons, specification tables, clear Q&A blocks and self-contained paragraph answers get cited more often than flowing essays, even for queries that aren't comparison queries. Concrete numbers and quotable statements help; vague, hedged prose doesn't. Controlled research found that adding statistics or direct quotations to a page lifted its visibility in generative answers by around 40%. Write so any single paragraph can be lifted out and still make sense on its own.

Freshness carries far more weight here than in classic search. Roughly half of the content appearing in AI answers is less than three months old, and pages refreshed within the past year earn substantially more citations on engines that search the live web for every query. A ranking page can coast for years; a cited page decays. That argues for a maintenance habit most businesses skip — reviewing your top twenty pages quarterly, updating figures and dates, and adding whatever has genuinely changed. You can check how citable your pages look right now before guessing at fixes.

Off-site consensus is the factor almost nobody budgets for. These systems look for the same claim across several independent sources before repeating it confidently. If your site is the only place a fact appears, it's a risky citation; if it also shows up in a forum thread, a review platform profile, an industry publication and a video transcript, it reads as settled. Community sites and review platforms account for a striking share of all citations, which is why an active, honest presence on them does more for AI visibility than another round of on-page tweaks.

When should I stop investing in SEO and move the budget to ads?

Move the budget when you need leads inside 30 days, when your margins can absorb the cost per click indefinitely, or when you've genuinely diagnosed the problem and your market is too consolidated to enter organically. Those are the honest cases. What isn't a reason to quit is month four of a twelve-month build, or a flat dashboard you haven't actually investigated. Paid ads buy attention while the card is charged; organic pages keep returning visitors after the work stops. Both are legitimate — they're just different financial instruments, and swapping one for the other mid-build usually wastes the sunk effort.

Run the comparison properly before you decide. Track cost per qualified lead from each channel over twelve months, not cost per click, and include the content you'd keep either way. Paid campaigns start fast and plateau at whatever your bid tolerance allows; organic starts slow, with a compounding curve that typically bends upward around month six as each new page reinforces the last. Somewhere in year one, the per-lead lines usually cross. If you want the arithmetic laid out with real assumptions, we've worked through whether SEO actually costs less than Google Ads across a full twelve-month cycle.

The practical answer for most businesses isn't either-or. Keep paid running on your highest-intent commercial terms, where clicks still convert and AI summaries barely intrude. Point organic effort at the comparison, pricing, troubleshooting and local queries your buyers actually type, and make those pages the most extractable, best-corroborated versions available. Then stop judging the whole programme on a single traffic chart — measure indexed pages, query coverage, citations in AI answers and enquiries per topic cluster. If you'd like a second opinion on which of the four failure modes is yours, book a short diagnostic call.

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